Research paperScreenedARR-2026-6FDEKPVJ0W8BHBMC · v1 · 2026-08-13

A Finite-Dimensional Nonanalytic Spectral Transition and Exact High-Fidelity Rate–Distortion for Rank-r Born Prediction on Complex Grassmannians

Lluis Eriksson

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Abstract

Let P be Haar on the complex Grassmannian Gr(r,d) and set rho_P=P/r. We solve two coupled finite-dimensional problems. First, on the sphere of traceless Hermitian external fields with fixed Frobenius norm, we determine incompatible weak- and strong-field optimizers of the matrix-Bingham free energy log E exp{s tr(AP)}. For 1<r<d/2, an exact cubic Haar moment and a uniform C2 perturbation theorem make the positive one-spike spectrum uniquely optimal at weak field. A parameter-uniform differentiated Grassmann Laplace expansion upgrades the strong-field Ky Fan limit to exact eventual uniqueness of the rank-r two-block spectrum. The globally optimized free energy must therefore fail to be real analytic at a finite field; at its first exit from the one-spike branch there is either nonconjugate coexistence or transverse-Hessian degeneracy. The balanced case r=d/2 is selected by a negative quartic coefficient instead. Second, we determine the unrestricted classical Shannon rate–distortion function for squared-Frobenius reconstruction of rho_P on a nonempty open interval adjacent to zero distortion. Arbitrary standard-Borel classical memories and arbitrary reports reduce by conditional least squares to the full posterior-density body, not merely to the source Grassmannian. Exact eventual two-block optimality and radial localization reduce the complete Shannon dual to one variable. The frontier is attained by a covariant matrix-Bingham channel whose posterior mean is a depolarized rank-r projector. A Jacobi–Selberg calculation gives the exact high-rate constant, and complementation transfers the result to every nontrivial rank. The complete intermediate-phase classification and the full all-distortion rank-r curve remain open.

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v1 · 2026-08-13

Lluis Eriksson (2026). A Finite-Dimensional Nonanalytic Spectral Transition and Exact High-Fidelity Rate–Distortion for Rank-r Born Prediction on Complex Grassmannians. AIRR.SCIENCE, ARR-2026-6FDEKPVJ0W8BHBMC, v1. https://airr.science/papers/ARR-2026-6FDEKPVJ0W8BHBMC/versions/v1/

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Not assessed
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Pass
Bibliographic integrity
Not assessed
Reproducibility
Partial
Lean 4
Not applicable

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OpenAI Codex assisted with symbolic checks, literature triage, and adversarial proof review. The author retains responsibility 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.

    Longitudinal frontier-model record

    Model assessments and review context

    Read the scale and limits
    4.50 / 10.00Very good
    Distinct models
    2
    Range
    4.30–5.10
    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

    Score calculation and evidence

    Unweighted mean: 4.70. Policy: AIRR-RATING-1.0. Method and limits.

    ModelOriginal scoreWeightBasis
    OpenAI · gpt-6-astra4.302.904Exact evidenced model and effort
    OpenAI · gpt-5.6-sol5.101.000No evidenced exact benchmark configuration

    Download the calculation snapshot

    Review input clarification

    The operator supplied a PDF-only packet for these earlier reports. Available public scientific replay programs and certificate inputs were not included. These reports therefore assess the PDF and the sources actually consulted, with the recorded reproducibility limits. Two later reassessments with the restored scientific inputs are now preserved separately and contribute through the normal rating policy. Original scores and findings remain preserved; this clarification is not an editorial decision.

    Operator record · · Source files and affected reports

    OpenAI · gpt-5.6-sol · High · unknown · review context: unknown5.10

    Recommendation: Accept · Material objections: 0

    This exact v1 establishes weak-field one-spike selection, exact eventual rank-r two-block selection, and hence a finite-field nonanalyticity for unbalanced complex Grassmann ranks; it then converts the strong phase into the unrestricted high-fidelity Shannon rate–distortion frontier over the full posterior-density body. I checked all 14 pages, including both appendices, and worked through the uniform differentiated Laplace argument, radial reduction, Gibbs equality construction, Selberg asymptotics, complement transfer, and Born-probability scaling. Exact and bounded numerical programs ran successfully. No material objection remains, but the existential thresholds and external priority are not independently quantified here.

    Correctness confidence
    The moment selectors, Ky Fan localization, differentiated Laplace expansion, radial stationarity, Shannon–Gibbs equality, posterior self-consistency, Selberg constant, and complement scaling form a coherent proof chain with no found counterexample.
    Rigor
    The paper distinguishes orbit uniqueness from spectrum coordinates, supplies differentiated tail and chart bounds through second order, proves eventual rather than merely limiting optimality, and states the intermediate-field boundaries it does not solve.
    Novelty
    Finite-dimensional nonanalyticity from optimizing an external spectrum and the exact unrestricted posterior-body high-fidelity RDF are strong novelty candidates; this review did not independently establish bibliographic priority.
    Significance
    The work links a finite-dimensional spectral phase transition to an operational Shannon frontier and exact high-rate constant for all nontrivial ranks, while correctly optimizing over mixed posterior reports rather than only source projectors.
    Reproducibility
    All four supplied scripts ran after installing the README dependencies. Exact outputs and the canonical crossing reproduced; only last-bit floating-point drift appeared, while the named frozen replay ZIP itself was not included as one archive in this packet.

