{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CE7KYSDXQIDBVT5O4ODUEBJFKH","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":"3e04e2ddf8011ca6abc1c0d0649fbb65b8ee2737d414e923945cf12d547c2061","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-18T09:21:37Z","title_canon_sha256":"4d18b082be6681b76d81b07fa36fb089b251945cf276b6672f4b4cfc3221b6f9"},"schema_version":"1.0","source":{"id":"2310.11818","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.11818","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.11818v1","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.11818","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_12","alias_value":"CE7KYSDXQIDB","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_16","alias_value":"CE7KYSDXQIDBVT5O","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_8","alias_value":"CE7KYSDX","created_at":"2026-07-05T07:02:12Z"}],"graph_snapshots":[{"event_id":"sha256:cb8b0b9545ad2f601bc2bbbc2029e554924becbb7128703e63b0b957143f9e79","target":"graph","created_at":"2026-07-05T07:02:12Z","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/2310.11818/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intent detection and identification from multi-turn dialogue has become a widely explored technique in conversational agents, for example, voice assistants and intelligent customer services. The conventional approaches typically cast the intent mining process as a classification task. Although neural classifiers have proven adept at such classification tasks, the issue of neural network models often impedes their practical deployment in real-world settings. We present a novel graph-based multi-turn dialogue system called , which identifies a user's intent by identifying intent elements and a s","authors_text":"Binxia Xu, Gerard de Melo, Jie Zhang, Xiaolong Li, Yafang Wang, Zengguang Hao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-18T09:21:37Z","title":"IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.11818","kind":"arxiv","version":1},"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":"sha256:9745cfe6cd04035cb9a5c55a29d73e598f60f1e69482fb95057425d6ba1f6455","target":"record","created_at":"2026-07-05T07:02:12Z","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":"3e04e2ddf8011ca6abc1c0d0649fbb65b8ee2737d414e923945cf12d547c2061","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-18T09:21:37Z","title_canon_sha256":"4d18b082be6681b76d81b07fa36fb089b251945cf276b6672f4b4cfc3221b6f9"},"schema_version":"1.0","source":{"id":"2310.11818","kind":"arxiv","version":1}},"canonical_sha256":"113eac487782061acfaee38742052551e7a6d9a00f951e9d1ff6abbca71bcbe9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"113eac487782061acfaee38742052551e7a6d9a00f951e9d1ff6abbca71bcbe9","first_computed_at":"2026-07-05T07:02:12.645866Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:12.645866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yu1Pxdc4dGQp4+C5/o7SMrmgrMKe9aYyzKSHIETcX7ATOQpjAuBZhUw5p39FwkHtc5bTRxZrd6lD4Rb/FE2/BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:12.646296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.11818","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9745cfe6cd04035cb9a5c55a29d73e598f60f1e69482fb95057425d6ba1f6455","sha256:cb8b0b9545ad2f601bc2bbbc2029e554924becbb7128703e63b0b957143f9e79"],"state_sha256":"c7994c16a244dc56d24359dfbc95989ccff83ff8e64530f3b462e3eef044c112"}