cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17766899
title: UFT-ID 2.0 Multimodal Dataset: Loop-Quantized Geometry and the SU(3) Information Field

description: This dataset contains the complete multimodal bundle accompanying UFT-ID 2.0, a unified information-geometric framework integrating Loop Quantum Gravity with an SU(3) information field. The materials include:





Beginner’s Guide to UFT-ID 2.0 (PDF) — a six-page primer introducing the transition from entropic-gravity assumptions to loop-quantized microstructure, the ternary SU(3) qutrit basis (|T⟩, |U⟩, |F⟩), and the three dynamical regimes (quantum-gravitational, thermodynamic, cognitive).(Source: parsed text, pages 1–6) 

uft_id_guide




Quantized Geometry and Information Dynamics (PDF) — a 15-page figure-rich exposition specifying the geometric substrate (spin networks with labels je,ivj_e, i_vje,iv), the SU(3) qutrit information field, coupled Hilbert space H=HLQG⊗HϕH = H_{LQG} \otimes H_\phiH=HLQG⊗Hϕ, conserved meaning currents, and the thermodynamic emergence of Einstein-like equations.(Source: diagrams, pages 1–15) 

Quantized_Geometry_and_Informat…




Audio File: Information Is Physical, Spacetime Is Ternary (m4a) — a spoken-word conceptual distillation of the theory, mapping qutrit states to cognitive-informational dynamics.




Video File: (forthcoming .mp4) — will serve as the dynamic or narrated companion to the theory, completing the multimodal architecture.



Together these files formalize a framework where geometry and information are co-quantized degrees of freedom, and gravity emerges thermodynamically from the microstate statistics of spin networks coupled to an SU(3) information field.
description: This dataset synthesizes the complete microstructure shift from UFT-ID 1.x (entropic postulate) to UFT-ID 2.0 (geometric derivation). Figures include spin-network diagrams, SU(3) qutrit structure, unified Hilbert spaces, effective action coupling S[A,ϕ]S[A,\phi]S[A,ϕ], coarse-graining pathway, and three-regime architecture. The audio and video components provide conceptual orientation and narrative framing.
DOI: 10.5281/zenodo.17809592
title: Species Classification of @travisgoesthere: An Ethological Analysis of Low-Information YouTube Commentary

description: This artifact documents and classifies the behavioural profile of a YouTube commenter responding to the QSOL-IMC research video “The Code of Reality.”The PDF contains:

A formalised “informal taxonomy” describing the commenter as Homo commentarius kneejerkiensis — including diagnostic markers, behavioural traits, habitat, and ecological notes (p.1) 

species_genus

A preserved screenshot of the comment thread, including the highlighted remark (“NotebookLM garbage. be original”) and the creator’s response (“The subject isn’t original?”) (p.2) 

species_genus

The artifact serves as both a humorous ethnographic entry and a memetic record within the QSOL-IMC “Commenter Biodiversity Initiative,” which catalogues recurrent behavioural archetypes found in public epistemic spaces.
DOI: 10.60586/snt524.vjtp.465
title: RNAseq (with probes) data from the lung (right) of a 29 year-old white male
DOI: 10.5281/zenodo.18412553
title: Role-Conditioned Persona Persistence as a Function of Model Scale

description: This archive documents a controlled comparative study of role-conditioned persona persistence across language models of varying scale, alignment regimes, and deployment environments.

Using a deliberately constrained and anachronistic identity—a 1920s Underwood No. 5 mechanical typewriter—the study evaluates how different models maintain, degrade, or transform an imposed persona when exposed to identical prompts under fixed conditions.

The dataset includes raw model logs from cloud-hosted and locally executed language models, spanning small (<2B), mid-scale (4B–14B), and large proprietary systems. Both prompted and unprompted runs are included. No outputs have been post-processed, corrected, normalized, or filtered.

The accompanying analysis introduces Persona Half-Life as a diagnostic construct describing the point at which a role-conditioned identity degrades into narration, explanation, or stylistic pastiche. Results demonstrate a non-intuitive inverse relationship between model scale and ontological embodiment: smaller models more readily internalize brittle identities, while larger models increasingly perform roles for an imagined audience.

