{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LVSB5LSLQ3564O4Q7WAS7TVVXQ","short_pith_number":"pith:LVSB5LSL","canonical_record":{"source":{"id":"2506.19652","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T14:15:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2a99ff263a62aa080bcae9b917025eeae77eb64a7fee6f1bf3c6aa079a70391a","abstract_canon_sha256":"b547074e062d37c840ef2d6aa5c1abad871557f6af1fddcbd395cf28be5a9c23"},"schema_version":"1.0"},"canonical_sha256":"5d641eae4b86fbee3b90fd812fceb5bc0fba9d8e7e0f130e66b34542f2090f69","source":{"kind":"arxiv","id":"2506.19652","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19652","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19652v2","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19652","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"pith_short_12","alias_value":"LVSB5LSLQ356","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"pith_short_16","alias_value":"LVSB5LSLQ3564O4Q","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"pith_short_8","alias_value":"LVSB5LSL","created_at":"2026-07-05T11:33:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LVSB5LSLQ3564O4Q7WAS7TVVXQ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.19652","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T14:15:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2a99ff263a62aa080bcae9b917025eeae77eb64a7fee6f1bf3c6aa079a70391a","abstract_canon_sha256":"b547074e062d37c840ef2d6aa5c1abad871557f6af1fddcbd395cf28be5a9c23"},"schema_version":"1.0"},"canonical_sha256":"5d641eae4b86fbee3b90fd812fceb5bc0fba9d8e7e0f130e66b34542f2090f69","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:33:25.270304Z","signature_b64":"0weAiET3g7LWl8zODbeq1m/KSBasZ6SuuGMLfo+zg0XPPIt4aMPjprgmd/RPlMOfRwyCKaItsYN845HxhM4PAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d641eae4b86fbee3b90fd812fceb5bc0fba9d8e7e0f130e66b34542f2090f69","last_reissued_at":"2026-07-05T11:33:25.269822Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:33:25.269822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.19652","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":"2026-07-05T11:33:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l8NlLi8R/KxPIBAZvH3y6YdPpNjNuAY9MEDmvSBQguTUIeGSxR8M531+6nlaaX/ga2vnGvYpgnzavNF3026ADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:14:57.326553Z"},"content_sha256":"3a4d73183f340bf098f3ae812005f422619c37e9bc99343fb7018e6eade34f5e","schema_version":"1.0","event_id":"sha256:3a4d73183f340bf098f3ae812005f422619c37e9bc99343fb7018e6eade34f5e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LVSB5LSLQ3564O4Q7WAS7TVVXQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Catherine Pelachaud, Florian Pecune, Lucie Galland","submitted_at":"2025-06-24T14:15:26Z","abstract_excerpt":"In this work, we propose a novel framework that integrates large language models (LLMs) with an RL-based dialogue manager for open-ended dialogue with a specific goal. By leveraging hierarchical reinforcement learning to model the structured phases of dialogue and employ meta-learning to enhance adaptability across diverse user profiles, our approach enhances adaptability and efficiency, enabling the system to learn from limited data, transition fluidly between dialogue phases, and personalize responses to heterogeneous patient needs. We apply our framework to Motivational Interviews, aiming t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19652","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/2506.19652/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":"2026-07-05T11:33:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9eDCjLbogaadP+C3vCjfGHpQ/g0OsS9xq987IbtFVnxDToOfFEJKABf4Cnjm6lPlyc0pBubyAP04oQK/x5n6Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:14:57.328448Z"},"content_sha256":"5bc6bad3b9fcbc74810ef877c1385f66f853344a2d2b0795f83c8cbb390672cc","schema_version":"1.0","event_id":"sha256:5bc6bad3b9fcbc74810ef877c1385f66f853344a2d2b0795f83c8cbb390672cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LVSB5LSLQ3564O4Q7WAS7TVVXQ/bundle.json","state_url":"https://pith.science/pith/LVSB5LSLQ3564O4Q7