{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:673P44UA3O6IFPVIKJ66EJWTBU","short_pith_number":"pith:673P44UA","schema_version":"1.0","canonical_sha256":"f7f6fe7280dbbc82bea8527de226d30d36154f9edf50ba1a707d83d8f1a15ca9","source":{"kind":"arxiv","id":"2412.02987","version":1},"attestation_state":"computed","paper":{"title":"Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CL","authors_text":"XiuYu Zhang, Zening Luo","submitted_at":"2024-12-04T03:02:46Z","abstract_excerpt":"Mental health has increasingly become a global issue that reveals the limitations of traditional conversational psychotherapy, constrained by location, time, expense, and privacy concerns. In response to these challenges, we introduce SoulSpeak, a Large Language Model (LLM)-enabled chatbot designed to democratize access to psychotherapy. SoulSpeak improves upon the capabilities of standard LLM-enabled chatbots by incorporating a novel dual-memory component that combines short-term and long-term context via Retrieval Augmented Generation (RAG) to offer personalized responses while ensuring the "},"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":"2412.02987","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-04T03:02:46Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"ea8735559a931cbd502d94cbd1ab99e3bc2fce45f1cf9cf613de6073d5665a45","abstract_canon_sha256":"219faf8961d5e049f5d9258783cac990d240ad9e4dd48edc09d536d02339b394"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:23.132920Z","signature_b64":"q8Pifzi4Y0PnJ0+5u3xvqRtlMRfVBnVvTtgCt8/0ZYKx+zQFGXYgZvHT1+qUUgLtaNV7M8P7OSGhAqfIkwFLBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7f6fe7280dbbc82bea8527de226d30d36154f9edf50ba1a707d83d8f1a15ca9","last_reissued_at":"2026-07-05T09:44:23.132430Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:23.132430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CL","authors_text":"XiuYu Zhang, Zening Luo","submitted_at":"2024-12-04T03:02:46Z","abstract_excerpt":"Mental health has increasingly become a global issue that reveals the limitations of traditional conversational psychotherapy, constrained by location, time, expense, and privacy concerns. In response to these challenges, we introduce SoulSpeak, a Large Language Model (LLM)-enabled chatbot designed to democratize access to psychotherapy. SoulSpeak improves upon the capabilities of standard LLM-enabled chatbots by incorporating a novel dual-memory component that combines short-term and long-term context via Retrieval Augmented Generation (RAG) to offer personalized responses while ensuring the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02987","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/2412.02987/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":"2412.02987","created_at":"2026-07-05T09:44:23.132490+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.02987v1","created_at":"2026-07-05T09:44:23.132490+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02987","created_at":"2026-07-05T09:44:23.132490+00:00"},{"alias_kind":"pith_short_12","alias_value":"673P44UA3O6I","created_at":"2026-07-05T09:44:23.132490+00:00"},{"alias_kind":"pith_short_16","alias_value":"673P44UA3O6IFPVI","created_at":"2026-07-05T09:44:23.132490+00:00"},{"alias_kind":"pith_short_8","alias_value":"673P44UA","created_at":"2026-07-05T09:44:23.132490+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.21352","citing_title":"CARE: Counselor-Aligned Response Engine for Online Mental-Health Support","ref_index":41,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU","json":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU.json","graph_json":"https://pith.science/api/pith-number/673P44UA3O6IFPVIKJ66EJWTBU/graph.json","events_json":"https://pith.science/api/pith-number/673P44UA3O6IFPVIKJ66EJWTBU/events.json","paper":"https://pith.science/paper/673P44UA"},"agent_actions":{"view_html":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU","download_json":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU.json","view_paper":"https://pith.science/paper/673P44UA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.02987&json=true","fetch_graph":"https://pith.science/api/pith-number/673P44UA3O6IFPVIKJ66EJWTBU/graph.json","fetch_events":"https://pith.science/api/pith-number/673P44UA3O6IFPVIKJ66EJWTBU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU/action/storage_attestation","attest_author":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU/action/author_attestation","sign_citation":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU/action/citation_signature","submit_replication":"https://pith.science/pith/673P44UA3O6IFPVIKJ66EJWTBU/action/replication_record"}},"created_at":"2026-07-05T09:44:23.132490+00:00","updated_at":"2026-07-05T09:44:23.132490+00:00"}