{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZRY4TISZTJPTY3O2BFT7MZ4VCL","short_pith_number":"pith:ZRY4TISZ","canonical_record":{"source":{"id":"2607.12886","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-14T15:32:07Z","cross_cats_sorted":[],"title_canon_sha256":"69c91f266ae01f08015eef2a5ee3ae62a4d8af2c2fe299e5a5c816b2d561751c","abstract_canon_sha256":"6721c85d4ca915f654504c5b8f676ceb58650c2e53925c743dd017eb4acc51f2"},"schema_version":"1.0"},"canonical_sha256":"cc71c9a2599a5f3c6dda0967f6679512f3db674108e8a66be49de2b207934010","source":{"kind":"arxiv","id":"2607.12886","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.12886","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"arxiv_version","alias_value":"2607.12886v1","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.12886","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"pith_short_12","alias_value":"ZRY4TISZTJPT","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"pith_short_16","alias_value":"ZRY4TISZTJPTY3O2","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"pith_short_8","alias_value":"ZRY4TISZ","created_at":"2026-07-15T01:22:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZRY4TISZTJPTY3O2BFT7MZ4VCL","target":"record","payload":{"canonical_record":{"source":{"id":"2607.12886","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-14T15:32:07Z","cross_cats_sorted":[],"title_canon_sha256":"69c91f266ae01f08015eef2a5ee3ae62a4d8af2c2fe299e5a5c816b2d561751c","abstract_canon_sha256":"6721c85d4ca915f654504c5b8f676ceb58650c2e53925c743dd017eb4acc51f2"},"schema_version":"1.0"},"canonical_sha256":"cc71c9a2599a5f3c6dda0967f6679512f3db674108e8a66be49de2b207934010","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-15T01:22:23.288958Z","signature_b64":"W7wr/pqxZIlMlViZUsWqctJW91XTaU1k2GbXWd2RyRD14VNlNhl6GxY5AqhdLbVGddqgJwpb1vBzYP459pTrBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc71c9a2599a5f3c6dda0967f6679512f3db674108e8a66be49de2b207934010","last_reissued_at":"2026-07-15T01:22:23.288120Z","signature_status":"signed_v1","first_computed_at":"2026-07-15T01:22:23.288120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.12886","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":"2026-07-15T01:22:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aEdvAbMLCDuddV6PA32a3bPj8QOBByej8f5dpqJaooQOavfmnIVYPKnA0es3oGGmpNTlc0ut2GagF8liwnXmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T02:55:45.069597Z"},"content_sha256":"9f4dcccf99c59b2f2282baca85f585bfa683d19ef06b4fa81e7342665e6477e5","schema_version":"1.0","event_id":"sha256:9f4dcccf99c59b2f2282baca85f585bfa683d19ef06b4fa81e7342665e6477e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZRY4TISZTJPTY3O2BFT7MZ4VCL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Multi-Agent System for Autonomous, Fine-Tuning-Free Clinical Symptom Detection: Development and Validation Study","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Cameron Cagan, Hossein Estiri, Jiazi Tian, Jingya Cheng, Pedram Fard, Shawn N. Murphy","submitted_at":"2026-07-14T15:32:07Z","abstract_excerpt":"Clinical notes contain many of the signs and symptoms that bring patients to care, yet this information rarely reaches structured fields. Existing extraction approaches either rely on context-insensitive rules that generate false positives or on supervised models that require substantial fine-tuning. We present Pythia, a multi-agent system that autonomously writes and optimizes extraction prompts for clinical concepts without manual prompt engineering or fine-tuning. Running on a locally hosted open-weights model, Pythia keeps clinical notes on local infrastructure and selects prompts using de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.12886","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/2607.12886/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":"2026-07-15T01:22:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VPjsqYjkodvc4YnGcrl6sD3Rf9nFai1DwH5fDnh68Og9BGJqtxmQ0SbqwoS3n1xNfj3ajHVG19QteXS8aEDWCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T02:55:45.069969Z"},"content_sha256":"6db4caff79796b2cf2eb92e55a945c5c2c1c864dc8bdee04dd99750b91b8a989","schema_version":"1.0","event_id":"sha256:6db4caff79796b2cf2eb92e55a945c5c2c1c864dc8bdee04dd99750b91b8a989"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZRY4TISZTJPTY3O2BFT7MZ4VCL/bundle.json","state_url":"https://