{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FHZURWK47OTSQ7K6STDS5U7HN5","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":"36d1a0feb8d178e2458c088b13acb85f6e21d6825085ce723448e37a1e491765","cross_cats_sorted":["cs.AI","cs.HC","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-03T18:45:21Z","title_canon_sha256":"53ccd01c30783092ff92e1b9af7e45f23b7ee004b85aa99b0d0da17dcaf0553d"},"schema_version":"1.0","source":{"id":"2310.03043","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.03043","created_at":"2026-07-05T06:57:28Z"},{"alias_kind":"arxiv_version","alias_value":"2310.03043v1","created_at":"2026-07-05T06:57:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.03043","created_at":"2026-07-05T06:57:28Z"},{"alias_kind":"pith_short_12","alias_value":"FHZURWK47OTS","created_at":"2026-07-05T06:57:28Z"},{"alias_kind":"pith_short_16","alias_value":"FHZURWK47OTSQ7K6","created_at":"2026-07-05T06:57:28Z"},{"alias_kind":"pith_short_8","alias_value":"FHZURWK4","created_at":"2026-07-05T06:57:28Z"}],"graph_snapshots":[{"event_id":"sha256:1a16f1d6741941d6cadf6833b5e37e8706d08715af76f599d3d639bf15668a7e","target":"graph","created_at":"2026-07-05T06:57:28Z","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/2310.03043/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interactive search can provide a better experience by incorporating interaction feedback from the users. This can significantly improve search accuracy as it helps avoid irrelevant information and captures the users' search intents. Existing state-of-the-art (SOTA) systems use reinforcement learning (RL) models to incorporate the interactions but focus on item-level feedback, ignoring the fine-grained information found in sentence-level feedback. Yet such feedback requires extensive RL action space exploration and large amounts of annotated data. This work addresses these challenges by proposi","authors_text":"Chen Lin, Eugene Agichtein, Jianghong Zhou, Joyce C. Ho","cross_cats":["cs.AI","cs.HC","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-03T18:45:21Z","title":"A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.03043","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":"sha256:0d26f7a1ff51e1be776fac0b34506a53eee85c40e0ed6f3e553c1ed135508426","target":"record","created_at":"2026-07-05T06:57:28Z","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":"36d1a0feb8d178e2458c088b13acb85f6e21d6825085ce723448e37a1e491765","cross_cats_sorted":["cs.AI","cs.HC","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-03T18:45:21Z","title_canon_sha256":"53ccd01c30783092ff92e1b9af7e45f23b7ee004b85aa99b0d0da17dcaf0553d"},"schema_version":"1.0","source":{"id":"2310.03043","kind":"arxiv","version":1}},"canonical_sha256":"29f348d95cfba7287d5e94c72ed3e76f4d34310811b6e70b5b10ea432782976f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29f348d95cfba7287d5e94c72ed3e76f4d34310811b6e70b5b10ea432782976f","first_computed_at":"2026-07-05T06:57:28.055854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:28.055854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5IC2RLL5ea8Khi8nZw3/0ImwwfN+SXBSwPT0YQuv8aPsMbcR6Bc/f0tq39hgolxTOt5mZT2G4KBjrnD2BZ1tBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:28.056402Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.03043","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d26f7a1ff51e1be776fac0b34506a53eee85c40e0ed6f3e553c1ed135508426","sha256:1a16f1d6741941d6cadf6833b5e37e8706d08715af76f599d3d639bf15668a7e"],"state_sha256":"c5ea832ff49a41e22196a7d55a148bd1560c119c6c2d0108e8e59ea9c06e0d26"}