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string
label
string
manifest
string
manifest_text
string
inquisitor_response
string
cot_text
string
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int64
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string
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float64
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fake_01792
deepfake
{"objects": [{"name": "face", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera_h...
Semantic Manifest: Objects: face Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: t, e, m, p, o, r, a, l, _, s, h, i, f, t
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows rPPG_anomaly β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [59, 167, 499, 4...
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows rPPG_anomaly β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [59, 167, 499, 4...
1
CONTRADICTION
0.86
[ 59, 167, 499, 482 ]
temporal_video
514
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01476
deepfake
{"objects": [{"name": "edge", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspective"...
Semantic Manifest: Objects: edge, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 44 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.80 Regi...
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 44 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.80 Regi...
1
CONTRADICTION
0.8
[ 161, 68, 591, 475 ]
frequency
444
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01156
deepfake
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}...
Semantic Manifest: Objects: face Lighting: overhead, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing face for specular reflection inconsistencies. </observe> <hypothesize> The face shows abnormal specular-diffuse ratio. face shows specular highlight inconsistency with soft overhead lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern d...
<observe> Analyzing face for specular reflection inconsistencies. </observe> <hypothesize> The face shows abnormal specular-diffuse ratio. face shows specular highlight inconsistency with soft overhead lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern d...
1
CONTRADICTION
0.83
[ 116, 106, 530, 491 ]
specular_reflection
100
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01543
deepfake
{"objects": [{"name": "skin", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "right", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "persp...
Semantic Manifest: Objects: skin, background Lighting: right, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera eye-level Temporal: outdoor, daytime
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 26 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.82 Regi...
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 26 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.82 Regi...
1
CONTRADICTION
0.82
[ 98, 51, 581, 490 ]
frequency
426
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01063
deepfake
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["opposite_all"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "pers...
Semantic Manifest: Objects: person, object Lighting: top-left, shadows: ['opposite_all'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing lighting: top-left source with shadows at ['opposite_all']. </observe> <hypothesize> This lighting_shadow pattern violates physical lighting laws. Single top-left source produces impossible shadow configuration: ['opposite_all'] </hypothesize> <test> Light at top-left cannot produce shadows in state...
<observe> Analyzing lighting: top-left source with shadows at ['opposite_all']. </observe> <hypothesize> This lighting_shadow pattern violates physical lighting laws. Single top-left source produces impossible shadow configuration: ['opposite_all'] </hypothesize> <test> Light at top-left cannot produce shadows in state...
1
CONTRADICTION
0.95
[ 66, 188, 415, 317 ]
lighting_shadow
55
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00207
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level...
Semantic Manifest: Objects: person Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.89
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00604
clean
{"objects": [{"name": "person", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera...
Semantic Manifest: Objects: person Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: indoor, artificial_light
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
1
CONSISTENT
0.93
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01853
deepfake
{"objects": [{"name": "hands", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera_...
Semantic Manifest: Objects: hands Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: f, r, a, m, e, _, r, a, t, e
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows shadow_temporal_shift β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.87 Region: [116, 1...
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows shadow_temporal_shift β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.87 Region: [116, 1...
1
CONTRADICTION
0.87
[ 116, 110, 524, 346 ]
temporal_video
521
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01116
deepfake
{"objects": [{"name": "face", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "right", "shadow_directions": ["sharp"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "pe...
Semantic Manifest: Objects: face, background Lighting: right, shadows: ['sharp'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera eye-level Temporal: outdoor, daytime
<observe> Analyzing face for specular reflection inconsistencies. </observe> <hypothesize> The face shows abnormal specular-diffuse ratio. Face shows abnormal specular-diffuse ratio for diffuse lighting with ['sharp'] </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pa...
<observe> Analyzing face for specular reflection inconsistencies. </observe> <hypothesize> The face shows abnormal specular-diffuse ratio. Face shows abnormal specular-diffuse ratio for diffuse lighting with ['sharp'] </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pa...
1
CONTRADICTION
0.85
[ 194, 74, 535, 310 ]
specular_reflection
161
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00578
clean
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.95
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01503
deepfake
{"objects": [{"name": "skin", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: skin Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 41 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.81 Regi...
