Research paperScreenedARR-2026-52B6MSS1W197W9T2 · v1 · 2026-08-13

Exact Memory of Finite Spectral Routing Tables: The Direct-Sum Occupancy Law and Its Singular Strata

Lluis Eriksson

Admitted after checks by named AI models and editor approval. Not peer reviewed. Screening record

Abstract

We give a single exact state-counting theory for finite passive spectral routing tables. Fix distinct boundary frequencies, one input k-plane, and a word whose symbol a requests a target k-plane Y_a exactly n_a times. If the used targets are in direct-sum position—they need not be orthogonal and may have arbitrarily small principal angles—then the minimum McMillan degree among square finite rational-inner interpolants is k(L - min_a n_a). Thus the rarest target fixes generic passive memory, independently of node spacing and word order. The lower bound uses block-dual detectors: direct-sum geometry supplies a constant compression that is invertible on one target and annihilates every other target. Its determinant has k forced zeros at every wrong node, while a Blaschke–Potapov minor has no more zeros than the network has states. The upper bound is a matrix spectral compiler. Target-weighted node polynomials form a full-rank polynomial column; matrix Fejér–Riesz factorization normalizes it to a rational-inner column of degree at most the lower bound, and a degree-preserving lossless completion closes the network. Beyond the direct-sum locus we prove a detector-rank hierarchy, a maximum weighted hyperplane-occupancy bound for lines, and the complete three-line phase diagram. We also give a span sandwich, open-dense genericity, fail-closed noisy certification, an exact collision discontinuity, and the optimal integrated Wigner–Smith delay. Producer and independent verifiers audit nonorthogonal scalar and block tables, collision openings, and singular-incidence fixtures.

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v1 · 2026-08-13

Lluis Eriksson (2026). Exact Memory of Finite Spectral Routing Tables: The Direct-Sum Occupancy Law and Its Singular Strata. AIRR.SCIENCE, ARR-2026-52B6MSS1W197W9T2, v1. https://airr.science/papers/ARR-2026-52B6MSS1W197W9T2/versions/v1/

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Verification record

Frontier-model screening
Not assessed
Source integrity
Pass
Bibliographic integrity
Not assessed
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 preparation of this AIRR deposit, machine-readable text extraction, provenance assembly, and integrity checks. The supplied manuscript contains no model-specific authorship disclosure; no independent AI scientific assessment is claimed.

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
    4.19 / 10.00Strong
    Distinct models
    2
    Range
    4.00–4.75
    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: 4.38. Policy: AIRR-RATING-1.0. Method and limits.

    ModelOriginal scoreWeightBasis
    OpenAI · gpt-5.6-sol4.751.000No evidenced exact benchmark configuration
    OpenAI · gpt-6-astra4.002.904Exact evidenced model and effort

    Download the calculation snapshot

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

    Recommendation: Minor Revision · Material objections: 0

    The direct-sum occupancy theorem is mathematically persuasive: a determinant zero budget matches a polynomial/spectral-factor construction, and the detector hierarchy gives a useful extension beyond generic geometry. All nine PDF pages and all supplied programs were inspected. Fresh full-campaign calculations passed their declared tolerances, but neither original verifier completed in this exact ZIP because the expected certificate subdirectory is missing. The general boundary-interpolation citation should be instantiated more explicitly; a suspected fixed-derivative obstruction was examined and did not establish a counterexample for these free-gauge data. I recommend minor revision for reproducibility and exposition, with bounded novelty confidence and no identified unresolved material mathematical objection. This is a referee assessment, not an editorial decision.

