{"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/downsample1d","entry":"Downsample1d","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":4,"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":4,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":4,"unverified":1},"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":"2509.25822","paper":"/paper/arxiv-2509-25822","title":"Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies","date":null,"month_inferred_from_arxiv_id":"2025-09","title_source":"syntology","repo":"ARISE-Initiative/robomimic","path":"robomimic/models/diffusion_policy_nets.py","file_url":"https://github.com/ARISE-Initiative/robomimic/blob/HEAD/robomimic/models/diffusion_policy_nets.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b7081ecf4384a31d","mcp_get_code":{"code_sha256":"b7081ecf4384a31d"}},{"arxiv_id":"2502.07202","paper":"/paper/monte-carlo-tree-diffusion-for-system-2","title":"Monte Carlo Tree Diffusion for System 2 Planning","date":"2025-02-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"changchencc/plandq","path":"antmaze/diffuser/models/temporal.py","file_url":"https://github.com/changchencc/plandq/blob/HEAD/antmaze/diffuser/models/temporal.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"130e7342adc88b86","mcp_get_code":{"code_sha256":"130e7342adc88b86"}},{"arxiv_id":"2403.02782","paper":"/paper/why-not-use-your-textbook-knowledge-enhanced","title":"Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos","date":"2024-03-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Ravindu-Yasas-Nagasinghe/KEPP","path":"plan/model/temporal.py","file_url":"https://github.com/Ravindu-Yasas-Nagasinghe/KEPP/blob/HEAD/plan/model/temporal.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"30ad7113f44d5d75","mcp_get_code":{"code_sha256":"30ad7113f44d5d75"}},{"arxiv_id":"2402.07226","paper":"/paper/stitching-sub-trajectories-with-conditional","title":"Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL","date":"2024-02-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rlatjddbs/SSD","path":"dc/dc.py","file_url":"https://github.com/rlatjddbs/SSD/blob/HEAD/dc/dc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"52a4fe52c83d4acb","mcp_get_code":{"code_sha256":"52a4fe52c83d4acb"}},{"arxiv_id":"2305.01319","paper":"/paper/long-term-rhythmic-video-soundtracker","title":"Long-Term Rhythmic Video Soundtracker","date":"2023-05-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"opengvlab/loris","path":"audio_diffusion_pytorch/modules.py","file_url":"https://github.com/opengvlab/loris/blob/HEAD/audio_diffusion_pytorch/modules.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"67b09f21213eff49","mcp_get_code":{"code_sha256":"67b09f21213eff49"}}]}