{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:LZUD6XR7FSDGM4T7A662XW4RMR","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":"b46a72cf2016eeff60aecb2e67b0499874b79cddfd17cdc71a6bbe77a32757f8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-05-22T05:29:13Z","title_canon_sha256":"6062f43f74b73a39b39f48dd161f654c1de2c701545cee8ece526957cb72efe3"},"schema_version":"1.0","source":{"id":"2005.11014","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.11014","created_at":"2026-07-05T02:07:28Z"},{"alias_kind":"arxiv_version","alias_value":"2005.11014v4","created_at":"2026-07-05T02:07:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.11014","created_at":"2026-07-05T02:07:28Z"},{"alias_kind":"pith_short_12","alias_value":"LZUD6XR7FSDG","created_at":"2026-07-05T02:07:28Z"},{"alias_kind":"pith_short_16","alias_value":"LZUD6XR7FSDGM4T7","created_at":"2026-07-05T02:07:28Z"},{"alias_kind":"pith_short_8","alias_value":"LZUD6XR7","created_at":"2026-07-05T02:07:28Z"}],"graph_snapshots":[{"event_id":"sha256:1a23d39db0ed6c513b9368b5754c388d850abe5f6e6e101846321039e5adc39d","target":"graph","created_at":"2026-07-05T02:07:28Z","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/2005.11014/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conversational systems are of primary interest in the AI community. Chatbots are increasingly being deployed to provide round-the-clock support and to increase customer engagement. Many of the commercial bot building frameworks follow a standard approach that requires one to build and train an intent model to recognize a user input. Intent models are trained in a supervised setting with a collection of textual utterance and intent label pairs. Gathering a substantial and wide coverage of training data for different intent is a bottleneck in the bot building process. Moreover, the cost of label","authors_text":"Ajay Chatterjee, Shubhashis Sengupta","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-05-22T05:29:13Z","title":"Intent Mining from past conversations for conversational agent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.11014","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:dbdaa2f88258bcec86f8ca583a36a22b7df3a443ec18c765d5ca4f1ef55db856","target":"record","created_at":"2026-07-05T02:07:28Z","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":"b46a72cf2016eeff60aecb2e67b0499874b79cddfd17cdc71a6bbe77a32757f8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-05-22T05:29:13Z","title_canon_sha256":"6062f43f74b73a39b39f48dd161f654c1de2c701545cee8ece526957cb72efe3"},"schema_version":"1.0","source":{"id":"2005.11014","kind":"arxiv","version":4}},"canonical_sha256":"5e683f5e3f2c8666727f07bdabdb91644c4d6223875e0c468775421eb1d6ad97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e683f5e3f2c8666727f07bdabdb91644c4d6223875e0c468775421eb1d6ad97","first_computed_at":"2026-07-05T02:07:28.307736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:07:28.307736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"izDgudtnJrN8DN6z9iUp8tjFgQxVZjzEl5egtJj9M9jsEMpLTQhDHUMVuhgMw7s1sh+mtvbNeMGV8YYY1jUxDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:07:28.308201Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.11014","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dbdaa2f88258bcec86f8ca583a36a22b7df3a443ec18c765d5ca4f1ef55db856","sha256:1a23d39db0ed6c513b9368b5754c388d850abe5f6e6e101846321039e5adc39d"],"state_sha256":"3213e03e4d3bb223152f8344bde4cb61a6073fa04b25dbc3ed2749d891faddf5"}