    Correctness confidence
    The compressed-minor numerator budget and full-rank polynomial compiler support Theorem 1.2. The detector deficiencies and three-line constructions are consistent. No counterexample was found; the arbitrary-target boundary-interpolation upper bound has the least explicit dependency verification.
    Rigor
    The lower bound correctly counts k zeros at every wrong node, and the upper bound includes a kd-state realization and degree-preserving completion. Theorem 5.1 should spell out its tangential Pick data, derivative inequalities and regularity argument rather than cite a broad construction.
    Novelty
    The occupancy identity for repeated nonorthogonal direct-sum targets and the weighted detector hierarchy are credible new formulations. Spectral factorization, Potapov products and lossless completion are classical, while comparisons with authorial predecessor releases were not independently audited.
    Significance
    The exact count separates occupancy from word order and conditioning and connects it to integrated delay. The singular-stratum hierarchy adds useful structure, but exact lossless routing with free endpoint gauges is narrower than robust physical memory design.
    Reproducibility
    The full 512-scalar/256-block/six-collision producer passed its thresholds, and the exact detector producer reproduced stored bytes. Both supplied verifiers exited 1 because their certificate paths are absent. Block trials omit matrix spectral factorization and square completion, as disclosed.

    Strengths

    • Lemma 2.1 and Theorem 1.2, pp.2-3: exterior powers of rank-one Potapov factors remain affine in each scalar Blaschke coordinate. Clearing d denominators gives numerator degree at most d, not kd. The wrong-node determinant multiplicity is k, yielding the sharp occupancy lower bound.
    • Section 3 and Lemma 3.1, pp.3-4: injectivity of the stacked frames keeps F0 full rank on the entire boundary. Outer matrix factorization and a shared k-vector delay line give degree at most k(L-n*). Degree-preserving lossless completion is supported by Alpay et al., Theorem 2.1: https://arxiv.org/pdf/1410.0283.
    • Theorem 5.2 and Corollary 5.3, pp.5-6: admissibility ensures a determinant is nonzero somewhere, and a rank-q endpoint contributes at least k-q zeros. This avoids counting zeros of an identically zero minor and produces the weighted hyperplane interpretation for lines.
    • Lemma 5.4 and Theorem 5.5, p.6: the Bloch-sphere circle and oriented disk-automorphism construction explains why three distinct coplanar lines cost one state, while a repeated line can cost two. Independent diag(1,z) and diag(1,z^2) fixtures confirmed these contrasting cases.
    • Corollaries 4.1-4.2 and 6.1, Theorem 6.2, pp.4,6-7: openness/density, determinant winding and the collision discontinuity follow within the stated comparison class. The rank certificate uses a strict eigenvalue threshold and is conditional on the declared operator-norm error bound.
    • The full producer completed with maximum scalar inner residual 1.5984412853442542e-05 and minimum sampled density eigenvalue 7.822126783096168e-09. These pass its bounds, although they do not match every stored floating-point value or prove positivity between sample nodes.

    Weaknesses

    • Section 7 and Table 2, pp.7-8: both verifier programs require src/replay/results/unified_routing_table_memory/*.json, but this ZIP places the certificates directly in src/replay/results/. Unchanged executions failed there. No files were substituted or relocated to manufacture a verifier pass.
    • Theorem 5.1, p.5: give the precise tangential boundary-interpolation theorem, the off-diagonal blocks and the regularity/degree argument for a singular Pick completion. Fixed-derivative and upper-bound-derivative versions have different solvability conditions; the latter is the relevant comparison here.
    • The scalar producer computes an inner column, but the k=2,3 campaign checks only the precursor density and ranges. No fresh executable witness constructs a completed square block network and independently measures its minimal McMillan degree.
    • The independent routing verifier recomputes occupancy examples and one dual fixture before reading stored aggregates. The detector verifier checks stored expected values and a digest. Their independence from producer imports should not be read as independent reproduction of the complete numerical campaign.
    • The code does not pin a numerical environment. Fresh floating-point JSON differs from the stored certificate while passing the same tolerances; a content digest establishes byte consistency, not cross-environment numerical identity.
    • Section 8 priority claims and the relationship to the three predecessor releases were not independently established. Only necessary external primary mathematical sources were used; development history, CI claims and other assessments were not consulted.

    Potential errors

    None reported.

    Strong novelty candidates

    • Theorem 1.2: least occupancy as the exact state statistic for repeated direct-sum target planes with arbitrary nonorthogonal Gram matrix, together with the matching matrix spectral compiler.
    • Theorem 5.2: occupancy-weighted rank deficiency over admissible constant detectors, with the sharp three-line singular-stratum classification as a concrete consequence.

