{"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/backward","entry":"Backward","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":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":3,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":2,"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":"2401.07139","paper":"/paper/deep-blind-super-resolution-for-satellite","title":"Deep Blind Super-Resolution for Satellite Video","date":"2024-01-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xy-boy/blind-satellite-vsr","path":"model/flow_pwc.py","file_url":"https://github.com/xy-boy/blind-satellite-vsr/blob/HEAD/model/flow_pwc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8509275d3bfff1d0","mcp_get_code":{"code_sha256":"8509275d3bfff1d0"}},{"arxiv_id":"2112.05150","paper":"/paper/deep-recurrent-neural-network-with-multi","title":"Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring","date":"2021-12-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xjtu-cvlab-lowlevel/rnn-mbp","path":"model/flow_pwc.py","file_url":"https://github.com/xjtu-cvlab-lowlevel/rnn-mbp/blob/HEAD/model/flow_pwc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8509275d3bfff1d0","mcp_get_code":{"code_sha256":"8509275d3bfff1d0"}},{"arxiv_id":"2008.04237","paper":"/paper/self-supervised-learning-of-audio-visual","title":"Self-Supervised Learning of Audio-Visual Objects from Video","date":"2020-08-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"afourast/avobjects","path":"flow/pwcnet.py","file_url":"https://github.com/afourast/avobjects/blob/HEAD/flow/pwcnet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"69a7d0834579bdbd","mcp_get_code":{"code_sha256":"69a7d0834579bdbd"}},{"arxiv_id":"2006.13240","paper":"/paper/neural-non-rigid-tracking","title":"Neural Non-Rigid Tracking","date":"2020-06-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"DeformableFriends/NeuralTracking","path":"model/pwcnet.py","file_url":"https://github.com/DeformableFriends/NeuralTracking/blob/HEAD/model/pwcnet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b453aa873616e1b8","mcp_get_code":{"code_sha256":"b453aa873616e1b8"}},{"arxiv_id":"2004.02501","paper":"/paper/cascaded-deep-video-deblurring-using-temporal","title":"Cascaded Deep Video Deblurring Using Temporal Sharpness Prior","date":"2020-04-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"csbhr/CDVD-TSP","path":"code/model/flow_pwc.py","file_url":"https://github.com/csbhr/CDVD-TSP/blob/HEAD/code/model/flow_pwc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8509275d3bfff1d0","mcp_get_code":{"code_sha256":"8509275d3bfff1d0"}},{"arxiv_id":"2003.04716","paper":"/paper/deep-blind-video-super-resolution","title":"Deep Blind Video Super-resolution","date":"2020-03-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"csbhr/Deep-Blind-VSR","path":"code/model/flow_pwc.py","file_url":"https://github.com/csbhr/Deep-Blind-VSR/blob/HEAD/code/model/flow_pwc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8509275d3bfff1d0","mcp_get_code":{"code_sha256":"8509275d3bfff1d0"}}]}