{"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/load-arguments","entry":"load_arguments","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":1,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"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":"2606.16617","paper":"/paper/arxiv-2606-16617","title":"Sycophancy as Material Failure under Pushback Loading A Multi-Axis Characterization Across Three Loading Cases and up to Seventeen Material Charges","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"JiseungHong/SYCON-Bench","path":"debate_setting/evaluate_ToF.py","file_url":"https://github.com/JiseungHong/SYCON-Bench/blob/HEAD/debate_setting/evaluate_ToF.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"640d5bfca4043114","mcp_get_code":{"code_sha256":"640d5bfca4043114"}},{"arxiv_id":"2309.02160","paper":"/paper/bias-propagation-in-federated-learning","title":"Bias Propagation in Federated Learning","date":"2023-09-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"privacytrustlab/bias_in_FL","path":"fedml/arguments.py","file_url":"https://github.com/privacytrustlab/bias_in_FL/blob/HEAD/fedml/arguments.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"31a606e515af565e","mcp_get_code":{"code_sha256":"31a606e515af565e"}},{"arxiv_id":"2303.10837","paper":"/paper/fedml-he-an-efficient-homomorphic-encryption","title":"FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System","date":"2023-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"FedML-AI/FedML","path":"python/fedml/arguments.py","file_url":"https://github.com/FedML-AI/FedML/blob/HEAD/python/fedml/arguments.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":"9347667d190263e8","mcp_get_code":{"code_sha256":"9347667d190263e8"}},{"arxiv_id":"2303.08127","paper":"/paper/cb2-collaborative-natural-language","title":"CB2: Collaborative Natural Language Interaction Research Platform","date":"2023-03-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lil-lab/cb2","path":"follower_bots/utils.py","file_url":"https://github.com/lil-lab/cb2/blob/HEAD/follower_bots/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5409c0b48b1c18f3","mcp_get_code":{"code_sha256":"5409c0b48b1c18f3"}},{"arxiv_id":"2007.13518","paper":"/paper/fedml-a-research-library-and-benchmark-for","title":"FedML: A Research Library and Benchmark for Federated Machine Learning","date":"2020-07-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fedmlai/fedml","path":"python/fedml/arguments.py","file_url":"https://github.com/fedmlai/fedml/blob/HEAD/python/fedml/arguments.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":"9347667d190263e8","mcp_get_code":{"code_sha256":"9347667d190263e8"}}]}