{"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/format-string","entry":"format_string","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":5,"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":4,"n_samples_fingerprinted":1,"n_places":6,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":2,"ran_fixture":0,"ran":2,"unverified":1},"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":"2312.14033","paper":"/paper/t-eval-evaluating-the-tool-utilization","title":"T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step","date":"2023-12-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"open-compass/t-eval","path":"teval/utils/template.py","file_url":"https://github.com/open-compass/t-eval/blob/HEAD/teval/utils/template.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"59c28643240aab3c","mcp_get_code":{"code_sha256":"59c28643240aab3c"}},{"arxiv_id":"2312.06258","paper":"/paper/no-prior-mask-eliminate-redundant-action-for","title":"No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning","date":"2023-12-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhongdy15/npm","path":"common/format_string.py","file_url":"https://github.com/zhongdy15/npm/blob/HEAD/common/format_string.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6c91448bd9c90a76","mcp_get_code":{"code_sha256":"6c91448bd9c90a76"}},{"arxiv_id":"2308.16648","paper":"/paper/generate-your-own-scotland-satellite-image","title":"Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps","date":"2023-08-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"miquel-espinosa/map-sat","path":"download_tiles.py","file_url":"https://github.com/miquel-espinosa/map-sat/blob/HEAD/download_tiles.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"38679784a6fd281e","mcp_get_code":{"code_sha256":"38679784a6fd281e"}},{"arxiv_id":"2005.11401","paper":"/paper/retrieval-augmented-generation-for-knowledge","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","date":"2020-05-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"amaiya/onprem","path":"onprem/pipelines/rag.py","file_url":"https://github.com/amaiya/onprem/blob/HEAD/onprem/pipelines/rag.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b5b35b915ca92dc5","mcp_get_code":{"code_sha256":"b5b35b915ca92dc5"}},{"arxiv_id":"2001.00888","paper":"/paper/towards-scalable-dataframe-systems","title":"Towards Scalable Dataframe Systems","date":null,"month_inferred_from_arxiv_id":"2020-01","title_source":"archive","repo":"modin-project/modin","path":"modin/utils.py","file_url":"https://github.com/modin-project/modin/blob/HEAD/modin/utils.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":"61a21a16d96874db","mcp_get_code":{"code_sha256":"61a21a16d96874db"}},{"arxiv_id":"2024.acl-long.515","paper":null,"title":"arXiv:2024.acl-long.515","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"open-compass/T-Eval","path":"teval/utils/template.py","file_url":"https://github.com/open-compass/T-Eval/blob/HEAD/teval/utils/template.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"59c28643240aab3c","mcp_get_code":{"code_sha256":"59c28643240aab3c"}}]}