{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DFFBKNCS74UWQJM5JSZ425ZTMJ","short_pith_number":"pith:DFFBKNCS","canonical_record":{"source":{"id":"2512.16189","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-12-18T05:23:47Z","cross_cats_sorted":[],"title_canon_sha256":"491c80223696ba067f5bb20e8f64bc520f302e764c8d0f1331c6f60d9d62f881","abstract_canon_sha256":"600527de21dc5028fdd04c99d433739166d572666deccc942e407da2e10dd3e8"},"schema_version":"1.0"},"canonical_sha256":"194a153452ff2968259d4cb3cd773362740a8f64934534b4761f3229cfa075db","source":{"kind":"arxiv","id":"2512.16189","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.16189","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"arxiv_version","alias_value":"2512.16189v3","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.16189","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_12","alias_value":"DFFBKNCS74UW","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_16","alias_value":"DFFBKNCS74UWQJM5","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_8","alias_value":"DFFBKNCS","created_at":"2026-05-26T01:03:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DFFBKNCS74UWQJM5JSZ425ZTMJ","target":"record","payload":{"canonical_record":{"source":{"id":"2512.16189","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-12-18T05:23:47Z","cross_cats_sorted":[],"title_canon_sha256":"491c80223696ba067f5bb20e8f64bc520f302e764c8d0f1331c6f60d9d62f881","abstract_canon_sha256":"600527de21dc5028fdd04c99d433739166d572666deccc942e407da2e10dd3e8"},"schema_version":"1.0"},"canonical_sha256":"194a153452ff2968259d4cb3cd773362740a8f64934534b4761f3229cfa075db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:20.664677Z","signature_b64":"TMUvHxfECVWmMGlXREDMgJoZyW5z/4iB4EmKvSAip39cuq/j0zSeWD70Sd5Q/HNUjRVsq3+D+oJ51Sn3asW9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"194a153452ff2968259d4cb3cd773362740a8f64934534b4761f3229cfa075db","last_reissued_at":"2026-05-26T01:03:20.663784Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:20.663784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2512.16189","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-26T01:03:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mSinHz/GQN4M0WpA3hDp/j9FpUwd4TRwwIyNH2d+VEs2C/eZLpU+RGECvn81QbnatRC7ZyG/UdwMNEts9Ze3AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T01:54:21.704294Z"},"content_sha256":"03c8d869f516de4afb7984b99e24602dfa342b0965fb898da7a3ba222eb2fbf2","schema_version":"1.0","event_id":"sha256:03c8d869f516de4afb7984b99e24602dfa342b0965fb898da7a3ba222eb2fbf2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DFFBKNCS74UWQJM5JSZ425ZTMJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mitigating Hallucinations in Healthcare LLMs with Granular Fact-Checking and Domain-Specific Adaptation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abdullah Al Mamun, Debopom Sutradhar, Kishoar Jahan Tithee, Md Rafiqul Islam, Mohaimenul Azam Khan Raiaan, Mukhtar Hussain, Musarrat Zeba, Reem E. Mohamed, Saddam Mukta, Sami Azam, Yakub Sebastian","submitted_at":"2025-12-18T05:23:47Z","abstract_excerpt":"In healthcare, it is essential for any LLM-generated output to be reliable and accurate, particularly in cases involving decision-making and patient safety. However, the outputs are often unreliable in such critical areas due to the risk of hallucinated outputs from the LLMs. To address this issue, we propose a fact-checking module that operates independently of any LLM, along with a domain-specific summarization model designed to minimize hallucination rates. Our model is fine-tuned using Low-Rank Adaptation (LoRa) on the MIMIC III dataset and is paired with the fact-checking module, which us"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.16189","kind":"arxiv","version":3},"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/2512.16189/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":"2026-05-26T01:03:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZCG2nVJfQmTlHD46DT/s51cO5jQlOlpLtJITApS8KGrossxGHIMW7WI27NhBRTzxdJZMkriG026jfBIk8xXgCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T01:54:21.705342Z"},"content_sha256":"1a24d2a844aba3a6a6db05e89571f301d6bd31358e582a57b3da81cda346234b","schema_version":"1.0","event_id":"sha256:1a24d2a844aba3a6a6db05e89571f301d6bd31358e582a57b3da81cda346234b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DFFBKNCS74UWQJM5JSZ425ZTMJ/bundle.json","state_url":"https://pith