{"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/get-result-dir","entry":"get_result_dir","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":1,"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":4,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":0,"unverified":3},"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":"2608.15073","paper":"/paper/arxiv-2608-15073","title":"BOCoDe: Engineering-Centered Benchmarking for Bayesian Optimization","date":null,"month_inferred_from_arxiv_id":"2026-08","title_source":"syntology","repo":"yunshengtian/DGEMO","path":"utils.py","file_url":"https://github.com/yunshengtian/DGEMO/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"73c60d39982267aa","mcp_get_code":{"code_sha256":"73c60d39982267aa"}},{"arxiv_id":"2602.18307","paper":"/paper/arxiv-2602-18307","title":"VeriSoftBench: Repository-Scale Formal Verification Benchmarks for Lean","date":null,"month_inferred_from_arxiv_id":"2026-02","title_source":"syntology","repo":"utopia-group/VeriSoftBench","path":"config/paths.py","file_url":"https://github.com/utopia-group/VeriSoftBench/blob/HEAD/config/paths.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2a92be010e7e06f3","mcp_get_code":{"code_sha256":"2a92be010e7e06f3"}},{"arxiv_id":"2510.20872","paper":"/paper/arxiv-2510-20872","title":"MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions","date":null,"month_inferred_from_arxiv_id":"2025-10","title_source":"syntology","repo":"Alaleh/PDBO","path":"utils.py","file_url":"https://github.com/Alaleh/PDBO/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"e1475905997064b7","mcp_get_code":{"code_sha256":"e1475905997064b7"}},{"arxiv_id":"2407.10956","paper":"/paper/spider2-v-how-far-are-multimodal-agents-from","title":"Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?","date":"2024-07-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xlang-ai/spider2-v","path":"run_spider2v_agent.py","file_url":"https://github.com/xlang-ai/spider2-v/blob/HEAD/run_spider2v_agent.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b84b2f21a6936a4d","mcp_get_code":{"code_sha256":"b84b2f21a6936a4d"}},{"arxiv_id":"2406.08799","paper":"/paper/pareto-front-diverse-batch-multi-objective","title":"Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization","date":"2024-06-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alaleh/pdbo","path":"utils.py","file_url":"https://github.com/alaleh/pdbo/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"e1475905997064b7","mcp_get_code":{"code_sha256":"e1475905997064b7"}}]}