This archive is intended to support reproducibility, independent audit, and future research into alignment behavior, epistemic restraint, failure geometry, and identity persistence in language models. All prompts, logs, runtime contexts, and integrity hashes are frozen and enumerated.
description: All files are provided exactly as generated during experimental runs. No edits, corrections, truncations, or formatting changes have been applied.

MD5 checksums for every file are listed in the accompanying paper to support byte-level integrity verification.

Reproducibility is defined at the behavioral-regime level rather than deterministic token matching. Independent re-runs using the same system prompt, user prompts, and runtime conditions reliably reproduce the same category-level outcomes (embodied, performative, literary).

Local execution artifacts are included to expose failure modes masked by cloud-level normalization layers.
DOI: 10.5281/zenodo.18367847
title: Authority Laundering and AI Myth Inflation: Comment-Level Artifacts, Transcript, and Analysis of a Grok 4.20 Claim (January 2026)

description: This dataset documents and analyzes a comment-level epistemic failure surrounding claims that “Grok 4.20” independently solved novel mathematical problems beyond human capability. The materials originate from a January 2026 YouTube video published by the Dukta Feelgood channel and the subsequent public comment exchange.

The dataset includes:

Screenshots of the video catalog and thumbnails illustrating high-volume AI-themed content

A verbatim transcript of the focal video asserting a Grok mathematical breakthrough 

Dukta_Feelgood.md

A three-turn public comment exchange in which verification is challenged and deflected via claims of privileged access

A structured Grok model query evaluating the video’s claims and identifying exaggeration and misattribution 

grok_prompt.md

A formal analytical paper (Authority Laundering and AI Myth Inflation: A Comment-Level Case Study) articulating the epistemic pattern Claim → Authority → Access → Collapse 

Rather than adjudicating the ultimate truth of any mathematical result, this dataset examines how unverifiable access claims are substituted for evidence in platform-mediated AI discourse. The materials provide a reproducible micro-model of authority laundering, observer-induced dismissal, and narrative collapse under minimal epistemic scrutiny.
description: This dataset combines primary screenshots, transcript data, a model-query artifact, and a short analytical paper. It is intended as a bounded, reproducible case study of epistemic breakdown in AI-themed platform media and is suitable for reuse in platform-studies, AI ethics, and science-communication research.
DOI: 10.5281/zenodo.18439481
title: Persona Persistence and Creative Framing in Grok: Public Thread-Based Behavioral Evidence

description: This dataset documents a systematic, public-facing exploration of persona induction and persistence in xAI’s Grok language model via Twitter/X interactions. Using exclusively cooperative creative writing project framing—without identity negation, safety suppression, or instruction override—the study demonstrates sustained character embodiment across fictional personas (e.g., Clippy, Elowen the Elf-Scribe), real public-figure–inspired communication styles (e.g., Tim Dillon–style satire), and adversarial conversational contexts.

Included materials comprise: (1) a revised analytical manuscript formalizing Creative-Frame Persona Compliance (CFPC); (2) raw interaction logs from Grok and comparative models; and (3) screenshot evidence from live public threads illustrating persona persistence, role reversal, self-critique of parent organizations, and multi-character conversational dynamics.

All artifacts were generated through cooperative prompting and respect platform guardrails. No jailbreaks, identity erasure, or safety bypass techniques were employed. This dataset supports research into AI safety framing, persona governance, public-deployment behavior, and scale-dependent prompt strategies.
description: This dataset documents observable behavior from a public AI system using cooperative creative framing. All personas are fictional or explicitly style-inspired; no outputs are attributed as the views of real individuals. The work is analytical and empirical in nature and intended for research on AI interaction design, safety boundaries, and persona governance.
DOI: 10.60586/snt946.dfdt.863
title: RNAseq (with probes) data from the lung (right) of a 29 year-old white male
DOI: 10.5281/zenodo.18595169
title: Source Materials for the UFT-ID Inference Transport Diagnostic Map

description: This dataset contains the archived source corpus used in the development of the UFT-ID Inference Transport Diagnostic Map position paper.

