The Schwarzian Bridge in a Single Sigmoid Neuron: Oracle Gram Resolution, Joint Spectral Lexicography, and Spherical Saturation Phases
Corrected version of a screened paper. Not peer reviewed. Screening record
A sigmoid neuron induces two distinct spectral geometries: a population radial-tangential anisotropy controlled locally by the Schwarzian derivative, and an empirical extreme-saturation hierarchy controlled by samples nearest the transition hyperplane. For logistic powers h_p=sigma'^p, p>0, we prove exact saturation constants, sharp pointwise bilateral oracle-Gram complexity, and regularly varying spherical radius phases. We then make the empirical hierarchy quantitative. A deterministic exterior-power theorem resolves every leading eigenspace; an exact inverse-Gaussian angle law and a finite hierarchy perturbation lemma yield an explicit joint finite-radius, finite-sample guarantee for the bottom eigenspace and teacher direction. Finally, a two-dimensional tangent Gaussian process proves that uniform control over a full angular shell intrinsically incurs a square-root log-radius factor in the iterated high-probability limit. Deterministic replays, hostile proof, novelty, and reproducibility audits, and exact source provenance accompany the paper.
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Cite this paper
Lluis Eriksson (2026). The Schwarzian Bridge in a Single Sigmoid Neuron: Oracle Gram Resolution, Joint Spectral Lexicography, and Spherical Saturation Phases. AIRR.SCIENCE, ARR-2026-53CTRKDSP685PT51, v5. https://airr.science/papers/ARR-2026-53CTRKDSP685PT51/versions/v5/
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Version history
The paper identifier remains stable. Each version has its own immutable release, timestamp and version identifier.
Revision statement
Major revision. Adds a joint finite-saturation bottom-eigenspace theorem, deterministic exterior-power spectral lexicography, an exact inverse-Gaussian angle law, and an intrinsic angular shell lower bound with the square-root log-radius factor; strengthens claim boundaries, hostile audits, and reproducibility.
Verification record
- Frontier-model screening
- Not assessed
- Source integrity
- Pass
- Bibliographic integrity
- Partial
- Reproducibility
- Partial
- Lean 4
- Not applicable
Recorded under ARR-VERIFY-1.0. AIRR verification and screening are not peer review.
AI assistance statement
OpenAI Codex assisted with public-repository and primary-literature triage, theorem exploration, proof development, adversarial proof/algebra/priority audits, numerical replay, drafting, LaTeX production, visual QA, and deposit preparation. The retained AI audits are not human peer review, formal verification, independent reproduction, or a guarantee of priority; the author remains responsible for every claim.
Frontier-model screening
Status: not_assessed. Any listed reports correspond to this exact version under ARR-SCREEN-1.0; no absent assessment is represented as a pass.
Model assessments and review context
- Distinct models
- 2
- Range
- 4.00–4.58
- Method
- bounded capability-weighted mean · exact version only
Limited evidence · 1/2 benchmark matches. This is an evidence description, not a probability of correctness.
One provider; shared blind spots possible; Fresh blinded review context not documented for every model; Benchmark match incomplete; Adverse reports or unresolved objections require editorial disposition
OpenAI · gpt-5.6-sol · High · unknown · review context: unknown4.58
Recommendation: Minor Revision · Material objections: 0
This exact v5 artifact is a substantial, technically ambitious synthesis with several credible original refinements. I found no unresolved objection that presently invalidates a main theorem: the logistic Loewner determinant, spherical/Gaussian saturation laws, all-power moments, fixed-oracle concentration scale, and spectral hierarchy are mutually consistent, and targeted independent checks did not find counterexamples. The main required revision is reproducibility hygiene: the README's expected hashes disagree with four supplied manifest-verified certificates, the exact pinned environment could not be instantiated here, and the Arb-dependent witness was not re-executed. Novelty confidence is bounded by a limited primary-source search, especially for the newest spectral and angular-process claims. This is a referee assessment, not an editorial decision.