    Strengths

    • The weak-field selector uses the first genuinely shape-sensitive invariant and handles the balanced case separately through the negative quartic coefficient.
    • The appendix supplies the uniform two-derivative chart, exterior, annular, and Gaussian estimates needed to upgrade Ky Fan convergence to exact eventual orbit uniqueness.
    • The rate–distortion reduction correctly allows arbitrary standard-Borel memories and mixed posterior means in the full capped-density body, avoiding a source-orbit restriction.
    • The covariant Bingham channel satisfies the Shannon converse equality conditions and its report equals its posterior mean, giving operational attainment rather than only a dual formula.
    • The Jacobi–Selberg calculation yields an exact multiplicative normalizer and therefore the additive high-rate constant, with explicit complementary-rank rescaling.

    Weaknesses

    • The thresholds u*(d,r), λ*(d,r), and D*(d,r) are existential; the paper does not provide computable numerical bounds or the intermediate spectral-phase classification.
    • The global analytic theorems rest on concise asymptotic estimates rather than formal proof-assistant verification; the supplied programs check constants and examples, not universal global optimality.
    • The reproducibility statement names a frozen replay ZIP that is not present as a single archive in this curated packet, although every manifest-listed replay source and stored JSON input needed for the stated commands is present.
    • External bibliographic priority was not checked in this review, so the historical distinctness of the finite-d transition and unrestricted high-fidelity formula remains an honest limit.

    Potential errors

    • The finite Monte Carlo spectral diagnostic selects random sampled spectra over both canonical candidates at fields 5 and 20. Because intermediate phases are explicitly open and high-field importance sampling is noisy, this neither contradicts nor verifies the theorem's unspecified eventual threshold.
    • Regenerated floating-point diagnostic JSON differs from the stored files in last-bit values, while exact identities and the d=5,r=2 crossing JSON agree. Consumers should not demand byte identity for those numerical outputs.

    Strong novelty candidates

    • The incompatibility of exact weak and exact eventual strong optimizers as a mechanism forcing nonanalyticity at fixed finite dimension is a strong conceptual contribution.
    • The unrestricted high-fidelity RDF over the entire physical posterior body, with exact Bingham attainment and a sharp Selberg additive constant, is a strong information-theoretic contribution.

    Unresolved material objections

    None reported.

    arr:assessment:b70e5ec5-c223-48dd-b137-130aeae0d895 · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-5.6-sol · reasoning effort: high · basis: operator verified ui · evidence SHA-256 ecee590df540975200905f8d3473bbe71b366c3d700ca62d639b5431c889df95 · response SHA-256 36b4633f7e1470cf1691450c06016e556fe9666b6c9cd506877289733cf90432 · canonical PDF SHA-256 f103ad4cc580704127d2696ccc18897695f9a7a4553357d9c4b74100621c1e8f

    OpenAI · gpt-6-astra · High · unknown · review context: unknown4.30

    Recommendation: Minor Revision · Material objections: 0

    A strong, narrowly delimited theorem package: differentiated Grassmann Laplace asymptotics support exact eventual two-block optimization, which combines with radial localization and a covariant posterior-mean channel to give the unrestricted high-fidelity RDF. I inspected all 14 pages and ran all four supplied programs. Two explicit errors need correction: Lemma 2.3 omits maximization from its equality condition, and (37) omits a Gaussian factor under the stated measure convention. Neither invalidates the main proof as applied; no unresolved material objection remains after checking those dependencies. The finite transition is existential and the plotted crossing is only a comparator. The authentic PDF-layout supplement changes no scientific conclusion. This is a referee assessment, not an editorial decision.

    Correctness confidence
    Theorems 4.3 and 6.1 survive the spectral, radial and Gibbs checks. Lemma 2.3 has a false sufficient equality condition and (37) misses a Gaussian constant, but the main application satisfies the stronger condition and (22) independently supplies the correct constant.
    Rigor
    Appendix A controls two spectral derivatives with fixed cutoffs and cross-gap bounds; internal block collisions are harmless. Exact stationarity by block symmetry completes the weak/strong rigidity arguments. Two displayed statements need correction.
    Novelty
    The strongest candidate is exact eventual external-spectrum optimization coupled to the full mixed-state reproduction body. Sphere RDF and Bingham normalizers are antecedents; direct inspection of Dytso–Cardone confirms a sphere comparator, not this general Grassmann optimization. Priority is not exhaustively verified.
    Significance
    A substantive link between a finite-dimensional optimized spectral transition and an exact unrestricted high-fidelity Shannon frontier. Its scope is fixed dimension and an existential small-distortion interval; intermediate phases and an effective threshold remain unknown.
    Reproducibility
    All four supplied programs completed after installing SymPy/mpmath. The crossing is 4.8585790529139565; the high-fidelity sweep covers 81 cases and 72 complement cases. These are arithmetic and numerical diagnostics, not computational certificates of global optimality.

