{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:4AEM436GQQCVEY2I7YSRF4HMJ7","short_pith_number":"pith:4AEM436G","schema_version":"1.0","canonical_sha256":"e008ce6fc68405526348fe2512f0ec4fd9f29b904340dec20806a7834256729a","source":{"kind":"arxiv","id":"2501.15826","version":1},"attestation_state":"computed","paper":{"title":"MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question Answer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dexi Liu, Qi Chen","submitted_at":"2025-01-27T07:18:47Z","abstract_excerpt":"The Mental Health Question Answer (MHQA) task requires the seeker and supporter to complete the support process in one-turn dialogue. Given the richness of help-seeker posts, supporters must thoroughly understand the content and provide logical, comprehensive, and well-structured responses. Previous works in MHQA mostly focus on single-agent approaches based on the cognitive element of Cognitive Behavioral Therapy (CBT), but they overlook the interactions among various CBT elements, such as emotion and cognition. This limitation hinders the models' ability to thoroughly understand the distress"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.15826","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T07:18:47Z","cross_cats_sorted":[],"title_canon_sha256":"fdf7dd94384f158a24920ed7164e332c16e2bff65f984b645770dc8d2015e891","abstract_canon_sha256":"c7c7a7ddb164ae00b432385656afa565661f327b430db9ffd7c2663078b6cdbc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:05:51.063110Z","signature_b64":"5J/gZuzTFaAkQzJfUq64JbaeecnqoodIesCwR6w96ut1TqOGA5pgI6wZwqNDdGu9gPP/g8wJTBbYZ9obPZApAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e008ce6fc68405526348fe2512f0ec4fd9f29b904340dec20806a7834256729a","last_reissued_at":"2026-07-05T10:05:51.062702Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:05:51.062702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question Answer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dexi Liu, Qi Chen","submitted_at":"2025-01-27T07:18:47Z","abstract_excerpt":"The Mental Health Question Answer (MHQA) task requires the seeker and supporter to complete the support process in one-turn dialogue. Given the richness of help-seeker posts, supporters must thoroughly understand the content and provide logical, comprehensive, and well-structured responses. Previous works in MHQA mostly focus on single-agent approaches based on the cognitive element of Cognitive Behavioral Therapy (CBT), but they overlook the interactions among various CBT elements, such as emotion and cognition. This limitation hinders the models' ability to thoroughly understand the distress"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15826","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/2501.15826/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.15826","created_at":"2026-07-05T10:05:51.062759+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.15826v1","created_at":"2026-07-05T10:05:51.062759+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15826","created_at":"2026-07-05T10:05:51.062759+00:00"},{"alias_kind":"pith_short_12","alias_value":"4AEM436GQQCV","created_at":"2026-07-05T10:05:51.062759+00:00"},{"alias_kind":"pith_short_16","alias_value":"4AEM436GQQCVEY2I","created_at":"2026-07-05T10:05:51.062759+00:00"},{"alias_kind":"pith_short_8","alias_value":"4AEM436G","created_at":"2026-07-05T10:05:51.062759+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7","json":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7.json","graph_json":"https://pith.science/api/pith-number/4AEM436GQQCVEY2I7YSRF4HMJ7/graph.json","events_json":"https://pith.science/api/pith-number/4AEM436GQQCVEY2I7YSRF4HMJ7/events.json","paper":"https://pith.science/paper/4AEM436G"},"agent_actions":{"view_html":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7","download_json":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7.json","view_paper":"https://pith.science/paper/4AEM436G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.15826&json=true","fetch_graph":"https://pith.science/api/pith-number/4AEM436GQQCVEY2I7YSRF4HMJ7/graph.json","fetch_events":"https://pith.science/api/pith-number/4AEM436GQQCVEY2I7YSRF4HMJ7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7/action/storage_attestation","attest_author":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7/action/author_attestation","sign_citation":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7/action/citation_signature","submit_replication":"https://pith.science/pith/4AEM436GQQCVEY2I7YSRF4HMJ7/action/replication_record"}},"created_at":"2026-07-05T10:05:51.062759+00:00","updated_at":"2026-07-05T10:05:51.062759+00:00"}