{"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/fusionnet","entry":"FusionNet","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":3,"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":3,"n_samples_fingerprinted":1,"n_places":5,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":3,"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":"2509.24332","paper":"/paper/arxiv-2509-24332","title":"Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning","date":null,"month_inferred_from_arxiv_id":"2025-09","title_source":"syntology","repo":"LSY-Cython/iMOOE","path":"models/framework.py","file_url":"https://github.com/LSY-Cython/iMOOE/blob/HEAD/models/framework.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"c2a2ea129544c4e3","mcp_get_code":{"code_sha256":"c2a2ea129544c4e3"}},{"arxiv_id":"2403.03077","paper":"/paper/mikasa-multi-key-anchor-scene-aware","title":"MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding","date":"2024-03-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dfki-av/mikasa-3dvg","path":"models/MiKASA_transformer.py","file_url":"https://github.com/dfki-av/mikasa-3dvg/blob/HEAD/models/MiKASA_transformer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"fbfaf9b85641a7d4","mcp_get_code":{"code_sha256":"fbfaf9b85641a7d4"}},{"arxiv_id":"2204.03353","paper":"/paper/learning-online-multi-sensor-depth-fusion","title":"Learning Online Multi-Sensor Depth Fusion","date":"2022-04-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tfy14esa/SenFuNet","path":"modules/model.py","file_url":"https://github.com/tfy14esa/SenFuNet/blob/HEAD/modules/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"4e89af0351de1222","mcp_get_code":{"code_sha256":"4e89af0351de1222"}},{"arxiv_id":"2103.07941","paper":"/paper/modular-interactive-video-object-segmentation","title":"Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion","date":"2021-03-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Vujas-Eteph/CiVOS","path":"inference_core.py","file_url":"https://github.com/Vujas-Eteph/CiVOS/blob/HEAD/inference_core.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"3d4477934fb35965","mcp_get_code":{"code_sha256":"3d4477934fb35965"}},{"arxiv_id":"2011.06294","paper":"/paper/rife-real-time-intermediate-flow-estimation","title":"RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation","date":"2020-11-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"amogh7joshi/media-vision","path":"mediavision/interpolate/rife/model.py","file_url":"https://github.com/amogh7joshi/media-vision/blob/HEAD/mediavision/interpolate/rife/model.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"de21f945abca7d64","mcp_get_code":{"code_sha256":"de21f945abca7d64"}}]}