{"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/topk-sampling","entry":"topk_sampling","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":8,"n_papers_ran":7,"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":4,"n_samples_ran":3,"n_samples_fingerprinted":1,"n_places":8,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":3,"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":"2607.10661","paper":"/paper/arxiv-2607-10661","title":"Unlocking Parallelism in Autoregressive Language Models via Speculative Decoding with Progressive Tree Drafting","date":null,"month_inferred_from_arxiv_id":"2026-07","title_source":"syntology","repo":"MINE-USTC/PTD","path":"tree_draft/decode_strategy/utils.py","file_url":"https://github.com/MINE-USTC/PTD/blob/HEAD/tree_draft/decode_strategy/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"5a1733d144a87bd6","mcp_get_code":{"code_sha256":"5a1733d144a87bd6"}},{"arxiv_id":"2409.07556","paper":"/paper/ssr-speech-towards-stable-safe-and-robust","title":"SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis","date":"2024-09-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"WangHelin1997/SSR-Speech","path":"models/ssr.py","file_url":"https://github.com/WangHelin1997/SSR-Speech/blob/HEAD/models/ssr.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"fb8e21d446dcf26f","mcp_get_code":{"code_sha256":"fb8e21d446dcf26f"}},{"arxiv_id":"2409.05356","paper":"/paper/indicvoices-r-unlocking-a-massive","title":"IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS","date":"2024-09-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ai4bharat/indicvoices-r","path":"VoiceCraft/models/voicecraft.py","file_url":"https://github.com/ai4bharat/indicvoices-r/blob/HEAD/VoiceCraft/models/voicecraft.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"CC-BY-4.0","inline_ok":false,"code_sha256_prefix":"fb8e21d446dcf26f","mcp_get_code":{"code_sha256":"fb8e21d446dcf26f"}},{"arxiv_id":"2403.16973","paper":"/paper/voicecraft-zero-shot-speech-editing-and-text","title":"VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild","date":"2024-03-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jasonppy/voicecraft","path":"models/voicecraft.py","file_url":"https://github.com/jasonppy/voicecraft/blob/HEAD/models/voicecraft.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"fb8e21d446dcf26f","mcp_get_code":{"code_sha256":"fb8e21d446dcf26f"}},{"arxiv_id":"2308.16692","paper":"/paper/speechtokenizer-unified-speech-tokenizer-for","title":"SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models","date":"2023-08-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"0nutation/uslm","path":"models/valle.py","file_url":"https://github.com/0nutation/uslm/blob/HEAD/models/valle.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"fb8e21d446dcf26f","mcp_get_code":{"code_sha256":"fb8e21d446dcf26f"}},{"arxiv_id":"2306.05284","paper":"/paper/simple-and-controllable-music-generation","title":"Simple and Controllable Music Generation","date":"2023-06-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"theodorblackbird/lina-speech","path":"model/lina.py","file_url":"https://github.com/theodorblackbird/lina-speech/blob/HEAD/model/lina.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"9c43cea8408f44fb","mcp_get_code":{"code_sha256":"9c43cea8408f44fb"}},{"arxiv_id":"2303.03926","paper":"/paper/speak-foreign-languages-with-your-own-voice","title":"Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling","date":"2023-03-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"plachtaa/vall-e-x","path":"models/vallex.py","file_url":"https://github.com/plachtaa/vall-e-x/blob/HEAD/models/vallex.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"660baece3071187f","mcp_get_code":{"code_sha256":"660baece3071187f"}},{"arxiv_id":"2301.02111","paper":"/paper/neural-codec-language-models-are-zero-shot","title":"Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers","date":"2023-01-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lifeiteng/vall-e","path":"valle/models/valle.py","file_url":"https://github.com/lifeiteng/vall-e/blob/HEAD/valle/models/valle.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"fb8e21d446dcf26f","mcp_get_code":{"code_sha256":"fb8e21d446dcf26f"}}]}