{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SCYRTUYV2QGBTB646Q4CUR3NKF","short_pith_number":"pith:SCYRTUYV","canonical_record":{"source":{"id":"2308.11596","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-22T17:44:18Z","cross_cats_sorted":[],"title_canon_sha256":"cc7e742c2e3223432f63e81263acb386561b99e714b8eb95eb885f47bf9ef751","abstract_canon_sha256":"e88c71c480635fdc8d5b45a94b560d0b666f43fbe9971094984418005424b3dc"},"schema_version":"1.0"},"canonical_sha256":"90b119d315d40c1987dcf4382a476d5147b12d1828c98c906fc68f2299cdaf38","source":{"kind":"arxiv","id":"2308.11596","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.11596","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"arxiv_version","alias_value":"2308.11596v3","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.11596","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"pith_short_12","alias_value":"SCYRTUYV2QGB","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"pith_short_16","alias_value":"SCYRTUYV2QGBTB64","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"pith_short_8","alias_value":"SCYRTUYV","created_at":"2026-07-05T07:04:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SCYRTUYV2QGBTB646Q4CUR3NKF","target":"record","payload":{"canonical_record":{"source":{"id":"2308.11596","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-22T17:44:18Z","cross_cats_sorted":[],"title_canon_sha256":"cc7e742c2e3223432f63e81263acb386561b99e714b8eb95eb885f47bf9ef751","abstract_canon_sha256":"e88c71c480635fdc8d5b45a94b560d0b666f43fbe9971094984418005424b3dc"},"schema_version":"1.0"},"canonical_sha256":"90b119d315d40c1987dcf4382a476d5147b12d1828c98c906fc68f2299cdaf38","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:04:50.225606Z","signature_b64":"ooCSW5Mvtp0muk9rmKgk5giq6M/34Psjd6HzAlbKJyuNJ0il5/gmwzPXfGsjITXFMs+Hexy2+Ss08B9gIGyiCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90b119d315d40c1987dcf4382a476d5147b12d1828c98c906fc68f2299cdaf38","last_reissued_at":"2026-07-05T07:04:50.225127Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:04:50.225127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.11596","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:04:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xiscPID3kRWvtLplkha8SJi9rwjc++GySqLsmd4ywGCmDvHdyOfWtfPlS/tGm4xss8Fh0Z0EOiydE/Z9aH3MAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:42:23.979712Z"},"content_sha256":"8f9d338a872a4f7dc00781db1a31ddcbc43bcb24943d8c47640e9ee53a09286e","schema_version":"1.0","event_id":"sha256:8f9d338a872a4f7dc00781db1a31ddcbc43bcb24943d8c47640e9ee53a09286e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SCYRTUYV2QGBTB646Q4CUR3NKF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SeamlessM4T: Massively Multilingual & Multimodal Machine Translation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abinesh Ramakrishnan, Alexandre Mourachko, Alice Rakotoarison, Amanda Kallet, Anna Sun, Ann Lee, Bapi Akula, Benjamin Peloquin, Bernie Huang, Bokai Yu, Brian Ellis, Can Balioglu, Carleigh Wood, Changhan Wang, Christopher Klaiber, Christophe Ropers, Cynthia Gao, Daniel Li, Daniel Licht, David Dale, Elahe Kalbassi, Ethan Ye, Francisco Guzm\\'an, Gabriel Mejia Gonzalez, Guillaume Wenzek, Hady Elsahar, Hirofumi Inaguma, Holger Schwenk, Hongyu Gong, Igor Tufanov, Ilia Kulikov, Janice Lam, Jean Maillard, Jeff Wang, John Hoffman, Juan Pino, Justine Kao, Justin Haaheim, Kaushik Ram Sadagopan, Kevin Heffernan, Kevin Tran, Lo\\\"ic Barrault, Maha Elbayad, Mariano Cora Meglioli, Marta R. Costa-juss\\`a, Min-Jae Hwang, Mohamed Ramadan, Naji El Hachem, Ning Dong, Onur Celebi, Paden Tomasello, Paul-Ambroise Duquenne, Peng-Jen Chen, Pengwei Li, Pierre Andrews, Prangthip Hansanti, Ruslan Mavlyutov, Russ Howes, Safiyyah Saleem, Seamless Communication, Skyler Wang, Somya Jain, Sravya Popuri, Tuan Tran, Vish Vogeti, Xutai Ma, Yilin Yang, Yu-An Chung","submitted_at":"2023-08-22T17:44:18Z","abstract_excerpt":"What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed machine translation coverage beyond 200 languages, unified speech-to-speech translation models have yet to achieve similar strides. More specifically, conventional speech-to-speech translation systems rely on cascaded systems that perform translation progressively, putting high-performing unified systems out of reach. To address these gaps, we introduce SeamlessM4T, a single model that supports speech-to-speech