{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/signature","entry":"signature","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":5,"n_papers_ran":0,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":5,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":5},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2608.25158","paper":"/paper/arxiv-2608-25158","title":"FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs","date":null,"month_inferred_from_arxiv_id":"2026-08","title_source":"syntology","repo":"fuzzingbrain/FuzzingBrain-Bench","path":"fbbench/grading/signature.py","file_url":"https://github.com/fuzzingbrain/FuzzingBrain-Bench/blob/HEAD/fbbench/grading/signature.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"970f6bc996703833","mcp_get_code":{"code_sha256":"970f6bc996703833"}},{"arxiv_id":"2410.02847","paper":"/paper/deep-signature-characterization-of-large","title":"Deep Signature: Characterization of Large-Scale Molecular Dynamics","date":"2024-10-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"patrick-kidger/signatory","path":"src/signatory/signature_module.py","file_url":"https://github.com/patrick-kidger/signatory/blob/HEAD/src/signatory/signature_module.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b7f24a317d8a0910","mcp_get_code":{"code_sha256":"b7f24a317d8a0910"}},{"arxiv_id":"1903.00757","paper":"/paper/graphvite-a-high-performance-cpu-gpu-hybrid","title":"GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding","date":"2019-03-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"DeepGraphLearning/graphvite","path":"python/graphvite/helper.py","file_url":"https://github.com/DeepGraphLearning/graphvite/blob/HEAD/python/graphvite/helper.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"4a22f661535c9d9d","mcp_get_code":{"code_sha256":"4a22f661535c9d9d"}},{"arxiv_id":"1603.03788","paper":"/paper/a-primer-on-the-signature-method-in-machine","title":"A Primer on the Signature Method in Machine Learning","date":"2016-03-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"code_sha256_prefix":"b7f24a317d8a0910","mcp_get_code":{"code_sha256":"b7f24a317d8a0910"}},{"arxiv_id":"1603.03788","paper":"/paper/a-primer-on-the-signature-method-in-machine","title":"A Primer on the Signature Method in Machine Learning","date":"2016-03-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"patrick-kidger/signatory","path":"src/signatory/signature_module.py","file_url":"https://github.com/patrick-kidger/signatory/blob/HEAD/src/signatory/signature_module.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"a5e4773dbfdff294","mcp_get_code":{"code_sha256":"a5e4773dbfdff294"}},{"arxiv_id":"aaai_16096","paper":null,"title":"arXiv:aaai_16096","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"NeuroLang/NeuroLang","path":"neurolang/expression_pattern_matching.py","file_url":"https://github.com/NeuroLang/NeuroLang/blob/HEAD/neurolang/expression_pattern_matching.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"5747f7171531dee4","mcp_get_code":{"code_sha256":"5747f7171531dee4"}}]}