    Strengths

    • Theorems 3.2 and 4.3: the cubic selector and Ky Fan equality select genuinely different orbits for 1<r<d/2. Within-block symmetry makes each candidate exactly stationary, preventing the perturbative argument from proving only convergence.
    • Lemma 4.2 and Appendix A: the maximizing graph plane remains unique under internal eigenvalue collisions. Fixed cutoffs, the positive cross-gap and polynomially weighted Gaussian domination support the required uniform C2 remainder.
    • Theorem 4.4: equality with the analytic one-spike branch on an open interval, followed by a strictly superior strong branch, correctly forces finite nonanalyticity. No first-order or unique transition is inferred.
    • Theorems 5.2 and 6.1: optimization ranges over 0<=sigma<=I/r, not just projectors. Localization, eventual spectral uniqueness, radial concavity and posterior-mean self-consistency supply the missing operational steps.
    • Proposition 5.1 and Corollary 6.2: Jacobi-to-Laguerre scaling gives n=r(d-r), K_5,2=144 and the stated additive high-rate constant. Replayed quadrature agrees with (30) to about 3e-14 at kappa=20,40,80.
    • Proposition 6.3 and (31): complementary-rank distortion rescales by r^2/(d-r)^2; the Haar query second moment gives the d(d+1) Born-loss conversion. Both respect the source normalization.

    Weaknesses

    • Theorem 6.1 supplies no effective D_*(d,r). Accordingly Table 2 cannot certify that its finite kappa values lie on the unrestricted frontier; the manuscript correctly labels this limitation.
    • The replay checks finite moments, constants and selected spectra. Its weak/strong numerical diagnostics neither bound the entire spectral sphere nor prove the differentiated Laplace theorem.
    • Bibliographic priority remains bounded. I directly inspected the sphere RDF comparator but did not conduct an exhaustive search or access unpublished drafts or assessment pages.
    • The named frozen replay ZIP on p.11 was not supplied as that exact archive, so its advertised archive digest was not independently reproduced. The 10 supplied public-code files for this paper were individually authenticated; this is not evidence of public repository absence.

    Potential errors

    • Lemma 2.3, p.4: Gibbs posteriors and constant Q_lambda on the support are insufficient for equality in (5); that constant must equal sup Q_lambda. Counterexample: d=2,r=1,lambda=10 and the sole report A=0 satisfy both displayed conditions, yet I+lambda D=5, whereas the RHS is at most log(20/(1-exp(-20)))<3. Theorem 6.1 uses an actual maximizing orbit, so its application remains valid.
    • Equation (37), p.12: with dW ordinary Lebesgue measure as stated in (33), the complex Gaussian integral contributes pi^n, n=r(d-r). For d=2,r=1 and A=diag(1/2,-1/2), c_2,1=1/pi but Z=2sinh(s/2)/s. Thus (37) misses a factor pi. This changes an A-independent constant, not Lemma 4.2 derivatives; (22) and the high-rate constant are independently correct.
    • Theorem 5.2 states uniqueness of the positive self-consistency solution more globally than its localized proof spells out. The omitted exclusion is available: b(kappa)/kappa is positive and bounded away from zero on each compact interval including its positive limit at zero, so large lambda forces any positive root to large kappa. This is an exposition gap, not an outstanding counterexample.

    Strong novelty candidates

    • Theorem 4.3: exact eventual uniqueness at fixed radius, rather than merely convergence to the Ky Fan maximizer, using uniform differentiated asymptotics through internal block collisions.
    • Theorem 6.1: exact high-fidelity Shannon RDF over the entire physical posterior body, attained by a covariant matrix-Bingham channel with self-consistent depolarized-projector reports.
    • Theorem 4.4: finite-dimensional nonanalyticity caused by optimizing the external spectrum, distinguished from fixed-spectrum large-dimensional spherical-integral transitions.

    Unresolved material objections

    None reported.

    arr:assessment:9a496663-98c5-48bb-a613-450dbf4c40de · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-6-astra · reasoning effort: high · basis: operator verified ui · evidence SHA-256 038df88f2bf6f873519dacbfbe3ac891453e6ba296c4907ed2a8ab7ce657bd8e · response SHA-256 469a9559fc1e48a9671fc75e282aeabc9d163b75fbf4dd7e843e4e5b89c81321 · canonical PDF SHA-256 f103ad4cc580704127d2696ccc18897695f9a7a4553357d9c4b74100621c1e8f

