{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AAWP3CGMHUOW2I2UKWC6SKKBZE","short_pith_number":"pith:AAWP3CGM","canonical_record":{"source":{"id":"2606.03416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-02T10:00:59Z","cross_cats_sorted":[],"title_canon_sha256":"edf749f320c9603776a650273dcf55d5778bc384cf2ed9551c8eb938c1360ae5","abstract_canon_sha256":"69f5ac04bfe9851f58b093d8cf95537ed9162a836d4736daa58950d943570cbd"},"schema_version":"1.0"},"canonical_sha256":"002cfd88cc3d1d6d23545585e92941c909aa7ae2f022effb7deb4f4d3e5f4d52","source":{"kind":"arxiv","id":"2606.03416","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.03416","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.03416v1","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03416","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"pith_short_12","alias_value":"AAWP3CGMHUOW","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"pith_short_16","alias_value":"AAWP3CGMHUOW2I2U","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"pith_short_8","alias_value":"AAWP3CGM","created_at":"2026-06-03T01:05:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AAWP3CGMHUOW2I2UKWC6SKKBZE","target":"record","payload":{"canonical_record":{"source":{"id":"2606.03416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-02T10:00:59Z","cross_cats_sorted":[],"title_canon_sha256":"edf749f320c9603776a650273dcf55d5778bc384cf2ed9551c8eb938c1360ae5","abstract_canon_sha256":"69f5ac04bfe9851f58b093d8cf95537ed9162a836d4736daa58950d943570cbd"},"schema_version":"1.0"},"canonical_sha256":"002cfd88cc3d1d6d23545585e92941c909aa7ae2f022effb7deb4f4d3e5f4d52","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:57.265109Z","signature_b64":"AiXi5TSS86QI99wgvbGf/qire5a67hkTGpISe8aRdI77C2ZSY8Zqlm8f5psvtiFv8fKyD9pq+Sj1hIzwmx8YBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"002cfd88cc3d1d6d23545585e92941c909aa7ae2f022effb7deb4f4d3e5f4d52","last_reissued_at":"2026-06-03T01:05:57.264711Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:57.264711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.03416","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":"2026-06-03T01:05:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FWz+U3QTkK8U4fnIchxnzIRKEiFOeopo3o01DpjqHYth2XKQM7NgFW7+3TwoK2TdaiMwvRaxjkLyDahNA/qCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T08:29:27.938161Z"},"content_sha256":"a75d19c538f42ea160d93ff653606ccb4265014ed99e4af2d12bc9118662cf5a","schema_version":"1.0","event_id":"sha256:a75d19c538f42ea160d93ff653606ccb4265014ed99e4af2d12bc9118662cf5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AAWP3CGMHUOW2I2UKWC6SKKBZE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Akshat Sanghvi, Amit Sharma, Mohit Jain, Naren Akash, Raza Imam","submitted_at":"2026-06-02T10:00:59Z","abstract_excerpt":"Large language models (LLMs) are increasingly used for health-related decision support. Yet most evaluations treat diagnosis as a single-shot task with complete information provided upfront, often as a multiple-choice selection. This diverges from clinical practice, where diagnosis is interactive and open-ended, involving sequential hypothesis refinement through targeted questioning. We address this gap. We build MeDxBench, a large-scale benchmark of 4,421 clinical cases across 20 specialties. We further propose MeDxAgent, a multi-agent consultation system for interactive diagnosis, and system"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03416","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/2606.03416/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":"2026-06-03T01:05:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v4/+Au1E/I5rsZXgGPyuOj3PpXaC7jVwzWcj2m3YNy9uq5yDiy/wu/CmSrFMwmkzahxyuZhS67Dic8NCSESjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T08:29:27.938593Z"},"content_sha256":"a8f1faa4cda683c9271248d5be36a9026f7a567b0726bb35e6687a2db4691186","schema_version":"1.0","event_id":"sha256:a8f1faa4cda683c9271248d5be36a9026f7a567b0726bb35e6687a2db4691186"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AAWP3CGMHUOW2I2UKWC6SKKBZE/bundle.json","state_url":"https://pith.science