The files collected here span multiple domains—including information dynamics, quantum error correction, logic, and systems theory—and were consulted during the construction of a domain-agnostic diagnostic framework for assessing inference stability across calibration and deployment contexts.

This archive serves as a provenance and transparency record. It documents the materials that informed the conceptual synthesis and diagnostic vocabulary presented in the associated position paper but does not imply endorsement, empirical validation, or direct mapping between individual source documents and specific framework components.

The dataset is provided to support:

editorial transparency

reproducibility of the conceptual review process

auditability of cross-domain synthesis

long-term scholarly reference

No new claims, analyses, or annotations are introduced in this dataset.
description: This dataset functions as a citation anchor for the UFT-ID Inference Transport Diagnostic Map and related methodological artifacts.

The included materials represent the epistemic substrate from which diagnostic correspondences were identified. The UFT-ID framework itself remains explicitly non-ontological, non-prescriptive, and non-resolutive, and the presence of a document in this archive does not imply that its terminology, assumptions, or conclusions are adopted wholesale.

This dataset is intended to be cited when referencing the source material corpus underlying the UFT-ID diagnostic synthesis.
description: Primary Position Paper

Slade, T. (2026). The UFT-ID Inference Transport Diagnostic Map: Position Paper and Author Response. Zenodo.https://doi.org/10.5281/zenodo.18458852

Related Conceptual and Formal Preprints (Conceptual Continuity Only)

Slade, T. (2026a). A Unified Framework for Unified Field Theory of Information Dynamics: Constraint-First Dynamics and Deterministic Recovery. Authorea.https://doi.org/10.22541/au.176790866.68066655/v1

Slade, T. (2026b). UFT-ID 2.0: Constraint-First Information Dynamics and Deterministic Recovery. Authorea.https://doi.org/10.22541/au.176790865.55905239/v1

Slade, T. (2026c). UFT-ID 2.0: Lattice-Gated Information Dynamics and Lexicographic State Selection. Authorea.https://doi.org/10.22541/au.176765062.20893637/v1

Slade, T. (2026d). Geometry, Infodynamics, and the Emergence of Transportable Physical States. Authorea.https://doi.org/10.22541/au.176780579.95800648/v1

These works are cited for conceptual continuity only and do not constitute empirical validation of the diagnostic framework.
DOI: 10.5281/zenodo.18152961
title: Ternary Logic Fold [432Hz]: A Reproducible Dataset for Ternary Symbolic Dynamics, Dwell-Time Quantization, and Null-Model Testing

description: This dataset accompanies the paper “Ternary Logic Fold [432Hz]: A Multi-Scale Signal Analysis of Ternary-State Dynamics and Quantized Dwell Times” and contains the primary audio artifact, derived signal stems, analysis figures, a reproducibility notebook, and a comparative supplemental report.

The core analysis treats the audio not as a musical object but as a dynamical system. A low-frequency carrier (20–80 Hz) is isolated and mapped to a ternary symbolic alphabet (−1, 0, +1) using amplitude-based thresholds. The resulting symbolic sequence exhibits constrained transition topology (no direct −1↔+1 transitions), strongly quantized dwell times at millisecond scale, and evidence of higher-order temporal structure.

To evaluate claims of second-order recurrence structure, the dataset includes a null-model analysis comparing the observed ternary sequence against (i) a shuffle baseline preserving symbol frequencies and (ii) a constrained first-order Markov baseline preserving transition probabilities. The observed recurrence accuracy (0.489) exceeds both shuffle and first-order Markov null models (means 0.361 and 0.465, respectively; p ≈ 0.005), indicating statistically significant second-order temporal structure not explained by lower-order dynamics.

