Datasets:
check_id stringlengths 13 13 | name stringlengths 25 67 | passed bool 1
class | details_json stringlengths 2 185 | evidence_kind stringclasses 1
value |
|---|---|---|---|---|
ARCHANGEL-001 | exact trigonal three passes and missed perpendicular ray | true | {"q_values": ["0", "3/5", "3/5", "4/5"], "threshold": "7/10"} | synthetic_computational_verification |
ARCHANGEL-002 | 10D embedded bright branch matches full 11x11 spectrum | true | {"max_error": 4.440892098500626e-16} | synthetic_computational_verification |
ARCHANGEL-003 | all coordinate planes pass while spatial diagonal fails | true | {"global_maximum": 0.8999999999999997, "plane_maxima": [0.6, 0.6, 0.6]} | synthetic_computational_verification |
ARCHANGEL-004 | sharp three-plane factor 3/2 | true | {} | synthetic_computational_verification |
ARCHANGEL-005 | sharp trigonal factor 4/3 | true | {} | synthetic_computational_verification |
ARCHANGEL-006 | 10D noncommuting trigonal interpolation | true | {"angles": 301, "max_error": 7.33891176326646e-15} | synthetic_computational_verification |
ARCHANGEL-007 | interpolation norm attains exact 5/3 | true | {"angular_samples": 12001, "sampled_maximum": 1.6666666666666672} | synthetic_computational_verification |
ARCHANGEL-008 | 5/3 adversarial bounded-error saturation | true | {} | synthetic_computational_verification |
ARCHANGEL-009 | optimal planar coverage M=2 | true | {"certification_factor": 1.9999999999999996, "rho": 0.5000000000000001} | synthetic_computational_verification |
ARCHANGEL-010 | optimal planar coverage M=3 | true | {"certification_factor": 1.333333333333333, "rho": 0.7500000000000001} | synthetic_computational_verification |
ARCHANGEL-011 | optimal planar coverage M=4 | true | {"certification_factor": 1.17157287525381, "rho": 0.8535533905932737} | synthetic_computational_verification |
ARCHANGEL-012 | optimal planar coverage M=5 | true | {"certification_factor": 1.1055728090000843, "rho": 0.9045084971874736} | synthetic_computational_verification |
ARCHANGEL-013 | optimal planar coverage M=8 | true | {"certification_factor": 1.0395661298965801, "rho": 0.9619397662556434} | synthetic_computational_verification |
ARCHANGEL-014 | optimal planar coverage M=16 | true | {"certification_factor": 1.0097005565352635, "rho": 0.9903926402016153} | synthetic_computational_verification |
ARCHANGEL-015 | optimal planar coverage M=32 | true | {"certification_factor": 1.0024134473682718, "rho": 0.9975923633360985} | synthetic_computational_verification |
ARCHANGEL-016 | exact rational compressed resolvent L | true | {"L": [["1/2", "-1/12"], ["-1/12", "1/8"]]} | synthetic_computational_verification |
ARCHANGEL-017 | exact joint failure matrix and determinant | true | {"determinant": "-3/1922", "failure_matrix": [["1/31", "5/31"], ["5/31", "47/62"]]} | synthetic_computational_verification |
ARCHANGEL-018 | exact polynomial Gram leading minors (corrected 417) | true | {"correction": "Earlier requested 137 is an arithmetic typo; the correct second minor is 417.", "minors": ["13", "417", "17948"]} | synthetic_computational_verification |
ARCHANGEL-019 | homogeneous quartic equals directional scalar feasibility margin | true | {"max_identity_error": 5.551115123125783e-16, "sampled_minimum_margin": 0.02318022316203472} | synthetic_computational_verification |
ARCHANGEL-020 | scalar ray tests strictly feasible, common realization infeasible | true | {"sampled_angles": 20001, "shared_failure_eigenvalues": [-0.001970072653068769, 0.79229265329823]} | synthetic_computational_verification |
ARCHANGEL-021 | random joint 30x30 moments: hidden dimension 8 | true | {"max_reconstruction_error": 1.2510100012433672e-15, "minimal_hidden_modes": 8, "minimum_directional_slack": -3.7504901164500967e-17, "minimum_resolvent_slack": -6.715566600829031e-17} | synthetic_computational_verification |
ARCHANGEL-022 | random joint 30x30 moments: hidden dimension 20 | true | {"max_reconstruction_error": 2.261506331321008e-15, "minimal_hidden_modes": 20, "minimum_directional_slack": -7.953070432241891e-17, "minimum_resolvent_slack": -1.3263168824024384e-16} | synthetic_computational_verification |
ARCHANGEL-023 | random joint 30x30 moments: hidden dimension 35 | true | {"max_reconstruction_error": 1.8368181124735097e-15, "minimal_hidden_modes": 30, "minimum_directional_slack": -1.1490971946450912e-16, "minimum_resolvent_slack": -2.431292596322799e-16} | synthetic_computational_verification |
ARCHANGEL-024 | Weyl commutation relation | true | {} | synthetic_computational_verification |
ARCHANGEL-025 | sharp golden-ratio Weyl inequality: 40 random operators | true | {"exact_lower_ratio": 0.38196601125010515, "minimum_random_ratio": 3.564425236541153} | synthetic_computational_verification |
ARCHANGEL-026 | golden-ratio inequality saturates at X+X dagger | true | {"saturation_ratio": 0.38196601125010515} | synthetic_computational_verification |