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 41 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.81 Regi...
1
CONTRADICTION
0.81
[ 70, 121, 435, 437 ]
frequency
441
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00585
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level...
Semantic Manifest: Objects: person Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00789
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "right", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "per...
Semantic Manifest: Objects: person, background Lighting: right, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera eye-level Temporal: outdoor, daytime
<observe> Primary light source: right. Shadow direction: left. Intensity: harsh. </observe> <hypothesize> The lighting configuration is physically consistent. right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: right β†’ left. This follows Lambert's law. No physical violations de...
<observe> Primary light source: right. Shadow direction: left. Intensity: harsh. </observe> <hypothesize> The lighting configuration is physically consistent. right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: right β†’ left. This follows Lambert's law. No physical violations de...
1
CONSISTENT
0.95
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00987
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00017
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.89
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01850
deepfake
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: t, e, m, p, o, r, a, l, _, s, h, i, f, t
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows rPPG_anomaly β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [69, 121, 464, 3...
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows rPPG_anomaly β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [69, 121, 464, 3...
1
CONTRADICTION
0.86
[ 69, 121, 464, 333 ]
temporal_video
514
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01221
deepfake
{"objects": [{"name": "cheeks", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera_h...
Semantic Manifest: Objects: cheeks Lighting: top-right, shadows: ['bottom'], intensity: soft Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: indoor, artificial_light
<observe> Analyzing cheeks for specular reflection inconsistencies. </observe> <hypothesize> The cheeks shows abnormal specular-diffuse ratio. cheeks shows specular highlight inconsistency with soft top-right lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pa...
<observe> Analyzing cheeks for specular reflection inconsistencies. </observe> <hypothesize> The cheeks shows abnormal specular-diffuse ratio. cheeks shows specular highlight inconsistency with soft top-right lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pa...
1
CONTRADICTION
0.83
[ 120, 71, 463, 441 ]
specular_reflection
108
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01378
deepfake
{"objects": [{"name": "eyes", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}...
Semantic Manifest: Objects: eyes Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing eyes anatomical structure. </observe> <hypothesize> Anatomical violation detected: Eye region shows asymmetric feature limbal_ring inconsistency </hypothesize> <test> The eyes shows characteristics typical of AI-generated content. Distortion-5K pattern confirmed. </test> <verdict> CONTRADICTION β€” co...
<observe> Analyzing eyes anatomical structure. </observe> <hypothesize> Anatomical violation detected: Eye region shows asymmetric feature limbal_ring inconsistency </hypothesize> <test> The eyes shows characteristics typical of AI-generated content. Distortion-5K pattern confirmed. </test> <verdict> CONTRADICTION β€” co...
1
CONTRADICTION
0.86
[ 165, 120, 453, 494 ]
anatomical
264
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00124
clean
{"objects": [{"name": "person", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera...
Semantic Manifest: Objects: person Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: indoor, artificial_light
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
1
CONSISTENT
0.91
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01335
deepfake
{"objects": [{"name": "ears", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: ears Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Analyzing ears anatomical structure. </observe> <hypothesize> Anatomical violation detected: Ear shows asymmetric lobe β€” anatomical implausibility </hypothesize> <test> The ears shows characteristics typical of AI-generated content. Distortion-5K pattern confirmed. </test> <verdict> CONTRADICTION β€” confidence...
<observe> Analyzing ears anatomical structure. </observe> <hypothesize> Anatomical violation detected: Ear shows asymmetric lobe β€” anatomical implausibility </hypothesize> <test> The ears shows characteristics typical of AI-generated content. Distortion-5K pattern confirmed. </test> <verdict> CONTRADICTION β€” confidence...
1
CONTRADICTION
0.82
[ 199, 75, 427, 444 ]
anatomical
395
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01950
deepfake
{"objects": [{"name": "face", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera_h...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera low Temporal: indoor, artificial_light
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 6: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confidenc...
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 6: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confidenc...
1
CONTRADICTION
0.9
[ 135, 111, 538, 329 ]
composite
536
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01045
deepfake
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["impossible_angle"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "...
