{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GWLHTNWKARHIUGAFTYCEZG55NB","short_pith_number":"pith:GWLHTNWK","canonical_record":{"source":{"id":"2406.12931","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-06-16T10:49:21Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"2583ce5dd1a66d7d39ca4bb58cac16637e5fa1a11a2b0a0cbb11cb2b970b92da","abstract_canon_sha256":"d646104974a8123013304f9e99ad51c91a57c5298082da238ea41b599ef25381"},"schema_version":"1.0"},"canonical_sha256":"359679b6ca044e8a18059e044c9bbd685e091433b139b2dbd0b5e078d6cb411e","source":{"kind":"arxiv","id":"2406.12931","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12931","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12931v1","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12931","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"pith_short_12","alias_value":"GWLHTNWKARHI","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"pith_short_16","alias_value":"GWLHTNWKARHIUGAF","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"pith_short_8","alias_value":"GWLHTNWK","created_at":"2026-07-05T08:34:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GWLHTNWKARHIUGAFTYCEZG55NB","target":"record","payload":{"canonical_record":{"source":{"id":"2406.12931","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-06-16T10:49:21Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"2583ce5dd1a66d7d39ca4bb58cac16637e5fa1a11a2b0a0cbb11cb2b970b92da","abstract_canon_sha256":"d646104974a8123013304f9e99ad51c91a57c5298082da238ea41b599ef25381"},"schema_version":"1.0"},"canonical_sha256":"359679b6ca044e8a18059e044c9bbd685e091433b139b2dbd0b5e078d6cb411e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:22.698798Z","signature_b64":"I1UZ8yeuj2mLs9Z7IueTvf1PMBaaBX2I6wpQVak8IpaCcdyX8pq3EwGlLcygW5ki/Lwkw8UkHrj8bwphwu4aDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"359679b6ca044e8a18059e044c9bbd685e091433b139b2dbd0b5e078d6cb411e","last_reissued_at":"2026-07-05T08:34:22.698367Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:22.698367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.12931","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":"2026-07-05T08:34:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5KWJ/zSE0yyzROAC1/7X5IGxJkJNYBBqb/+mWpY30R3NzgJrlOG4YyZMpHA2LjUPGSmtzsY7/O78N44OHUUACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T17:16:09.961469Z"},"content_sha256":"d4b7172b0ecba846cb0d7586508307db61ecff3e5f9b912295d82ba9e5e93952","schema_version":"1.0","event_id":"sha256:d4b7172b0ecba846cb0d7586508307db61ecff3e5f9b912295d82ba9e5e93952"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GWLHTNWKARHIUGAFTYCEZG55NB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Speech Recognition for Biomedical Data in Bengali Language","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"eess.AS","authors_text":"Mamunur Rashid, Nazmun Nahar, Shariar Kabir, Shyamasree Saha","submitted_at":"2024-06-16T10:49:21Z","abstract_excerpt":"This paper presents the development of a prototype Automatic Speech Recognition (ASR) system specifically designed for Bengali biomedical data. Recent advancements in Bengali ASR are encouraging, but a lack of domain-specific data limits the creation of practical healthcare ASR models. This project bridges this gap by developing an ASR system tailored for Bengali medical terms like symptoms, severity levels, and diseases, encompassing two major dialects: Bengali and Sylheti. We train and evaluate two popular ASR frameworks on a comprehensive 46-hour Bengali medical corpus. Our core objective i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12931","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/2406.12931/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":"2026-07-05T08:34:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8xEr3GRrkelp9xEZpQ6VneKiIu0AW9IZXRl4AVYg48T6NrSQNyEl/TlGShtt4n/WUXAE8AjdNI+dWKx4Qm4/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T17:16:09.962051Z"},"content_sha256":"78c5b8a8f80ed9e035aff3d7a863d4ece62a98d4022a13d486d196467bd1d5cc","schema_version":"1.0","event_id":"sha256:78c5b8a8f80ed9e035aff3d7a863d4ece62a98d4022a13d486d196467bd1d5cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GWLHTNWKARHIUGAFTYCEZG55NB/bundle.json","state