{"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/bitparm","entry":"Bitparm","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":5,"n_samples_ran":5,"n_samples_fingerprinted":3,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":5,"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":"2502.20762","paper":"/paper/towards-practical-real-time-neural-video","title":"Towards Practical Real-Time Neural Video Compression","date":"2025-02-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"microsoft/DCVC","path":"DCVC-family/DCVC-RT/src/models/video_model.py","file_url":"https://github.com/microsoft/DCVC/blob/HEAD/DCVC-family/DCVC-RT/src/models/video_model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"10192b8edda5270f","mcp_get_code":{"code_sha256":"10192b8edda5270f"}},{"arxiv_id":"2402.17414","paper":"/paper/neural-video-compression-with-feature","title":"Neural Video Compression with Feature Modulation","date":"2024-02-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"microsoft/dcvc","path":"DCVC-family/DCVC-FM/src/models/video_model.py","file_url":"https://github.com/microsoft/dcvc/blob/HEAD/DCVC-family/DCVC-FM/src/models/video_model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"c4a3ec7db0af2724","mcp_get_code":{"code_sha256":"c4a3ec7db0af2724"}},{"arxiv_id":"2302.05071","paper":"/paper/evc-towards-real-time-neural-image","title":"EVC: Towards Real-Time Neural Image Compression with Mask Decay","date":"2023-02-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"microsoft/dcvc","path":"DCVC-family/EVC/src/models/image_model.py","file_url":"https://github.com/microsoft/dcvc/blob/HEAD/DCVC-family/EVC/src/models/image_model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"540aafd221daec6c","mcp_get_code":{"code_sha256":"540aafd221daec6c"}},{"arxiv_id":"2109.15047","paper":"/paper/deep-contextual-video-compression","title":"Deep Contextual Video Compression","date":"2021-09-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"DeepMC-DCVC/DCVC","path":"src/models/DCVC_net.py","file_url":"https://github.com/DeepMC-DCVC/DCVC/blob/HEAD/src/models/DCVC_net.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"c8ca4619802af671","mcp_get_code":{"code_sha256":"c8ca4619802af671"}},{"arxiv_id":"2105.09600","paper":"/paper/fvc-a-new-framework-towards-deep-video","title":"FVC: A New Framework towards Deep Video Compression in Feature Space","date":"2021-05-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhihaohu/pytorchvideocompression","path":"FVC/net.py","file_url":"https://github.com/zhihaohu/pytorchvideocompression/blob/HEAD/FVC/net.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ce3ca60159184ae7","mcp_get_code":{"code_sha256":"ce3ca60159184ae7"}}]}