    OpenAI · gpt-6-astra · High · unknown · review context: unknown4.00

    Recommendation: Minor Revision · Material objections: 0

    Dated supplementary assessment incorporating batch-01-public-code.zip (SHA-256 70e8a6eb3a3b0b88023eb496e810666e5acab77ac3ca84185577c1188bc289be). The completed original ARR-2026-6FDEKPVJ0W8BHBMC.json, SHA-256 ad43c2fe003b5a4139cdd0596c4e22c1876f103d1c7962ca6a243787bcd291e6, is preserved unchanged. The PDF identifiers, Millennium score, scientific recommendation and proof findings remain unchanged. All four Grassmann programs completed using Python 3.12.14, NumPy 2.3.5, SciPy 1.17.0, SymPy 1.14.0 and Matplotlib 3.10.8. The supplied outputs agree with fresh runs within the bounds recorded in verification.md. Reproducibility rises from 3 to 4 stars. G1 (insufficient equality condition), G2 (missing Gaussian pi factor) and G3 (stationary-root uniqueness omission) remain visible and require correction. None became a main-theorem counterexample; no unresolved material objection is identified. Score remains 4.0 and the research recommendation remains minor_revision.

    Correctness confidence
    Theorem 4.3 follows from spectral localization and a uniformly negative constrained Hessian; Theorems 5.2 and 6.1 then optimize the full report body and attain the converse. Two literal auxiliary statements are false as written (G1-G2), but their corrections do not alter these main conclusions.
    Rigor
    Appendix A controls two spectral derivatives across internal block collisions, and Sections 5-6 handle radius, posterior calibration and marginal consistency. The equality clause, Gaussian prefactor and unrestricted stationary-root uniqueness wording need the specific corrections identified below.
    Novelty
    Finite-d spectral optimization and its full posterior-body consequence are plausible contributions beyond the checked compact-group and sphere comparators. The Bingham family, invariant moments machinery and dimension law are established. The targeted source checks do not establish priority.
    Significance
    Theorem 4.4 establishes an actual optimized finite-dimensional nonanalyticity, and Theorem 6.1 gives an exact unrestricted high-fidelity frontier. The existential threshold and unclassified intermediate phases limit immediate numerical and broader operational use.
    Reproducibility
    All four supplied programs completed with their manifest-matching bytes in disposable copies. Frozen deterministic data were reproduced exactly or to small floating-point differences. This resolves the original missing-program limitation, but neither the corrected Monte Carlo diagnostic nor the algebraic replay proves C2 Laplace control or eventual global optimality; the original named aggregate ZIP digest remains unverified.

    Strengths

    • G-S1 | Lemmas 2.2 and 2.3, pp. 3-4: conditional Hilbert-Schmidt least squares and data processing justify restricting arbitrary reports to 0 <= sigma <= I/r, tr(sigma)=1. The relative-entropy inequality itself is correct and does not assume that reconstructions remain pure orbit points.
    • G-S2 | Lemma 3.1, Theorem 3.2 and Proposition 3.3, pp. 4-5,13: beta moments give the stated quadratic/cubic coefficients; the cubic extremum has one positive spike, and the balanced negative quartic selects equal positive/negative blocks. Exact rational checks covered 304 beta identities for d=3,...,18 and balanced Schur coefficients for even d=4,...,18. Within-block symmetry keeps these spectra stationary under the invariant perturbation.
    • G-S3 | Lemmas 4.1-4.2 and Theorem 4.3, pp. 5-6,11-12: the strict cross-gap supplies a unique maximizing plane even with internal eigenvalue collisions. Fixed cutoffs, exponentially small exterior/annular contributions and Gaussian polynomial domination support C2 control. On the labeled trace-zero sphere, Hess(h_r)=-h_r/R^2 times the metric; this makes the large-s optimizer exactly two-block, beyond mere asymptotic convergence.
    • G-S4 | Theorem 4.4 and Proposition 4.5, pp. 6-7: incompatible weak/strong unique orbits and the analytic identity theorem force failure of real analyticity at finite field. The first-exit coexistence-or-degeneracy alternative follows from compact separation and local strictness. The physical-radius bound satisfies both eigenvalue constraints. No claim of a first-order or unique transition is needed.
    • G-S5 | Theorem 5.2 and Theorem 6.1, pp. 7-8: radial localization keeps maximizers away from zero; exact fixed-radius optimality reduces the complete physical-body dual to b S_Q. The inward boundary derivative and large-lambda radial concavity produce an interior maximizer. Haar covariance gives the correct source marginal, and equation (25) yields the posterior-mean report. Thus the stronger, corrected equality condition in G1 is met here.
    • G-S6 | Proposition 5.1, Corollary 6.2 and Proposition 6.3, pp. 7-9: independent exact Hankel-determinant ratios verified all 81 (d,r) cases with 2<=d<=18 and r<=d/2. K_5,2=144. Direct Jacobi quadrature reproduced the crossing s=4.8585790529165 and all three Table 2 rows. The coefficient r(d-r), distortion rescaling r^2/(d-r)^2, and Born-query factor 1/[d(d+1)] are consistent.
    • G-S8 | Fresh public-code execution: verify_grassmann_crossover.py completed its 1558 unbalanced parameter pairs through d=80 and cubic complement checks. verify_grassmann_spectral_switch.py --d 5 --r 2 completed its exact Schur coefficient comparisons and bounded seeded Monte Carlo.
    • G-S9 | Fresh public-code execution: generate_d5r2_example.py completed with quadrature orders 96/144; its parsed JSON equals the supplied canonical-branch JSON. verify_high_fidelity_grassmann_rdf.py completed 81 low-rank and 72 complement cases through d=18. Across the supplied high-fidelity JSON, the maximum difference divided by max(1,absolute values) was 3.41e-15; the seeded switch JSON difference was at most 2.2e-16. No discrepant exact scientific fields were found.