_url":"https://pith.science/pith/GWLHTNWKARHIUGAFTYCEZG55NB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GWLHTNWKARHIUGAFTYCEZG55NB/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":"2026-07-08T17:16:09Z","links":{"resolver":"https://pith.science/pith/GWLHTNWKARHIUGAFTYCEZG55NB","bundle":"https://pith.science/pith/GWLHTNWKARHIUGAFTYCEZG55NB/bundle.json","state":"https://pith.science/pith/GWLHTNWKARHIUGAFTYCEZG55NB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GWLHTNWKARHIUGAFTYCEZG55NB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GWLHTNWKARHIUGAFTYCEZG55NB","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":"d646104974a8123013304f9e99ad51c91a57c5298082da238ea41b599ef25381","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-06-16T10:49:21Z","title_canon_sha256":"2583ce5dd1a66d7d39ca4bb58cac16637e5fa1a11a2b0a0cbb11cb2b970b92da"},"schema_version":"1.0","source":{"id":"2406.12931","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12931","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12931v1","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12931","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"pith_short_12","alias_value":"GWLHTNWKARHI","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"pith_short_16","alias_value":"GWLHTNWKARHIUGAF","created_at":"2026-07-05T08:34:22Z"},{"alias_kind":"pith_short_8","alias_value":"GWLHTNWK","created_at":"2026-07-05T08:34:22Z"}],"graph_snapshots":[{"event_id":"sha256:78c5b8a8f80ed9e035aff3d7a863d4ece62a98d4022a13d486d196467bd1d5cc","target":"graph","created_at":"2026-07-05T08:34:22Z","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/2406.12931/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents the development of a prototype Automatic Speech Recognition (ASR) system specifically designed for Bengali biomedical data. Recent advancements in Bengali ASR are encouraging, but a lack of domain-specific data limits the creation of practical healthcare ASR models. This project bridges this gap by developing an ASR system tailored for Bengali medical terms like symptoms, severity levels, and diseases, encompassing two major dialects: Bengali and Sylheti. We train and evaluate two popular ASR frameworks on a comprehensive 46-hour Bengali medical corpus. Our core objective i","authors_text":"Mamunur Rashid, Nazmun Nahar, Shariar Kabir, Shyamasree Saha","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-06-16T10:49:21Z","title":"Automatic Speech Recognition for Biomedical Data in Bengali Language"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12931","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:d4b7172b0ecba846cb0d7586508307db61ecff3e5f9b912295d82ba9e5e93952","target":"record","created_at":"2026-07-05T08:34:22Z","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":"d646104974a8123013304f9e99ad51c91a57c5298082da238ea41b599ef25381","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-06-16T10:49:21Z","title_canon_sha256":"2583ce5dd1a66d7d39ca4bb58cac16637e5fa1a11a2b0a0cbb11cb2b970b92da"},"schema_version":"1.0","source":{"id":"2406.12931","kind":"arxiv","version":1}},"canonical_sha256":"359679b6ca044e8a18059e044c9bbd685e091433b139b2dbd0b5e078d6cb411e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"359679b6ca044e8a18059e044c9bbd685e091433b139b2dbd0b5e078d6cb411e","first_computed_at":"2026-07-05T08:34:22.698367Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:22.698367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I1UZ8yeuj2mLs9Z7IueTvf1PMBaaBX2I6wpQVak8IpaCcdyX8pq3EwGlLcygW5ki/Lwkw8UkHrj8bwphwu4aDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:22.698798Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12931","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4b7172b0ecba846cb0d7586508307db61ecff3e5f9b912295d82ba9e5e93952","sha256:78c5b8a8f80ed9e035aff3d7a863d4ece62a98d4022a13d486d196467bd1d5cc"],"state_sha256":"cbcdaa92e16cb3cabff8aab30076fe2d222473cf4a9ad0ae6fd93916c1c5e790"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8LLWDcbDHJE93NHk0nTu1cz6aZcExV1sPwZ93aMwjJBsoNIhzOUIjoVsaNk3l2oKFz/tIzfH1b7U4BsZW7XnBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T17:16:09.964631Z","bundle_sha256":"19bc3f5cd814efc5ef03732b4df397cbf3d18e907ed45a8c40b0a64ad6c707e1"}}