{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4JUJBXHALHLGWRNG26BD3S33YX","short_pith_number":"pith:4JUJBXHA","canonical_record":{"source":{"id":"2408.06527","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T23:19:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b23fc4a20aa88d8f14d23b77715dd84f502e13c091c63bca7fd538e164350780","abstract_canon_sha256":"b3439d3b2dda18d094d2ddec07fd3036457ba73814de0d91c06f882100af6917"},"schema_version":"1.0"},"canonical_sha256":"e26890dce059d66b45a6d7823dcb7bc5c8bd1eb02bb23af2e1f3d641e945f313","source":{"kind":"arxiv","id":"2408.06527","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.06527","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"arxiv_version","alias_value":"2408.06527v2","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.06527","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"pith_short_12","alias_value":"4JUJBXHALHLG","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"pith_short_16","alias_value":"4JUJBXHALHLGWRNG","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"pith_short_8","alias_value":"4JUJBXHA","created_at":"2026-07-05T09:50:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4JUJBXHALHLGWRNG26BD3S33YX","target":"record","payload":{"canonical_record":{"source":{"id":"2408.06527","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T23:19:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b23fc4a20aa88d8f14d23b77715dd84f502e13c091c63bca7fd538e164350780","abstract_canon_sha256":"b3439d3b2dda18d094d2ddec07fd3036457ba73814de0d91c06f882100af6917"},"schema_version":"1.0"},"canonical_sha256":"e26890dce059d66b45a6d7823dcb7bc5c8bd1eb02bb23af2e1f3d641e945f313","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:50:32.557200Z","signature_b64":"ME9bWgVrxDbqA2YpfmwH19YYvsZsvjQmroS/r1FcCo1nMHXwTIsEYmH7FE5jiyjHzaZTz4sbivt5TYp514fTBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e26890dce059d66b45a6d7823dcb7bc5c8bd1eb02bb23af2e1f3d641e945f313","last_reissued_at":"2026-07-05T09:50:32.556671Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:50:32.556671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.06527","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:50:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qaD6C9z6evgoMrCVX3GyXO5eSzD2NVWfnwybhGRPizYBwQv6pxSuWaBqYl08p22BceWsxSk+yGqy6Yr+hd/NAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:27:31.418268Z"},"content_sha256":"a9fbd3d237ded74e8f9656ef3903d2a2d87eb6cf5d41c7a29bf9b67b02d9a58e","schema_version":"1.0","event_id":"sha256:a9fbd3d237ded74e8f9656ef3903d2a2d87eb6cf5d41c7a29bf9b67b02d9a58e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4JUJBXHALHLGWRNG26BD3S33YX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Abdallah El Ali, Jan de Wit, Jiahuan Pei, Jos A.Bosch, Pengjie Ren, Xiao Tang, Xin Sun, Zhuying Li","submitted_at":"2024-08-12T23:19:02Z","abstract_excerpt":"Recent advancements in large language models (LLMs) have shown promise in generating psychotherapeutic dialogues, particularly in the context of motivational interviewing (MI). However, the inherent lack of transparency in LLM outputs presents significant challenges given the sensitive nature of psychotherapy. Applying MI strategies, a set of MI skills, to generate more controllable therapeutic-adherent conversations with explainability provides a possible solution. In this work, we explore the alignment of LLMs with MI strategies by first prompting the LLMs to predict the appropriate strategi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.06527","kind":"arxiv","version":2},"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/2408.06527/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":"2026-07-05T09:50:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f6qyjhJSwxgc8NYuUFuzrwbqpHxpIMDS3CTH3rcjgWOt2HU0GqVk1DvT+gBV6nyvDMpMnoQIDFkidAX+SeBJAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:27:31.418780Z"},"content_sha256":"505cfed0c104e8eef5d0e80599566a48741b14cdddf2cbda64cefe4e9db1ab41","schema_version":"1.0","event_id":"sha256:505cfed0c104e8eef5d0e80599566a48741b14cdddf2cbda64cefe4e9db1ab41"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4JUJBXHALHLGWRNG26BD3S33YX/bundle.json","state_url":"https://pith.science/pith/4