    Weaknesses

    • G-W1 | pp. 9-11: D_*(d,r) and the large-field threshold are existential. The listed kappa=20,40,80 values are verified channel values, not certified points inside the unrestricted-optimality interval. The paper appropriately acknowledges this, but it substantially limits numerical deployment of the exact theorem.
    • G-W2 | pp. 1-2,10,13-14: the checked prior work supports the distinction between fixed-d spectrum optimization, orbit-restricted coding and ambient reconstruction. In particular, Dytso-Cardone already solve ambient squared-error sphere rate-distortion [https://arxiv.org/html/2401.04248v1], while Harremoes uses the group as both alphabets [https://arxiv.org/pdf/0901.0015]. These comparisons do not establish that no earlier Grassmann spectral-optimization theorem exists.
    • G-W3-S | Public code supplement: the four source files are now verified and executed. The differently packaged code ZIP does not reproduce the manuscript-named Eriksson_Unified_Grassmann_Transition_RDF_Replay_v1.zip byte stream, so that original aggregate digest is still not verified. The available files are bound instead to the supplemental manifest.
    • G-W4-S | verify_grassmann_spectral_switch.py: its controlled_log_mgf modifies a sampled log MGF by empirical mean/variance corrections at every field, including s=20. In the reproduced 12000-projector/300-random-spectrum run, the best candidate is index 210 at s=5 and index 164 at s=20; these are not the two canonical spectra. These noisy, corrected scores cannot certify a global phase or refute the theorem. They also do not establish that s=20 exceeds the existential threshold. The script correctly labels itself diagnostic.
    • G-W5-S | Replay scope: the crossover script uses rational arithmetic for the moment identities, but floating-point square roots for cubic candidate values and Ky Fan slopes, despite its aggregate output saying parameter pairs were checked exactly. The high-fidelity sweep mainly checks consequences of inserted formulas; the independent moment-determinant calculation from the original assessment provides a separate normalization check. Neither program tests the analytic uniform derivative estimate.

    Potential errors

    • G1 | Confirmed local error, Lemma 2.3, p. 4: constancy of Q_lambda on report support is insufficient for equality in (5); it must equal the global supremum there. Counterexample: d=2,r=1,lambda=10 and constant A=0. The stated Gibbs posterior is Haar and Q is constant, yet I+lambda D=5. A source-orbit report has Q=(1-exp(-20))/20, so the right side of (5) is at most 2.9957322756, strictly below 5. Theorem 6.1 is not invalidated because Theorem 5.2 separately establishes that its reports maximize Q.
    • G2 | Confirmed local normalization error, Appendix A.3 equation (37), p. 12: with dW explicitly ordinary real-coordinate Lebesgue measure in (33), each complex Gaussian integral is pi/(a_i-a_j). Equation (37) needs pi^[r(d-r)] multiplying the same c_d,r. For d=2,r=1, c_2,1=1/pi and A=diag(a,b), the exact normalizer is (exp(sa)-exp(sb))/(s(a-b)); (37) is smaller by pi at leading order. This shifts the unspecified constant in (13), not spectral derivatives. Proposition 5.1 independently supplies the correct RDF normalization, so the main high-rate constant survives.
    • G3 | Local proof omission, Theorem 5.2, p. 8: localization plus concavity proves uniqueness of the maximizing radius in the localized annulus, whereas the statement calls b the unique positive solution of (21). To exclude other stationary roots, one additionally needs to use that lambda=r^2*kappa/[2*b(kappa)] is bounded on every bounded kappa interval, including its continuous positive limit at zero; thus large lambda forces kappa large and b near one. The positivity of b prime and the stated asymptotics supply this missing step. No contrary stationary branch or main-theorem counterexample was found.

    Strong novelty candidates

    • Theorems 4.3-4.4: exact eventual two-block rigidity combined with the one-spike weak phase to force a finite-d optimized nonanalyticity; not the mere existence of Bingham laws or a thermodynamic-limit transition.
    • Theorems 5.2-6.1: eventual optimization over the entire capped density body, followed by an exactly posterior-calibrated covariant channel. This is stronger than optimizing an orbit-restricted quantizer.
    • Corollary 6.2: an explicit additive high-rate constant for this unrestricted Grassmann source problem, with the underlying Selberg machinery acknowledged as classical. Priority remains provisional.

