Data and code for: Information-Theoretic Validation Framework for Experimental Mathematics: Detecting Genuine Structure in Integer Sequences
收藏资源简介:
Code, archived result files and the compiled manuscript supporting the methodological study: "Information-Theoretic Validation Framework for Experimental Mathematics: Detecting Genuine Structure in Integer Sequences". Contents: the manuscript (PDF and LaTeX source); the five-step ITVF reference scripts (Step-0 claim typing, synthetic calibration, frozen prospective audit, external literature audit); the archived JSON outputs that back the calibration, prospective and external-bank tables; and a reanalisis/ folder with the re-anchoring of the retrospective "validated results" table against the computation JSONs (script recompute_p02.py, its output, and the case-by-case re-anchoring report). Every number reported in the manuscript traces to one of the included JSON files. Code: MIT. Data outputs and manuscript text: CC-BY 4.0.



