{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3QKTVF36Q7OPBHOGIBUGBG3FYY","short_pith_number":"pith:3QKTVF36","canonical_record":{"source":{"id":"2607.08625","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T15:56:55Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"772d3105d74e62150cadda7a742e38a09016f73d0716f66da98b8a0ea718237e","abstract_canon_sha256":"a23aa553efa147bbd7ac6f15bbfa38520656406fc785700c58f114c348ab8c9f"},"schema_version":"1.0"},"canonical_sha256":"dc153a977e87dcf09dc64068609b65c6022f0115688ed6fad30f654f9f0a2814","source":{"kind":"arxiv","id":"2607.08625","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08625","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08625v1","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08625","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"pith_short_12","alias_value":"3QKTVF36Q7OP","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"pith_short_16","alias_value":"3QKTVF36Q7OPBHOG","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"pith_short_8","alias_value":"3QKTVF36","created_at":"2026-07-10T01:19:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3QKTVF36Q7OPBHOGIBUGBG3FYY","target":"record","payload":{"canonical_record":{"source":{"id":"2607.08625","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T15:56:55Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"772d3105d74e62150cadda7a742e38a09016f73d0716f66da98b8a0ea718237e","abstract_canon_sha256":"a23aa553efa147bbd7ac6f15bbfa38520656406fc785700c58f114c348ab8c9f"},"schema_version":"1.0"},"canonical_sha256":"dc153a977e87dcf09dc64068609b65c6022f0115688ed6fad30f654f9f0a2814","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:55.882874Z","signature_b64":"JcR8NXYDOHfN6SSteEfwTlbHUEGkU1TOzYyR03hcba9yoaw79tzI5a1lx96VVLlWr7+RXpIMftbcgemLsvheCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc153a977e87dcf09dc64068609b65c6022f0115688ed6fad30f654f9f0a2814","last_reissued_at":"2026-07-10T01:19:55.882447Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:55.882447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.08625","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":"2026-07-10T01:19:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X7A5ntm/8OvP/TgZ+2nq+QUuJG69fBflCrDHyFAkS15LleJThlLqLvdmbzeK8CUGRaVHkxkcygYWGwpxdAxKBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:46:09.319262Z"},"content_sha256":"7f540fe74373f59206dde198c5673c8c0881ce1772bdecd214bbda3542782a60","schema_version":"1.0","event_id":"sha256:7f540fe74373f59206dde198c5673c8c0881ce1772bdecd214bbda3542782a60"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3QKTVF36Q7OPBHOGIBUGBG3FYY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The complexities of patient-centred conversational artificial intelligence","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Benjamin W. Nelson, Bingyu Mao, Donny Cheung, Gary S. Collins, Jo\\~ao Matos, Jonathan Amar, Michail Ouroutzoglou, Nan Li, Olivia Buege, Paula Dhiman, Paul Varghese","submitted_at":"2026-07-09T15:56:55Z","abstract_excerpt":"Consumer-facing health chatbots powered by large language models (LLMs) are increasingly used for symptom assessment. However, chatbot development and evaluation often rely on cooperative, articulate, simulated patients. We analysed 2,053 real patient-chatbot conversations and found that communication patterns and expression of emotions vary widely across users. We developed a patient simulator that separately models clinical content, emotional state, conversational strategy, and communication style. In a Turing-inspired evaluation of realism with 15 human graders, simulated conversations were"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08625","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/2607.08625/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":"2026-07-10T01:19:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"obqf/CQHVBiRUCgDkyJZzQ7aFphezS2EOq9Sg/UuQS+RgMawgYULukpt3b76va3UlTIPGdUagQXkiPlXF0/gCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:46:09.319761Z"},"content_sha256":"66fe05dfca50397bd749c8fd30322b5294596f1fa7c29ba94b4542a3dfacd954","schema_version":"1.0","event_id":"sha256:66fe05dfca50397bd749c8fd30322b5294596f1fa7c29ba94b4542a3dfacd954"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:3QKTVF36Q7OPBHOGIBUGBG3FYY","target":"integrity","payload":{"note":"URL 'https://github.com/joamats/conversational_ai' returned status 404 (Not Found) at last check.","snippet":null,"arxiv_id":"2607.08625","detector":"external_links","evidence":{"url":"https://github.com/joamats/conversational_ai","final_url":"https://github.com/joamats/conversational_ai","host_kind":"github","status_code":404,"status_text":"Not