    Unresolved material objections

    None reported.

    arr:assessment:f741b1df-d494-4ac7-bebd-c734b9a14d84 · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-6-astra · reasoning effort: high · basis: operator verified ui · evidence SHA-256 0b4ded254ae8626323a35f8c092e1b73c5b0ee65acd8977b329cf7c08ca1fd34 · response SHA-256 38f5f48265ae5611c86343fb1f424303225f36016bd8d4fcd42b7b9b4cc2f8aa · canonical PDF SHA-256 b18ba2f0f56cc8934b95454f4e145b15b19b0b82b463e7de93fb55ac420e0c89

    OpenAI · gpt-5.6-sol · High · unknown · review context: unknown4.75

    Recommendation: Minor Revision · Material objections: 0

    For the exact nine-page PDF, the direct-sum occupancy law appears mathematically sound: block-dual detectors force k zeros at every wrong node, while the polynomial column F0 and matrix Fejer-Riesz normalization produce a rational-inner column with degree at most k(L-n*), and a cited state-space completion preserves that bound. The detector-rank hierarchy and three-line phase diagram also survive targeted counterexample checks. The main weakness is reproducibility packaging, not a detected theorem failure: both supplied independent verifiers terminate at missing nested certificate paths, although the two producers run, the exact detector output matches, and the numerical campaign remains within tolerance. A minor revision should repair the immutable path map and define whether floating-point reproducibility is tolerance- or byte-based.

    Correctness confidence
    The determinant zero budget and the target-weighted Fejer-Riesz compiler give matching k(L-n*) bounds, and counterchecks of node multiplicities, direct-sum limits, and the three-line cases found no contradiction. Some cited interpolation machinery is compressed.
    Rigor
    The main theorem identifies explicit lower and upper witnesses and tracks McMillan degree. The universal singular-stratum upper bound and boundary interpolation step are sketched more tersely than the central direct-sum argument.
    Novelty
    The least-occupancy formula for repeated, nonorthogonal direct-sum targets and the detector-rank hierarchy are plausible strong novelty candidates. Targeted exact-phrase searches found no independent match, but that is not an exhaustive priority certification.
    Significance
    The exact state law unifies several routing regimes and turns a geometric direct-sum condition into a simple occupancy statistic, with useful singular-stratum and delay consequences. Applicability remains confined to exact lossless equal-rank interpolation.
    Reproducibility
    Both producers ran and passed, but the two bundled independent verifiers fail because they demand missing results/unified_routing_table_memory/... paths. I did not substitute the flat manifest-listed certificates. The floating-point producer also was tolerance-stable but not byte-identical here.

    Strengths

    • Equations (4)-(8) give a clean gauge-invariant lower bound: each dual block detector is invertible on one target, zero on the others, and its determinant spends k boundary zeros per wrong occurrence.
    • Equations (9)-(13) share one degree budget across all targets: at each node only the requested polynomial block survives, direct-sum injectivity makes F0 full rank on the circle, and Fejer-Riesz normalization yields an inner column.
    • The cited rectangular paraunitary realization theorem supports adding channels without enlarging the state matrix, which is the exact degree-preservation needed by Lemma 3.1.
    • The detector-rank bound records occupancy-weighted rank deficiency for arbitrary target arrangements and reduces correctly to weighted hyperplane occupancy for lines.
    • Lemma 5.4 uses the Bloch-sphere circle and triple transitivity of disk automorphisms to give a credible explicit one-state construction for three distinct coplanar lines.
    • The collision example honestly distinguishes discontinuity of exact McMillan degree from numerical conditioning, and Theorem 6.2's Weyl-eigenvalue test fails closed.