.science/pith/DFFBKNCS74UWQJM5JSZ425ZTMJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DFFBKNCS74UWQJM5JSZ425ZTMJ/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":"2026-06-09T01:54:21Z","links":{"resolver":"https://pith.science/pith/DFFBKNCS74UWQJM5JSZ425ZTMJ","bundle":"https://pith.science/pith/DFFBKNCS74UWQJM5JSZ425ZTMJ/bundle.json","state":"https://pith.science/pith/DFFBKNCS74UWQJM5JSZ425ZTMJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DFFBKNCS74UWQJM5JSZ425ZTMJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DFFBKNCS74UWQJM5JSZ425ZTMJ","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":"600527de21dc5028fdd04c99d433739166d572666deccc942e407da2e10dd3e8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-12-18T05:23:47Z","title_canon_sha256":"491c80223696ba067f5bb20e8f64bc520f302e764c8d0f1331c6f60d9d62f881"},"schema_version":"1.0","source":{"id":"2512.16189","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.16189","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"arxiv_version","alias_value":"2512.16189v3","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.16189","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_12","alias_value":"DFFBKNCS74UW","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_16","alias_value":"DFFBKNCS74UWQJM5","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_8","alias_value":"DFFBKNCS","created_at":"2026-05-26T01:03:20Z"}],"graph_snapshots":[{"event_id":"sha256:1a24d2a844aba3a6a6db05e89571f301d6bd31358e582a57b3da81cda346234b","target":"graph","created_at":"2026-05-26T01:03:20Z","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/2512.16189/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In healthcare, it is essential for any LLM-generated output to be reliable and accurate, particularly in cases involving decision-making and patient safety. However, the outputs are often unreliable in such critical areas due to the risk of hallucinated outputs from the LLMs. To address this issue, we propose a fact-checking module that operates independently of any LLM, along with a domain-specific summarization model designed to minimize hallucination rates. Our model is fine-tuned using Low-Rank Adaptation (LoRa) on the MIMIC III dataset and is paired with the fact-checking module, which us","authors_text":"Abdullah Al Mamun, Debopom Sutradhar, Kishoar Jahan Tithee, Md Rafiqul Islam, Mohaimenul Azam Khan Raiaan, Mukhtar Hussain, Musarrat Zeba, Reem E. Mohamed, Saddam Mukta, Sami Azam, Yakub Sebastian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-12-18T05:23:47Z","title":"Mitigating Hallucinations in Healthcare LLMs with Granular Fact-Checking and Domain-Specific Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.16189","kind":"arxiv","version":3},"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":"sha256:03c8d869f516de4afb7984b99e24602dfa342b0965fb898da7a3ba222eb2fbf2","target":"record","created_at":"2026-05-26T01:03:20Z","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":"600527de21dc5028fdd04c99d433739166d572666deccc942e407da2e10dd3e8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-12-18T05:23:47Z","title_canon_sha256":"491c80223696ba067f5bb20e8f64bc520f302e764c8d0f1331c6f60d9d62f881"},"schema_version":"1.0","source":{"id":"2512.16189","kind":"arxiv","version":3}},"canonical_sha256":"194a153452ff2968259d4cb3cd773362740a8f64934534b4761f3229cfa075db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"194a153452ff2968259d4cb3cd773362740a8f64934534b4761f3229cfa075db","first_computed_at":"2026-05-26T01:03:20.663784Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:20.663784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TMUvHxfECVWmMGlXREDMgJoZyW5z/4iB4EmKvSAip39cuq/j0zSeWD70Sd5Q/HNUjRVsq3+D+oJ51Sn3asW9Cw==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:20.664677Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.16189","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03c8d869f516de4afb7984b99e24602dfa342b0965fb898da7a3ba222eb2fbf2","sha256:1a24d2a844aba3a6a6db05e89571f301d6bd31358e582a57b3da81cda346234b"],"state_sha256":"6fa64d65f4e83c9470a2ab2daa2c64473f3221c2f77a4d0581fd20e7e300ece4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XskfZzGBYffht5z3e74Apclb9g5Un5G1BZ8ZqiN1mpAP7GolOSvYJfwwWWgOsfAAA+Itml9i0x7k+6LYnTlTBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T01:54:21.709701Z","bundle_sha256":"21f528f884b92a6a9e3de903ecf59240cc8f3d7dd20f0d74c9c5abfebb5f52d8"}}