{"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/function","entry":"function","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":6,"n_papers_ran":2,"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":11,"n_samples_ran":4,"n_samples_fingerprinted":0,"n_places":11,"n_places_pointer_only":9,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":4,"unverified":7},"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":"2605.10159","paper":"/paper/arxiv-2605-10159","title":"jNO: A JAX Library for Neural Operator and Foundation Model Training","date":null,"month_inferred_from_arxiv_id":"2026-05","title_source":"syntology","repo":"FhG-IISB/jNO","path":"jno/jnp_ops.py","file_url":"https://github.com/FhG-IISB/jNO/blob/HEAD/jno/jnp_ops.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"EPL-2.0","inline_ok":false,"code_sha256_prefix":"7cae40fc8d49e287","mcp_get_code":{"code_sha256":"7cae40fc8d49e287"}},{"arxiv_id":"2309.03886","paper":"/paper/a-function-interpretation-benchmark-for","title":"FIND: A Function Description Benchmark for Evaluating Interpretability Methods","date":"2023-09-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"multimodal-interpretability/find","path":"src/find-dataset/neurons_relations/f00001/function_code.py","file_url":"https://github.com/multimodal-interpretability/find/blob/HEAD/src/find-dataset/neurons_relations/f00001/function_code.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"463c6c3cc2c8ced1","mcp_get_code":{"code_sha256":"463c6c3cc2c8ced1"}},{"arxiv_id":"2309.03886","paper":"/paper/a-function-interpretation-benchmark-for","title":"FIND: A Function Description Benchmark for Evaluating Interpretability Methods","date":"2023-09-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"multimodal-interpretability/find","path":"src/find-dataset/neurons_relations/f00002/function_code.py","file_url":"https://github.com/multimodal-interpretability/find/blob/HEAD/src/find-dataset/neurons_relations/f00002/function_code.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"c4df25d13c67b4c9","mcp_get_code":{"code_sha256":"c4df25d13c67b4c9"}},{"arxiv_id":"2309.03886","paper":"/paper/a-function-interpretation-benchmark-for","title":"FIND: A Function Description Benchmark for Evaluating Interpretability Methods","date":"2023-09-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"multimodal-interpretability/find","path":"src/find-dataset/neurons_relations/f00003/function_code.py","file_url":"https://github.com/multimodal-interpretability/find/blob/HEAD/src/find-dataset/neurons_relations/f00003/function_code.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"250ef0fbae1268cd","mcp_get_code":{"code_sha256":"250ef0fbae1268cd"}},{"arxiv_id":"2309.03886","paper":"/paper/a-function-interpretation-benchmark-for","title":"FIND: A Function Description Benchmark for Evaluating Interpretability Methods","date":"2023-09-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"multimodal-interpretability/find","path":"src/find-dataset/neurons_relations/f00000/function_code.py","file_url":"https://github.com/multimodal-interpretability/find/blob/HEAD/src/find-dataset/neurons_relations/f00000/function_code.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8121127735c1b30d","mcp_get_code":{"code_sha256":"8121127735c1b30d"}},{"arxiv_id":"2309.03886","paper":"/paper/a-function-interpretation-benchmark-for","title":"FIND: A Function Description Benchmark for Evaluating Interpretability Methods","date":"2023-09-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"multimodal-interpretability/find","path":"src/find-dataset/neurons_relations/f00004/function_code.py","file_url":"https://github.com/multimodal-interpretability/find/blob/HEAD/src/find-dataset/neurons_relations/f00004/function_code.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"1504e0248db4443a","mcp_get_code":{"code_sha256":"1504e0248db4443a"}},{"arxiv_id":"2309.03886","paper":"/paper/a-function-interpretation-benchmark-for","title":"FIND: A Function Description Benchmark for Evaluating Interpretability Methods","date":"2023-09-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"multimodal-interpretability/find","path":"src/find-dataset/numeric/f00000/function_code.py","file_url":"https://github.com/multimodal-interpretability/find/blob/HEAD/src/find-dataset/numeric/f00000/function_code.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"742d1bcbb69932d5","mcp_get_code":{"code_sha256":"742d1bcbb69932d5"}},{"arxiv_id":"2308.04073","paper":"/paper/learning-specialized-activation-functions-for","title":"Learning Specialized Activation Functions for Physics-informed Neural Networks","date":"2023-08-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"leaplabthu/adaafforpinns","path":"source/systems_pbc.py","file_url":"https://github.com/leaplabthu/adaafforpinns/blob/HEAD/source/systems_pbc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"92e6e8563c7d4282","mcp_get_code":{"code_sha256":"92e6e8563c7d4282"}},{"arxiv_id":"2003.04618","paper":"/paper/convolutional-occupancy-networks","title":"Convolutional Occupancy Networks","date":"2020-03-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"raphaelsulzer/dgnn","path":"presentation/presentation.py","file_url":"https://github.com/raphaelsulzer/dgnn/blob/HEAD/presentation/presentation.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"03dbc4be7c690d8a","mcp_get_code":{"code_sha256":"03dbc4be7c690d8a"}},{"arxiv_id":"1706.02275","paper":"/paper/multi-agent-actor-critic-for-mixed","title":"Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments","date":"2017-06-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"baoqianwang/iros22_darl1n","path":"maddpg_o/maddpg_local/trainer/maddpg.py","file_url":"https://github.com/baoqianwang/iros22_darl1n/blob/HEAD/maddpg_o/maddpg_local/trainer/maddpg.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5b6a9e8f5134b90d","mcp_get_code":{"code_sha256":"5b6a9e8f5134b90d"}},{"arxiv_id":"1202.3665","paper":"/paper/emcee-the-mcmc-hammer","title":"emcee: The MCMC Hammer","date":null,"month_inferred_from_arxiv_id":"2012-02","title_source":"archive","repo":"dfm/emcee3","path":"emcee3/autocorr.py","file_url":"https://github.com/dfm/emcee3/blob/HEAD/emcee3/autocorr.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"4cd7e818c2722e55","mcp_get_code":{"code_sha256":"4cd7e818c2722e55"}}]}