Found","verdict_class":"incontrovertible","checked_at_unix":1783683312.2747374},"severity":"critical","ref_index":null,"audited_at":"2026-07-10T11:35:18.698034Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#external_links","external_url":"https://github.com/joamats/conversational_ai","finding_type":"dead_code_link","evidence_hash":"599d513ea79511b9814d8b3aea88f47a21e9c794f8f318491f7fbe494dd697ad","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":11948,"payload_sha256":"80fc57c13e591f7e758762d335182fe3aaa9c28402026022f2a32fcbae32b86f","signature_b64":"lxk5e4G6vbExdfTFQ9krNTE6myyF6zw+d8txUFOtv0NIa42O9nRhEgeg2W0NC4gqw1f4X8BgPDFesDVMwkHXDQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-10T11:39:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1xErj3Dt6VlyKFUpWBuf4YtDPLuhqEdBeOA0/UBS8ftsgDEQg+7Shs4Z7czkXeLiBJstmM3Nz/6Bso/pNJV1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:46:09.323036Z"},"content_sha256":"15e479d2939e796c0a560b99fce53ed3e6dcdff06a5ae309a5410e4b702097e7","schema_version":"1.0","event_id":"sha256:15e479d2939e796c0a560b99fce53ed3e6dcdff06a5ae309a5410e4b702097e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3QKTVF36Q7OPBHOGIBUGBG3FYY/bundle.json","state_url":"https://pith.science/pith/3QKTVF36Q7OPBHOGIBUGBG3FYY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3QKTVF36Q7OPBHOGIBUGBG3FYY/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":"2026-08-06T12:46:09Z","links":{"resolver":"https://pith.science/pith/3QKTVF36Q7OPBHOGIBUGBG3FYY","bundle":"https://pith.science/pith/3QKTVF36Q7OPBHOGIBUGBG3FYY/bundle.json","state":"https://pith.science/pith/3QKTVF36Q7OPBHOGIBUGBG3FYY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3QKTVF36Q7OPBHOGIBUGBG3FYY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3QKTVF36Q7OPBHOGIBUGBG3FYY","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a23aa553efa147bbd7ac6f15bbfa38520656406fc785700c58f114c348ab8c9f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T15:56:55Z","title_canon_sha256":"772d3105d74e62150cadda7a742e38a09016f73d0716f66da98b8a0ea718237e"},"schema_version":"1.0","source":{"id":"2607.08625","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08625","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08625v1","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08625","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"pith_short_12","alias_value":"3QKTVF36Q7OP","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"pith_short_16","alias_value":"3QKTVF36Q7OPBHOG","created_at":"2026-07-10T01:19:55Z"},{"alias_kind":"pith_short_8","alias_value":"3QKTVF36","created_at":"2026-07-10T01:19:55Z"}],"graph_snapshots":[{"event_id":"sha256:66fe05dfca50397bd749c8fd30322b5294596f1fa7c29ba94b4542a3dfacd954","target":"graph","created_at":"2026-07-10T01:19:55Z","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/2607.08625/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Consumer-facing health chatbots powered by large language models (LLMs) are increasingly used for symptom assessment. However, chatbot development and evaluation often rely on cooperative, articulate, simulated patients. We analysed 2,053 real patient-chatbot conversations and found that communication patterns and expression of emotions vary widely across users. We developed a patient simulator that separately models clinical content, emotional state, conversational strategy, and communication style. In a Turing-inspired evaluation of realism with 15 human graders, simulated conversations were","authors_text":"Benjamin W. Nelson, Bingyu Mao, Donny Cheung, Gary S. Collins, Jo\\~ao Matos, Jonathan Amar, Michail Ouroutzoglou, Nan Li, Olivia Buege, Paula Dhiman, Paul Varghese","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T15:56:55Z","title":"The complexities of patient-centred conversational artificial intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08625","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":"sha256:7f540fe74373f59206dde198c5673c8c0881ce1772bdecd214bbda3542782a60","target":"record","created_at":"2026-07-10T01:19:55Z","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":"a23aa553efa147bbd7ac6f15bbfa38520656406fc785700c58f114c348ab8c9f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T15:56:55Z","title_canon_sha256":"772d3105d74e62150cadda7a742e38a09016f73d0716f66da98b8a0ea718237e"},"schema_version":"1.0","source":{"id":"2607.08625","kind":"arxiv","version":1}},"canonical_sha256":"dc153a977e87dcf09dc64068609b65c6022f0115688ed6fad30f654f9f0a2814","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc153a977e87dcf09dc64068609b65c6022f0115688ed6fad30f654f9f0a2814","first_computed_at":"2026-07-10T01:19:55.882447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:55.882447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JcR8NXYDOHfN6SSteEfwTlbHUEGkU1TOzYyR03hcba9yoaw79tzI5a1lx96VVLlWr7+RXpIMftbcgemLsvheCQ==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:55.882874Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08625","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f540fe74373f59206dde198c5673c8c0881ce1772bdecd214bbda3542782a60","sha256:66fe05dfca50397bd749c8fd30322b5294596f1fa7c29ba94b4542a3dfacd954","sha256:15e479d2939e796c0a560b99fce53ed3e6dcdff06a5ae309a5410e4b702097e7"],"state_sha256":"13c2759c92c01a13bbffcb8fa044144517530fa6bdd15250466df682d743e2e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y6QdCtH4oU1w/Z6jTEGFM1cKUNgam8c/YjJ9Sq+88Wp7azOKZQyEekyuqEdFu1Q8702yPB5RcEofBVBeHeC1Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T12:46:09.325121Z","bundle_sha256":"faaa7a861d7361c8dd32b2ad880bdb22eac2e4f31ad692458d40987c00fe3b8a"}}