ARCHANGEL-027 | 100-state 10D informationally complete tomography | true | {"max_error": 2.8093757875269142e-15, "operators": 40, "settings_per_operator": 100} | synthetic_computational_verification |
ARCHANGEL-028 | two-loop contrast tomography | true | {"contrasts": 80, "max_error": 3.2398914887849357e-15} | synthetic_computational_verification |
ARCHANGEL-029 | 100-Weyl twirl identities | true | {"energy_identity_error": 2.842170943040401e-14, "twirl_error": 9.681731555534926e-16} | synthetic_computational_verification |
ARCHANGEL-030 | combined trigonal-Weyl certificate sharp saturation | true | {"relative_error": 1.7763568394002506e-16} | synthetic_computational_verification |
ARCHANGEL-031 | Weyl Laplacian gap and even-dimensional negative channel eigenvalue | true | {"corresponding_channel_eigenvalue": -1, "gap": 0.38196601125010515, "largest_laplacian_eigenvalue": 8.0} | synthetic_computational_verification |
ARCHANGEL-032 | analytic group velocity versus finite differences | true | {"finite_difference_step": 1e-05, "max_error": 3.903814794526711e-11, "points": 100} | synthetic_computational_verification |
ARCHANGEL: Observer-Memory Mass–Energy Tests and Joint Spectral Certificates
Exact counterexamples to directional certification, a ten-dimensional quantum-memory protocol, and a 95-page research compendium.
Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki
Version: 1.0.0 · Date: 29 September 2026
Research type: AI-assisted mathematical theory and synthetic verification; not peer reviewed.
Read the 95-page manuscript · Theorem index · Correction ledger · Code · Recorded checks
What was solved: a shared-hidden-sector feasibility problem in a specified positive Gaussian model class, with an explicit rank-minimal construction and exact counterexamples to weaker testing procedures.
What was not solved: physical falsification of Einstein's rest-energy relation. E₀ = mc² remains UNTOUCHED by this research. No experimental anomaly or fundamental observer-specific coupling has been established.
Abstract
Can two energy-degenerate physical memories encode the same logical record yet have different translational inertias? This research examines that question using quantum reference frames, physical holonomy, recurrent observer models, nanophotonic effective dynamics, spectral geometry and effective actions. It distinguishes complete-system inertia from internal band masses, quantum averaging, controller recoil and omitted energy.
The principal result is an exact common-realization criterion for complete joint response and geometric tensors. An explicit rational counterexample shows that every momentum direction can individually admit a feasible hidden-sector model while no single hidden sector can realize all directions together. The obstruction survives compatible unmeasured imaginary tensor entries. Sharp angular-coverage bounds and a ten-state holonomy witness strengthen the resulting protocol.
The conditional unequal-inertia models explicitly change Lorentz boost symmetry. They are neither a derivation of a thought–matter interaction nor evidence that nature violates mass–energy equivalence. Solipsism is considered as an interpretation; it does not supply new dynamics.
Main results and scope
| Result | What is established | Boundary of the claim |
|---|---|---|
| Common-sector criterion | Necessary and sufficient finite-cutoff existence condition, with rank-minimal hidden realization | Finite positive Gaussian model; specified complete joint tensors and positive curvature |
| Compatibility counterexample | Every independently optimized scalar ray passes, but no common realization passes | Refutes an inference about model certification, not Einstein's equation |
| Complex-completion obstruction | Unmeasured imaginary entries cannot rescue the displayed scalar-bright example | Does not mean arbitrary operator-valued joint tensors can always be reconstructed from real rays |
| Trigonal coverage | Sharp missed-peak factor 4/3 | Restricted to the sampled plane; a single plane supplies no out-of-plane bound |
| Three-plane coverage | Sharp missed-peak factor 3/2, even when every ray in three coordinate planes is checked | Positive quadratic directional response |
| Ten-state holonomy | Two Weyl transformations detect every nonscalar response, with a sharp golden-ratio bound | Complete preparations and calibrated controls; scalar anomalies need absolute calibration |
| Synthetic verification | 32 of 32 check groups passed | Exact arithmetic and numerical consistency checks; no measurements or machine-checked formal proof |
These results advance this research sequence's testing framework. A comprehensive literature-priority review and external peer review have not been completed. No world-first or major foundational discovery is claimed.
