{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AH47TWSEEKGMLG55OJ6LSC7H34","short_pith_number":"pith:AH47TWSE","canonical_record":{"source":{"id":"2502.10373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-14T18:51:40Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"360b78e341f76f245f69c3a254a37be2601b556ae81eb6d2cd673af0086b92ba","abstract_canon_sha256":"2620266af24133ac267fd2ec2f77e3a3e89a51553921ce78c44bb127de528e02"},"schema_version":"1.0"},"canonical_sha256":"01f9f9da44228cc59bbd727cb90be7df212a61c878c21721eceea7ad98b186ff","source":{"kind":"arxiv","id":"2502.10373","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.10373","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"arxiv_version","alias_value":"2502.10373v1","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.10373","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"pith_short_12","alias_value":"AH47TWSEEKGM","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"pith_short_16","alias_value":"AH47TWSEEKGMLG55","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"pith_short_8","alias_value":"AH47TWSE","created_at":"2026-07-05T10:14:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AH47TWSEEKGMLG55OJ6LSC7H34","target":"record","payload":{"canonical_record":{"source":{"id":"2502.10373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-14T18:51:40Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"360b78e341f76f245f69c3a254a37be2601b556ae81eb6d2cd673af0086b92ba","abstract_canon_sha256":"2620266af24133ac267fd2ec2f77e3a3e89a51553921ce78c44bb127de528e02"},"schema_version":"1.0"},"canonical_sha256":"01f9f9da44228cc59bbd727cb90be7df212a61c878c21721eceea7ad98b186ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:14:33.117760Z","signature_b64":"/C5S8qVripV+8Dd1nNjZwNCIpPvV+77PXIAE4f8VdZXfABs/MculBPyi6reqazOqhrs5i++VgabuCoCdoluMDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01f9f9da44228cc59bbd727cb90be7df212a61c878c21721eceea7ad98b186ff","last_reissued_at":"2026-07-05T10:14:33.117259Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:14:33.117259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.10373","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:14:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z9m0IIKZly+kHsQ1Rh4eNIBULVoMDu2MeisFr1gCJ8Dy6RlqY5/vczhsW2TNoeqaGWeEtAHm8KlviQOo10/hDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:10:11.812826Z"},"content_sha256":"5492637fd59ceeb6d7a94270c95f589cec64c995d55edda0d37894e03bde1222","schema_version":"1.0","event_id":"sha256:5492637fd59ceeb6d7a94270c95f589cec64c995d55edda0d37894e03bde1222"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AH47TWSEEKGMLG55OJ6LSC7H34","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.AS"],"primary_cat":"cs.CL","authors_text":"Brian Yan, Chao-Han Huck Yang, Jinchuan Tian, Shinji Watanabe, William Chen, Yifan Peng","submitted_at":"2025-02-14T18:51:40Z","abstract_excerpt":"Neural scaling laws offer valuable insights for designing robust sequence processing architectures. While these laws have been extensively characterized in other modalities, their behavior in speech remains comparatively underexplored. In this work, we introduce OWLS, an open-access, reproducible suite of multilingual speech recognition and translation models spanning 0.25B to 18B parameters, with the 18B version being the largest speech model, to the best of our knowledge. OWLS leverages up to 360K hours of public speech data across 150 languages, enabling a systematic investigation into how "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.10373","kind":"arxiv","version":1},"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/2502.10373/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":"2026-07-05T10:14:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V5GtCbdxyd7occhqv35xsLX/EWYiyGfHI1ge2ho4AYSp+u1wcXsRS9RZyO4/kL7Ri4MB4UWIYi++OvykE3g7BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:10:11.813379Z"},"content_sha256":"c1250b8ab422c3d3b2a5ef1786928463c13f5ff8105cbc01b4baa88253cd0c66","schema_version":"1.0","event_id":"sha256:c1250b8ab422c3d3b2a5ef1786928463c13f5ff8105cbc01b4baa88253cd0c66"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AH47TWSEEKGMLG55OJ6LSC7H34/bundle.json","state_url":"https://pith.science/pith/AH47TWSEEKGMLG55OJ6LSC7H34/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AH47TWSEEKGMLG55OJ6LSC7H34/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":"2026-08-08T01:10:11Z","links":{"resolver":"https://pith.science/pith/AH47TWSEEKGMLG55OJ6LSC7H34","bundle":"https://pith.science/pith/AH47TWSEEKGMLG55OJ6LSC7H34/bundle.json","state":"https://pith.science/pith/AH47TWSEEKGMLG55OJ6LSC7H34/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AH47TWSEEKGMLG55OJ6LSC7H34/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AH47TWSEEKGMLG55OJ6LSC7H34","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":"2620266af24133ac267fd2ec2f77e3a3e89a51553921ce78c44bb127de528e02","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-14T18:51:40Z","title_canon_sha256":"360b78e341f76f245f69c3a254a37be2601b556ae81eb6d2cd673af0086b92ba"},"schema_version":"1.0","source":{"id":"2502.10373","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.10373","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"arxiv_version","alias_value":"2502.10373v1","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.10373","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"pith_short_12","alias_value":"AH47TWSEEKGM","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"pith_short_16","alias_value":"AH47TWSEEKGMLG55","created_at":"2026-07-05T10:14:33Z"},{"alias_kind":"pith_short_8","alias_value":"AH47TWSE","created_at":"2026-07-05T10:14:33Z"}],"graph_snapshots":[{"event_id":"sha256:c1250b8ab422c3d3b2a5ef1786928463c13f5ff8105cbc01b4baa88253cd0c66","target":"graph","created_at":"2026-07-05T10:14:33Z","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/2502.10373/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural scaling laws offer valuable insights for designing robust sequence processing architectures. While these laws have been extensively characterized in other modalities, their behavior in speech remains comparatively underexplored. In this work, we introduce OWLS, an open-access, reproducible suite of multilingual speech recognition and translation models spanning 0.25B to 18B parameters, with the 18B version being the largest speech model, to the best of our knowledge. OWLS leverages up to 360K hours of public speech data across 150 languages, enabling a systematic investigation into how ","authors_text":"Brian Yan, Chao-Han Huck Yang, Jinchuan Tian, Shinji Watanabe, William Chen, Yifan Peng","cross_cats":["cs.AI","cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-14T18:51:40Z","title":"OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.10373","kind":"arxiv","version":1},"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":"sha256:5492637fd59ceeb6d7a94270c95f589cec64c995d55edda0d37894e03bde1222","target":"record","created_at":"2026-07-05T10:14:33Z","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":"2620266af24133ac267fd2ec2f77e3a3e89a51553921ce78c44bb127de528e02","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-14T18:51:40Z","title_canon_sha256":"360b78e341f76f245f69c3a254a37be2601b556ae81eb6d2cd673af0086b92ba"},"schema_version":"1.0","source":{"id":"2502.10373","kind":"arxiv","version":1}},"canonical_sha256":"01f9f9da44228cc59bbd727cb90be7df212a61c878c21721eceea7ad98b186ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01f9f9da44228cc59bbd727cb90be7df212a61c878c21721eceea7ad98b186ff","first_computed_at":"2026-07-05T10:14:33.117259Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:33.117259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/C5S8qVripV+8Dd1nNjZwNCIpPvV+77PXIAE4f8VdZXfABs/MculBPyi6reqazOqhrs5i++VgabuCoCdoluMDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:33.117760Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.10373","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5492637fd59ceeb6d7a94270c95f589cec64c995d55edda0d37894e03bde1222","sha256:c1250b8ab422c3d3b2a5ef1786928463c13f5ff8105cbc01b4baa88253cd0c66"],"state_sha256":"5431bc349b714234c6eb6e934e477f030b0f0d6167d226ca457261bced0e8b2a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3h0/ucuy/M0jXZHio858ctiitWgUVGwZYF/wDDYIcHXgXN6fLHJSsxHmSGgqgIZAThuhMVR03mJF5n8NGHsHBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T01:10:11.817066Z","bundle_sha256":"3aaf97ab78a18817d0688df3048f6b578b05291c1047cca7af8de8aae08b5f25"}}