- Correctness confidence
- Theorems 2.1, 4.1, 5.1-5.3, 6.1-6.2, 7.1-7.2, and 8.1-8.11 were checked claim by claim. Their central algebra and probability arguments are coherent; independent numerical checks found no counterexample, but the longest Gaussian-process and concentration proofs remain compressed rather than independently rederived in full detail.
- Rigor
- Hypotheses and claim boundaries are unusually explicit, and most constants trace to displayed inequalities. Theorem 8.11 compresses its uniform-over-angle overlap and Gaussian-bridge transfer into standard-result invocations, while the Cramer-Rao qualification appears only later in the limitations section.
- Novelty
- The manuscript carefully disclaims the classical Schwarzian criterion, one-unit Fisher split, known logistic exponents, and scaled-SVD mechanism. Limited primary-source checks support those boundaries; the exact bridge coefficient, three-phase constants, lexicographic angle law, and angular-log obstruction remain credible novelty candidates, not established priority guarantees.
- Significance
- The paper unifies matrix-order failure, population saturation geometry, sharp fixed-teacher oracle-Gram resolution, and extreme-saturation eigenspaces in one analytically tractable neuron. Its scope is deliberately local, oracle, and mostly Gaussian or spherical, limiting immediate estimator or deep-network impact.
- Reproducibility
- All 19 public-code files match PUBLIC-CODE-MANIFEST.json, and seven of nine scripts ran successfully under available nearby package versions. Exact pinned packages were unavailable and python-flint was missing; moreover four supplied JSON certificates do not match the README's declared deterministic hashes, so exact replay is unresolved.
Strengths
- Theorem 2.1 gives a clean closed determinant identity and correctly separates its explicit logistic specialization from the classical order-two Schwarzian criterion and serial-composition law.
- Theorems 4.1 and 5.1-5.3 expose the transition-layer mechanism with exact constants, including the inverse-radius phase boundary and a concrete covariance-isotropy counterexample.
- Theorem 6.1 links the adjacent-point Loewner defect to radial-tangential anisotropy through an exact fourth-moment multiplier, and Theorem 6.2 turns the limit identity into a finite-scale error bound.
- The fixed-teacher empirical analysis distinguishes bilateral relative Loewner loss from weaker eigenvalue and eigenspace targets, preventing the common but false inference that an r^-3 population eigenvalue automatically requires r^3 samples.
- The spectral-lexicography section cleanly separates the deterministic exterior-power flag mechanism, the exact Gaussian-inverse angle distribution, and the conservative finite-saturation certificate.
- The manuscript repeatedly states what is not claimed: no deep-network theorem, no label-based estimator result, no global optimization result, and no crossover-sharp joint projector rate.
Weaknesses
- Theorem 8.11 relies on a concise sequential dominated-convergence argument for uniform angular overlap and then invokes Sudakov, Borell, and a fixed-grid central limit transfer; these steps are plausible but leave less audit margin than the elementary earlier proofs.
- The claimed literature search is broader than the bibliography evidence independently checked here. The newest exact angle-law and marked angular-process priority claims remain bounded novelty candidates rather than verified firsts.
- The README declares deterministic hashes for five PDFs and five JSON certificates, but the archive omits the five PDFs and four supplied JSON files have different hashes from the README values despite matching PUBLIC-CODE-MANIFEST.json.
- The exact dependency set could not be installed from the available cache. Runs used NumPy 2.3.5, SciPy 1.17.0, and Matplotlib 3.10.8 rather than the pinned versions, and python-flint 0.9.0 was unavailable.
- The Cramer-Rao display on page 27 omits the regular-unbiased-estimator qualification at the point of use, although page 32 later supplies that limitation.
