{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2B3RZPAKBFE3ONQRPNJPA352IS","short_pith_number":"pith:2B3RZPAK","canonical_record":{"source":{"id":"2507.18181","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-24T08:27:53Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"6908ed0cf5df964a8d0c979e678ac2dfc540bc614be0bee905ccb62d97e230f9","abstract_canon_sha256":"c5e6adffca00703ba84342db84f392044401911ce669631ac4b2134706bca928"},"schema_version":"1.0"},"canonical_sha256":"d0771cbc0a0949b736117b52f06fba44b14e1b7dc58567fa9c4204761fd3290a","source":{"kind":"arxiv","id":"2507.18181","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18181","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18181v2","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18181","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"pith_short_12","alias_value":"2B3RZPAKBFE3","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"pith_short_16","alias_value":"2B3RZPAKBFE3ONQR","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"pith_short_8","alias_value":"2B3RZPAK","created_at":"2026-07-05T11:44:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2B3RZPAKBFE3ONQRPNJPA352IS","target":"record","payload":{"canonical_record":{"source":{"id":"2507.18181","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-24T08:27:53Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"6908ed0cf5df964a8d0c979e678ac2dfc540bc614be0bee905ccb62d97e230f9","abstract_canon_sha256":"c5e6adffca00703ba84342db84f392044401911ce669631ac4b2134706bca928"},"schema_version":"1.0"},"canonical_sha256":"d0771cbc0a0949b736117b52f06fba44b14e1b7dc58567fa9c4204761fd3290a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:11.088344Z","signature_b64":"+1zIBWCTFf7ZOisVSsedLZ433J+pp/6MsC/HozBOpI0yh6aqlCXy31zw422G0/bLsM071VzOgQR6s0s044kyCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0771cbc0a0949b736117b52f06fba44b14e1b7dc58567fa9c4204761fd3290a","last_reissued_at":"2026-07-05T11:44:11.087802Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:11.087802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.18181","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:44:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AcTlLza0Y2wbG2E9Je+WyVQrVq67zAsSZIKpNrg75LJ3Gs3jLoRZ5onOcKvS8z95MNGHQUXqEz2Lf+CF2dt7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:22:13.530662Z"},"content_sha256":"90aa939be408a5b33bc5c3287ffcca9c481991aee5835b38df3cfc8b2bf230f6","schema_version":"1.0","event_id":"sha256:90aa939be408a5b33bc5c3287ffcca9c481991aee5835b38df3cfc8b2bf230f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2B3RZPAKBFE3ONQRPNJPA352IS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Linye Wei, Meng Li, Ru Huang, Runsheng Wang, Shuzhang Zhong, Songqiang Xu","submitted_at":"2025-07-24T08:27:53Z","abstract_excerpt":"Large language model (LLM)-based automatic speech recognition (ASR) has recently attracted a lot of attention due to its high recognition accuracy and enhanced multi-dialect support. However, the high decoding latency of LLMs challenges the real-time ASR requirements. Although speculative decoding has been explored for better decoding efficiency, they usually ignore the key characteristics of the ASR task and achieve limited speedup. To further reduce the real-time ASR latency, in this paper, we propose a novel speculative decoding framework specialized for ASR, dubbed SpecASR. SpecASR is deve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18181","kind":"arxiv","version":2},"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/2507.18181/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":"2026-07-05T11:44:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QyFT9gg8uEXyxYXyFV2MJCmXgrtTVDfAIb0cZdU01Z9uf915I7mwOZiJFT5tRoTrPdjrxfwjZICXDMIetSFuAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:22:13.531181Z"},"content_sha256":"636d32c92fce794f006fc05a101bab471b68fb3afa41dac2a292e942ec65a3a5","schema_version":"1.0","event_id":"sha256:636d32c92fce794f006fc05a101bab471b68fb3afa41dac2a292e942ec65a3a5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2B3RZPAKBFE3ONQRPNJPA352IS/bundle.json","state_url":"https://pith.science/pith/2B3RZPAKBFE3ONQRPNJPA352IS