{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:IIIYDZ5XU3QW2GI3CKU7IGHNP3","short_pith_number":"pith:IIIYDZ5X","canonical_record":{"source":{"id":"2006.06814","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-11T20:55:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9a434045ea3a7cf31c42c73d38c253156d897a7d9f4f59bd290d03deb6b9854a","abstract_canon_sha256":"38a583009a5db3974cf5b42d79c918d0136da1a6135f25addae1e7d9ec3618b7"},"schema_version":"1.0"},"canonical_sha256":"421181e7b7a6e16d191b12a9f418ed7edfc1501dd57ab3e1c8055e24021b5c67","source":{"kind":"arxiv","id":"2006.06814","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06814","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06814v4","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06814","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"pith_short_12","alias_value":"IIIYDZ5XU3QW","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"pith_short_16","alias_value":"IIIYDZ5XU3QW2GI3","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"pith_short_8","alias_value":"IIIYDZ5X","created_at":"2026-07-05T02:16:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:IIIYDZ5XU3QW2GI3CKU7IGHNP3","target":"record","payload":{"canonical_record":{"source":{"id":"2006.06814","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-11T20:55:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9a434045ea3a7cf31c42c73d38c253156d897a7d9f4f59bd290d03deb6b9854a","abstract_canon_sha256":"38a583009a5db3974cf5b42d79c918d0136da1a6135f25addae1e7d9ec3618b7"},"schema_version":"1.0"},"canonical_sha256":"421181e7b7a6e16d191b12a9f418ed7edfc1501dd57ab3e1c8055e24021b5c67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:16:37.325382Z","signature_b64":"P/ACxFFgVIzzk/EkvzVm6gS9E0UgHOoGU7FbGg1ny2u3jsjkUhEiQ70G5iZnATIHvAQS08PcQj8w3C8Pwp1YBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"421181e7b7a6e16d191b12a9f418ed7edfc1501dd57ab3e1c8055e24021b5c67","last_reissued_at":"2026-07-05T02:16:37.324946Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:16:37.324946Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.06814","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:16:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fFTfyUuI7ZInr8Ey4o1LHDeVTqYzs2cYRhxcaHM3l6bHZGz7NkXQpD9Yds52mclPC95Jc1iWgTzWZLJ18/11Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:25:19.793716Z"},"content_sha256":"e93dee730144d77f77d811d846fb64f4dd4439b4302769669e540cf88a2a45cf","schema_version":"1.0","event_id":"sha256:e93dee730144d77f77d811d846fb64f4dd4439b4302769669e540cf88a2a45cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:IIIYDZ5XU3QW2GI3CKU7IGHNP3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Jianhong Wang, Tae-Kyun Kim, Yuan Zhang, Yunjie Gu","submitted_at":"2020-06-11T20:55:28Z","abstract_excerpt":"Designing task-oriented dialogue systems is a challenging research topic, since it needs not only to generate utterances fulfilling user requests but also to guarantee the comprehensibility. Many previous works trained end-to-end (E2E) models with supervised learning (SL), however, the bias in annotated system utterances remains as a bottleneck. Reinforcement learning (RL) deals with the problem through using non-differentiable evaluation metrics (e.g., the success rate) as rewards. Nonetheless, existing works with RL showed that the comprehensibility of generated system utterances could be co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06814","kind":"arxiv","version":4},"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/2006.06814/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":"2026-07-05T02:16:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nl3tXn/N8lB3eT2qpTgxDzqUtdEBspOPIyKkmD7DEmdXIvWUkdAzmLeEBBa74zxFLTcWXsPlIJv+g+meLJ/pAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:25:19.794212Z"},"content_sha256":"1190959ee121ae45fde01579f9486b59c02ed82b4942b6932c857af2653b012c","schema_version":"1.0","event_id":"sha256:1190959ee121ae45fde01579f9486b59c02ed82b4942b6932c857af2653b012c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IIIYDZ5XU3QW2GI3CKU7IGHNP3/bundle.json","state_url":"https://pith.science/pith/IIIYDZ5XU3QW2GI3CKU7IGHNP3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IIIYDZ5XU3QW2GI3CKU7IGHNP3/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":"2026-08-16T11:25:19Z","links":{"resolver":"https://pith.science/pith/IIIYDZ5XU3QW2GI3CKU7IGHNP3","bundle":"https://pith.science/pith/IIIYDZ5XU3QW2GI3CKU7IGHNP3/bundle.json","state":"https://pith.science/pith/IIIYDZ5XU3QW2GI3CKU7IGHNP3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IIIYDZ5XU3QW2GI3CKU7IGHNP3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:IIIYDZ5XU3QW2GI3CKU7IGHNP3","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":"38a583009a5db3974cf5b42d79c918d0136da1a6135f25addae1e7d9ec3618b7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-11T20:55:28Z","title_canon_sha256":"9a434045ea3a7cf31c42c73d38c253156d897a7d9f4f59bd290d03deb6b9854a"},"schema_version":"1.0","source":{"id":"2006.06814","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06814","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06814v4","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06814","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"pith_short_12","alias_value":"IIIYDZ5XU3QW","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"pith_short_16","alias_value":"IIIYDZ5XU3QW2GI3","created_at":"2026-07-05T02:16:37Z"},{"alias_kind":"pith_short_8","alias_value":"IIIYDZ5X","created_at":"2026-07-05T02:16:37Z"}],"graph_snapshots":[{"event_id":"sha256:1190959ee121ae45fde01579f9486b59c02ed82b4942b6932c857af2653b012c","target":"graph","created_at":"2026-07-05T02:16:37Z","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/2006.06814/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing task-oriented dialogue systems is a challenging research topic, since it needs not only to generate utterances fulfilling user requests but also to guarantee the comprehensibility. Many previous works trained end-to-end (E2E) models with supervised learning (SL), however, the bias in annotated system utterances remains as a bottleneck. Reinforcement learning (RL) deals with the problem through using non-differentiable evaluation metrics (e.g., the success rate) as rewards. Nonetheless, existing works with RL showed that the comprehensibility of generated system utterances could be co","authors_text":"Jianhong Wang, Tae-Kyun Kim, Yuan Zhang, Yunjie Gu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-11T20:55:28Z","title":"Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06814","kind":"arxiv","version":4},"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:e93dee730144d77f77d811d846fb64f4dd4439b4302769669e540cf88a2a45cf","target":"record","created_at":"2026-07-05T02:16:37Z","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":"38a583009a5db3974cf5b42d79c918d0136da1a6135f25addae1e7d9ec3618b7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-11T20:55:28Z","title_canon_sha256":"9a434045ea3a7cf31c42c73d38c253156d897a7d9f4f59bd290d03deb6b9854a"},"schema_version":"1.0","source":{"id":"2006.06814","kind":"arxiv","version":4}},"canonical_sha256":"421181e7b7a6e16d191b12a9f418ed7edfc1501dd57ab3e1c8055e24021b5c67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"421181e7b7a6e16d191b12a9f418ed7edfc1501dd57ab3e1c8055e24021b5c67","first_computed_at":"2026-07-05T02:16:37.324946Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:16:37.324946Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P/ACxFFgVIzzk/EkvzVm6gS9E0UgHOoGU7FbGg1ny2u3jsjkUhEiQ70G5iZnATIHvAQS08PcQj8w3C8Pwp1YBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:16:37.325382Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.06814","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e93dee730144d77f77d811d846fb64f4dd4439b4302769669e540cf88a2a45cf","sha256:1190959ee121ae45fde01579f9486b59c02ed82b4942b6932c857af2653b012c"],"state_sha256":"893ec04d28918b67c5cedc5023c9a3ca80bd83528f504b25ea523472c69bb48f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E7khHEVUHtFuKb6/ZPZiMzWSG8AbKfo99MIgMmRmsm0QeAm+qnNsiSes3pQ/Zp4BCwOzx8BPRIFFX5w8kazmDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T11:25:19.797376Z","bundle_sha256":"dab7fe75e89e751d3f17f3a2ae7a1f035867494e8a2e0fac63ae85fe7528be70"}}