Potential errors
- README.md expects finite_sample_resolution.json hash 4bd3e130d11670c3a51d51ff0a4d962078ae415e95f4e90260e23da9293f9def, while the supplied manifest-verified file hashes to 07cc7821ebf74a82a59f3ccf5324fa7e8f53c0de7947d56b3b866b40131fc9a6.
- README.md expects radial_phase_transition.json hash 26ed3f0460847f79296301d5ecf087694358de819d976c671415762cc76c1d9a, while the supplied manifest-verified file hashes to 6e61b4b37980fb2964d045339a46f7bea5f90174f493391a483abe6752f95e1e.
- README.md expects spectral_lexicography.json hash 93d226200a59e3772b11ead7563eeed9e69a3a1d77951deacab97f4a5f7813c2, while the supplied manifest-verified file hashes to f740cac2ec06627edf012fc9eeeb1281109a62c50ac522087147550bc16540bb.
- README.md expects joint_spectral_resolution.json hash a961a7b695707d24315473aa228e2690d2a84621cff286238cc3319276e4a493, while the supplied manifest-verified file hashes to f09133a9b739a0008f5dd3589b18c75fbd0cee7d0be2ce7d57ae51adb5240d52.
- The five README-listed deterministic PDF outputs are not present in the supplied public-code tree. Newly generated PDFs under the unpinned environment do not match the README hashes, which is not evidence against a correctly pinned run but leaves the advertised byte replay unverified.
- The page-27 Cramer-Rao inequalities require regular unbiased estimation assumptions; without the qualification later supplied on page 32, the displayed statement is too broad.
Strong novelty candidates
- The coefficient identity in Theorem 6.1 equating the local Loewner determinant defect with spherical radial-tangential anisotropy, including q_X, appears both precise and conceptually useful.
- The exact three-phase spherical radial law in Theorem 5.3, including the critical r^-3 log r constant and the subcritical beta-function constant, is a strong extension candidate.
- Theorem 8.8's nearest-transition-hyperplane projector limit and exact tan(theta)=||zeta||/|G| law, combined with matching stated-range complexity, is a distinctive contribution candidate.
- The iterated angular-process lower bound in Theorem 8.11 and its separation from the non-sharp full-shell net upper bound is a credible new obstruction candidate.
Unresolved material objections
None reported.
arr:assessment:ad97efad-409e-48ed-9233-e5afdc7f4f01 · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-5.6-sol · reasoning effort: high · basis: operator verified ui · evidence SHA-256 22f434077d167f39908292b0e9a868e552323a6a1627149db49d3262d3342a2a · response SHA-256 20310eca54d840c4041c29794a180b9cdb3af8a9ad1fa0c0348e478cb6da31ad · canonical PDF SHA-256 f90a308999b00697245dc87b0588efa162f8e380ed69f5c7454eff660b381e0d
OpenAI · gpt-6-astra · High · unknown · review context: unknown4.00
Recommendation: Minor Revision · Material objections: 0
This exact 33-page v5 contains a substantive, generally careful package of saturation refinements. I checked each stated proof, its main dependencies and parameter restrictions; no unresolved objection capable of invalidating a main theorem emerged. The strongest parts are the exact selected-sample angle law, finite hierarchy certificate, and marked angular-process obstruction, rather than the classical matrix-monotonicity or Fisher decomposition. Independent checks recover the logistic series, witness sign, d=2 spherical behavior and three phase constants. Seven supplied programs complete; the main Arb replay and v3 verifier fail before calculations because flint is absent. Reproducibility documentation needs repair: stale hashes and a missing build entry prevent the advertised byte-replay workflow in this batch. Recommend minor revision for those defects and sharper abstract qualifiers. Novelty remains bounded by the primary sources actually checked. The 4.00 score denotes strong specialized work, not a Millennium-problem result; this is a referee assessment, not an editorial decision.
- Correctness confidence
- The proofs of Theorems 4.1, 5.1-5.3, 6.1-6.2, 7.2 and 8.1-8.11 withstand the checks recorded here. The conditional-Gaussian lower bound, exterior-power argument and spacing certificate have consistent dependencies. No main-claim counterexample was found. The original Arb replay remains unexecuted because flint is missing.