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2B3RZPAKBFE3ONQRPNJPA352IS/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":"2026-08-06T20:22:13Z","links":{"resolver":"https://pith.science/pith/2B3RZPAKBFE3ONQRPNJPA352IS","bundle":"https://pith.science/pith/2B3RZPAKBFE3ONQRPNJPA352IS/bundle.json","state":"https://pith.science/pith/2B3RZPAKBFE3ONQRPNJPA352IS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2B3RZPAKBFE3ONQRPNJPA352IS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2B3RZPAKBFE3ONQRPNJPA352IS","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":"c5e6adffca00703ba84342db84f392044401911ce669631ac4b2134706bca928","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-24T08:27:53Z","title_canon_sha256":"6908ed0cf5df964a8d0c979e678ac2dfc540bc614be0bee905ccb62d97e230f9"},"schema_version":"1.0","source":{"id":"2507.18181","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18181","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18181v2","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18181","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"pith_short_12","alias_value":"2B3RZPAKBFE3","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"pith_short_16","alias_value":"2B3RZPAKBFE3ONQR","created_at":"2026-07-05T11:44:11Z"},{"alias_kind":"pith_short_8","alias_value":"2B3RZPAK","created_at":"2026-07-05T11:44:11Z"}],"graph_snapshots":[{"event_id":"sha256:636d32c92fce794f006fc05a101bab471b68fb3afa41dac2a292e942ec65a3a5","target":"graph","created_at":"2026-07-05T11:44:11Z","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/2507.18181/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language model (LLM)-based automatic speech recognition (ASR) has recently attracted a lot of attention due to its high recognition accuracy and enhanced multi-dialect support. However, the high decoding latency of LLMs challenges the real-time ASR requirements. Although speculative decoding has been explored for better decoding efficiency, they usually ignore the key characteristics of the ASR task and achieve limited speedup. To further reduce the real-time ASR latency, in this paper, we propose a novel speculative decoding framework specialized for ASR, dubbed SpecASR. SpecASR is deve","authors_text":"Linye Wei, Meng Li, Ru Huang, Runsheng Wang, Shuzhang Zhong, Songqiang Xu","cross_cats":["cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-24T08:27:53Z","title":"SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18181","kind":"arxiv","version":2},"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":"sha256:90aa939be408a5b33bc5c3287ffcca9c481991aee5835b38df3cfc8b2bf230f6","target":"record","created_at":"2026-07-05T11:44:11Z","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":"c5e6adffca00703ba84342db84f392044401911ce669631ac4b2134706bca928","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-24T08:27:53Z","title_canon_sha256":"6908ed0cf5df964a8d0c979e678ac2dfc540bc614be0bee905ccb62d97e230f9"},"schema_version":"1.0","source":{"id":"2507.18181","kind":"arxiv","version":2}},"canonical_sha256":"d0771cbc0a0949b736117b52f06fba44b14e1b7dc58567fa9c4204761fd3290a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0771cbc0a0949b736117b52f06fba44b14e1b7dc58567fa9c4204761fd3290a","first_computed_at":"2026-07-05T11:44:11.087802Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:11.087802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+1zIBWCTFf7ZOisVSsedLZ433J+pp/6MsC/HozBOpI0yh6aqlCXy31zw422G0/bLsM071VzOgQR6s0s044kyCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:11.088344Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.18181","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90aa939be408a5b33bc5c3287ffcca9c481991aee5835b38df3cfc8b2bf230f6","sha256:636d32c92fce794f006fc05a101bab471b68fb3afa41dac2a292e942ec65a3a5"],"state_sha256":"c2c1538afb49f8aa647b2d48c9eff028ae40aae97289c67690f59c820114cd2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/YXhcDh8sLNRKWQe8JPxPBMBXxz8qghemBs/aj+ovekoooJn4MKF9N0LM3AKGy+0nE9FAFh2iqChA5MDQJeNAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T20:22:13.536684Z","bundle_sha256":"01aad91a291a557744ffb0620a204472503a062f85b3c9f6743a06bfce3d7978"}}