{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OECREQX3P44M4K54TFBJL357YQ","short_pith_number":"pith:OECREQX3","canonical_record":{"source":{"id":"2409.17190","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-25T06:30:06Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af08577749d8aeb180ab87bd69526d84176e6b5bc2de2e08b9db231da60bb8d0","abstract_canon_sha256":"26c285593ad2399bc610f9798a8fd72986808f737212a5c3c30dff25266cd57a"},"schema_version":"1.0"},"canonical_sha256":"71051242fb7f38ce2bbc994295efbfc43adbd74dad386fd89dd98cfd7c276e84","source":{"kind":"arxiv","id":"2409.17190","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17190","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17190v1","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17190","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"pith_short_12","alias_value":"OECREQX3P44M","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"pith_short_16","alias_value":"OECREQX3P44M4K54","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"pith_short_8","alias_value":"OECREQX3","created_at":"2026-07-05T09:11:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OECREQX3P44M4K54TFBJL357YQ","target":"record","payload":{"canonical_record":{"source":{"id":"2409.17190","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-25T06:30:06Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af08577749d8aeb180ab87bd69526d84176e6b5bc2de2e08b9db231da60bb8d0","abstract_canon_sha256":"26c285593ad2399bc610f9798a8fd72986808f737212a5c3c30dff25266cd57a"},"schema_version":"1.0"},"canonical_sha256":"71051242fb7f38ce2bbc994295efbfc43adbd74dad386fd89dd98cfd7c276e84","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:11:49.519821Z","signature_b64":"jki1mxUf+ehz2bD2B3tGuXtyppq7TxGR5gjn1TFRUgYmS7KLyAJ5PCwSE0LzSCnXlv4kr1JF0MYA6ztFU5gRAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71051242fb7f38ce2bbc994295efbfc43adbd74dad386fd89dd98cfd7c276e84","last_reissued_at":"2026-07-05T09:11:49.519258Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:11:49.519258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.17190","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":"2026-07-05T09:11:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d8D8O1unzBKhC2akno0pF+TWc9dkg/SadF3P0+x6gXOczMY6/pkFQhcSjUCGRgoGvhrX15CaEpEaifmxYJ7bCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:15:19.279493Z"},"content_sha256":"007e88f58cbac822cf22219b62e5a3fa69be6d0ab43b24fe6c8624fbbaf13316","schema_version":"1.0","event_id":"sha256:007e88f58cbac822cf22219b62e5a3fa69be6d0ab43b24fe6c8624fbbaf13316"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OECREQX3P44M4K54TFBJL357YQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Guardrails for Safe and Secure Healthcare AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Ananya Gangavarapu","submitted_at":"2024-09-25T06:30:06Z","abstract_excerpt":"Generative AI holds immense promise in addressing global healthcare access challenges, with numerous innovative applications now ready for use across various healthcare domains. However, a significant barrier to the widespread adoption of these domain-specific AI solutions is the lack of robust safety mechanisms to effectively manage issues such as hallucination, misinformation, and ensuring truthfulness. Left unchecked, these risks can compromise patient safety and erode trust in healthcare AI systems. While general-purpose frameworks like Llama Guard are useful for filtering toxicity and har"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17190","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/2409.17190/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":"2026-07-05T09:11:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CXnwMuALWEaCum+Q2Ma+kpsk2eQQrgRouAIGSiRxCXpXd4zFLZHUp/yABn6874S8/+lEjQlvWXweqCGj4KXWBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:15:19.279884Z"},"content_sha256":"cae06826e61b118818694a0703bfc11a7f22806bf43943ea77f1ac042d8268ad","schema_version":"1.0","event_id":"sha256:cae06826e61b118818694a0703bfc11a7f22806bf43943ea77f1ac042d8268ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OECREQX3P44M4K54TFBJL357YQ/bundle.json","state_url":"https://