{"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/convert-fk-index","entry":"convert_fk_index","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":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":2,"n_samples_ran":2,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":1,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":0},"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":"2502.11741","paper":"/paper/sql-o1-a-self-reward-heuristic-dynamic-search","title":"SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL","date":"2025-02-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shuailyu0110/sql-o1","path":"preprocess_data.py","file_url":"https://github.com/shuailyu0110/sql-o1/blob/HEAD/preprocess_data.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"236550fdf8b264ac","mcp_get_code":{"code_sha256":"236550fdf8b264ac"}},{"arxiv_id":"2412.10138","paper":"/paper/route-robust-multitask-tuning-and","title":"ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL","date":"2024-12-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alibaba/route","path":"route.py","file_url":"https://github.com/alibaba/route/blob/HEAD/route.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"236550fdf8b264ac","mcp_get_code":{"code_sha256":"236550fdf8b264ac"}},{"arxiv_id":"2406.12288","paper":"/paper/an-investigation-of-neuron-activation-as-a","title":"An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs","date":"2024-06-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dakingrai/ood-generalization-semantic-boundary-techniques","path":"evaluations/src/get_tables.py","file_url":"https://github.com/dakingrai/ood-generalization-semantic-boundary-techniques/blob/HEAD/evaluations/src/get_tables.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"64dd3849a251a1bf","mcp_get_code":{"code_sha256":"64dd3849a251a1bf"}},{"arxiv_id":"2306.08891","paper":"/paper/interleaving-pre-trained-language-models-and","title":"Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation","date":"2023-06-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ruc-datalab/zeronl2sql","path":"src/utils/get_tables.py","file_url":"https://github.com/ruc-datalab/zeronl2sql/blob/HEAD/src/utils/get_tables.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"64dd3849a251a1bf","mcp_get_code":{"code_sha256":"64dd3849a251a1bf"}},{"arxiv_id":"2025.emnlp-main.178","paper":null,"title":"arXiv:2025.emnlp-main.178","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"jieshi10/orm-sql","path":"benchmark/test-suite-sql-eval/get_tables_2.py","file_url":"https://github.com/jieshi10/orm-sql/blob/HEAD/benchmark/test-suite-sql-eval/get_tables_2.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"64dd3849a251a1bf","mcp_get_code":{"code_sha256":"64dd3849a251a1bf"}}]}