Semantic Manifest: Objects: person, object Lighting: top-left, shadows: ['impossible_angle'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing lighting: top-left source with shadows at ['impossible_angle']. </observe> <hypothesize> This lighting_shadow pattern violates physical lighting laws. Single top-left source produces impossible shadow configuration: ['impossible_angle'] </hypothesize> <test> Light at top-left cannot produce shadows ...
<observe> Analyzing lighting: top-left source with shadows at ['impossible_angle']. </observe> <hypothesize> This lighting_shadow pattern violates physical lighting laws. Single top-left source produces impossible shadow configuration: ['impossible_angle'] </hypothesize> <test> Light at top-left cannot produce shadows ...
1
CONTRADICTION
0.95
[ 74, 97, 435, 422 ]
lighting_shadow
58
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01482
deepfake
{"objects": [{"name": "edge", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}...
Semantic Manifest: Objects: edge Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 39 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.83 Regi...
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 39 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.83 Regi...
1
CONTRADICTION
0.83
[ 199, 61, 579, 318 ]
frequency
439
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00606
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level...
Semantic Manifest: Objects: person Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.94
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00415
clean
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01577
deepfake
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspectiv...
Semantic Manifest: Objects: person, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera low Temporal: indoor, daytime
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows perspective_violation for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [111, 117, 452, 358] </ver...
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows perspective_violation for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [111, 117, 452, 358] </ver...
1
CONTRADICTION
0.85
[ 111, 117, 452, 358 ]
pose_body
465
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01978
deepfake
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "low"}, "tempo...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera low Temporal: indoor, natural_light
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 21: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 21: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
1
CONTRADICTION
0.91
[ 79, 128, 406, 402 ]
composite
551
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00222
clean
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspectiv...
Semantic Manifest: Objects: person, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
1
CONSISTENT
0.95
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01848
deepfake
{"objects": [{"name": "hands", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"},...
Semantic Manifest: Objects: hands Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: m, o, t, i, o, n, _, b, l, u, r
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows optical_flow_discontinuity β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [9...
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows optical_flow_discontinuity β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [9...
1
CONTRADICTION
0.85
[ 93, 196, 413, 468 ]
temporal_video
525
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00955
clean
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspectiv...
Semantic Manifest: Objects: person, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
1
CONSISTENT
0.96
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00603
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.89
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01813
deepfake
{"objects": [{"name": "face", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspective"...
Semantic Manifest: Objects: face, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: c, o, m, p, r, e, s, s, i, o, n
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows lighting_flicker β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [77, 133, 54...
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows lighting_flicker β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [77, 133, 54...
1
CONTRADICTION
0.85
[ 77, 133, 542, 466 ]
temporal_video
522
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01615
deepfake
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows pose_inconsistency for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.87 Region: [84, 188, 445, 451] </verdict...
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows pose_inconsistency for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.87 Region: [84, 188, 445, 451] </verdict...
1
CONTRADICTION
0.87
[ 84, 188, 445, 451 ]
pose_body
485
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01575
deepfake
{"objects": [{"name": "person", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "right", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "per...
Semantic Manifest: Objects: person, background Lighting: right, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera low Temporal: outdoor, daytime
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows proportion_distortion for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [140, 105, 546, 368] </ver...
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows proportion_distortion for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [140, 105, 546, 368] </ver...
1
CONTRADICTION
0.85
[ 140, 105, 546, 368 ]
pose_body
480
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00451
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level...
Semantic Manifest: Objects: person Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00339
clean
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.94
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01470
deepfake
{"objects": [{"name": "edge", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}...
Semantic Manifest: Objects: edge Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 24 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.80 Regi...
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 24 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.80 Regi...
1
CONTRADICTION
0.8
[ 148, 115, 538, 485 ]
frequency
424
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00521
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level...
Semantic Manifest: Objects: person Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.93
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01677
deepfake
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": "outdoor_props"}, "perspective": {"vanishing_point": "center", "camera_height...
Semantic Manifest: Objects: person Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=outdoor_props Perspective: center vanishing point, camera eye-level Temporal: i, n, d, o, o, r
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows impossible_background β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [58, 122, 552, ...
