{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JR5WFQDHEM5PR2XLNM3P2RV3PN","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":"78854c5941211ab92429f2522d0ce59c36ffe7756bc6b96f63ccc7e8de9473d4","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-22T05:18:35Z","title_canon_sha256":"33523462cd02559c5299d3e20abf4e9e1ca501ef19ef2e8b57b1782ab14f38a7"},"schema_version":"1.0","source":{"id":"2411.14739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.14739","created_at":"2026-07-05T09:38:56Z"},{"alias_kind":"arxiv_version","alias_value":"2411.14739v1","created_at":"2026-07-05T09:38:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14739","created_at":"2026-07-05T09:38:56Z"},{"alias_kind":"pith_short_12","alias_value":"JR5WFQDHEM5P","created_at":"2026-07-05T09:38:56Z"},{"alias_kind":"pith_short_16","alias_value":"JR5WFQDHEM5PR2XL","created_at":"2026-07-05T09:38:56Z"},{"alias_kind":"pith_short_8","alias_value":"JR5WFQDH","created_at":"2026-07-05T09:38:56Z"}],"graph_snapshots":[{"event_id":"sha256:5eed8bbd1205936eee3469f9a6c797ac4e365157e91225664df5841988ab27b7","target":"graph","created_at":"2026-07-05T09:38:56Z","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/2411.14739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Interactive Knowledge Assistant Track (iKAT) 2024 focuses on advancing conversational assistants, able to adapt their interaction and responses from personalized user knowledge. The track incorporates a Personal Textual Knowledge Base (PTKB) alongside Conversational AI tasks, such as passage ranking and response generation. Query Rewrite being an effective approach for resolving conversational context, we explore Large Language Models (LLMs), as query rewriters. Specifically, our submitted runs explore multi-aspect query generation using the MQ4CS framework, which we further enhance with L","authors_text":"Mohammad Aliannejadi, Simon Lupart, Zahra Abbasiantaeb","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-22T05:18:35Z","title":"IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14739","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":"sha256:04796ff86de762f3587972238cac207036ef81c92bdf1330f3695a07638ba1d4","target":"record","created_at":"2026-07-05T09:38:56Z","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":"78854c5941211ab92429f2522d0ce59c36ffe7756bc6b96f63ccc7e8de9473d4","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-22T05:18:35Z","title_canon_sha256":"33523462cd02559c5299d3e20abf4e9e1ca501ef19ef2e8b57b1782ab14f38a7"},"schema_version":"1.0","source":{"id":"2411.14739","kind":"arxiv","version":1}},"canonical_sha256":"4c7b62c067233af8eaeb6b36fd46bb7b66fd45355070f1403a2f3dd18b6b480c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c7b62c067233af8eaeb6b36fd46bb7b66fd45355070f1403a2f3dd18b6b480c","first_computed_at":"2026-07-05T09:38:56.720762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:38:56.720762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CP2nIl8jdeRiz1AFbKabz5Lb0RZcPk/YN1Xl8owoy24cVosW3c7jXY5X2ZHhAOsDc1SBz1/AuH3wK4Db9DcXCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:38:56.721337Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.14739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04796ff86de762f3587972238cac207036ef81c92bdf1330f3695a07638ba1d4","sha256:5eed8bbd1205936eee3469f9a6c797ac4e365157e91225664df5841988ab27b7"],"state_sha256":"9deb476104d5d5eda2b8e5fc75a8d2d45f08f25b31ed297ef9192d1e8f09e7e4"}