{"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/preprocess-config","entry":"preprocess_config","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":7,"n_samples_ran":7,"n_samples_fingerprinted":0,"n_places":9,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":6,"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":"2606.05067","paper":"/paper/arxiv-2606-05067","title":"FLAGG: Flexible Autoregressive Graph Generation","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"CognacS/flagg-graphgen","path":"src/configurator.py","file_url":"https://github.com/CognacS/flagg-graphgen/blob/HEAD/src/configurator.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5d10bccfe016949a","mcp_get_code":{"code_sha256":"5d10bccfe016949a"}},{"arxiv_id":"1902.03477","paper":"/paper/the-omniglot-challenge-a-3-year-progress","title":"The Omniglot challenge: a 3-year progress report","date":"2019-02-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"code_sha256_prefix":"5d3cb59c1da5b053","mcp_get_code":{"code_sha256":"5d3cb59c1da5b053"}},{"arxiv_id":"1902.03477","paper":"/paper/the-omniglot-challenge-a-3-year-progress","title":"The Omniglot challenge: a 3-year progress report","date":"2019-02-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"code_sha256_prefix":"53241b134fbef5ed","mcp_get_code":{"code_sha256":"53241b134fbef5ed"}},{"arxiv_id":"1902.03477","paper":"/paper/the-omniglot-challenge-a-3-year-progress","title":"The Omniglot challenge: a 3-year progress report","date":"2019-02-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"schatty/siamese-networks-tf","path":"scripts/train/run_train.py","file_url":"https://github.com/schatty/siamese-networks-tf/blob/HEAD/scripts/train/run_train.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"438799a5cf3530b9","mcp_get_code":{"code_sha256":"438799a5cf3530b9"}},{"arxiv_id":"1612.01277","paper":"/paper/cryptocurrency-portfolio-management-with-deep","title":"Cryptocurrency Portfolio Management with Deep Reinforcement Learning","date":"2016-12-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ZhengyaoJiang/PGPortfolio","path":"pgportfolio/tools/configprocess.py","file_url":"https://github.com/ZhengyaoJiang/PGPortfolio/blob/HEAD/pgportfolio/tools/configprocess.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"de192617ab776ff7","mcp_get_code":{"code_sha256":"de192617ab776ff7"}},{"arxiv_id":"1608.06993","paper":"/paper/densely-connected-convolutional-networks","title":"Densely Connected Convolutional Networks","date":"2016-08-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"okason97/DenseNet-Tensorflow2","path":"src/scripts/train/run_train.py","file_url":"https://github.com/okason97/DenseNet-Tensorflow2/blob/HEAD/src/scripts/train/run_train.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5145248018144008","mcp_get_code":{"code_sha256":"5145248018144008"}},{"arxiv_id":"1608.06993","paper":"/paper/densely-connected-convolutional-networks","title":"Densely Connected Convolutional Networks","date":"2016-08-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"okason97/DenseNet-Tensorflow2","path":"src/scripts/eval/run_eval.py","file_url":"https://github.com/okason97/DenseNet-Tensorflow2/blob/HEAD/src/scripts/eval/run_eval.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"34795ee835344936","mcp_get_code":{"code_sha256":"34795ee835344936"}},{"arxiv_id":"1606.04080","paper":"/paper/matching-networks-for-one-shot-learning","title":"Matching Networks for One Shot Learning","date":"2016-06-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"schatty/matching-networks-tf","path":"scripts/train/run_train.py","file_url":"https://github.com/schatty/matching-networks-tf/blob/HEAD/scripts/train/run_train.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5d3cb59c1da5b053","mcp_get_code":{"code_sha256":"5d3cb59c1da5b053"}},{"arxiv_id":"1606.04080","paper":"/paper/matching-networks-for-one-shot-learning","title":"Matching Networks for One Shot Learning","date":"2016-06-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"schatty/matching-networks-tf","path":"scripts/eval/run_eval.py","file_url":"https://github.com/schatty/matching-networks-tf/blob/HEAD/scripts/eval/run_eval.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"53241b134fbef5ed","mcp_get_code":{"code_sha256":"53241b134fbef5ed"}}]}