{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DBQTCBAJLAL54IRTIAR2YUGKER","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":"e5f78a5307238c87f08f0969d5e3ee1e4de4fa26bf52cdcf15a3ea63058fc850","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T20:51:59Z","title_canon_sha256":"ab5d6eb74f16f4c6ac0951cdd965efb81bc5ed5856cac4caf929e6a974675ca7"},"schema_version":"1.0","source":{"id":"2509.00988","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00988","created_at":"2026-07-05T12:02:51Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00988v1","created_at":"2026-07-05T12:02:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00988","created_at":"2026-07-05T12:02:51Z"},{"alias_kind":"pith_short_12","alias_value":"DBQTCBAJLAL5","created_at":"2026-07-05T12:02:51Z"},{"alias_kind":"pith_short_16","alias_value":"DBQTCBAJLAL54IRT","created_at":"2026-07-05T12:02:51Z"},{"alias_kind":"pith_short_8","alias_value":"DBQTCBAJ","created_at":"2026-07-05T12:02:51Z"}],"graph_snapshots":[{"event_id":"sha256:63bc5842a0411db01013a37c52b133e7d44e0fee12fc531f475909cff06928dc","target":"graph","created_at":"2026-07-05T12:02:51Z","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/2509.00988/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic Speech Recognition (ASR) for Bengali, the world's fifth most spoken language, remains a significant challenge, critically hindering technological accessibility for its over 270 million speakers. This challenge is compounded by two persistent and intertwined factors: the language's vast dialectal diversity and the prevalence of acoustic noise in real-world environments. While state-of-the-art self-supervised learning (SSL) models have advanced ASR for low-resource languages, they often lack explicit mechanisms to handle environmental noise during pre-training or specialized adaptation","authors_text":"Imran, Swadhin Biswas, Tuhin Sheikh","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T20:51:59Z","title":"A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00988","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:f71e821db79787bda35de6c316e6cdcf3e8273701e40b19f38b9bcb0d7b7e72a","target":"record","created_at":"2026-07-05T12:02:51Z","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":"e5f78a5307238c87f08f0969d5e3ee1e4de4fa26bf52cdcf15a3ea63058fc850","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T20:51:59Z","title_canon_sha256":"ab5d6eb74f16f4c6ac0951cdd965efb81bc5ed5856cac4caf929e6a974675ca7"},"schema_version":"1.0","source":{"id":"2509.00988","kind":"arxiv","version":1}},"canonical_sha256":"18613104095817de22334023ac50ca2468ee2703d0a0fb4324871b9104bb1a9f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18613104095817de22334023ac50ca2468ee2703d0a0fb4324871b9104bb1a9f","first_computed_at":"2026-07-05T12:02:51.884237Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:51.884237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZkxU+e+Yof5LWm7see/5yn5rJgnQvA5wrVxcIB2DKIUwgLqv6gtrE0SLrehy4LuJ2Sn78r1vFtvMnF50QMA/Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:51.884768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.00988","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f71e821db79787bda35de6c316e6cdcf3e8273701e40b19f38b9bcb0d7b7e72a","sha256:63bc5842a0411db01013a37c52b133e7d44e0fee12fc531f475909cff06928dc"],"state_sha256":"d2c8d46821065f72fc0f6fa275e1566fa804436e8c4f5b35cabc9ebfb1b9ed56"}