pith.science/pith/ZRY4TISZTJPTY3O2BFT7MZ4VCL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZRY4TISZTJPTY3O2BFT7MZ4VCL/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":"2026-07-29T02:55:45Z","links":{"resolver":"https://pith.science/pith/ZRY4TISZTJPTY3O2BFT7MZ4VCL","bundle":"https://pith.science/pith/ZRY4TISZTJPTY3O2BFT7MZ4VCL/bundle.json","state":"https://pith.science/pith/ZRY4TISZTJPTY3O2BFT7MZ4VCL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZRY4TISZTJPTY3O2BFT7MZ4VCL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZRY4TISZTJPTY3O2BFT7MZ4VCL","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":"6721c85d4ca915f654504c5b8f676ceb58650c2e53925c743dd017eb4acc51f2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-14T15:32:07Z","title_canon_sha256":"69c91f266ae01f08015eef2a5ee3ae62a4d8af2c2fe299e5a5c816b2d561751c"},"schema_version":"1.0","source":{"id":"2607.12886","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.12886","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"arxiv_version","alias_value":"2607.12886v1","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.12886","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"pith_short_12","alias_value":"ZRY4TISZTJPT","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"pith_short_16","alias_value":"ZRY4TISZTJPTY3O2","created_at":"2026-07-15T01:22:23Z"},{"alias_kind":"pith_short_8","alias_value":"ZRY4TISZ","created_at":"2026-07-15T01:22:23Z"}],"graph_snapshots":[{"event_id":"sha256:6db4caff79796b2cf2eb92e55a945c5c2c1c864dc8bdee04dd99750b91b8a989","target":"graph","created_at":"2026-07-15T01:22:23Z","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/2607.12886/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clinical notes contain many of the signs and symptoms that bring patients to care, yet this information rarely reaches structured fields. Existing extraction approaches either rely on context-insensitive rules that generate false positives or on supervised models that require substantial fine-tuning. We present Pythia, a multi-agent system that autonomously writes and optimizes extraction prompts for clinical concepts without manual prompt engineering or fine-tuning. Running on a locally hosted open-weights model, Pythia keeps clinical notes on local infrastructure and selects prompts using de","authors_text":"Cameron Cagan, Hossein Estiri, Jiazi Tian, Jingya Cheng, Pedram Fard, Shawn N. Murphy","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-14T15:32:07Z","title":"A Multi-Agent System for Autonomous, Fine-Tuning-Free Clinical Symptom Detection: Development and Validation Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.12886","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":"sha256:9f4dcccf99c59b2f2282baca85f585bfa683d19ef06b4fa81e7342665e6477e5","target":"record","created_at":"2026-07-15T01:22:23Z","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":"6721c85d4ca915f654504c5b8f676ceb58650c2e53925c743dd017eb4acc51f2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-14T15:32:07Z","title_canon_sha256":"69c91f266ae01f08015eef2a5ee3ae62a4d8af2c2fe299e5a5c816b2d561751c"},"schema_version":"1.0","source":{"id":"2607.12886","kind":"arxiv","version":1}},"canonical_sha256":"cc71c9a2599a5f3c6dda0967f6679512f3db674108e8a66be49de2b207934010","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc71c9a2599a5f3c6dda0967f6679512f3db674108e8a66be49de2b207934010","first_computed_at":"2026-07-15T01:22:23.288120Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-15T01:22:23.288120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W7wr/pqxZIlMlViZUsWqctJW91XTaU1k2GbXWd2RyRD14VNlNhl6GxY5AqhdLbVGddqgJwpb1vBzYP459pTrBw==","signature_status":"signed_v1","signed_at":"2026-07-15T01:22:23.288958Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.12886","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f4dcccf99c59b2f2282baca85f585bfa683d19ef06b4fa81e7342665e6477e5","sha256:6db4caff79796b2cf2eb92e55a945c5c2c1c864dc8bdee04dd99750b91b8a989"],"state_sha256":"affc441824ed419616e91eb96cbb9eb38b094819357dbd8ef2fcde09df026de8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"38p/RtoH0ais6BHzYttznm3q6I4sApaXYDc3S29uQGpyEGuRMI0H3PuEThZ1Hhw6xb4GlMwbaTGEMEGGFmxIAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-29T02:55:45.072151Z","bundle_sha256":"e6c56fa451f37147a9499ff7510ab5a666a5bb8b1a22c1131a468c675f36f39c"}}