{"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/compose","entry":"compose","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":9,"n_papers_ran":2,"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":10,"n_samples_ran":2,"n_samples_fingerprinted":0,"n_places":10,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":1,"ran":1,"unverified":8},"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":"2606.02800","paper":"/paper/arxiv-2606-02800","title":"Cosmos 3: Omnimodal World Models for Physical AI NVIDIA","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"nvidia/cosmos","path":"evaluation/cosmos3/reasoner/vlmevalkit/cosmos_eval/run_all.py","file_url":"https://github.com/nvidia/cosmos/blob/HEAD/evaluation/cosmos3/reasoner/vlmevalkit/cosmos_eval/run_all.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"960ee14de9b20b31","mcp_get_code":{"code_sha256":"960ee14de9b20b31"}},{"arxiv_id":"2606.01016","paper":"/paper/arxiv-2606-01016","title":"PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"rany2/edge-tts","path":"src/edge_tts/srt_composer.py","file_url":"https://github.com/rany2/edge-tts/blob/HEAD/src/edge_tts/srt_composer.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"b05db1c86246d8d9","mcp_get_code":{"code_sha256":"b05db1c86246d8d9"}},{"arxiv_id":"2407.17396","paper":"/paper/systematic-reasoning-about-relational-domains","title":"Systematic Reasoning About Relational Domains With Graph Neural Networks","date":"2024-07-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"erg0dic/gnn-sg","path":"src/comp_dataset_generator.py","file_url":"https://github.com/erg0dic/gnn-sg/blob/HEAD/src/comp_dataset_generator.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ae574bc97431f499","mcp_get_code":{"code_sha256":"ae574bc97431f499"}},{"arxiv_id":"2311.18727","paper":"/paper/automatic-functional-differentiation-in-jax","title":"Automatic Functional Differentiation in JAX","date":"2023-11-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sail-sg/autofd","path":"autofd/operators/transforms.py","file_url":"https://github.com/sail-sg/autofd/blob/HEAD/autofd/operators/transforms.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":"f12c821c31198760","mcp_get_code":{"code_sha256":"f12c821c31198760"}},{"arxiv_id":"1911.02116","paper":"/paper/unsupervised-cross-lingual-representation-1","title":"Unsupervised Cross-lingual Representation Learning at Scale","date":"2019-11-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"facebookresearch/cc_net","path":"cc_net/jsonql.py","file_url":"https://github.com/facebookresearch/cc_net/blob/HEAD/cc_net/jsonql.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":false,"code_sha256_prefix":"4bb30f62c8aa7df1","mcp_get_code":{"code_sha256":"4bb30f62c8aa7df1"}},{"arxiv_id":"1804.07729","paper":"/paper/adef-an-iterative-algorithm-to-construct","title":"ADef: an Iterative Algorithm to Construct Adversarial Deformations","date":"2018-04-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"MashmallowWoR/AdversarialDeformation","path":"deformation.py","file_url":"https://github.com/MashmallowWoR/AdversarialDeformation/blob/HEAD/deformation.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"31deacf1001ce267","mcp_get_code":{"code_sha256":"31deacf1001ce267"}},{"arxiv_id":"1803.01837","paper":"/paper/st-gan-spatial-transformer-generative","title":"ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing","date":"2018-03-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chenhsuanlin/spatial-transformer-GAN","path":"glasses/warp.py","file_url":"https://github.com/chenhsuanlin/spatial-transformer-GAN/blob/HEAD/glasses/warp.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"d333acbd22f1fd12","mcp_get_code":{"code_sha256":"d333acbd22f1fd12"}},{"arxiv_id":"1612.03897","paper":"/paper/inverse-compositional-spatial-transformer","title":"Inverse Compositional Spatial Transformer Networks","date":"2016-12-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chenhsuanlin/inverse-compositional-STN","path":"MNIST-pytorch/warp.py","file_url":"https://github.com/chenhsuanlin/inverse-compositional-STN/blob/HEAD/MNIST-pytorch/warp.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2c9f16bc5becd024","mcp_get_code":{"code_sha256":"2c9f16bc5becd024"}},{"arxiv_id":"1612.03897","paper":"/paper/inverse-compositional-spatial-transformer","title":"Inverse Compositional Spatial Transformer Networks","date":"2016-12-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chenhsuanlin/inverse-compositional-STN","path":"MNIST-tensorflow/warp.py","file_url":"https://github.com/chenhsuanlin/inverse-compositional-STN/blob/HEAD/MNIST-tensorflow/warp.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"596305e0db476c13","mcp_get_code":{"code_sha256":"596305e0db476c13"}},{"arxiv_id":"1512.03385","paper":"/paper/deep-residual-learning-for-image-recognition","title":"Deep Residual Learning for Image Recognition","date":"2015-12-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"oxygen0605/ImageClassification","path":"ResNet.py","file_url":"https://github.com/oxygen0605/ImageClassification/blob/HEAD/ResNet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3d95bd10a6ee954b","mcp_get_code":{"code_sha256":"3d95bd10a6ee954b"}}]}