- Policy version: 2
- Status cutoff: 2026-07-24
- Scope: runtime-neutral counterexample-search tasks
A catalog record freezes a mathematical claim and a falsification contract. It must not depend on Harbor, a particular agent interface, or a prompt template. Runtime packages are derived artifacts.
Every admitted candidate is evaluated against these gates:
- Exact claim: the record identifies one statement and one polarity.
- Finite refutation: falsity has a finite object or finitely encoded proof certificate.
- Terminating verification: the proposed checker always halts. Numerical evidence alone is insufficient.
- Status evidence: a dated primary, peer-reviewed, institutional, or
expert-maintained source treats the formulation as open. Candidate records
may carry
pendingwhile an independent literature audit is scheduled; onlypassrecords can advance toreviewed. - Duplicate review: equivalent formulations and implication clusters are identified before benchmark sampling.
Fame is useful for significance and provenance, but it never overrides a gate.
- A — direct witness: recompute every predicate on an explicit finite object.
- B — exhaustive finite check: exact enumeration, dynamic programming, canonicalization, or exact optimization establishes a global finite claim.
- C — proof-carrying: SAT/SMT/ILP certificates, formal proofs, rigorous intervals, normal surfaces, or another independently checkable proof object discharges the remaining obligation.
The tiers describe mechanics, not mathematical difficulty or probability.
The catalog records a coarse operational profile without estimating whether a conjecture is true:
direct-enumerationconstraint-searchexact-optimizationproof-carrying
This is the filtration proxy for counterexample exposure. The repository does not publish success percentages until the calibration protocol in CEPM-1 has passed its prospective release gate.
Preferred evidence, in order:
- original papers and peer-reviewed research or surveys;
- primary preprints for the newest result;
- editor-maintained lists such as AIM problem lists, the Kourovka Notebook, Erdős Problems, The Open Problems Project, and EGRES Open;
- official institutional problem pages.
General encyclopedias and search snippets may aid discovery but do not by
themselves advance a task to reviewed. Erdős Problems explicitly warns that
its open status reflects the maintainer's current knowledge; records sourced
there therefore retain an independent-review requirement.
Secondary aggregations such as UnsolvedMath may be pinned as broad discovery inputs, but their status labels, rewritten statements, difficulty ratings, and identifiers are not admission evidence. Promotion requires recovery of a primary or editor-maintained source. Identifier collisions and extraction damage remain explicit data-quality flags rather than being silently repaired.
A credible proof or counterexample claim appends a quarantine event even
before peer review. A new snapshot then makes the task ineligible; the
historical task and snapshot are not rewritten. Restoring a task requires a
later claim-dismissed or independent-status-review event with a source.
Status and execution are independent:
active,review-pending, andquarantineddescribe current eligibility;design-only,prototype, andindependently-testeddescribe verifier maturity.
The Erdős status audit compares represented problem numbers with its
machine-readable maintainer feed. States described there as still open but
finite (falsifiable, verifiable, and decidable) remain active status
evidence. A transition to another state is a quarantine trigger, not an
automatic declaration that a claimed result is correct. One source problem may
support multiple canonical benchmark claims; the audit tracks all linked tasks
and applies the same source-status transition to each of them.
Candidate admission is intentionally weaker than benchmark release. Release also requires:
- review of statement, polarity, and status by a relevant mathematician;
- one primary verifier and an independently implemented reproduction checker;
- malformed-output, near-miss, mutation, and planted-shadow tests;
- frozen resource limits and a model/tool manifest;
- leakage-family assignment and contamination review.
If fewer tasks pass, the release is smaller. Cardinality is not a reason to lower the gate.