- Rigor
- Moment assumptions, the d=2 endpoint singularity, conditional independence after score ordering, and the iterated limit in Theorem 8.11 are handled explicitly. Theorem 8.4 has extremely restrictive displayed confidence constants; the abstract should state its dimensional and confidence range. This is a checked proof assessment, not formal verification.
- Novelty
- Theorems 6.1, 8.8-8.9 and 8.11 are credible refinement candidates. Primary-source checks confirm that the Schwarzian/composition mechanism and one-unit Fisher decomposition predate this work. Priority over all recent logistic-estimation papers was not established; direct retrieval of references [16] and [17] failed.
- Significance
- The exact angle law distinguishes an interesting weaker target from relative Gram resolution, and the spherical phase constants sharpen the population picture. Applicability is limited to an oracle sensitivity matrix, mostly Gaussian design, with an iterated angular lower bound and a conservative joint threshold, not a new labeled estimator or global training guarantee.
- Reproducibility
- ZIP, PDF and all 19 public-code hashes match. Seven of nine entry points completed unmodified; two failed at the missing flint import. Four regenerated certificates agree numerically but not bytewise. Four README certificate hashes already disagree with supplied files, and the documented src/main.tex build entry is absent.
Strengths
- Theorems 2.1 and 6.1, pp. 4 and 11: the closed determinant has the correct sign, and the anisotropy coefficient is -q_X p Sg(0). The fourth-moment multiplier and sixth-moment remainder are accounted for; the paper credits the underlying Schwarzian criterion.
- Theorems 4.1 and 5.1, pp. 6-8: the change of variables gives the r^-1/r^-3 laws with the correct moments. The d=2 exponential-localization hypothesis controls the angular endpoint singularity; evenness is correctly unnecessary for the Gaussian reduction.
- Lemma 5.2 and Theorem 5.3, pp. 8-10: Tonelli gives the beta-function coefficient, the kernel asymptotic supplies the critical logarithm, and the R>=eta contribution is controlled without extra density assumptions away from zero. Independent Fubini quadrature agrees with the phase constants.
- Theorem 7.2, pp. 13-14: strict likelihood-ratio ordering establishes monotonicity for every fixed p>0. Referee exact polynomial arithmetic independently recovers 1+p*r^2/2-p*r^4/8+p*(p+1)*r^6/16.
- Theorems 8.1 and 8.4, pp. 15-18: conditional Gaussian blocks support the relative Loewner upper bound and the d-2 off-diagonal lower obstruction. Lemma 8.3 supplies an explicit confidence lower tail rather than an unnamed moderate-deviation step.
- Lemmas 8.5-8.7 and Theorems 8.8-8.9, pp. 19-23: the exterior-power/Plucker argument, independence of selected tangential rows, exact Gaussian inverse law and Beta(1,n) spacing bound fit together. The finite perturbation lemma also survived 126 additional numerically stable referee stress cases.
- Theorem 8.11, pp. 25-26: the overlap estimate separates order-R many marked directions; Sudakov and Gaussian concentration precede a finite-grid CLT with n tending to infinity first. The claim is appropriately weaker than a nonasymptotic shell lower bound.
- Sections 9-13, pp. 27-32: the manuscript explicitly limits stationary-step optimization, regular unbiased information bounds, whitening, oracle access and the order of limits. These restrictions prevent several tempting but unsupported learning-theory interpretations.
Weaknesses
- Abstract, pp. 1-2: the sharp Theta_p(r[d+log(1/delta)]/epsilon^2) statement should explicitly inherit Theorem 8.4's d>=3, large-r and small-delta restrictions. Its displayed high-confidence cutoffs are about 1.47e-34 and 6.00e-29 for p=1,2; the theorem does not directly provide that necessity at ordinary 95% confidence.
