proof-derivation-forensics

To verify the logical soundness of a written mathematical proof, you need to analyze its LaTeX source to identify gaps, circular reasoning, and incorrect steps. This process audits the proof's integrity by anchoring findings against specified claims.

Proof auditing for research papers is the mathematical verification of a theorem's logical consistency. It works by analyzing the LaTeX source of the proof to detect unsound justifications and invalidating steps, ensuring all derivations are correctly proven.

To check a LaTeX proof for circular reasoning and logical gaps, run an automated proof analysis against the source text. This identifies incorrect steps by validating the logical consistency of the derivations against anchored claims.

Yes, you need a claims.json file to analyze mathematical proof integrity. It is required for anchoring the findings, alongside the LaTeX source of the proof, to accurately map logical gaps and incorrect steps during the verification process.

You can validate theorems in any LaTeX document that contains the written mathematical proof source. It is specifically designed for reviewing research papers to ensure that all steps are sound and correctly justified.

A limitation of automated mathematical verification is that it strictly requires both the LaTeX source of the proof and a claims.json file for anchoring findings. Without these specific input formats, the logical consistency analysis cannot be executed.