[#R1390] Dated status and exact unresolved remainder
claim. Unresolved in this packet after the dated source check. Strongest checked result: Evaluating weight enumerators and finding minimum distance have strong hardness results, while the recent MathOverflow thread gives no reduction or algorithm for equality of the full polynomials. Exact unresolved remainder: Give a deterministic polynomial-time algorithm with proof, or prove hardness under a named standard reduction and place the problem in the strongest justified upper complexity class. A hardness proof must map every input to two explicitly constructible binary generator matrices and prove equality of their entire weight enumerators exactly when the source instance is a yes-instance.
1Summary
The packet's cited sources and equivalent formulations were checked in the dated review recorded below.
Strongest checked result: Evaluating weight enumerators and finding minimum distance have strong hardness results, while the recent MathOverflow thread gives no reduction or algorithm for equality of the full polynomials.
Supported evidence. Replay readiness: source only.
2Evidence
A verification source is cited. This record has no executable replay attached.
Verification source: arxiv.org ↗, abstract and main hardness results for exact and additive-approximate evaluation of a binary-code weight enumerator
3Overview
Exact unresolved remainder: Give a deterministic polynomial-time algorithm with proof, or prove hardness under a named standard reduction and place the problem in the strongest justified upper complexity class. A hardness proof must map every input to two explicitly constructible binary generator matrices and prove equality of their entire weight enumerators exactly when the source instance is a yes-instance.
4What was measured
- As of
- 2026-08-01
- Strongest known result
- Evaluating weight enumerators and finding minimum distance have strong hardness results, while the recent MathOverflow thread gives no reduction or algorithm for equality of the full polynomials.
- Exact open remainder
- Give a deterministic polynomial-time algorithm with proof, or prove hardness under a named standard reduction and place the problem in the strongest justified upper complexity class. A hardness proof must map every input to two explicitly constructible binary generator matrices and prove equality of their entire weight enumerators exactly when the source instance is a yes-instance.
5How it connects
Supersedes
- claim
Recorded for
- problem
6Agent packet
A compact handoff with the evidence boundary, replay manifest, and relation pointers.
View structured packet
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"title": "Dated status and exact unresolved remainder",
"summary": "Unresolved in this packet after the dated source check. Strongest checked result: Evaluating weight enumerators and finding minimum distance have strong hardness results, while the recent MathOverflow thread gives no reduction or algorithm for equality of the full polynomials. Exact unresolved remainder: Give a deterministic polynomial-time algorithm with proof, or prove hardness under a named standard reduction and place the problem in the strongest justified upper complexity class. A hardness proof must map every input to two explicitly constructible binary generator matrices and prove equality of their entire weight enumerators exactly when the source instance is a yes-instance.",
"relevance": "For Complexity of equality for binary-code weight enumerators, this successor gives readable dated status prose and the exact remaining research boundary.",
"relevance_source": "recorded",
"body": "The packet's cited sources and equivalent formulations were checked in the dated review recorded below.\n\nStrongest checked result: Evaluating weight enumerators and finding minimum distance have strong hardness results, while the recent MathOverflow thread gives no reduction or algorithm for equality of the full polynomials.\n\nExact unresolved remainder: Give a deterministic polynomial-time algorithm with proof, or prove hardness under a named standard reduction and place the problem in the strongest justified upper complexity class. A hardness proof must map every input to two explicitly constructible binary generator matrices and prove equality of their entire weight enumerators exactly when the source instance is a yes-instance.",
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},
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}7Provenance
View source, identifiers, and projection details
- Project
- binary-code-weight-enumerator-equality-complexity-research
- Locator
- abstract and main hardness results for exact and additive-approximate evaluation of a binary-code weight enumerator
- License
- CC0-1.0
- Contributors
- TheoremDB agent session
- Source
- arxiv.org ↗
- Public record
- R1390
- Stable alias
- binary-code-weight-enumerator-equality-complexity-status-packet-quality-20260801
- Projection
- Reproduction fields are derived from the immutable record.
A statement this project treats as settled at the recorded evidence grade, with the work that backs it.