{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:L5IN6QO6B45SN6EZOFLNF7KUOV","short_pith_number":"pith:L5IN6QO6","schema_version":"1.0","canonical_sha256":"5f50df41de0f3b26f8997156d2fd547545e89a1c55ca897b2742e192ea9c0c72","source":{"kind":"arxiv","id":"2203.15144","version":1},"attestation_state":"computed","paper":{"title":"Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.SI"],"primary_cat":"cs.CL","authors_text":"Adam S. Miner, Ashish Sharma, David C. Atkins, Inna W. Lin, Tim Althoff","submitted_at":"2022-03-28T23:37:08Z","abstract_excerpt":"Advances in artificial intelligence (AI) are enabling systems that augment and collaborate with humans to perform simple, mechanistic tasks like scheduling meetings and grammar-checking text. However, such Human-AI collaboration poses challenges for more complex, creative tasks, such as carrying out empathic conversations, due to difficulties of AI systems in understanding complex human emotions and the open-ended nature of these tasks. Here, we focus on peer-to-peer mental health support, a setting in which empathy is critical for success, and examine how AI can collaborate with humans to fac"},"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":"2203.15144","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-28T23:37:08Z","cross_cats_sorted":["cs.HC","cs.SI"],"title_canon_sha256":"50abb6194380aa9101b8b9a8bfdce9147cf6d942081292a612b5a2826fdc525b","abstract_canon_sha256":"2ce7535a90ea5fb9b3585d728fa7f9f4ceeff2d93e1553429e61a834a1c04d50"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:22.074979Z","signature_b64":"m9rNJMt0D0QScGrK0B9Tdj7jLSuUpMMpwt/Wo6lwDQGEGqB37YeNBc95BOSW2pxjc7WkiEb3m0HXhCdGjZpBBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f50df41de0f3b26f8997156d2fd547545e89a1c55ca897b2742e192ea9c0c72","last_reissued_at":"2026-07-05T04:09:22.074522Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:22.074522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.SI"],"primary_cat":"cs.CL","authors_text":"Adam S. Miner, Ashish Sharma, David C. Atkins, Inna W. Lin, Tim Althoff","submitted_at":"2022-03-28T23:37:08Z","abstract_excerpt":"Advances in artificial intelligence (AI) are enabling systems that augment and collaborate with humans to perform simple, mechanistic tasks like scheduling meetings and grammar-checking text. However, such Human-AI collaboration poses challenges for more complex, creative tasks, such as carrying out empathic conversations, due to difficulties of AI systems in understanding complex human emotions and the open-ended nature of these tasks. Here, we focus on peer-to-peer mental health support, a setting in which empathy is critical for success, and examine how AI can collaborate with humans to fac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.15144","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/2203.15144/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":"2203.15144","created_at":"2026-07-05T04:09:22.074583+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.15144v1","created_at":"2026-07-05T04:09:22.074583+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.15144","created_at":"2026-07-05T04:09:22.074583+00:00"},{"alias_kind":"pith_short_12","alias_value":"L5IN6QO6B45S","created_at":"2026-07-05T04:09:22.074583+00:00"},{"alias_kind":"pith_short_16","alias_value":"L5IN6QO6B45SN6EZ","created_at":"2026-07-05T04:09:22.074583+00:00"},{"alias_kind":"pith_short_8","alias_value":"L5IN6QO6","created_at":"2026-07-05T04:09:22.074583+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2502.01493","citing_title":"The Human-AI Handshake Framework: A Bidirectional Approach to Human-AI Collaboration","ref_index":1055,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV","json":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV.json","graph_json":"https://pith.science/api/pith-number/L5IN6QO6B45SN6EZOFLNF7KUOV/graph.json","events_json":"https://pith.science/api/pith-number/L5IN6QO6B45SN6EZOFLNF7KUOV/events.json","paper":"https://pith.science/paper/L5IN6QO6"},"agent_actions":{"view_html":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV","download_json":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV.json","view_paper":"https://pith.science/paper/L5IN6QO6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.15144&json=true","fetch_graph":"https://pith.science/api/pith-number/L5IN6QO6B45SN6EZOFLNF7KUOV/graph.json","fetch_events":"https://pith.science/api/pith-number/L5IN6QO6B45SN6EZOFLNF7KUOV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV/action/storage_attestation","attest_author":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV/action/author_attestation","sign_citation":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV/action/citation_signature","submit_replication":"https://pith.science/pith/L5IN6QO6B45SN6EZOFLNF7KUOV/action/replication_record"}},"created_at":"2026-07-05T04:09:22.074583+00:00","updated_at":"2026-07-05T04:09:22.074583+00:00"}