WAS7TVVXQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LVSB5LSLQ3564O4Q7WAS7TVVXQ/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":"2026-08-16T01:14:57Z","links":{"resolver":"https://pith.science/pith/LVSB5LSLQ3564O4Q7WAS7TVVXQ","bundle":"https://pith.science/pith/LVSB5LSLQ3564O4Q7WAS7TVVXQ/bundle.json","state":"https://pith.science/pith/LVSB5LSLQ3564O4Q7WAS7TVVXQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LVSB5LSLQ3564O4Q7WAS7TVVXQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LVSB5LSLQ3564O4Q7WAS7TVVXQ","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":"b547074e062d37c840ef2d6aa5c1abad871557f6af1fddcbd395cf28be5a9c23","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T14:15:26Z","title_canon_sha256":"2a99ff263a62aa080bcae9b917025eeae77eb64a7fee6f1bf3c6aa079a70391a"},"schema_version":"1.0","source":{"id":"2506.19652","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19652","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19652v2","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19652","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"pith_short_12","alias_value":"LVSB5LSLQ356","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"pith_short_16","alias_value":"LVSB5LSLQ3564O4Q","created_at":"2026-07-05T11:33:25Z"},{"alias_kind":"pith_short_8","alias_value":"LVSB5LSL","created_at":"2026-07-05T11:33:25Z"}],"graph_snapshots":[{"event_id":"sha256:5bc6bad3b9fcbc74810ef877c1385f66f853344a2d2b0795f83c8cbb390672cc","target":"graph","created_at":"2026-07-05T11:33:25Z","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/2506.19652/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we propose a novel framework that integrates large language models (LLMs) with an RL-based dialogue manager for open-ended dialogue with a specific goal. By leveraging hierarchical reinforcement learning to model the structured phases of dialogue and employ meta-learning to enhance adaptability across diverse user profiles, our approach enhances adaptability and efficiency, enabling the system to learn from limited data, transition fluidly between dialogue phases, and personalize responses to heterogeneous patient needs. We apply our framework to Motivational Interviews, aiming t","authors_text":"Catherine Pelachaud, Florian Pecune, Lucie Galland","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T14:15:26Z","title":"Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19652","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":"sha256:3a4d73183f340bf098f3ae812005f422619c37e9bc99343fb7018e6eade34f5e","target":"record","created_at":"2026-07-05T11:33:25Z","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":"b547074e062d37c840ef2d6aa5c1abad871557f6af1fddcbd395cf28be5a9c23","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-24T14:15:26Z","title_canon_sha256":"2a99ff263a62aa080bcae9b917025eeae77eb64a7fee6f1bf3c6aa079a70391a"},"schema_version":"1.0","source":{"id":"2506.19652","kind":"arxiv","version":2}},"canonical_sha256":"5d641eae4b86fbee3b90fd812fceb5bc0fba9d8e7e0f130e66b34542f2090f69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d641eae4b86fbee3b90fd812fceb5bc0fba9d8e7e0f130e66b34542f2090f69","first_computed_at":"2026-07-05T11:33:25.269822Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:33:25.269822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0weAiET3g7LWl8zODbeq1m/KSBasZ6SuuGMLfo+zg0XPPIt4aMPjprgmd/RPlMOfRwyCKaItsYN845HxhM4PAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:33:25.270304Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.19652","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a4d73183f340bf098f3ae812005f422619c37e9bc99343fb7018e6eade34f5e","sha256:5bc6bad3b9fcbc74810ef877c1385f66f853344a2d2b0795f83c8cbb390672cc"],"state_sha256":"61b4fd0820e8ca42ab93606db607fc81c70f5b0234f68e49c28b7031f886b4e0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KmE+mQ5/MECvGyoZJls2nNaGgrVoNyVG4kISaoC7e6/5/ZagIYkW2FUvpMpI+h2G52AyRndg8ndWqjRH8iVsCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T01:14:57.333361Z","bundle_sha256":"94fa5791ae5bdbdab56245fc5258ce52fb96ea5608fcd7e8fcd23b781304a4d0"}}