{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IOUF4I4RL6HN7BK4TF3WL36EYW","short_pith_number":"pith:IOUF4I4R","canonical_record":{"source":{"id":"2506.14774","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T09:37:18Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"4bafada35b9f15005ee49a13551d74730df2100b24456db94ca22438d16b9bc6","abstract_canon_sha256":"760093b385318f9667d67879639599e35d9dda872d95c38337667191b2151d0b"},"schema_version":"1.0"},"canonical_sha256":"43a85e23915f8edf855c997765efc4c5b842f292a17459ed39c0d603a41bffae","source":{"kind":"arxiv","id":"2506.14774","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14774","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14774v2","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14774","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"pith_short_12","alias_value":"IOUF4I4RL6HN","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"pith_short_16","alias_value":"IOUF4I4RL6HN7BK4","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"pith_short_8","alias_value":"IOUF4I4R","created_at":"2026-07-05T11:34:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IOUF4I4RL6HN7BK4TF3WL36EYW","target":"record","payload":{"canonical_record":{"source":{"id":"2506.14774","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T09:37:18Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"4bafada35b9f15005ee49a13551d74730df2100b24456db94ca22438d16b9bc6","abstract_canon_sha256":"760093b385318f9667d67879639599e35d9dda872d95c38337667191b2151d0b"},"schema_version":"1.0"},"canonical_sha256":"43a85e23915f8edf855c997765efc4c5b842f292a17459ed39c0d603a41bffae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:09.457532Z","signature_b64":"UtjOs1VY4A+2WO7B24ZVohvdma2jUszu2Q/b7Iv2hq+FfzgnLpsLsCdvoJRlR5Pr9hSNm9kuP6hjUcwBk5xcAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43a85e23915f8edf855c997765efc4c5b842f292a17459ed39c0d603a41bffae","last_reissued_at":"2026-07-05T11:34:09.457036Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:09.457036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.14774","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:34:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YpyuVXZBDMmq5wfP++xldSy4w/LEeYs4waCmo8EnCAAfNl4+tD3gkVsO9bLm3PymUJtYZPQgH9QsSVllC8XrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:10:12.803469Z"},"content_sha256":"4690d6c8f9630b49462987db2839c3cf882ca1fa2667c49c6756b2e700bfe5aa","schema_version":"1.0","event_id":"sha256:4690d6c8f9630b49462987db2839c3cf882ca1fa2667c49c6756b2e700bfe5aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IOUF4I4RL6HN7BK4TF3WL36EYW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MedSyn: Enhancing Diagnostics with Human-AI Collaboration","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.LG","authors_text":"Andrea Passerini, Burcu Sayin, Ipek Baris Schlicht, Jacopo Staiano, Ngoc Vo Hong, Pasquale Minervini, Sara Allievi","submitted_at":"2025-05-07T09:37:18Z","abstract_excerpt":"Clinical decision-making is inherently complex, often influenced by cognitive biases, incomplete information, and case ambiguity. Large Language Models (LLMs) have shown promise as tools for supporting clinical decision-making, yet their typical one-shot or limited-interaction usage may overlook the complexities of real-world medical practice. In this work, we propose a hybrid human-AI framework, MedSyn, where physicians and LLMs engage in multi-step, interactive dialogues to refine diagnoses and treatment decisions. Unlike static decision-support tools, MedSyn enables dynamic exchanges, allow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14774","kind":"arxiv","version":2},"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/2506.14774/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":"2026-07-05T11:34:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xzPBMBdyXRPw6HLYK9EIxlSTOP7y0cOeKulp5z+DavRPNNrsHhsi9tRqFFIyjYIO/D65HRp8Q42fscIBOwPBAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:10:12.803986Z"},"content_sha256":"ae492b73bf8ae947456d7bdcbdab75b5b94902081c67c6bc76c27587a708fd30","schema_version":"1.0","event_id":"sha256:ae492b73bf8ae947456d7bdcbdab75b5b94902081c67c6bc76c27587a708fd30"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IOUF4I4RL6HN7BK4TF3WL36EYW/bundle.json","state_url":"https://