{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I43VZVKI4PEDMGUPZVPLNJSGVA","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":"7cb2f571e78d70ffa33e38af8583a52e5ccd93e5e2d0e350548572d3f8029f0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-01-06T08:32:54Z","title_canon_sha256":"b4d607d0413719a851aadcca4284677bd90871e7d4eeadd28fb7c5ba3af0e27e"},"schema_version":"1.0","source":{"id":"2501.02838","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.02838","created_at":"2026-07-05T09:57:25Z"},{"alias_kind":"arxiv_version","alias_value":"2501.02838v1","created_at":"2026-07-05T09:57:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.02838","created_at":"2026-07-05T09:57:25Z"},{"alias_kind":"pith_short_12","alias_value":"I43VZVKI4PED","created_at":"2026-07-05T09:57:25Z"},{"alias_kind":"pith_short_16","alias_value":"I43VZVKI4PEDMGUP","created_at":"2026-07-05T09:57:25Z"},{"alias_kind":"pith_short_8","alias_value":"I43VZVKI","created_at":"2026-07-05T09:57:25Z"}],"graph_snapshots":[{"event_id":"sha256:361f2f4a326bdc9b4428189f483269a31dffe8ac269e13130c6b0d798ef980bf","target":"graph","created_at":"2026-07-05T09:57:25Z","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/2501.02838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this chapter, we discuss how to improve the GenIR systems based on user feedback. Before describing the approaches, it is necessary to be aware that the concept of \"user\" has been extended in the interactions with the GenIR systems. Different types of feedback information and strategies are also provided. Then the alignment techniques are highlighted in terms of objectives and methods. Following this, various ways of learning from user feedback in GenIR are presented, including continual learning, learning and ranking in the conversational context, and prompt learning. Through this comprehe","authors_text":"Min Zhang, Qingyao Ai, Zhicheng Dou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-01-06T08:32:54Z","title":"Improving GenIR Systems Based on User Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.02838","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":"sha256:1c7b74d80f1f02faa2e559f14866862f5b8a294a9e373084ccfac57b868a5c16","target":"record","created_at":"2026-07-05T09:57:25Z","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":"7cb2f571e78d70ffa33e38af8583a52e5ccd93e5e2d0e350548572d3f8029f0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-01-06T08:32:54Z","title_canon_sha256":"b4d607d0413719a851aadcca4284677bd90871e7d4eeadd28fb7c5ba3af0e27e"},"schema_version":"1.0","source":{"id":"2501.02838","kind":"arxiv","version":1}},"canonical_sha256":"47375cd548e3c8361a8fcd5eb6a646a82d6139f7cd20cfbfa78a42ea62737647","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47375cd548e3c8361a8fcd5eb6a646a82d6139f7cd20cfbfa78a42ea62737647","first_computed_at":"2026-07-05T09:57:25.705745Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:57:25.705745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ra+6n7Hhqh0/fBk9ZkBwiyN25moAr7YtTXFKGjdRoIH6N7vK11c/SpYvJix9tIeyOGKsdWCjtZFzGQx8my/KBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:57:25.706213Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.02838","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c7b74d80f1f02faa2e559f14866862f5b8a294a9e373084ccfac57b868a5c16","sha256:361f2f4a326bdc9b4428189f483269a31dffe8ac269e13130c6b0d798ef980bf"],"state_sha256":"8f2c805503d8b9a83d94983cbd0fd8a0de0ae5fc25cb45d8d6f478dbc32b7d0e"}