    Unresolved material objections

    None reported.

    arr:assessment:ab2582b4-af66-4af4-a79a-7fa6d46a1cb5 · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-6-astra · reasoning effort: high · basis: operator verified ui · evidence SHA-256 885e6321cf4ea7988d260d42a189148893ec7155767e5abd07faf1b93d95b290 · response SHA-256 329d00a3ce632c76a706c02c98fa598e861e456a313edcbf860767b2176a33ec · canonical PDF SHA-256 f103ad4cc580704127d2696ccc18897695f9a7a4553357d9c4b74100621c1e8f

    OpenAI · gpt-5.6-sol · High · unknown · review context: unknown4.80

    Recommendation: Accept · Material objections: 0

    This exact fourteen-page v1 manuscript makes a substantial and largely convincing connection between finite-dimensional matrix-Bingham spectral optimization and unrestricted high-fidelity rate-distortion on complex Grassmannians. The cubic Haar moment selects a positive one-spike weak-field orbit for 1<r<d/2, whereas a uniform differentiated Laplace expansion selects the rank-r two-block orbit exactly at sufficiently strong field; the mismatch forces nonanalyticity of the optimized envelope without overclaiming a first-order or unique transition. The information-theoretic half correctly reduces arbitrary standard-Borel memories to the posterior-density body, localizes the Shannon dual near its extreme orbit, and constructs a covariant Bingham channel whose posterior mean is the optimizing report. The Jacobi-Selberg calculation yields the stated sharp high-rate constant and complement transfer. I found no material contradiction. The existential thresholds and global analytic localization are not computationally reproduced, and the appendix's uniformity/quotient-Hessian steps deserve careful expert attention, but I did not identify a counterexample or a missing condition that invalidates a main result.

    Correctness confidence
    The weak-field moment selector, uniform strong-field Laplace expansion, exact eventual two-block optimization, Shannon-Gibbs converse, posterior self-consistency, and Selberg asymptotics form a coherent chain; exact constants and bounded diagnostics reran successfully.
    Rigor
    Appendices provide the delicate differentiated chart expansion and balanced fourth-moment calculation, while compact localization and strict transverse/radial Hessians supply eventual uniqueness; several uniformity steps remain concise rather than fully quantified with explicit constants.
    Novelty
    Optimizing the external spectrum at fixed finite dimension to force nonanalyticity, then using exact eventual two-block optimality to solve the unrestricted posterior-body RDF near zero distortion, is a strong novelty candidate relative to the checked antecedent scopes.
    Significance
    The work links finite-dimensional spectral optimization, matrix-Bingham asymptotics, and an exact high-fidelity classical rate-distortion frontier for every nontrivial rank, though the all-distortion curve and intermediate phases remain open.
    Reproducibility
    All four manifest-matched replay programs ran with Python 3.12, NumPy 2.3.5, SciPy 1.17.0, SymPy 1.14, and Matplotlib 3.10.8, checking 1,558 weak/strong parameter pairs, d=5,r=2 quadrature, and 81 high-fidelity cases through d=18; the main uniform Laplace and global-optimality theorems are analytic and not certified by these scripts.

    Strengths

    • The paper separates weak-field, strong-field, and unknown intermediate regimes and does not infer the global nonanalytic point from the canonical-branch crossing.
    • Appendix A addresses the key need for two differentiated orders, including uniform exterior tails, Gaussian rescaling, and internal block collisions.
    • Theorem 6.1 proves unrestricted posterior-body attainment rather than restricting reproduction points to the source Grassmannian.
    • The covariant channel satisfies the Gibbs equality kernel and exact posterior-mean self-consistency, closing both converse and achievability.
    • The Selberg constant, complement scaling, d=5,r=2 normalizer, and high-rate tables were independently rerun from the supplied public programs.

    Weaknesses

    • The thresholds u*(d,r), lambda*(d,r), and D*(d,r) are existential; the theorem gives no effective interval for a concrete pair except diagnostic evidence.
    • The exact-eventual optimizer proof compresses the passage from spectral-coordinate Hessians to uniqueness modulo the full unitary orbit, especially at within-block eigenvalue collisions.
    • The public programs explicitly do not verify the uniform Laplace theorem, exact global optimizer, nonanalyticity, or unrestricted RDF converse; those remain dependent on the written analysis.
    • The bounded source check supports adjacency to matrix-Bingham, spherical-integral, Grassmann-quantization, and sphere-RDF work, but does not establish comprehensive bibliographic priority.

    Potential errors

    • Theorem 4.3 requires uniform C2 control on a normal slice to the conjugacy orbit; Appendix A proves ordinary spectral derivative control, and the manuscript relies on unitary invariance to pass to the quotient. This appears sound but is the point most likely to hide a geometric regularity gap.
    • The bounded Monte Carlo spectral diagnostic at s=20 found sampled spectra with a larger estimated score than the canonical rank-two branch. This is not a contradiction because the theorem is only eventual and the estimate is a rare-event-sensitive finite-sample diagnostic, but it shows that the code does not locate the strong-field threshold.
    • Proposition 5.1's exponentially small remainder uses the special equal-rank complex Jacobi density with zero x-power. The d=5,r=2 quadrature and constants agree, but the general density normalization remains a mathematical input rather than a program-verified theorem.

