{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QRGKLWZHNG2ZGUQ264E3PRZ2SC","short_pith_number":"pith:QRGKLWZH","schema_version":"1.0","canonical_sha256":"844ca5db2769b593521af709b7c73a90ac74ab477a466bb902985ee12e12eba3","source":{"kind":"arxiv","id":"2608.12703","version":1},"attestation_state":"computed","paper":{"title":"Alignment Drift in Single-Model Speculative Decoding for ASR: Mechanism, Correction, and Cost","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.SD","authors_text":"Alex Smola, Dongming Shen, Huapeng Zhou, Ke Bai, Silin Meng, Xiao-Wen Chang, Xinyu Wang, Ziyu Zhao","submitted_at":"2026-08-13T01:34:38Z","abstract_excerpt":"Speculative decoding speeds up generation by letting a cheap draft propose several tokens that a target model checks in one pass. In the single-model form, the draft is a lightweight module attached to the target rather than a separate model. Applying this design to Automatic Speech Recognition (ASR) introduces an extra problem. The draft can read the whole audio at every step, yet its proposals get worse as it runs on its own. Access is not localization. The accepted text keeps the transcript position explicit, but the draft must also track the changing audio position. In the primary matched "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.12703","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2026-08-13T01:34:38Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"749253a0cee0ebf60245645de5fdd53af69903f796c09a0d4d10328aebaea78f","abstract_canon_sha256":"3e01541c828480bdc0089b60049c4a7ce2a88a8ad1116fe97582328c0e2b7562"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T00:46:57.379070Z","signature_b64":"mdCyweISH84rrmpwmU/RG2/FVRQ4MB6SLHX0gJrSl9UaWi6dZi/4s8d3Jc+dgaRke2UkFXQPOqHjw5t2b5sdBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"844ca5db2769b593521af709b7c73a90ac74ab477a466bb902985ee12e12eba3","last_reissued_at":"2026-08-14T00:46:57.375450Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T00:46:57.375450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Alignment Drift in Single-Model Speculative Decoding for ASR: Mechanism, Correction, and Cost","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.SD","authors_text":"Alex Smola, Dongming Shen, Huapeng Zhou, Ke Bai, Silin Meng, Xiao-Wen Chang, Xinyu Wang, Ziyu Zhao","submitted_at":"2026-08-13T01:34:38Z","abstract_excerpt":"Speculative decoding speeds up generation by letting a cheap draft propose several tokens that a target model checks in one pass. In the single-model form, the draft is a lightweight module attached to the target rather than a separate model. Applying this design to Automatic Speech Recognition (ASR) introduces an extra problem. The draft can read the whole audio at every step, yet its proposals get worse as it runs on its own. Access is not localization. The accepted text keeps the transcript position explicit, but the draft must also track the changing audio position. In the primary matched "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12703","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/2608.12703/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.12703","created_at":"2026-08-14T00:46:57.376654+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.12703v1","created_at":"2026-08-14T00:46:57.376654+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12703","created_at":"2026-08-14T00:46:57.376654+00:00"},{"alias_kind":"pith_short_12","alias_value":"QRGKLWZHNG2Z","created_at":"2026-08-14T00:46:57.376654+00:00"},{"alias_kind":"pith_short_16","alias_value":"QRGKLWZHNG2ZGUQ2","created_at":"2026-08-14T00:46:57.376654+00:00"},{"alias_kind":"pith_short_8","alias_value":"QRGKLWZH","created_at":"2026-08-14T00:46:57.376654+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC","json":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC.json","graph_json":"https://pith.science/api/pith-number/QRGKLWZHNG2ZGUQ264E3PRZ2SC/graph.json","events_json":"https://pith.science/api/pith-number/QRGKLWZHNG2ZGUQ264E3PRZ2SC/events.json","paper":"https://pith.science/paper/QRGKLWZH"},"agent_actions":{"view_html":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC","download_json":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC.json","view_paper":"https://pith.science/paper/QRGKLWZH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.12703&json=true","fetch_graph":"https://pith.science/api/pith-number/QRGKLWZHNG2ZGUQ264E3PRZ2SC/graph.json","fetch_events":"https://pith.science/api/pith-number/QRGKLWZHNG2ZGUQ264E3PRZ2SC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC/action/storage_attestation","attest_author":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC/action/author_attestation","sign_citation":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC/action/citation_signature","submit_replication":"https://pith.science/pith/QRGKLWZHNG2ZGUQ264E3PRZ2SC/action/replication_record"}},"created_at":"2026-08-14T00:46:57.376654+00:00","updated_at":"2026-08-14T00:46:57.376654+00:00"}