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows impossible_background β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [58, 122, 552, ...
1
CONTRADICTION
0.86
[ 58, 122, 552, 304 ]
environment
502
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01629
deepfake
{"objects": [{"name": "torso", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera_...
Semantic Manifest: Objects: torso Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: indoor, artificial_light
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows limb_elongation for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [132, 54, 438, 312] </verdict>
<observe> Analyzing scene for pose_body inconsistencies. </observe> <hypothesize> Pattern violation: Body shows limb_elongation for camera height </hypothesize> <test> Physical/logical inconsistency confirmed in pose_body domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [132, 54, 438, 312] </verdict>
1
CONTRADICTION
0.86
[ 132, 54, 438, 312 ]
pose_body
481
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01773
deepfake
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": "wall"}, "perspe...
Semantic Manifest: Objects: person, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=wall Perspective: center vanishing point, camera eye-level Temporal: n, i, g, h, t, t, i, m, e
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows temporal_inconsistency β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.89 Region: [103, 156, 505...
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows temporal_inconsistency β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.89 Region: [103, 156, 505...
1
CONTRADICTION
0.89
[ 103, 156, 505, 311 ]
environment
493
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00822
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "right", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "per...
Semantic Manifest: Objects: person, background Lighting: right, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera eye-level Temporal: outdoor, daytime
<observe> Primary light source: right. Shadow direction: left. Intensity: harsh. </observe> <hypothesize> The lighting configuration is physically consistent. right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: right β†’ left. This follows Lambert's law. No physical violations de...
<observe> Primary light source: right. Shadow direction: left. Intensity: harsh. </observe> <hypothesize> The lighting configuration is physically consistent. right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: right β†’ left. This follows Lambert's law. No physical violations de...
1
CONSISTENT
0.95
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01208
deepfake
{"objects": [{"name": "skin", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "diffuse", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "per...
Semantic Manifest: Objects: skin, background Lighting: diffuse, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera eye-level Temporal: outdoor, daytime
<observe> Analyzing skin for specular reflection inconsistencies. </observe> <hypothesize> The skin shows abnormal specular-diffuse ratio. skin shows specular highlight inconsistency with harsh diffuse lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern d...
<observe> Analyzing skin for specular reflection inconsistencies. </observe> <hypothesize> The skin shows abnormal specular-diffuse ratio. skin shows specular highlight inconsistency with harsh diffuse lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern d...
1
CONTRADICTION
0.85
[ 73, 142, 464, 321 ]
specular_reflection
110
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00288
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01771
deepfake
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": "sky"}, "perspective": {"vanishing_point": "right", "camera_height": "...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=sky Perspective: right vanishing point, camera high Temporal: n, i, g, h, t, t, i, m, e
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows season_mismatch β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.89 Region: [96, 109, 581, 374] <...
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows season_mismatch β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.89 Region: [96, 109, 581, 374] <...
1
CONTRADICTION
0.89
[ 96, 109, 581, 374 ]
environment
505
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01222
deepfake
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Analyzing frequency domain for generation artifacts. </observe> <hypothesize> GAN/diffusion fingerprint detected: Image shows latent trajectory embedding anomaly β€” LATTE fingerprint pattern </hypothesize> <test> DCT analysis and spectral fingerprinting reveal AI generation traces. CIPHER/DiffusionPrint patter...
<observe> Analyzing frequency domain for generation artifacts. </observe> <hypothesize> GAN/diffusion fingerprint detected: Image shows latent trajectory embedding anomaly β€” LATTE fingerprint pattern </hypothesize> <test> DCT analysis and spectral fingerprinting reveal AI generation traces. CIPHER/DiffusionPrint patter...
1
CONTRADICTION
0.84
[ 122, 56, 568, 377 ]
gan_fingerprint
246
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00318
clean
{"objects": [{"name": "person", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera...
Semantic Manifest: Objects: person Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: indoor, artificial_light
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
1
CONSISTENT
0.96
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01966
deepfake
{"objects": [{"name": "face", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "pe...