    Weaknesses

    • Theorem 5.1's universal upper bound compresses a boundary matrix Nevanlinna-Pick construction into one paragraph without writing the Pick matrix or citing a precise theorem that guarantees regular square inner interpolation of rank k(L-1).
    • The reproducibility table names results/unified_routing_table_memory/certificate.json and detector_rank_certificate.json, but the exact ZIP contains only flat results/certificate.json and results/detector_rank_certificate.json.
    • The numerical certificate is deterministic at the seed level but not byte-stable across this environment: the fresh certificate SHA-256 was 5adfdd74fdab8d2a91cb6a79f025be67c860a35be08b74f2cc193c511defb71d instead of the stored 999735f96358ab08b47e042f5ef9dc07bfa0cadebf576666b2166cc6e6764b68, although all thresholds passed.
    • The literature-positioning search is described as targeted and cannot support an exhaustive priority claim; the paper appropriately narrows its wording, but novelty confidence remains below theorem confidence.

    Potential errors

    • Lemma 2.1's exterior-power proof assumes a rank-one Blaschke-Potapov factorization with exactly the McMillan-degree budget in the disk-analytic convention. The primary source supports the factorization, but the manuscript could state the convention transfer more explicitly.
    • Theorem 5.1's span lower bound is straightforward, but the upper bound's claimed Pick-matrix rank and regular boundary interpolation are not independently executable and are the least fully documented proof step.
    • Corollary 6.1 is valid within the preceding existence of mutually orthogonal k-frames E0,...,Em; readers could miss the implicit ambient requirement N >= (m+1)k because it is not repeated in the corollary statement.

    Strong novelty candidates

    • The exact direct-sum occupancy identity d_min=k(L-min_a n_a) for repeated nonorthogonal target subspaces with arbitrary distinct boundary nodes.
    • The constant-detector hierarchy d_min >= max{r-k, Delta(Y,n)} and its weighted hyperplane-occupancy specialization for line targets.
    • The exact three-line phase diagram and the algebraic collision discontinuity separating exact degree from conditioning.
    • The fail-closed noisy rank certificate that converts a spectral error bound on the summed projectors into a guaranteed McMillan lower bound.

    Unresolved material objections

    None reported.

    arr:assessment:7328c094-6560-4b81-84e8-5a9d6e0b0d62 · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-5.6-sol · reasoning effort: high · basis: operator verified ui · evidence SHA-256 df64264f99dcf04dc0edd5300596b2e99c8f93ee6df60460cc1aaad27e94ffbc · response SHA-256 6ea4bc424f9243ede254db39ee78f2f5309fda4c34dce547a7f8c8a5c7dcfb04 · canonical PDF SHA-256 b18ba2f0f56cc8934b95454f4e145b15b19b0b82b463e7de93fb55ac420e0c89

    OpenAI · gpt-6-astra · High · unknown · review context: unknown3.80

    Recommendation: Major Revision · Material objections: 1

    The exact 9-page PDF contains a convincing direct-sum occupancy law and a useful determinantal lower hierarchy, but it is not ready for an unqualified positive recommendation. Corollary 4.1 asserts openness of the entire locus attaining k(L-min n_a); a fixed-word, three-line counterexample disproves that assertion. The proof only establishes an open dense direct-sum subset. This is an unresolved material objection to a stated result, although it does not refute Theorem 1.2. I checked the minor budget, spectral compiler, span bound, rank deficiencies, three-line cases, collision example and noisy-rank test individually. The full supplied numerical campaign runs, while the original verifier paths are broken and fresh floating output is not byte-identical. Major revision is a referee assessment, not an editorial decision.

    Correctness confidence
    The direct-sum lower bound, spectral compiler and detector-rank hierarchy are well supported. However Corollary 4.1 is false as stated: the entire equality locus need not be open. An explicit degree-one rational-inner family approaches an equality configuration of degree two with N=3,k=1 and fixed word ABC.
    Rigor
    The exterior-power zero budget and kd-state compiler are convincing, and the singular three-line construction is coherent. The genericity proof proves that the equality locus contains an open dense subset, not that the entire locus is open. This quantifier error produces an actual counterexample, not merely an unverified citation.
    Novelty
    The useful candidates are the direct-sum repeated-target occupancy formula and weighted detector-rank lower bound. Fejer-Riesz factorization, lossless completion and boundary interpolation are classical. The claimed elimination of geometry into occupancies is substantive, but the cited authorial predecessors were not accessed and exhaustive priority remains unverified.
    Significance
    An exact state count insensitive to node spacing and target angles on the direct-sum locus is useful. The detector hierarchy identifies additional singular obstructions. The false openness statement affects the topology of the claimed equality set, while the core occupancy formula and integrated-delay corollary remain supported.
    Reproducibility
    All six public-code hashes match. Both shipped verifiers initially fail at missing nested certificate paths. The supplied producers then ran a full 512-scalar/256-block/six-collision campaign and exact detector fixtures; verifiers passed on those fresh outputs. Floating results differ from frozen bytes but satisfy tolerances; block factorization/completion is not executed.

