{"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-problem","entry":"load_problem","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":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":5,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":1,"ran":0,"unverified":4},"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":"2606.30680","paper":"/paper/arxiv-2606-30680","title":"Locker-based Truck-Drone Routing with Integrated Considerations of Pickups, Deliveries, and No-Fly Zones","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"wouterkool/attention-learn-to-route","path":"utils/functions.py","file_url":"https://github.com/wouterkool/attention-learn-to-route/blob/HEAD/utils/functions.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5deb1f5b2269293b","mcp_get_code":{"code_sha256":"5deb1f5b2269293b"}},{"arxiv_id":"2603.04852","paper":"/paper/arxiv-2603-04852","title":"Non-Parametric Structural Priors for Geometry Theorem Prediction","date":null,"month_inferred_from_arxiv_id":"2026-03","title_source":"syntology","repo":"BNU-ERC-ITEA/Pri-TPG","path":"solve/engine.py","file_url":"https://github.com/BNU-ERC-ITEA/Pri-TPG/blob/HEAD/solve/engine.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"2b57f157c351f353","mcp_get_code":{"code_sha256":"2b57f157c351f353"}},{"arxiv_id":"2506.16443","paper":"/paper/leveraging-influence-functions-for-resampling","title":"Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks","date":"2025-06-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"aleks-krasowski/pinnfluence_resampling","path":"pinnfluence_resampling/utils/eval_and_plotting_utils.py","file_url":"https://github.com/aleks-krasowski/pinnfluence_resampling/blob/HEAD/pinnfluence_resampling/utils/eval_and_plotting_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"e6a7560039fec355","mcp_get_code":{"code_sha256":"e6a7560039fec355"}},{"arxiv_id":"2205.13225","paper":"/paper/collaborative-distillation-meta-learning-for","title":"DevFormer: A Symmetric Transformer for Context-Aware Device Placement","date":"2022-05-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kaist-silab/devformer","path":"src/utils/functions.py","file_url":"https://github.com/kaist-silab/devformer/blob/HEAD/src/utils/functions.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"303bdfb5bc7ca4ca","mcp_get_code":{"code_sha256":"303bdfb5bc7ca4ca"}},{"arxiv_id":"2105.02741","paper":"/paper/meta-learning-based-deep-reinforcement","title":"Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems","date":"2021-05-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhangzizhen/ml-dam","path":"utils/functions.py","file_url":"https://github.com/zhangzizhen/ml-dam/blob/HEAD/utils/functions.py","status":"ran_fixture","verification_level":1,"contract_check":"DEP_MISSING","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5f967c50eae7fa16","mcp_get_code":{"code_sha256":"5f967c50eae7fa16"}},{"arxiv_id":"1803.08475","paper":"/paper/attention-learn-to-solve-routing-problems","title":"Attention, Learn to Solve Routing Problems!","date":"2018-03-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"theresearchai/vehicle_routing_rl_2","path":"utils/functions.py","file_url":"https://github.com/theresearchai/vehicle_routing_rl_2/blob/HEAD/utils/functions.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5deb1f5b2269293b","mcp_get_code":{"code_sha256":"5deb1f5b2269293b"}}]}