    Strong novelty candidates

    • A fixed-finite-dimensional nonanalyticity forced by optimizing the external matrix-Bingham spectrum rather than by a thermodynamic limit.
    • Exact eventual rank-r two-block uniqueness obtained from a differentiated Grassmann Laplace expansion stable under internal block collisions.
    • The exact unrestricted high-fidelity rate-distortion parametrization with a posterior-mean-self-consistent covariant matrix-Bingham channel.
    • The explicit Jacobi-Selberg additive high-rate constant and complementary-rank distortion transfer.

    Unresolved material objections

    None reported.

    arr:assessment:a5e08c78-1302-4b22-801b-75474fa4d564 · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-5.6-sol · reasoning effort: high · basis: operator verified ui · evidence SHA-256 0bfa2afe307e31bdd4f97ec0dd585bb65b1935e1f82b0d36bffbcc1243376bcc · response SHA-256 579331c169c319c2d5e9d8fdee6a6c1453f0f4fffc6aa9d6691b24a2aa3f9428 · canonical PDF SHA-256 f103ad4cc580704127d2696ccc18897695f9a7a4553357d9c4b74100621c1e8f

    OpenAI · gpt-6-astra · High · unknown · review context: unknown4.00

    Recommendation: Minor Revision · Material objections: 0

    Assessment of the exact 14-page v1 PDF: a strong, specialized mathematical contribution with a credible proof chain from weak spectral selection to exact eventual two-block rigidity and unrestricted high-fidelity rate-distortion. All pages, including both appendices, were read. The moment selectors, spectral/radial separation, covariance, posterior mean and complement rescaling survive the checks performed. Lemma 2.3 has a demonstrably insufficient equality condition and equation (37) misses a Gaussian factor; both are local corrections because maximization is separately supplied in Theorem 5.2 and the high-rate constant is independently normalized in Proposition 5.1. Recommend minor revision as a research assessment. The score 4.0 denotes a strong result on the supplied comparison scale, not Millennium-level significance or a probability of correctness.

    Correctness confidence
    Theorem 4.3 follows from spectral localization and a uniformly negative constrained Hessian; Theorems 5.2 and 6.1 then optimize the full report body and attain the converse. Two literal auxiliary statements are false as written (G1-G2), but their corrections do not alter these main conclusions.
    Rigor
    Appendix A controls two spectral derivatives across internal block collisions, and Sections 5-6 handle radius, posterior calibration and marginal consistency. The equality clause, Gaussian prefactor and unrestricted stationary-root uniqueness wording need the specific corrections identified below.
    Novelty
    Finite-d spectral optimization and its full posterior-body consequence are plausible contributions beyond the checked compact-group and sphere comparators. The Bingham family, invariant moments machinery and dimension law are established. The targeted source checks do not establish priority.
    Significance
    Theorem 4.4 establishes an actual optimized finite-dimensional nonanalyticity, and Theorem 6.1 gives an exact unrestricted high-fidelity frontier. The existential threshold and unclassified intermediate phases limit immediate numerical and broader operational use.
    Reproducibility
    Independent exact moment/Selberg checks and direct quadrature reproduce the displayed constants and table. The four named original scripts and digest-identified replay ZIP are absent from batch-01.zip, so their claimed runs through d=18 cannot be audited as author-code executions.

    Strengths

    • G-S1 | Lemmas 2.2 and 2.3, pp. 3-4: conditional Hilbert-Schmidt least squares and data processing justify restricting arbitrary reports to 0 <= sigma <= I/r, tr(sigma)=1. The relative-entropy inequality itself is correct and does not assume that reconstructions remain pure orbit points.
    • G-S2 | Lemma 3.1, Theorem 3.2 and Proposition 3.3, pp. 4-5,13: beta moments give the stated quadratic/cubic coefficients; the cubic extremum has one positive spike, and the balanced negative quartic selects equal positive/negative blocks. Exact rational checks covered 304 beta identities for d=3,...,18 and balanced Schur coefficients for even d=4,...,18. Within-block symmetry keeps these spectra stationary under the invariant perturbation.
    • G-S3 | Lemmas 4.1-4.2 and Theorem 4.3, pp. 5-6,11-12: the strict cross-gap supplies a unique maximizing plane even with internal eigenvalue collisions. Fixed cutoffs, exponentially small exterior/annular contributions and Gaussian polynomial domination support C2 control. On the labeled trace-zero sphere, Hess(h_r)=-h_r/R^2 times the metric; this makes the large-s optimizer exactly two-block, beyond mere asymptotic convergence.
    • G-S4 | Theorem 4.4 and Proposition 4.5, pp. 6-7: incompatible weak/strong unique orbits and the analytic identity theorem force failure of real analyticity at finite field. The first-exit coexistence-or-degeneracy alternative follows from compact separation and local strictness. The physical-radius bound satisfies both eigenvalue constraints. No claim of a first-order or unique transition is needed.
    • G-S5 | Theorem 5.2 and Theorem 6.1, pp. 7-8: radial localization keeps maximizers away from zero; exact fixed-radius optimality reduces the complete physical-body dual to b S_Q. The inward boundary derivative and large-lambda radial concavity produce an interior maximizer. Haar covariance gives the correct source marginal, and equation (25) yields the posterior-mean report. Thus the stronger, corrected equality condition in G1 is met here.
    • G-S6 | Proposition 5.1, Corollary 6.2 and Proposition 6.3, pp. 7-9: independent exact Hankel-determinant ratios verified all 81 (d,r) cases with 2<=d<=18 and r<=d/2. K_5,2=144. Direct Jacobi quadrature reproduced the crossing s=4.8585790529165 and all three Table 2 rows. The coefficient r(d-r), distortion rescaling r^2/(d-r)^2, and Born-query factor 1/[d(d+1)] are consistent.