tran"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.11596","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.11596/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:04:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fw6suY20reNlzSTzgpgtQF2sdSSrQoC74gx7AWYjVUo9fHlymjKxVZ9cRQJmkWNcZtp5Tbjt9ghYqAqhAr2JBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:42:23.980095Z"},"content_sha256":"ce1ee11dd1869f999b5456be3039278568cdc059f5a77387a24baf827c9b6cec","schema_version":"1.0","event_id":"sha256:ce1ee11dd1869f999b5456be3039278568cdc059f5a77387a24baf827c9b6cec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SCYRTUYV2QGBTB646Q4CUR3NKF/bundle.json","state_url":"https://pith.science/pith/SCYRTUYV2QGBTB646Q4CUR3NKF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SCYRTUYV2QGBTB646Q4CUR3NKF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T17:42:23Z","links":{"resolver":"https://pith.science/pith/SCYRTUYV2QGBTB646Q4CUR3NKF","bundle":"https://pith.science/pith/SCYRTUYV2QGBTB646Q4CUR3NKF/bundle.json","state":"https://pith.science/pith/SCYRTUYV2QGBTB646Q4CUR3NKF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SCYRTUYV2QGBTB646Q4CUR3NKF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SCYRTUYV2QGBTB646Q4CUR3NKF","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e88c71c480635fdc8d5b45a94b560d0b666f43fbe9971094984418005424b3dc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-22T17:44:18Z","title_canon_sha256":"cc7e742c2e3223432f63e81263acb386561b99e714b8eb95eb885f47bf9ef751"},"schema_version":"1.0","source":{"id":"2308.11596","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.11596","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"arxiv_version","alias_value":"2308.11596v3","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.11596","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"pith_short_12","alias_value":"SCYRTUYV2QGB","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"pith_short_16","alias_value":"SCYRTUYV2QGBTB64","created_at":"2026-07-05T07:04:50Z"},{"alias_kind":"pith_short_8","alias_value":"SCYRTUYV","created_at":"2026-07-05T07:04:50Z"}],"graph_snapshots":[{"event_id":"sha256:ce1ee11dd1869f999b5456be3039278568cdc059f5a77387a24baf827c9b6cec","target":"graph","created_at":"2026-07-05T07:04:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2308.11596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed machine translation coverage beyond 200 languages, unified speech-to-speech translation models have yet to achieve similar strides. More specifically, conventional speech-to-speech translation systems rely on cascaded systems that perform translation progressively, putting high-performing unified systems out of reach. To address these gaps, we introduce SeamlessM4T, a single model that supports speech-to-speech tran","authors_text":"Abinesh Ramakrishnan, Alexandre Mourachko, Alice Rakotoarison, Amanda Kallet, Anna Sun, Ann Lee, Bapi Akula, Benjamin Peloquin, Bernie Huang, Bokai Yu, Brian Ellis, Can Balioglu, Carleigh Wood, Changhan Wang, Christopher Klaiber, Christophe Ropers, Cynthia Gao, Daniel Li, Daniel Licht, David Dale, Elahe Kalbassi, Ethan Ye, Francisco Guzm\\'an, Gabriel Mejia Gonzalez, Guillaume Wenzek, Hady Elsahar, Hirofumi Inaguma, Holger Schwenk, Hongyu Gong, Igor Tufanov, Ilia Kulikov, Janice Lam, Jean Maillard, Jeff Wang, John Hoffman, Juan Pino, Justine Kao, Justin Haaheim, Kaushik Ram Sadagopan, Kevin Heffernan, Kevin Tran, Lo\\\"ic Barrault, Maha Elbayad, Mariano Cora Meglioli, Marta R. Costa-juss\\`a, Min-Jae Hwang, Mohamed Ramadan, Naji El Hachem, Ning Dong, Onur Celebi, Paden Tomasello, Paul-Ambroise Duquenne, Peng-Jen Chen, Pengwei Li, Pierre Andrews, Prangthip Hansanti, Ruslan Mavlyutov, Russ Howes, Safiyyah Saleem, Seamless Communication, Skyler Wang, Somya Jain, Sravya Popuri, Tuan Tran, Vish Vogeti, Xutai Ma, Yilin Yang, Yu-An Chung","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-22T17:44:18Z","title":"SeamlessM4T: Massively Multilingual & Multimodal Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.11596","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8f9d338a872a4f7dc00781db1a31ddcbc43bcb24943d8c47640e9ee53a09286e","target":"record","created_at":"2026-07-05T07:04:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"e88c71c480635fdc8d5b45a94b560d0b666f43fbe9971094984418005424b3dc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-22T17:44:18Z","title_canon_sha256":"cc7e742c2e3223432f63e81263acb386561b99e714b8eb95eb885f47bf9ef751"},"schema_version":"1.0","source":{"id":"2308.11596","kind":"arxiv","version":3}},"canonical_sha256":"90b119d315d40c1987dcf4382a476d5147b12d1828c98c906fc68f2299cdaf38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90b119d315d40c1987dcf4382a476d5147b12d1828c98c906fc68f2299cdaf38","first_computed_at":"2026-07-05T07:04:50.225127Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:50.225127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ooCSW5Mvtp0muk9rmKgk5giq6M/34Psjd6HzAlbKJyuNJ0il5/gmwzPXfGsjITXFMs+Hexy2+Ss08B9gIGyiCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:50.225606Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.11596","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f9d338a872a4f7dc00781db1a31ddcbc43bcb24943d8c47640e9ee53a09286e","sha256:ce1ee11dd1869f999b5456be3039278568cdc059f5a77387a24baf827c9b6cec"],"state_sha256":"f982f3149d1a9712670e2af9ca0a880ad7da2dbc64fe3970481c4d9906d14e79"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nC1T0QHQVT6jnBLfNYHCzSmzZnQx551VgK2Q59p+jAuppk2ogztzgrOTX6O4sEyjQK2OEnDHHYztPg2+Aw2zDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:42:23.982180Z","bundle_sha256":"03cb107dadfea13e4ffabc7f93e854792d8d1a69f1466f6b2389b6da29ab2f8c"}}