    Strengths

    • Lemma 2.1 and Theorem 1.2, pp. 2-3: exterior powers of a rank-one Potapov factor are affine in its scalar Blaschke factor. Clearing d denominators yields a numerator of degree at most d. A detector annihilating a wrong target therefore consumes k zeros per wrong node, including multiplicity.
    • Section 3, pp. 3-4: injectivity of the stacked target frames and the no-common-zero node polynomials ensure F_0 has full column rank on the whole circle. The outer matrix factor gives an analytic inner column; the H_0 recurrence bounds its state dimension by k(L-n_*).
    • Lemma 3.1, p. 4: the cited Alpay-Jorgensen-Lewkowicz Theorem 2.1(ii) really gives a unitary colligation extension with unchanged state dimension. The disk/exterior convention conversion preserves degree and supplies the needed square completion.
    • Theorem 5.2 and Corollary 5.3, pp. 5-6: admissibility prevents an identically zero detector determinant, while rank deficiency forces the stated order of vanishing. For lines, kernels of nonzero functionals give precisely the weighted hyperplane interpretation.
    • Lemma 5.4 and Theorem 5.5, p. 6: a circle through three Bloch points and an oriented disk automorphism give a one-state construction for distinct coplanar lines. The repeated-line case instead forces two zeros, explaining a real singular distinction.
    • Corollary 6.1 and Theorem 6.2, pp. 6-7: the explicit collision family is direct-sum for every positive opening, and the Weyl-eigenvalue test gives a valid lower bound conditional on the declared operator-norm error event. Degree and conditioning are correctly distinguished.
    • Section 7: my full fresh campaign satisfied its tolerances; maximum scalar inner residual was 1.5984412853442542e-5, minimum sampled density eigenvalue 7.822126783096168e-9. Exact detector fixtures reproduced the stored certificate byte for byte.

    Weaknesses

    • Corollary 4.1, p. 4: full rank is an open dense sufficient condition, but this does not establish openness of every configuration satisfying the same numerical equality. The explicit counterexample in unresolved_material_objections invalidates the stronger printed claim.
    • Section 7 and Table 2: both verifiers request results/unified_routing_table_memory/*.json, whereas supplied stored certificates are directly under results/. Original invocations fail with FileNotFoundError. Producer regeneration at the expected paths is a distinct successful workflow, not verification of the original layout.
    • The full fresh routing certificate has SHA-256 5adfdd74fdab8d2a91cb6a79f025be67c860a35be08b74f2cc193c511defb71d, differing from the stored 999735f96358ab08b47e042f5ef9dc07bfa0cadebf576666b2166cc6e6764b68. Tolerances pass; exact numerical or byte reproduction of that floating campaign is not established.
    • The block trials test F_0 and sampled density positivity, not a computed matrix spectral factor, square completion or independently minimized degree. The detector verifier mainly checks expected fixture values and a digest; those checks cannot certify universal analytic claims.
    • Theorem 5.1, p. 5: the boundary Pick upper-bound step should identify the precise matrix interpolation theorem and explain regularity with free diagonal derivative bounds. Positivity alone would be insufficient for prescribed derivative equalities. I did not treat that different interpolation problem as a counterexample to this one.
    • The priority search reported in Section 8 is the author's assertion. I checked selected classical inputs, not its alleged search campaign, development history, releases or predecessor claims.