pith.science/pith/IOUF4I4RL6HN7BK4TF3WL36EYW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IOUF4I4RL6HN7BK4TF3WL36EYW/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":"2026-08-08T03:10:12Z","links":{"resolver":"https://pith.science/pith/IOUF4I4RL6HN7BK4TF3WL36EYW","bundle":"https://pith.science/pith/IOUF4I4RL6HN7BK4TF3WL36EYW/bundle.json","state":"https://pith.science/pith/IOUF4I4RL6HN7BK4TF3WL36EYW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IOUF4I4RL6HN7BK4TF3WL36EYW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IOUF4I4RL6HN7BK4TF3WL36EYW","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":"760093b385318f9667d67879639599e35d9dda872d95c38337667191b2151d0b","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T09:37:18Z","title_canon_sha256":"4bafada35b9f15005ee49a13551d74730df2100b24456db94ca22438d16b9bc6"},"schema_version":"1.0","source":{"id":"2506.14774","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14774","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14774v2","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14774","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"pith_short_12","alias_value":"IOUF4I4RL6HN","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"pith_short_16","alias_value":"IOUF4I4RL6HN7BK4","created_at":"2026-07-05T11:34:09Z"},{"alias_kind":"pith_short_8","alias_value":"IOUF4I4R","created_at":"2026-07-05T11:34:09Z"}],"graph_snapshots":[{"event_id":"sha256:ae492b73bf8ae947456d7bdcbdab75b5b94902081c67c6bc76c27587a708fd30","target":"graph","created_at":"2026-07-05T11:34:09Z","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/2506.14774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clinical decision-making is inherently complex, often influenced by cognitive biases, incomplete information, and case ambiguity. Large Language Models (LLMs) have shown promise as tools for supporting clinical decision-making, yet their typical one-shot or limited-interaction usage may overlook the complexities of real-world medical practice. In this work, we propose a hybrid human-AI framework, MedSyn, where physicians and LLMs engage in multi-step, interactive dialogues to refine diagnoses and treatment decisions. Unlike static decision-support tools, MedSyn enables dynamic exchanges, allow","authors_text":"Andrea Passerini, Burcu Sayin, Ipek Baris Schlicht, Jacopo Staiano, Ngoc Vo Hong, Pasquale Minervini, Sara Allievi","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T09:37:18Z","title":"MedSyn: Enhancing Diagnostics with Human-AI Collaboration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14774","kind":"arxiv","version":2},"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":"sha256:4690d6c8f9630b49462987db2839c3cf882ca1fa2667c49c6756b2e700bfe5aa","target":"record","created_at":"2026-07-05T11:34:09Z","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":"760093b385318f9667d67879639599e35d9dda872d95c38337667191b2151d0b","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T09:37:18Z","title_canon_sha256":"4bafada35b9f15005ee49a13551d74730df2100b24456db94ca22438d16b9bc6"},"schema_version":"1.0","source":{"id":"2506.14774","kind":"arxiv","version":2}},"canonical_sha256":"43a85e23915f8edf855c997765efc4c5b842f292a17459ed39c0d603a41bffae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43a85e23915f8edf855c997765efc4c5b842f292a17459ed39c0d603a41bffae","first_computed_at":"2026-07-05T11:34:09.457036Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:09.457036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UtjOs1VY4A+2WO7B24ZVohvdma2jUszu2Q/b7Iv2hq+FfzgnLpsLsCdvoJRlR5Pr9hSNm9kuP6hjUcwBk5xcAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:09.457532Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.14774","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4690d6c8f9630b49462987db2839c3cf882ca1fa2667c49c6756b2e700bfe5aa","sha256:ae492b73bf8ae947456d7bdcbdab75b5b94902081c67c6bc76c27587a708fd30"],"state_sha256":"1d91d36ba2fd37ae1974c6dfce35513022a22b5af54cc2e489f0e567dd6a891e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lohf2+6XlfhshhJhkf870TJlGBYkBLF1+T2jTJ0wRh/rnMKCV17/Lj21d9mUUzu+uRD27SfuOIMEHyBe0NBPAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T03:10:12.809055Z","bundle_sha256":"334b7343002750f665e482d91be8f19d009182722a56312bab61f8394abf0cb4"}}