/pith/AAWP3CGMHUOW2I2UKWC6SKKBZE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AAWP3CGMHUOW2I2UKWC6SKKBZE/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":"2026-06-26T08:29:27Z","links":{"resolver":"https://pith.science/pith/AAWP3CGMHUOW2I2UKWC6SKKBZE","bundle":"https://pith.science/pith/AAWP3CGMHUOW2I2UKWC6SKKBZE/bundle.json","state":"https://pith.science/pith/AAWP3CGMHUOW2I2UKWC6SKKBZE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AAWP3CGMHUOW2I2UKWC6SKKBZE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AAWP3CGMHUOW2I2UKWC6SKKBZE","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":"69f5ac04bfe9851f58b093d8cf95537ed9162a836d4736daa58950d943570cbd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-02T10:00:59Z","title_canon_sha256":"edf749f320c9603776a650273dcf55d5778bc384cf2ed9551c8eb938c1360ae5"},"schema_version":"1.0","source":{"id":"2606.03416","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.03416","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.03416v1","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03416","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"pith_short_12","alias_value":"AAWP3CGMHUOW","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"pith_short_16","alias_value":"AAWP3CGMHUOW2I2U","created_at":"2026-06-03T01:05:57Z"},{"alias_kind":"pith_short_8","alias_value":"AAWP3CGM","created_at":"2026-06-03T01:05:57Z"}],"graph_snapshots":[{"event_id":"sha256:a8f1faa4cda683c9271248d5be36a9026f7a567b0726bb35e6687a2db4691186","target":"graph","created_at":"2026-06-03T01:05:57Z","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/2606.03416/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly used for health-related decision support. Yet most evaluations treat diagnosis as a single-shot task with complete information provided upfront, often as a multiple-choice selection. This diverges from clinical practice, where diagnosis is interactive and open-ended, involving sequential hypothesis refinement through targeted questioning. We address this gap. We build MeDxBench, a large-scale benchmark of 4,421 clinical cases across 20 specialties. We further propose MeDxAgent, a multi-agent consultation system for interactive diagnosis, and system","authors_text":"Akshat Sanghvi, Amit Sharma, Mohit Jain, Naren Akash, Raza Imam","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-02T10:00:59Z","title":"MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03416","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:a75d19c538f42ea160d93ff653606ccb4265014ed99e4af2d12bc9118662cf5a","target":"record","created_at":"2026-06-03T01:05:57Z","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":"69f5ac04bfe9851f58b093d8cf95537ed9162a836d4736daa58950d943570cbd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-02T10:00:59Z","title_canon_sha256":"edf749f320c9603776a650273dcf55d5778bc384cf2ed9551c8eb938c1360ae5"},"schema_version":"1.0","source":{"id":"2606.03416","kind":"arxiv","version":1}},"canonical_sha256":"002cfd88cc3d1d6d23545585e92941c909aa7ae2f022effb7deb4f4d3e5f4d52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"002cfd88cc3d1d6d23545585e92941c909aa7ae2f022effb7deb4f4d3e5f4d52","first_computed_at":"2026-06-03T01:05:57.264711Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:57.264711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AiXi5TSS86QI99wgvbGf/qire5a67hkTGpISe8aRdI77C2ZSY8Zqlm8f5psvtiFv8fKyD9pq+Sj1hIzwmx8YBg==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:57.265109Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.03416","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a75d19c538f42ea160d93ff653606ccb4265014ed99e4af2d12bc9118662cf5a","sha256:a8f1faa4cda683c9271248d5be36a9026f7a567b0726bb35e6687a2db4691186"],"state_sha256":"b9a3e0474eec5710ed1457d5994bada6ab85b8bd29a9efdf5d5e62012d8d6bd1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ASJaeaWtSNoO0TYSKDTz9FlR2fVg9Kw9iAXD7haaHUku63TQ2CJqbKeYHy3lRRerEi4QZ8R/NFnKt6yJorxZAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T08:29:27.940661Z","bundle_sha256":"52a2b065c6703d7943509b1220e29c8209e79eb5e71022ec6c119be41f8c4053"}}