{"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/median-filter","entry":"median_filter","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":7,"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":6,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":5},"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":"2604.13073","paper":"/paper/arxiv-2604-13073","title":"OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs","date":null,"month_inferred_from_arxiv_id":"2026-04","title_source":"syntology","repo":"openai/whisper","path":"whisper/timing.py","file_url":"https://github.com/openai/whisper/blob/HEAD/whisper/timing.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6e70207ad77f0ae6","mcp_get_code":{"code_sha256":"6e70207ad77f0ae6"}},{"arxiv_id":"2603.16576","paper":"/paper/arxiv-2603-16576","title":"REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models","date":null,"month_inferred_from_arxiv_id":"2026-03","title_source":"syntology","repo":"Imfatnoily/REFORGE","path":"Stroke_Simulation.py","file_url":"https://github.com/Imfatnoily/REFORGE/blob/HEAD/Stroke_Simulation.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b7826ebc6e3ecd8d","mcp_get_code":{"code_sha256":"b7826ebc6e3ecd8d"}},{"arxiv_id":"2603.02913","paper":"/paper/arxiv-2603-02913","title":"Eliciting Numerical Predictive Distributions of LLMs Without Autoregression","date":null,"month_inferred_from_arxiv_id":"2026-03","title_source":"syntology","repo":"kasia-kobalczyk/guess_llm","path":"src/guess_llm/datasets/generate_splits.py","file_url":"https://github.com/kasia-kobalczyk/guess_llm/blob/HEAD/src/guess_llm/datasets/generate_splits.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"b3247d5f7c558be7","mcp_get_code":{"code_sha256":"b3247d5f7c558be7"}},{"arxiv_id":"2408.07919","paper":"/paper/advancing-multi-grained-alignment-for","title":"Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-training","date":"2024-08-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ming-er/mga-clap","path":"zero_shot_grounding.py","file_url":"https://github.com/ming-er/mga-clap/blob/HEAD/zero_shot_grounding.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"bdd9d19a6f1c01cd","mcp_get_code":{"code_sha256":"bdd9d19a6f1c01cd"}},{"arxiv_id":"2406.10082","paper":"/paper/whisper-flamingo-integrating-visual-features","title":"Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation","date":"2024-06-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"roudimit/whisper-flamingo","path":"whisper/timing.py","file_url":"https://github.com/roudimit/whisper-flamingo/blob/HEAD/whisper/timing.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"6e70207ad77f0ae6","mcp_get_code":{"code_sha256":"6e70207ad77f0ae6"}},{"arxiv_id":"2212.04356","paper":"/paper/robust-speech-recognition-via-large-scale-1","title":"Robust Speech Recognition via Large-Scale Weak Supervision","date":"2022-12-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kadirnar/whisper-plus","path":"whisperplus/pipelines/lightning_whisper_mlx/timing.py","file_url":"https://github.com/kadirnar/whisper-plus/blob/HEAD/whisperplus/pipelines/lightning_whisper_mlx/timing.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":"6f669ba80cbbf823","mcp_get_code":{"code_sha256":"6f669ba80cbbf823"}},{"arxiv_id":"1802.06816","paper":"/paper/shield-fast-practical-defense-and-vaccination","title":"Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression","date":"2018-02-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"poloclub/jpeg-defense","path":"shield/utils/defenses.py","file_url":"https://github.com/poloclub/jpeg-defense/blob/HEAD/shield/utils/defenses.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"4f75328fa7d45fe6","mcp_get_code":{"code_sha256":"4f75328fa7d45fe6"}}]}