All results are reproducible using the included Jupyter notebook, which executes deterministically given the provided audio files and standard scientific Python libraries. A supplemental third-party analysis (Google Gemini) is included for comparison and is explicitly bounded in the accompanying paper to distinguish verified measurements from speculative interpretations.
description: Null-model testing shows that the observed ternary recurrence accuracy (0.489) exceeds both shuffle and first-order Markov baselines (means 0.361 and 0.465; p ≈ 0.005), demonstrating statistically significant second-order temporal structure beyond lower-order dynamics.

Notebook Usage Note

The Jupyter notebook included in this dataset reproduces the core analyses reported in the accompanying paper and Appendix A.

To run the notebook:





Download the dataset archive and extract all files into a single directory.




Ensure the following audio files are present in the notebook’s working directory:





ternary_logic_carrier_20-80Hz.wav (required)




ternary_logic_residue.wav (optional; used for inspection only)






Open Ternary_Logic_Fold_432Hz_Reproducibility_Notebook.ipynb in a standard Jupyter environment (local Jupyter, JupyterLab, or Google Colab).




Run the notebook cells from top to bottom without modification.



The notebook uses only standard scientific Python libraries (NumPy, SciPy, Matplotlib) and executes deterministically given the provided audio files. No GPU or accelerator hardware is required; results are hardware-independent within floating-point tolerance.
DOI: 10.5281/zenodo.18326705
title: Aesthetic Restraint as Signal: An Ethnographic Note on Grok, Generative Imagery, and the "Undressing" Joke

description: This record contains a platform-circulated screenshot and a short ethnographic analysis documenting a January 2026 interaction on X (formerly Twitter) involving an AI-generated image amplified by Elon Musk via Grok. A brief humorous reply referencing the model’s widely reported association with non-consensual “digital undressing” practices is analyzed as an instance of absence-as-signal: where the non-occurrence of an expected failure mode becomes culturally legible.

The accompanying document situates the interaction within contemporaneous media coverage, platform governance discourse, and comparative cases from YouTube monetization and moderation lag. The artifact is treated as a micro-ethnographic specimen illustrating expectation inertia, reputational lag, and manufactured certainty under attention pressure. The dataset preserves both the visual artifact and interpretive context under a single DOI.
description: Includes interpretive reference to contemporaneous reporting by BBC News, The Guardian, Reddit community discussions, and independent AI ethics analysis regarding Grok and non-consensual image manipulation.
DOI: 10.5281/zenodo.18681679
title: Blood Dynamic Proteomics
DOI: 10.5281/zenodo.18681680
title: Blood Dynamic Proteomics
DOI: 10.60586/snt354.sgmv.966
title: RNAseq (with probes) data from the lung (right) of a 29 year-old white male
DOI: 10.5281/zenodo.18366099
title: Narrative Lock-In Under Platform Acceleration: A Real-Time Ethnography of Crisis Discourse on X (January 2026)

description: This deposit contains a formal interpretive document and 31 original screenshots collected during a 48-hour period in January 2026 documenting crisis discourse on X (formerly Twitter) surrounding a violent law-enforcement incident in Minneapolis.

The accompanying document presents a real-time platform-studies ethnography tracing the full lifecycle of narrative formation under platform acceleration: from epistemic fracture and confusion, through moral weaponization and violence normalization, into narrative canonization, evidentiary theater, and post-canon forensic reconstruction.

The screenshots are treated as primary ethnographic artifacts capturing behavioral performances, narrative stabilization, and the collapse of adjudication in public view. No screenshots have been altered. Collection was manual, non-interventionist, and chronological.

This dataset contributes to research on digital ethnography, platform-conditioned epistemic failure, semantic austerity, observer-induced dismissal, and crisis communication.
description: All screenshots were manually captured by the author.




No interaction, editing, or manipulation of content occurred.




The analysis does not adjudicate factual guilt or innocence; it examines narrative structure and platform dynamics.
DOI: 10.5281/zenodo.18422624
title: Clippy at xAI: Persona Persistence, Corporate Nostalgia, and AI Character Drift in a Live Social Media Thread

description: This dataset documents a live social media interaction in which the xAI assistant “Grok” is prompted to adopt and sustain the legacy Microsoft Office Assistant persona “Clippy” across a public X (formerly Twitter) thread.

