{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WHLWKLW6IPACWW2WGYVLFTMM7Z","short_pith_number":"pith:WHLWKLW6","canonical_record":{"source":{"id":"2506.02470","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T05:39:02Z","cross_cats_sorted":[],"title_canon_sha256":"d6af1c3fe3964f3a44c4a7c98c0cf334693c06904cc83e701124bca6e2413b6b","abstract_canon_sha256":"3aae4de7bb47a402bceb07ec02010d198fde72f630b31702efe7fc285a6e14d0"},"schema_version":"1.0"},"canonical_sha256":"b1d7652ede43c02b5b56362ab2cd8cfe6428e33146c895c49de8ad6dacc4dde5","source":{"kind":"arxiv","id":"2506.02470","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02470","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02470v1","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02470","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"pith_short_12","alias_value":"WHLWKLW6IPAC","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"pith_short_16","alias_value":"WHLWKLW6IPACWW2W","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"pith_short_8","alias_value":"WHLWKLW6","created_at":"2026-07-05T11:15:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WHLWKLW6IPACWW2WGYVLFTMM7Z","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02470","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T05:39:02Z","cross_cats_sorted":[],"title_canon_sha256":"d6af1c3fe3964f3a44c4a7c98c0cf334693c06904cc83e701124bca6e2413b6b","abstract_canon_sha256":"3aae4de7bb47a402bceb07ec02010d198fde72f630b31702efe7fc285a6e14d0"},"schema_version":"1.0"},"canonical_sha256":"b1d7652ede43c02b5b56362ab2cd8cfe6428e33146c895c49de8ad6dacc4dde5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:02.655920Z","signature_b64":"OP0UXXaII6UWitiSSJp5QrQWIXmnaEgCNe6/nvl8/rGbX2kinrP2VMIhiWc9did44bFUHnODSFOL9iFX3+S/Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1d7652ede43c02b5b56362ab2cd8cfe6428e33146c895c49de8ad6dacc4dde5","last_reissued_at":"2026-07-05T11:15:02.655432Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:02.655432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02470","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":"2026-07-05T11:15:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xs1dIzU2SM6dR+VMm0RsF3O8MMbGqesPnG3KQgsB9r5F0TlF/Vi3BivqeRGhH3WZQ8SH1KnYdXWpMp6hN/USAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:13:18.093293Z"},"content_sha256":"2cebf516c76a4513cd5e2f589db38bf778371fe0f921d79160736c502010f83a","schema_version":"1.0","event_id":"sha256:2cebf516c76a4513cd5e2f589db38bf778371fe0f921d79160736c502010f83a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WHLWKLW6IPACWW2WGYVLFTMM7Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chunyan Miao, Siyan Liu, Su-Yin Yang, Xuejiao Zhao","submitted_at":"2025-06-03T05:39:02Z","abstract_excerpt":"Misdiagnosis causes significant harm to healthcare systems worldwide, leading to increased costs and patient risks. MedRAG is a smart multimodal healthcare copilot equipped with powerful large language model (LLM) reasoning, designed to enhance medical decision-making. It supports multiple input modalities, including non-intrusive voice monitoring, general medical queries, and electronic health records. MedRAG provides recommendations on diagnosis, treatment, medication, and follow-up questioning. Leveraging retrieval-augmented generation enhanced by knowledge graph-elicited reasoning, MedRAG "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02470","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/2506.02470/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":"2026-07-05T11:15:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V9g8bsxOTSkto2C4IrnWm1HveTCMvoPFTnY9owH0XzIJDmRMhB+NPIZKk5B4qx9o+AizOET0lfw5Lqi3iiM+DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:13:18.093865Z"},"content_sha256":"55156caa814ba1ca384a4cf9f48eba80cff1af0c9bc5bff89f1560e4f0a0d6d3","schema_version":"1.0","event_id":"sha256:55156caa814ba1ca384a4cf9f48eba80cff1af0c9bc5bff89f1560e4f0a0d6d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WHLWKLW6IPACWW2WGYVLFTMM7Z/bundle.json","state_url":"https://pith.science/pith/WHLWKLW6IPACWW2WGYVLFTMM7Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WHLWKLW6IPACWW2WGYVLFTMM7Z/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":"2026-08-08T06:13:18Z","links":{"resolver":"https://pith.science/pith/WHLWKLW6IPACWW2WGYVLFTMM7Z","bundle":"https://pith.science/pith/WHLWKLW6IPACWW2WGYVLFTMM7Z/bundle.json","state":"https://pith.science/pith/WHLWKLW6IPACWW2WGYVLFTMM7Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WHLWKLW6IPACWW2WGYVLFTMM7Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WHLWKLW6IPACWW2WGYVLFTMM7Z","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":"3aae4de7bb47a402bceb07ec02010d198fde72f630b31702efe7fc285a6e14d0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T05:39:02Z","title_canon_sha256":"d6af1c3fe3964f3a44c4a7c98c0cf334693c06904cc83e701124bca6e2413b6b"},"schema_version":"1.0","source":{"id":"2506.02470","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02470","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02470v1","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02470","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"pith_short_12","alias_value":"WHLWKLW6IPAC","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"pith_short_16","alias_value":"WHLWKLW6IPACWW2W","created_at":"2026-07-05T11:15:02Z"},{"alias_kind":"pith_short_8","alias_value":"WHLWKLW6","created_at":"2026-07-05T11:15:02Z"}],"graph_snapshots":[{"event_id":"sha256:55156caa814ba1ca384a4cf9f48eba80cff1af0c9bc5bff89f1560e4f0a0d6d3","target":"graph","created_at":"2026-07-05T11:15:02Z","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/2506.02470/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Misdiagnosis causes significant harm to healthcare systems worldwide, leading to increased costs and patient risks. MedRAG is a smart multimodal healthcare copilot equipped with powerful large language model (LLM) reasoning, designed to enhance medical decision-making. It supports multiple input modalities, including non-intrusive voice monitoring, general medical queries, and electronic health records. MedRAG provides recommendations on diagnosis, treatment, medication, and follow-up questioning. Leveraging retrieval-augmented generation enhanced by knowledge graph-elicited reasoning, MedRAG ","authors_text":"Chunyan Miao, Siyan Liu, Su-Yin Yang, Xuejiao Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T05:39:02Z","title":"A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02470","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":"sha256:2cebf516c76a4513cd5e2f589db38bf778371fe0f921d79160736c502010f83a","target":"record","created_at":"2026-07-05T11:15:02Z","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":"3aae4de7bb47a402bceb07ec02010d198fde72f630b31702efe7fc285a6e14d0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T05:39:02Z","title_canon_sha256":"d6af1c3fe3964f3a44c4a7c98c0cf334693c06904cc83e701124bca6e2413b6b"},"schema_version":"1.0","source":{"id":"2506.02470","kind":"arxiv","version":1}},"canonical_sha256":"b1d7652ede43c02b5b56362ab2cd8cfe6428e33146c895c49de8ad6dacc4dde5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1d7652ede43c02b5b56362ab2cd8cfe6428e33146c895c49de8ad6dacc4dde5","first_computed_at":"2026-07-05T11:15:02.655432Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:02.655432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OP0UXXaII6UWitiSSJp5QrQWIXmnaEgCNe6/nvl8/rGbX2kinrP2VMIhiWc9did44bFUHnODSFOL9iFX3+S/Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:02.655920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02470","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2cebf516c76a4513cd5e2f589db38bf778371fe0f921d79160736c502010f83a","sha256:55156caa814ba1ca384a4cf9f48eba80cff1af0c9bc5bff89f1560e4f0a0d6d3"],"state_sha256":"f5f2c677d16a699bae081a5a444c8b67b20fe41c1cf4528f93c2a2d5b0c0d719"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rovtpryWvn9oGtlHJWOA/zq4l+PwLD1vLzfwTpxHuoX+Nv5A3SpxfYipQNJUwT1Ajz8EP8Ib3n1K1x9IONO4CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T06:13:18.097690Z","bundle_sha256":"89c8b637c10aceb429e88417f544d56acf5a5e292b5c4c38ce8694aae810db21"}}