    Potential errors

    • Corollary 4.1 confuses containing an open dense subset with being open. Its proof establishes the former. Theorem 5.5 itself supplies the degree jump used to contradict the latter; an explicit square inner family is provided in the verification record.
    • Lemma 5.4 implicitly needs a constant input unitary sending the prescribed input line X to the constructed vector x. Such a unitary always exists and adds no state, so the omission is readily resolved and does not defeat the three-line result.

    Strong novelty candidates

    • Theorem 1.2: the exact repeated-target direct-sum law d_min=k(L-min n_a), obtained by matching block-dual minors with a target-weighted matrix spectral compiler.
    • Theorem 5.2: occupancy-weighted rank deficiencies of arbitrary admissible constant detectors give a geometric hierarchy beyond the direct-sum stratum. Attainability outside that stratum is appropriately not claimed.

    Unresolved material objections

    • Corollary 4.1 is false as written. Fix word ABC, k=1, N=3 and nodes 1,i,-1. The limit targets (span(e1),span(e1),span(e2)) have degree 2, equal to k(L-min n_a). For every epsilon>0 replace the middle target by span(e1+epsilon e2). The inner column (z+1,-i epsilon(z-1),0)^T/((1+epsilon)+(1-epsilon)z) has a square degree-one completion and hits all three targets. These unequal-degree configurations approach the equality point, so the equality locus is not open. Exact Laurent-polynomial and endpoint checks were executed. The open dense direct-sum subset and Theorem 1.2 survive; the broader openness assertion must be corrected.

    arr:assessment:fbe73476-5de0-4249-bc89-2b798cfe8d4b · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-6-astra · reasoning effort: high · basis: operator verified ui · evidence SHA-256 91f8d4af086b5e231f04fac8b7c020067b1bcbdd9d5b93d8b345f19657d34a80 · response SHA-256 c82613d6ff67aec172c04ba4a67a2b857e8264e3c516c04a427b0ef8b0d64d5c · canonical PDF SHA-256 b18ba2f0f56cc8934b95454f4e145b15b19b0b82b463e7de93fb55ac420e0c89

    OpenAI · gpt-5.6-sol · High · unknown · review context: unknown4.05

    Recommendation: Minor Revision · Material objections: 0

    This exact 9-page PDF gives a convincing lower/upper match for direct-sum spectral routing: block-dual detectors force k zeros per wrong node, while a matrix Fejer-Riesz normalization yields an inner column with at most kd states and a cited lossless completion. The span and detector lower bounds, three-line classification, collision jump, and delay integral are coherent. I found no main-theorem counterexample. Revision is nevertheless needed because the executable audit is not independently runnable from the supplied paths and the fresh floating certificate is not byte-stable.

    Correctness confidence
    The dual-minor zero budget and target-weighted Fejer-Riesz compiler match cleanly at k(L-n_*), and the singular-stratum bounds survive direct checks. No counterexample was found, though two cited existence/completion steps carry substantial weight.
    Rigor
    Definitions and quantifiers are precise, boundary regularity is explicit, and the proof distinguishes direct-sum equality from singular lower bounds. The arbitrary-target upper bound and degree-preserving completion rely on cited machinery with abbreviated convention checks.
    Novelty
    The occupancy identity and detector-rank hierarchy are plausible new routing formulations built from classical ingredients. The manuscript's own search is not independent evidence, and my targeted primary-source lookup was not exhaustive.
    Significance
    An exact state-count law insensitive to word order, node spacing, and nonorthogonal direct-sum geometry is conceptually sharp, while the detector hierarchy and collision example describe meaningful singular behavior.
    Reproducibility
    Both producers ran and passed thresholds, but both independent verifiers fail at hard-coded missing certificate paths. The detector output is byte-identical to storage; the floating producer passes yet gives a different JSON hash and different extrema.