JUJBXHALHLGWRNG26BD3S33YX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4JUJBXHALHLGWRNG26BD3S33YX/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":"2026-08-10T13:27:31Z","links":{"resolver":"https://pith.science/pith/4JUJBXHALHLGWRNG26BD3S33YX","bundle":"https://pith.science/pith/4JUJBXHALHLGWRNG26BD3S33YX/bundle.json","state":"https://pith.science/pith/4JUJBXHALHLGWRNG26BD3S33YX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4JUJBXHALHLGWRNG26BD3S33YX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4JUJBXHALHLGWRNG26BD3S33YX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b3439d3b2dda18d094d2ddec07fd3036457ba73814de0d91c06f882100af6917","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T23:19:02Z","title_canon_sha256":"b23fc4a20aa88d8f14d23b77715dd84f502e13c091c63bca7fd538e164350780"},"schema_version":"1.0","source":{"id":"2408.06527","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.06527","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"arxiv_version","alias_value":"2408.06527v2","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.06527","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"pith_short_12","alias_value":"4JUJBXHALHLG","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"pith_short_16","alias_value":"4JUJBXHALHLGWRNG","created_at":"2026-07-05T09:50:32Z"},{"alias_kind":"pith_short_8","alias_value":"4JUJBXHA","created_at":"2026-07-05T09:50:32Z"}],"graph_snapshots":[{"event_id":"sha256:505cfed0c104e8eef5d0e80599566a48741b14cdddf2cbda64cefe4e9db1ab41","target":"graph","created_at":"2026-07-05T09:50:32Z","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/2408.06527/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in large language models (LLMs) have shown promise in generating psychotherapeutic dialogues, particularly in the context of motivational interviewing (MI). However, the inherent lack of transparency in LLM outputs presents significant challenges given the sensitive nature of psychotherapy. Applying MI strategies, a set of MI skills, to generate more controllable therapeutic-adherent conversations with explainability provides a possible solution. In this work, we explore the alignment of LLMs with MI strategies by first prompting the LLMs to predict the appropriate strategi","authors_text":"Abdallah El Ali, Jan de Wit, Jiahuan Pei, Jos A.Bosch, Pengjie Ren, Xiao Tang, Xin Sun, Zhuying Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T23:19:02Z","title":"Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.06527","kind":"arxiv","version":2},"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:a9fbd3d237ded74e8f9656ef3903d2a2d87eb6cf5d41c7a29bf9b67b02d9a58e","target":"record","created_at":"2026-07-05T09:50:32Z","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":"b3439d3b2dda18d094d2ddec07fd3036457ba73814de0d91c06f882100af6917","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T23:19:02Z","title_canon_sha256":"b23fc4a20aa88d8f14d23b77715dd84f502e13c091c63bca7fd538e164350780"},"schema_version":"1.0","source":{"id":"2408.06527","kind":"arxiv","version":2}},"canonical_sha256":"e26890dce059d66b45a6d7823dcb7bc5c8bd1eb02bb23af2e1f3d641e945f313","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e26890dce059d66b45a6d7823dcb7bc5c8bd1eb02bb23af2e1f3d641e945f313","first_computed_at":"2026-07-05T09:50:32.556671Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:50:32.556671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ME9bWgVrxDbqA2YpfmwH19YYvsZsvjQmroS/r1FcCo1nMHXwTIsEYmH7FE5jiyjHzaZTz4sbivt5TYp514fTBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:50:32.557200Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.06527","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9fbd3d237ded74e8f9656ef3903d2a2d87eb6cf5d41c7a29bf9b67b02d9a58e","sha256:505cfed0c104e8eef5d0e80599566a48741b14cdddf2cbda64cefe4e9db1ab41"],"state_sha256":"afcaec44b7d8d6f03602f05e9719065b39032f1d72b7eee0d65ec87263af4a53"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Inf3aSIH7QoYthp5KlThshCn/DLwXOkP4vKxRTSoumNRNJlvRYe/TVqAPxwGN85aZ/h014DutMy2Ryr97pIvCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T13:27:31.423011Z","bundle_sha256":"5d3c0c90caa3cc16bd20590eea380548364729d04367718f04e1068bf2584507"}}