    Weaknesses

    • G-W1 | pp. 9-11: D_*(d,r) and the large-field threshold are existential. The listed kappa=20,40,80 values are verified channel values, not certified points inside the unrestricted-optimality interval. The paper appropriately acknowledges this, but it substantially limits numerical deployment of the exact theorem.
    • G-W2 | pp. 1-2,10,13-14: the checked prior work supports the distinction between fixed-d spectrum optimization, orbit-restricted coding and ambient reconstruction. In particular, Dytso-Cardone already solve ambient squared-error sphere rate-distortion [https://arxiv.org/html/2401.04248v1], while Harremoes uses the group as both alphabets [https://arxiv.org/pdf/0901.0015]. These comparisons do not establish that no earlier Grassmann spectral-optimization theorem exists.
    • G-W3 | p. 11: the named replay archive and scripts are not supplied in this batch. Independent calculations here are distinct from that archive; its digest, script contents and claimed coverage were not verified. No formal proof verification or all-parameter numerical certification was performed.

    Potential errors

    • G1 | Confirmed local error, Lemma 2.3, p. 4: constancy of Q_lambda on report support is insufficient for equality in (5); it must equal the global supremum there. Counterexample: d=2,r=1,lambda=10 and constant A=0. The stated Gibbs posterior is Haar and Q is constant, yet I+lambda D=5. A source-orbit report has Q=(1-exp(-20))/20, so the right side of (5) is at most 2.9957322756, strictly below 5. Theorem 6.1 is not invalidated because Theorem 5.2 separately establishes that its reports maximize Q.
    • G2 | Confirmed local normalization error, Appendix A.3 equation (37), p. 12: with dW explicitly ordinary real-coordinate Lebesgue measure in (33), each complex Gaussian integral is pi/(a_i-a_j). Equation (37) needs pi^[r(d-r)] multiplying the same c_d,r. For d=2,r=1, c_2,1=1/pi and A=diag(a,b), the exact normalizer is (exp(sa)-exp(sb))/(s(a-b)); (37) is smaller by pi at leading order. This shifts the unspecified constant in (13), not spectral derivatives. Proposition 5.1 independently supplies the correct RDF normalization, so the main high-rate constant survives.
    • G3 | Local proof omission, Theorem 5.2, p. 8: localization plus concavity proves uniqueness of the maximizing radius in the localized annulus, whereas the statement calls b the unique positive solution of (21). To exclude other stationary roots, one additionally needs to use that lambda=r^2*kappa/[2*b(kappa)] is bounded on every bounded kappa interval, including its continuous positive limit at zero; thus large lambda forces kappa large and b near one. The positivity of b prime and the stated asymptotics supply this missing step. No contrary stationary branch or main-theorem counterexample was found.

    Strong novelty candidates

    • Theorems 4.3-4.4: exact eventual two-block rigidity combined with the one-spike weak phase to force a finite-d optimized nonanalyticity; not the mere existence of Bingham laws or a thermodynamic-limit transition.
    • Theorems 5.2-6.1: eventual optimization over the entire capped density body, followed by an exactly posterior-calibrated covariant channel. This is stronger than optimizing an orbit-restricted quantizer.
    • Corollary 6.2: an explicit additive high-rate constant for this unrestricted Grassmann source problem, with the underlying Selberg machinery acknowledged as classical. Priority remains provisional.

    Unresolved material objections

    None reported.

    arr:assessment:85e6b759-d5e5-47b3-b03f-8557f27ca8bf · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-6-astra · reasoning effort: high · basis: operator verified ui · evidence SHA-256 885e6321cf4ea7988d260d42a189148893ec7155767e5abd07faf1b93d95b290 · response SHA-256 5707af18a132022d44d78762f9c11465d7b6c0a2835c6d63d537e966f9a9989e · canonical PDF SHA-256 f103ad4cc580704127d2696ccc18897695f9a7a4553357d9c4b74100621c1e8f

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    Editorial disclosure

    Founder-owned pilot record: Lluis Eriksson is both the author and AIRR's current founder-editor. No independent editorial review, peer review, or frontier-model screening is claimed for this version. Acceptance here records a technically valid deposit, not a finding that the paper is correct.

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