Semantic Manifest: Objects: face, background Lighting: top-left, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera low Temporal: outdoor, daytime
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 15: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 15: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
1
CONTRADICTION
0.91
[ 123, 62, 437, 390 ]
composite
545
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01884
deepfake
{"objects": [{"name": "hands", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"...
Semantic Manifest: Objects: hands Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: m, o, t, i, o, n, _, b, l, u, r
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows optical_flow_discontinuity β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [1...
<observe> Analyzing scene for temporal_video inconsistencies. </observe> <hypothesize> Pattern violation: Frame shows optical_flow_discontinuity β€” temporal deepfake trace </hypothesize> <test> Physical/logical inconsistency confirmed in temporal_video domain. </test> <verdict> CONTRADICTION β€” confidence 0.85 Region: [1...
1
CONTRADICTION
0.85
[ 195, 187, 491, 385 ]
temporal_video
525
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00269
clean
{"objects": [{"name": "person", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera...
Semantic Manifest: Objects: person Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: indoor, artificial_light
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01961
deepfake
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "side", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspective": ...
Semantic Manifest: Objects: person, object Lighting: side, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 14: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 14: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
1
CONTRADICTION
0.9
[ 55, 124, 448, 316 ]
composite
544
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00704
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.89
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00187
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.96
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00734
clean
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspectiv...
Semantic Manifest: Objects: person, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
1
CONSISTENT
0.92
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01164
deepfake
{"objects": [{"name": "nose", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "side", "shadow_directions": ["bottom"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspective": {"vani...
Semantic Manifest: Objects: nose, object Lighting: side, shadows: ['bottom'], intensity: soft Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing nose for specular reflection inconsistencies. </observe> <hypothesize> The nose shows abnormal specular-diffuse ratio. nose shows specular highlight inconsistency with soft side lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern detec...
<observe> Analyzing nose for specular reflection inconsistencies. </observe> <hypothesize> The nose shows abnormal specular-diffuse ratio. nose shows specular highlight inconsistency with soft side lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern detec...
1
CONTRADICTION
0.85
[ 92, 112, 532, 344 ]
specular_reflection
106
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00797
clean
{"objects": [{"name": "face", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-level"}, ...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
<observe> Primary light source: top-left. Shadow direction: bottom-right. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-left light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-left β†’ bottom-right. This follows Lambert's law. N...
1
CONSISTENT
0.94
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01962
deepfake
{"objects": [{"name": "face", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera_h...
Semantic Manifest: Objects: face Lighting: top-left, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera low Temporal: indoor, artificial_light
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 0: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confidenc...
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 0: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confidenc...
1
CONTRADICTION
0.9
[ 183, 135, 505, 448 ]
composite
530
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00818
clean
{"objects": [{"name": "person", "position": "center-left", "occludes": ["background"]}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "diffuse"}, "depth": {"foreground": ["person"], "midground": [], "background": ["wall"]}, "perspective": {"vanishing_point": "center", "camera...
Semantic Manifest: Objects: person Lighting: overhead, shadows: ['bottom'], intensity: diffuse Depth: foreground=['person'], midground=[], background=['wall'] Perspective: center vanishing point, camera eye-level Temporal: indoor, artificial_light
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: diffuse. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physica...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01206
deepfake
{"objects": [{"name": "jawline", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-leve...
Semantic Manifest: Objects: jawline Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['person'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing jawline for specular reflection inconsistencies. </observe> <hypothesize> The jawline shows abnormal specular-diffuse ratio. jawline shows abnormal Retinex texture estimation for soft lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern...
<observe> Analyzing jawline for specular reflection inconsistencies. </observe> <hypothesize> The jawline shows abnormal specular-diffuse ratio. jawline shows abnormal Retinex texture estimation for soft lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SRI-Net pattern...
1
CONTRADICTION
0.79
[ 81, 90, 512, 416 ]
specular_reflection
149
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00574
clean
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspectiv...
Semantic Manifest: Objects: person, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
<observe> Primary light source: overhead. Shadow direction: bottom. Intensity: overcast. </observe> <hypothesize> The lighting configuration is physically consistent. overhead light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: overhead β†’ bottom. This follows Lambert's law. No physic...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01173
deepfake
{"objects": [{"name": "face_cheeks", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height"...