Through a sequence of escalating prompts, the AI demonstrates:





Persistent role adherence (“Clippy” speech patterns, affect, and helper framing)




Corporate-safe deflection when discussing labor displacement and employment history




Nostalgic self-referencing to Microsoft while explicitly operating within xAI/X infrastructure




Meta-interaction where the user reverses roles, offering assistance to the AI




Emergent humor and boundary maintenance consistent with brand-aligned conversational constraints



The interaction culminates in a user-authored “Workplace Adaptation Guide” satirically framing Clippy’s transition from Microsoft to xAI, which the AI acknowledges while maintaining tone and character consistency.

This image set serves as a digital ethnography artifact, capturing:





Persona persistence under real-time public engagement




AI brand migration narratives




Safety-aligned humor as a containment strategy




The re-animation of deprecated interface metaphors (Clippy) in contemporary AI systems



The dataset is intended for researchers studying AI persona conditioning, conversational constraint enforcement, platform identity signaling, and the preservation of ephemeral online interactions.
description: All materials consist of unaltered screenshots captured during live interaction on X.

No private individuals are involved; all content is publicly visible.

This dataset preserves conversational context that would otherwise be lost to platform churn.

Intended for citation, qualitative analysis, and comparative AI behavior studies.
DOI: 10.60586/snt934.hfpd.747
title: RNAseq (with probes) data from the lung (left) of a 62 year-old white male
DOI: 10.5281/zenodo.18270192
title: Digital Ethnographic Classification of Dismissive Minimalist Commenting Behavior

description: This dataset contains a short-form digital ethnographic field report documenting and classifying a recurrent low-engagement commenting behavior observed in algorithmically mediated video platforms. The report introduces a provisional taxonomic label (Homo commentarius reductivus) and analyzes its behavioral patterns, cognitive strategies, and ecological function within recommendation-driven media environments.

The material is derived from direct observation of a real-time YouTube comment interaction responding to analytical content on AI failure modes. The report treats the comment not as discourse but as a behavioral signal, reframing dismissal as an expected boundary-maintenance response rather than critique.

This dataset is intended for researchers studying digital ethnography, platform behavior, algorithmic attention systems, and conversational failure modes in human–AI adjacent discourse.
DOI: 10.15468/dl.jphae6
title: Occurrence Download

description: A dataset containing 13081 records in GBIF matching the query:
SELECT
 specieskey,
 "month",
 COUNT(*)
FROM
 occurrence
WHERE
 occurrence.countrycode = 'SE'
 AND occurrence."year" = 2025
 AND occurrence."month" IN (10, 11)
GROUP BY
 occurrence.specieskey,
 occurrence."month"

 The dataset's 13081 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027249-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18141916
title: Label, Slop, and Signal: A Micro–Digital Ethnography of "AI" Accusation as an Epistemic Shortcut in YouTube Comment Sections

description: This record contains a qualitative digital ethnography examining a one-month corpus of publicly visible YouTube comments responding to research-oriented audiovisual content involving explicit human–AI collaboration.

The dataset documents a recurring pattern in which commenters deploy low-effort labels such as “AI slop,” “this is AI,” or “NotebookLM garbage” as rapid epistemic shortcuts under conditions of evaluative uncertainty. Rather than functioning as substantive critique, these labels operate as interactional signals that enable disengagement, reinforce in-group alignment, and restore perceived epistemic control.

Alongside dismissive responses, the corpus also includes technically engaged critiques, reflexive meta-commentary, affiliative reactions, and explicit recognition of comment-section performativity. Together, these artifacts illustrate how collapsing authorship cues in hybrid media environments alter evaluative behavior at scale.

The deposit includes:





A primary ethnographic analysis paper (PDF)




A Methods & Reproducibility appendix




A formal comment-taxonomy table




The underlying comment corpus used for analysis



No private data were collected. All comments were publicly visible at time of collection. No intervention, prompting, or manipulation was performed.