pith.science/pith/OECREQX3P44M4K54TFBJL357YQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OECREQX3P44M4K54TFBJL357YQ/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":"2026-07-07T07:15:19Z","links":{"resolver":"https://pith.science/pith/OECREQX3P44M4K54TFBJL357YQ","bundle":"https://pith.science/pith/OECREQX3P44M4K54TFBJL357YQ/bundle.json","state":"https://pith.science/pith/OECREQX3P44M4K54TFBJL357YQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OECREQX3P44M4K54TFBJL357YQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OECREQX3P44M4K54TFBJL357YQ","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":"26c285593ad2399bc610f9798a8fd72986808f737212a5c3c30dff25266cd57a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-25T06:30:06Z","title_canon_sha256":"af08577749d8aeb180ab87bd69526d84176e6b5bc2de2e08b9db231da60bb8d0"},"schema_version":"1.0","source":{"id":"2409.17190","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17190","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17190v1","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17190","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"pith_short_12","alias_value":"OECREQX3P44M","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"pith_short_16","alias_value":"OECREQX3P44M4K54","created_at":"2026-07-05T09:11:49Z"},{"alias_kind":"pith_short_8","alias_value":"OECREQX3","created_at":"2026-07-05T09:11:49Z"}],"graph_snapshots":[{"event_id":"sha256:cae06826e61b118818694a0703bfc11a7f22806bf43943ea77f1ac042d8268ad","target":"graph","created_at":"2026-07-05T09:11:49Z","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/2409.17190/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI holds immense promise in addressing global healthcare access challenges, with numerous innovative applications now ready for use across various healthcare domains. However, a significant barrier to the widespread adoption of these domain-specific AI solutions is the lack of robust safety mechanisms to effectively manage issues such as hallucination, misinformation, and ensuring truthfulness. Left unchecked, these risks can compromise patient safety and erode trust in healthcare AI systems. While general-purpose frameworks like Llama Guard are useful for filtering toxicity and har","authors_text":"Ananya Gangavarapu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-25T06:30:06Z","title":"Enhancing Guardrails for Safe and Secure Healthcare AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17190","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":"sha256:007e88f58cbac822cf22219b62e5a3fa69be6d0ab43b24fe6c8624fbbaf13316","target":"record","created_at":"2026-07-05T09:11:49Z","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":"26c285593ad2399bc610f9798a8fd72986808f737212a5c3c30dff25266cd57a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-25T06:30:06Z","title_canon_sha256":"af08577749d8aeb180ab87bd69526d84176e6b5bc2de2e08b9db231da60bb8d0"},"schema_version":"1.0","source":{"id":"2409.17190","kind":"arxiv","version":1}},"canonical_sha256":"71051242fb7f38ce2bbc994295efbfc43adbd74dad386fd89dd98cfd7c276e84","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71051242fb7f38ce2bbc994295efbfc43adbd74dad386fd89dd98cfd7c276e84","first_computed_at":"2026-07-05T09:11:49.519258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:11:49.519258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jki1mxUf+ehz2bD2B3tGuXtyppq7TxGR5gjn1TFRUgYmS7KLyAJ5PCwSE0LzSCnXlv4kr1JF0MYA6ztFU5gRAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:11:49.519821Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.17190","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:007e88f58cbac822cf22219b62e5a3fa69be6d0ab43b24fe6c8624fbbaf13316","sha256:cae06826e61b118818694a0703bfc11a7f22806bf43943ea77f1ac042d8268ad"],"state_sha256":"216ac9d53f5807bb93cb27341ba1d62f04ecc9f62cc954b7e52acf7644603858"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LS24JdxWUa64QvqeB3Ezqdu/zb6wR9NNl1JjlFC4EC/MllwykYhV3wY5bgLOeXefN1HHc43sbLudEWojRLUaCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:15:19.282246Z","bundle_sha256":"c4dd3a6958af994c55757247788d74fa00d7284da4de398d698ff9f04cde8bcc"}}