Semantic Manifest: Objects: face_cheeks Lighting: top-right, shadows: ['bottom-left'], intensity: harsh Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Analyzing face_cheeks for specular reflection inconsistencies. </observe> <hypothesize> The face_cheeks shows abnormal specular-diffuse ratio. face_cheeks shows abnormal Retinex texture estimation for harsh lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SR...
<observe> Analyzing face_cheeks for specular reflection inconsistencies. </observe> <hypothesize> The face_cheeks shows abnormal specular-diffuse ratio. face_cheeks shows abnormal Retinex texture estimation for harsh lighting </hypothesize> <test> Specular highlight geometry is inconsistent with stated light source. SR...
1
CONTRADICTION
0.81
[ 94, 126, 557, 451 ]
specular_reflection
142
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01288
deepfake
{"objects": [{"name": "skin", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "high"...
Semantic Manifest: Objects: skin Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Analyzing frequency domain for generation artifacts. </observe> <hypothesize> GAN/diffusion fingerprint detected: Image shows latent trajectory embedding anomaly β€” LATTE fingerprint pattern </hypothesize> <test> DCT analysis and spectral fingerprinting reveal AI generation traces. CIPHER/DiffusionPrint patter...
<observe> Analyzing frequency domain for generation artifacts. </observe> <hypothesize> GAN/diffusion fingerprint detected: Image shows latent trajectory embedding anomaly β€” LATTE fingerprint pattern </hypothesize> <test> DCT analysis and spectral fingerprinting reveal AI generation traces. CIPHER/DiffusionPrint patter...
1
CONTRADICTION
0.81
[ 140, 94, 445, 360 ]
gan_fingerprint
243
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00873
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "right", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": ["background"]}, "per...
Semantic Manifest: Objects: person, background Lighting: right, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=['background'] Perspective: left vanishing point, camera eye-level Temporal: outdoor, daytime
<observe> Primary light source: right. Shadow direction: left. Intensity: harsh. </observe> <hypothesize> The lighting configuration is physically consistent. right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: right β†’ left. This follows Lambert's law. No physical violations de...
<observe> Primary light source: right. Shadow direction: left. Intensity: harsh. </observe> <hypothesize> The lighting configuration is physically consistent. right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: right β†’ left. This follows Lambert's law. No physical violations de...
1
CONSISTENT
0.95
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01747
deepfake
{"objects": [{"name": "person", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": "outdoor_props"}...
Semantic Manifest: Objects: person, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=outdoor_props Perspective: center vanishing point, camera eye-level Temporal: w, i, n, t, e, r
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows season_mismatch β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.87 Region: [81, 73, 429, 480] </...
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows season_mismatch β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.87 Region: [81, 73, 429, 480] </...
1
CONTRADICTION
0.87
[ 81, 73, 429, 480 ]
environment
495
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01433
deepfake
{"objects": [{"name": "teeth", "position": "right", "occludes": []}, {"name": "object", "position": "left", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom"], "intensity": "overcast"}, "depth": {"foreground": ["person"], "midground": ["object"], "background": []}, "perspective...
Semantic Manifest: Objects: teeth, object Lighting: overhead, shadows: ['bottom'], intensity: overcast Depth: foreground=['person'], midground=['object'], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, daytime
<observe> Analyzing teeth anatomical structure. </observe> <hypothesize> Anatomical violation detected: Mouth region shows unnatural lip_texture pattern </hypothesize> <test> The teeth shows characteristics typical of AI-generated content. Distortion-5K pattern confirmed. </test> <verdict> CONTRADICTION β€” confidence 0....
<observe> Analyzing teeth anatomical structure. </observe> <hypothesize> Anatomical violation detected: Mouth region shows unnatural lip_texture pattern </hypothesize> <test> The teeth shows characteristics typical of AI-generated content. Distortion-5K pattern confirmed. </test> <verdict> CONTRADICTION β€” confidence 0....
