{"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/int-tuple","entry":"int_tuple","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":3,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"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":"2408.09051","paper":"/paper/ai-assisted-super-resolution-cosmological-3","title":"AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations","date":null,"month_inferred_from_arxiv_id":"2024-08","title_source":"archive","repo":"xwzhang98/SREmulator","path":"map2map/map2map/args.py","file_url":"https://github.com/xwzhang98/SREmulator/blob/HEAD/map2map/map2map/args.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f7edc53fab359043","mcp_get_code":{"code_sha256":"f7edc53fab359043"}},{"arxiv_id":"2304.01529","paper":"/paper/iterativepfn-true-iterative-point-cloud","title":"IterativePFN: True Iterative Point Cloud Filtering","date":"2023-04-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ddsediri/IterativePFN","path":"utils/misc.py","file_url":"https://github.com/ddsediri/IterativePFN/blob/HEAD/utils/misc.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"970334367a29c358","mcp_get_code":{"code_sha256":"970334367a29c358"}},{"arxiv_id":"2111.14820","paper":"/paper/towards-robust-and-adaptive-motion","title":"Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective","date":"2021-11-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"vita-epfl/causalmotion","path":"spurious/utils.py","file_url":"https://github.com/vita-epfl/causalmotion/blob/HEAD/spurious/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c7a0b110ef7c5e03","mcp_get_code":{"code_sha256":"c7a0b110ef7c5e03"}},{"arxiv_id":"1909.05379","paper":"/paper/specifying-object-attributes-and-relations-in","title":"Specifying Object Attributes and Relations in Interactive Scene Generation","date":"2019-09-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ashual/scene_generation","path":"scene_generation/utils.py","file_url":"https://github.com/ashual/scene_generation/blob/HEAD/scene_generation/utils.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":"c7a0b110ef7c5e03","mcp_get_code":{"code_sha256":"c7a0b110ef7c5e03"}},{"arxiv_id":"1804.01622","paper":"/paper/image-generation-from-scene-graphs","title":"Image Generation from Scene Graphs","date":"2018-04-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"google/sg2im","path":"sg2im/utils.py","file_url":"https://github.com/google/sg2im/blob/HEAD/sg2im/utils.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":"c7a0b110ef7c5e03","mcp_get_code":{"code_sha256":"c7a0b110ef7c5e03"}},{"arxiv_id":"1803.10892","paper":"/paper/social-gan-socially-acceptable-trajectories","title":"Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks","date":"2018-03-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"agrimgupta92/sgan","path":"sgan/utils.py","file_url":"https://github.com/agrimgupta92/sgan/blob/HEAD/sgan/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c7a0b110ef7c5e03","mcp_get_code":{"code_sha256":"c7a0b110ef7c5e03"}}]}