{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:6MMLWFEN3DF6U756URT67MRDXI","short_pith_number":"pith:6MMLWFEN","schema_version":"1.0","canonical_sha256":"f318bb148dd8cbea7fbea467efb223ba04c171f723e7d09a60ac16a6701f5723","source":{"kind":"arxiv","id":"2410.19155","version":3},"attestation_state":"computed","paper":{"title":"Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Gaurav Verma, Harneet Singh Khanuja, Jose Suarez Campayo, Michael L. Birnbaum, Mohit Chandra, Munmun De Choudhury, Siddharth Sriraman, Zihang Li","submitted_at":"2024-10-24T20:49:22Z","abstract_excerpt":"Adverse Drug Reactions (ADRs) from psychiatric medications are the leading cause of hospitalizations among mental health patients. With healthcare systems and online communities facing limitations in resolving ADR-related issues, Large Language Models (LLMs) have the potential to fill this gap. Despite the increasing capabilities of LLMs, past research has not explored their capabilities in detecting ADRs related to psychiatric medications or in providing effective harm reduction strategies. To address this, we introduce the Psych-ADR benchmark and the Adverse Drug Reaction Response Assessment"},"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":"2410.19155","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-24T20:49:22Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"53fc792cbd4bee316a4ade5e9d5392251c33d9099ba9e0df04e2c2931ea8c517","abstract_canon_sha256":"8f872f630d00414d419eccfac414f3207f13bd41abf571136542516a13d781b9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:57:47.950132Z","signature_b64":"SipLVO+8ZYGHjX/Y7hfXOCpERh3xbD163pdfsdexXM+IlutwVfuagrD7L/wn2efSdBroHxCCsw9/4dBMapRJAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f318bb148dd8cbea7fbea467efb223ba04c171f723e7d09a60ac16a6701f5723","last_reissued_at":"2026-07-05T09:57:47.949672Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:57:47.949672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Gaurav Verma, Harneet Singh Khanuja, Jose Suarez Campayo, Michael L. Birnbaum, Mohit Chandra, Munmun De Choudhury, Siddharth Sriraman, Zihang Li","submitted_at":"2024-10-24T20:49:22Z","abstract_excerpt":"Adverse Drug Reactions (ADRs) from psychiatric medications are the leading cause of hospitalizations among mental health patients. With healthcare systems and online communities facing limitations in resolving ADR-related issues, Large Language Models (LLMs) have the potential to fill this gap. Despite the increasing capabilities of LLMs, past research has not explored their capabilities in detecting ADRs related to psychiatric medications or in providing effective harm reduction strategies. To address this, we introduce the Psych-ADR benchmark and the Adverse Drug Reaction Response Assessment"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.19155","kind":"arxiv","version":3},"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/2410.19155/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":"2410.19155","created_at":"2026-07-05T09:57:47.949730+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.19155v3","created_at":"2026-07-05T09:57:47.949730+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.19155","created_at":"2026-07-05T09:57:47.949730+00:00"},{"alias_kind":"pith_short_12","alias_value":"6MMLWFEN3DF6","created_at":"2026-07-05T09:57:47.949730+00:00"},{"alias_kind":"pith_short_16","alias_value":"6MMLWFEN3DF6U756","created_at":"2026-07-05T09:57:47.949730+00:00"},{"alias_kind":"pith_short_8","alias_value":"6MMLWFEN","created_at":"2026-07-05T09:57:47.949730+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2504.13277","citing_title":"Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces","ref_index":28,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI","json":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI.json","graph_json":"https://pith.science/api/pith-number/6MMLWFEN3DF6U756URT67MRDXI/graph.json","events_json":"https://pith.science/api/pith-number/6MMLWFEN3DF6U756URT67MRDXI/events.json","paper":"https://pith.science/paper/6MMLWFEN"},"agent_actions":{"view_html":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI","download_json":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI.json","view_paper":"https://pith.science/paper/6MMLWFEN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.19155&json=true","fetch_graph":"https://pith.science/api/pith-number/6MMLWFEN3DF6U756URT67MRDXI/graph.json","fetch_events":"https://pith.science/api/pith-number/6MMLWFEN3DF6U756URT67MRDXI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI/action/storage_attestation","attest_author":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI/action/author_attestation","sign_citation":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI/action/citation_signature","submit_replication":"https://pith.science/pith/6MMLWFEN3DF6U756URT67MRDXI/action/replication_record"}},"created_at":"2026-07-05T09:57:47.949730+00:00","updated_at":"2026-07-05T09:57:47.949730+00:00"}