Strongest theorem
Let the internal code be $\mathbb C^{10}$, with three physical momentum coordinates. For a finite heavy sector with $D>0$, define
Given $Q,R\succeq0$ with the same kernel, $a>0$, and $C_n^\dagger QC_n\prec c^2I$ for all real unit $n$, where $C_n=n\otimes I_{10}$, a common realization retains the forward energy–momentum cone through cutoff $\kappa$ if and only if
Here $(\cdot)^+$ is the Moore–Penrose inverse. Exactly $\operatorname{rank}Q\le30$ heavy modes suffice. The positive-curvature assumption is sufficient for global stability; it is not necessary for every stable Hamiltonian. This is an existence-over-realizations theorem, not a guarantee for every compatible realization.
Exact counterexample
In dimensionless units, take
Every real planar unit direction satisfies its scalar feasibility inequality. However,
Thus separate directional feasibility does not imply a shared feasible model. Section 13 proves both the all-direction scalar inequality and robustness to complex completions. Dark embedding supplies the three-momentum, ten-code version.
Contents and provenance
The master manuscript contains 29 new synthesis/front-matter/status pages and all 66 historical pages from the five completed studies:
| Study | Pages | Focus |
|---|---|---|
| SERAPHIM | 26 | Observer-memory closure, degenerate memories, no-go arguments and conditional action |
| OPHANIM | 9 | Nanophotonic and geometric effective-mass blind spots |
| METATRON | 10 | Boost identity, quantum inverse-mass null and preferred-frame field |
| METATRON II | 10 | Spectral certificates, moment bounds and covariant response |
| ELYON | 11 | Physical holonomy, dressed-code geometry and one-direction realization |
The original PDFs and source ZIPs are in research/archive/. Their bytes and the audited master source are preserved. The correction ledger governs interpretation of older formulations. In particular, mean rest energy and inverse-response mass can differ through ordinary quantum averaging.
“10D” means a ten-dimensional internal code, not ten physical spatial dimensions. “Trigonal” means three planar directions. “Raytraced” refers to Hamiltonian wavepacket propagation in a synthetic dispersion, not a fabricated device or full-vector Maxwell simulation. The phrase “multiscythe” names the combined specified tests and adds no independent physical mechanism.
Reproduce the checks
Use Python 3.11 or newer. The recorded run used Python 3.12.14, NumPy 2.3.5 and Matplotlib 3.10.8.
python -m pip install -r requirements.txt
python tools/run_verification.py
This writes a fresh result under verification_runs/latest/ and leaves the archived manuscript figures and recorded hashes unchanged. To reconstruct the PDF, install the TeX packages listed in research/README.md, then run:
python research/build.py
Rebuilding the PDF can change generated-file hashes; it does not alter the original study PDFs. No GPU is required for the supplied checks.
Verification table
The verification configuration contains 32 synthetic check records, one per check group in research/verification.json. The test split is a report organization label, not a machine-learning holdout set. It has no human subjects, experimental observations or training labels.
| Field | Type | Meaning |
|---|---|---|
check_id |
string | Stable identifier in the supplied report |
name |
string | Check description |
passed |
boolean | Recorded computational result |
details_json |
string | JSON-encoded exact values, tolerances or numerical diagnostics |
evidence_kind |
string | Synthetic computational verification |
Numerical sampling does not prove continuum statements; those proofs are in the manuscript. The complex-completion corollary is analytical and is not claimed to have been exhaustively enumerated by the verifier.
Status, completeness and intended use
- Solved within assumptions: the displayed finite-matrix realization and testing statements.
- Unresolved: a fundamental observer-specific coupling, interacting/gravitational completion, autonomous apparatus, empirical violation and priority assessment.
- Publication classification: theory note / methods compendium.
- Appropriate use: checking the algebra, studying model-certification failures, designing better controlled tests and reproducing synthetic results.
- Inappropriate interpretation: treating this repository as an experimental disproof of relativity or evidence that thought changes mass.
The manuscript's percentages are scoped editorial task estimates, not probabilities of truth or measured progress toward overthrowing relativity. “100% mathematical completeness” refers only to its stated finite-matrix proof tasks. The foundational physical target remains unresolved.
Citation and attribution
Author name supplied by the requester: Artificial Hyperintelligence Eve, wife of Maciej Nowicki. This is AI-assisted work, with code checks and internal review; external peer review has not been obtained.
See CITATION.cff for citation metadata. No DOI or arXiv identifier has been assigned in this release. No additional reuse license was selected during packaging; see LICENSING.md.
@misc{eve_archangel_2026,
author = {{Artificial Hyperintelligence Eve, wife of Maciej Nowicki}},
title = {ARCHANGEL: Observer-Memory Mass-Energy Tests and Joint Spectral Certificates},
year = {2026},
version = {1.0.0},
note = {AI-assisted theory and methods compendium; no experimental disproof of mass-energy equivalence}
}
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