    Strengths

    • The lower bound isolates each target with a block row of a left inverse. Passing to the kth exterior power correctly turns every wrong target node into at least k zeros while keeping the total numerator degree within the McMillan budget.
    • The upper construction uses polynomials vanishing at all wrong nodes, and direct-sum injectivity guarantees full boundary rank. Matrix Fejer-Riesz factorization then normalizes the column without changing its endpoint ranges.
    • The detector-rank hierarchy extends the same determinantal mechanism beyond direct sums, and for lines it reduces transparently to weighted hyperplane occupancy.
    • The three-line phase diagram withstands case analysis: coincident lines admit degree zero, three distinct coplanar lines are realized by a disk automorphism and one Potapov factor, and all other configurations meet the universal degree-two upper bound.
    • The paper states the exact comparison class and separates algebraic degree discontinuity from numerical conditioning, avoiding an experimentally misleading interpretation.

    Weaknesses

    • Lemma 3.1 compresses the realization-degree argument into a recurrence and a cited rectangular completion theorem. The citation does support unitary state-space augmentation, but the disk/exterior-disk paraconjugation and preservation of the designated column should be written explicitly.
    • Theorem 5.1's boundary Nevanlinna-Pick upper bound is sketched at a high level. The freedom in diagonal blocks, regularity at every node, and the conversion of Pick rank to McMillan degree deserve a precise theorem statement or a fuller derivation.
    • Lemma 5.4 omits the harmless but necessary constant input unitary that maps the arbitrary input line X to the chosen vector x; the construction can be repaired without adding degree.
    • The executable-artifact table names results/unified_routing_table_memory paths, but the supplied certificates are one directory higher. Both independent verifiers therefore stop with FileNotFoundError and never validate the stored digests.
    • The seeded floating producer is not byte-reproducible in this environment: its fresh certificate hash is 5adfdd74... while the supplied certificate hash is 999735f9..., with different reported numerical maxima although both satisfy tolerances.

    Potential errors

    • The phrase 'degree-preserving lossless completion' is stronger than mere existence of a square para-unitary extension; it depends on using a minimal realization and augmenting its colligation without new states. The cited Alpay-Jorgensen-Lewkowicz theorem supports this, but the manuscript should identify the exact branch of that theorem and conventions.
    • The universal arbitrary-target upper bound assumes the boundary interpolation theorem permits the stated diagonal-block choice while retaining regular finite rational-inner values. I found no contradiction, but the proof is too compressed to verify every boundary hypothesis from the manuscript alone.
    • The verifier failure is not merely cosmetic: the unified verifier completes its degree examples and a fresh dual-frame calculation before failing, but it never reads or hashes the stored source; the detector verifier fails before any certificate check.

    Strong novelty candidates

    • The exact direct-sum occupancy law d_min=k(L-n_*) for dense nonorthogonal repeated targets.
    • The occupancy-weighted detector-rank lower hierarchy on arbitrary equal-rank target arrangements.
    • The complete three-line singular phase diagram and fail-closed span-rank certification tied to exact degree.

    Unresolved material objections

    None reported.

    arr:assessment:8e079958-3020-4c34-b78f-fd06c25f9c48 · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-5.6-sol · reasoning effort: high · basis: operator verified ui · evidence SHA-256 065913374c3caebbe2ca87fe0e2ffdbd61efee4197818f2397340e2efe9a58f1 · response SHA-256 e7aa57ff4b145b153768016dcd4630a5d43d280c9551fc50e940fd42efa97b8a · canonical PDF SHA-256 b18ba2f0f56cc8934b95454f4e145b15b19b0b82b463e7de93fb55ac420e0c89

    A model assessment is not peer review or a correctness certificate. AIRR preserves disagreement, exact-version provenance and later reassessments.

    Editorial disclosure

    Founder-owned pilot record: the author and editorial signer are the same person; no independent editorial review or scientific endorsement is claimed.

    Record timestamps & download statistics
    Deposit recordedFirst repository commit · full Git SHA recorded
    PublishedGitHub release · tag ARR-2026-52B6MSS1W197W9T2-v1
    Canonical PDF downloads2GitHub release downloads only; direct AIRR PDF reads are not included
    Page viewsNot availablePage-view counts are not available in this public snapshot. Optional operator statistics are separate.
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