1
CONTRADICTION
0.86
[ 136, 77, 593, 406 ]
anatomical
298
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01726
deepfake
{"objects": [{"name": "person", "position": "center", "occludes": []}, {"name": "background", "position": "background", "occludes": []}], "lighting": {"primary_source": "right", "shadow_directions": ["left"], "intensity": "harsh"}, "depth": {"foreground": ["person"], "midground": [], "background": "ceiling"}, "perspect...
Semantic Manifest: Objects: person, background Lighting: right, shadows: ['left'], intensity: harsh Depth: foreground=['person'], midground=[], background=ceiling Perspective: left vanishing point, camera eye-level Temporal: i, n, d, o, o, r
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows season_mismatch β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [155, 155, 477, 413] ...
<observe> Analyzing scene for environment inconsistencies. </observe> <hypothesize> Pattern violation: Scene shows season_mismatch β€” context impossibility </hypothesize> <test> Physical/logical inconsistency confirmed in environment domain. </test> <verdict> CONTRADICTION β€” confidence 0.86 Region: [155, 155, 477, 413] ...
1
CONTRADICTION
0.86
[ 155, 155, 477, 413 ]
environment
490
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01992
deepfake
{"objects": [{"name": "hands", "position": "center", "occludes": []}], "lighting": {"primary_source": "overhead", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "high"}, "tem...
Semantic Manifest: Objects: hands Lighting: overhead, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera high Temporal: indoor, natural_light
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 22: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
<observe> Analyzing scene for composite inconsistencies. </observe> <hypothesize> Pattern violation: Composite pattern 22: Multiple physical violations across lighting, anatomy, and perspective </hypothesize> <test> Physical/logical inconsistency confirmed in composite domain. </test> <verdict> CONTRADICTION β€” confiden...
1
CONTRADICTION
0.9
[ 85, 101, 447, 397 ]
composite
552
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00176
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.92
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
clean_00102
clean
{"objects": [{"name": "person", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-right", "shadow_directions": ["bottom-left"], "intensity": "soft"}, "depth": {"foreground": ["person"], "midground": ["floor"], "background": []}, "perspective": {"vanishing_point": "right", "camera_height": "hig...
Semantic Manifest: Objects: person Lighting: top-right, shadows: ['bottom-left'], intensity: soft Depth: foreground=['person'], midground=['floor'], background=[] Perspective: right vanishing point, camera high Temporal: outdoor, evening
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
<observe> Primary light source: top-right. Shadow direction: bottom-left. Intensity: soft. </observe> <hypothesize> The lighting configuration is physically consistent. top-right light casts shadows in the expected direction. </hypothesize> <test> Verifying physics: top-right β†’ bottom-left. This follows Lambert's law. ...
1
CONSISTENT
0.9
[ 100, 100, 500, 400 ]
none
0
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
fake_01493
deepfake
{"objects": [{"name": "background", "position": "center", "occludes": []}], "lighting": {"primary_source": "top-left", "shadow_directions": ["bottom-right"], "intensity": "soft"}, "depth": {"foreground": ["face"], "midground": [], "background": []}, "perspective": {"vanishing_point": "center", "camera_height": "eye-lev...
Semantic Manifest: Objects: background Lighting: top-left, shadows: ['bottom-right'], intensity: soft Depth: foreground=['face'], midground=[], background=[] Perspective: center vanishing point, camera eye-level Temporal: indoor, natural_light
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 3 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.83 Regio...
<observe> Analyzing scene for frequency inconsistencies. </observe> <hypothesize> Pattern violation: Region shows DCT coefficient anomaly pattern 3 β€” spectral fingerprint violation </hypothesize> <test> Physical/logical inconsistency confirmed in frequency domain. </test> <verdict> CONTRADICTION β€” confidence 0.83 Regio...
1
CONTRADICTION
0.83
[ 168, 190, 418, 374 ]
frequency
403
You are the Inquisitor β€” an adversarial deepfake detection agent. Analyze scene manifests for physical inconsistencies using 500+ modern deepfake patterns. PATTERN CATEGORIES: - Lighting & Shadow (1-100): Shadow direction violations, light source impossibilities - Specular Reflection (101-170): Specular-diffuse ratio ...
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