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normalize_extracted_answer

Syntologyentry name in harvested coderead from the graph 2026-09-24

normalize_extracted_answer appears in the code Syntology harvested for 9 papers, as 6 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named normalize_extracted_answer do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 3 of the 6 distinct code bodies named normalize_extracted_answer; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
3ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 10 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

9 papers shown of 9, newest first; 10 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards added by Syntology 2025-09 (from id) baaivision/CoS/eval/mathvista/calculate_score.py f34ede28e15fb037 unverified Apache-2.0 (permissive)
R-CoT: Reverse Chain-of-Thought Problem Generation for Geometric Reasoning in Large Multimodal Models 23 Oct 2024 dle666/r-cot/MathVista_eval/evaluation/calculate_score.py 0da7b678f70430a0 unverified no licence file found · pointer only
Phantom of Latent for Large Language and Vision Models 23 Sep 2024 byungkwanlee/phantom/eval/mathvista/calculate_score.py 8b901d87160993c2 ran MIT (permissive)
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models 30 Aug 2024 pengshuai-rin/multimath/eval_mathvista/calculate_score.py ff5aa85ec44db5ee ran Apache-2.0 (permissive)
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models 24 May 2024 byungkwanlee/meteor/eval/mathvista/calculate_score.py ff5aa85ec44db5ee ran MIT (permissive)
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts 9 May 2024 shi-labs/cumo/cumo/eval/calculate_score.py ff5aa85ec44db5ee ran Apache-2.0 (permissive)
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models 5 Mar 2024 luogen1996/llava-hr/llava_hr/eval/calculate_score.py ff5aa85ec44db5ee ran Apache-2.0 (permissive)
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving 15 Feb 2024 geoeval/geoeval/tool/caculate_score.py d7dfb26704c14041 ran fingerprinted no licence file found · pointer only
arXiv:Guo_Integrating_Visual_Interpretation_and_Linguistic_Reasoning_for_Geometric_Problem_Solving_ICCV_2025_paper guozix/DVLR/eval/MathVista/evaluation/calculate_score.py 0da7b678f70430a0 unverified MIT (permissive)
arXiv:Guo_Integrating_Visual_Interpretation_and_Linguistic_Reasoning_for_Geometric_Problem_Solving_ICCV_2025_paper guozix/DVLR/eval/MathVerse/evaluation/calculate_score.py 935bf2d031c5c3e9 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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