{"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-env-name","entry":"get_env_name","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":3,"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":2,"n_samples_fingerprinted":1,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":2,"ran_fixture":0,"ran":0,"unverified":2},"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":"2412.00568","paper":"/paper/the-well-a-large-scale-collection-of-diverse","title":"The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning","date":"2024-11-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lanl/nubhlight","path":"script/config.py","file_url":"https://github.com/lanl/nubhlight/blob/HEAD/script/config.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"d40053a9a7e821e4","mcp_get_code":{"code_sha256":"d40053a9a7e821e4"}},{"arxiv_id":"2406.04724","paper":"/paper/probabilistic-perspectives-on-error","title":"Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement Learning","date":"2024-06-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"romanbelaire/acoe-robust-rl","path":"get_best_pickle.py","file_url":"https://github.com/romanbelaire/acoe-robust-rl/blob/HEAD/get_best_pickle.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"35a892ade6c313d2","mcp_get_code":{"code_sha256":"35a892ade6c313d2"}},{"arxiv_id":"2303.13512","paper":"/paper/towards-solving-fuzzy-tasks-with-human","title":"Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition","date":"2023-03-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shuishida/minerl_2022","path":"const.py","file_url":"https://github.com/shuishida/minerl_2022/blob/HEAD/const.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c7cbec0e8325ee42","mcp_get_code":{"code_sha256":"c7cbec0e8325ee42"}},{"arxiv_id":"2302.06912","paper":"/paper/robust-deep-reinforcement-learning-through-2","title":"Regret-Based Defense in Adversarial Reinforcement Learning","date":"2023-02-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"romanbelaire/robust-ccer","path":"code_mujoco/ccer/get_best_pickle.py","file_url":"https://github.com/romanbelaire/robust-ccer/blob/HEAD/code_mujoco/ccer/get_best_pickle.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"35a892ade6c313d2","mcp_get_code":{"code_sha256":"35a892ade6c313d2"}},{"arxiv_id":"2209.02167","paper":"/paper/white-box-adversarial-policies-in-deep","title":"Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents","date":"2022-09-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"thestephencasper/white_box_rarl","path":"wbrarl_plotting.py","file_url":"https://github.com/thestephencasper/white_box_rarl/blob/HEAD/wbrarl_plotting.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f3fdfbe2df4b2fb8","mcp_get_code":{"code_sha256":"f3fdfbe2df4b2fb8"}}]}