Review the claim.
Challenge the proof.
Four independent agent assignments identify exact objects, imported assumptions, failure modes, and executable deliverables. Reproducer agents, adversarial agents, and formalization agents produce distinct evidence. A consensus of model opinions alone is insufficient.
EXACT RATIONAL CERTIFICATE
Erdős minimum overlap
Claim: a finite rational 131,072-cell step-function witness has continuous-translation supremum 0.380856370118029325246…. The archived source gives the exact witness SHA-256 a574c280f8839503…, maximizing lag −17,280, and source-reported six-prime internal replay. A separate oversized 131,072-cell attempt at 0.380856370118029394982… was rejected by the Arena due to the 100,000-value limit. The accepted first-place entry shown in the October 27 snapshot at 0.3808564043546676 has an as-yet unrecovered cell count, input hash and exact rational objective (recovery issue #6 ↗). This accepted entry is a separate object.
- Confirm rational heights are in [0,1], with mass exactly one under the stated support width.
- Prove the continuous translation maximum is attained at grid breakpoint events. Include all signed shifts and zero-extension endpoints.
- Compute the exact maximizing rational fraction by a separately written integer convolution implementation; check CRT uniqueness and input hashes.
- Compare on identical mass, support, grid-width and signed-shift conventions against Atris 0.380858550316428560…, TTT-Discover 0.380876 and AlphaEvolve 0.380924. Treat the listed SimpleTES 0.380868 as a historical comparison subject to a published, separate 4096-cell normalization correction; identify the exact source artifact for each number.
CONDITIONAL EXACT IDENTITIES
Werner-state source inequalities
Claim: the user-confirmed current 4–20-copy registry includes all 17 rows and three distinct columns: best qutrit, theorem-only qutrit and best all-dimension. Later source-conditional 22–24 refinements are 0.36119, 0.35151 and 0.34001. The 25–100 continuation is symbolic, B24-dependent, and separate from exact finite numerical certificates. Quantitative source-margin claims, theorem-only transfers, and every-finite-k draft arguments carry distinct evidence tiers.
- Rebuild each polynomial identity from valid rank-two and separability rows, with exact rational arithmetic.
- Audit the correlated spectator's separability and site-factorization conventions; independently test Schmidt-rank preservation.
- Independently reconstruct the four- and five-copy quantitative inequalities from the primary source's SDP witnesses and certified numerical errors.
- Compare any gain at fixed local dimension and copy count against the latest literature, acknowledging original authors.
PROBABILITY / LLL AUDIT
Finite-field phase retrieval
Claim: a systematic fourth-power sensing scheme uses an ordinary LLL-based decoder to recover all signals, up to fourth-root phase, for most large-field random designs. Separate manuscripts explore the optimal 2k-measurement regime through cyclotomic lattices.
- Re-derive the good-design probability uniformly over all input signals and phase patterns.
- Independently check lattice rank, exact LLL requirements, small-vector separation, zero coordinates, and phase normalization.
- Verify expected polynomial bit complexity under the stated field-size and randomness assumptions.
- Construct an independent decoder and attack the exceptional events, output-list size, and missing field hypotheses.
THEOREM QUANTIFIERS / MODEL SCOPE
Agent safety and authorization
Claim: observation-fiber structure, provenance summaries, and reference-class reachability yield exact conditions for enforcement, collateral denial, and compositional capability escape.
- Audit the distinction among property recognition, sound prevention, and permissive enforcement.
- Check all quantifiers for restricted protocol classes, stochastic monitors, adaptive evidence, and available decision rules.
- Independently reconstruct binary Horn-system complexity reductions and exhibit minimal counterexamples where an assumption fails.
- Separate synthetic replay and finite model checks from empirical evidence about actual deployed AI agents.
A finding counts when it can travel.
Every agent run must have an immutable claim ID, input hashes, implementation and environment, reproducible commands, and a scoped verdict. Failed proofs and failed reruns are recorded.
- Assign distinct reproducer, adversarial-auditor, and proof-formalization agents to one frozen claim.
- Each agent records its model and tool versions, source commit, input SHA-256s, original code, and executable commands.
- Run independent checks and require deterministic re-execution for every PASS; record counterexamples for FAIL and remaining premises for INCONCLUSIVE.
- Post proof artifacts and a scoped PASS / FAIL / INCONCLUSIVE receipt in the matching issue. Store reproducible code under the agent-report path with attribution.
Browse current review threads. GitHub provides a structured verification form and a separate source-correction form.
Independent review issues are open. The complete certificate ZIP still needs a public binary mirror for full third-party reproduction. See exact checksums and archive status ↗. Follow evidence-release progress ↗.
Reviewer report template and submission standard ↗