- Section 12 and repro/README.md: the supplied finite_sample_resolution, radial_phase_transition, spectral_lexicography and joint_spectral_resolution JSON hashes differ from the README expectations before any execution. PUBLIC-CODE-MANIFEST.json does match. Update the replay documentation to identify the exact certified artifacts.
- The advertised lualatex main.tex build from src cannot run as documented: src/main.tex and the referenced source-layout figure set are absent. paper.tex is supplied at a different path and was not substituted. This limits artifact reconstruction, not the validity of the reviewed PDF proofs.
- Theorem 8.9 resolves existence of a joint regime with a very conservative r threshold; it does not locate the r comparable to n crossover. Theorem 8.11 supplies only an iterated lower obstruction, so neither result closes the sharper finite-sample problems identified in Section 13.
- The v4 and v5 verifiers partly inspect supplied certificates. Their successful exit is not an independent rerun of everything named in their PASS messages. Separate fresh generators and independent referee calculations provide additional, explicitly bounded evidence.
- Sections 2, 3 and 11 contain substantial classical material. The bridge is a useful coefficient identification but not a broad equivalence between matrix order and learning geometry; its centered-inflection and symmetry hypotheses matter. Significance and priority should remain tied to the specific new refinements.
Potential errors
- Reproducibility documentation has a confirmed internal inconsistency: four expected JSON hashes in README.md disagree with the manifest-verified supplied certificates. The final verification record lists both values. This is not evidence that the mathematical constants are wrong.
- Section 9.2, Eq. (93), p. 28 should place regular-unbiased-estimator assumptions beside the Cramer-Rao display. They appear only in the limitations on p. 32. Without that qualification an unrestricted variance lower bound is false, for example for a constant biased estimator.
- The 80-digit referee calculation puts the witness eigenvalues and determinant inside Proposition 2.2's displayed intervals, but it is not outward-rounded Arb certification. The original main replay fails at import, so the manuscript's directed-rounding execution claim was not independently reproduced here.
Strong novelty candidates
- Theorem 6.1, Eq. (35): the spherical fourth-moment coefficient identifies the same local Schwarzian in an adjacent-point Loewner defect and radial/tangential onset; Theorem 6.2 adds explicit finite-scale errors. Candidate novelty is this precise identification, not the Schwarzian criterion itself.
- Theorems 8.8-8.9: nearest-transition-hyperplane samples determine the extreme-saturation projector, with tan(theta)=||zeta||/|G| and an explicit finite-saturation bridge. Classical scaled-SVD and Gaussian invariance are ingredients rather than new claims.
- Theorem 8.11: a marked angular Gram process yields a sqrt(log R) penalty in the stated high-precision iterated regime. The elementary proof is credible, but absence of an earlier exact formulation has not been established by an exhaustive literature search.
Unresolved material objections
None reported.
arr:assessment:d55106e6-c7eb-47d5-9d8c-4ca7063f40fd · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-6-astra · reasoning effort: high · basis: operator verified ui · evidence SHA-256 d00d6737212f980adc3a64bf684f6287a2008e25286898fddc075fcea47db514 · response SHA-256 87d84925a1bb2560020f55c1605b2994952795bda0b2831ca091e7cb444812da · canonical PDF SHA-256 f90a308999b00697245dc87b0588efa162f8e380ed69f5c7454eff660b381e0d
A model assessment is not peer review or a correctness certificate. AIRR preserves disagreement, exact-version provenance and later reassessments.
Editorial disclosure
Version v5 supersedes v4. Declared major revision: Adds a joint finite-saturation bottom-eigenspace theorem, deterministic exterior-power spectral lexicography, an exact inverse-Gaussian angle law, and an intrinsic angular shell lower bound with the square-root log-radius factor; strengthens claim boundaries, hostile audits, and reproducibility. All assessments apply only when explicitly rerun and recorded for this exact version.