{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:K4DSNGZVLHIUQ4HTUQDFBVCXNZ","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":"ceb3c7d26ef7cac29dbf2ca822766bd4e104fb68795c09923d4ca609b1b4b2f6","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-21T08:52:11Z","title_canon_sha256":"4eab8326786aa97345a1067e4b1c1a72c39752bd271a0f79e53c0baef39ae399"},"schema_version":"1.0","source":{"id":"2407.00072","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00072","created_at":"2026-07-05T09:29:30Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00072v5","created_at":"2026-07-05T09:29:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00072","created_at":"2026-07-05T09:29:30Z"},{"alias_kind":"pith_short_12","alias_value":"K4DSNGZVLHIU","created_at":"2026-07-05T09:29:30Z"},{"alias_kind":"pith_short_16","alias_value":"K4DSNGZVLHIUQ4HT","created_at":"2026-07-05T09:29:30Z"},{"alias_kind":"pith_short_8","alias_value":"K4DSNGZV","created_at":"2026-07-05T09:29:30Z"}],"graph_snapshots":[{"event_id":"sha256:f4af4959686e668728ae297cc85411e865efaa2c2f1acbe2f0d9d3f4e4a78448","target":"graph","created_at":"2026-07-05T09:29:30Z","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/2407.00072/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"RAG systems face limitations when semantic relevance alone does not guarantee improved generation quality. This issue becomes particularly evident due to the sensitivity of large language models (LLMs) to the ordering of few-shot prompts, which can affect model performance. To address this challenge, aligning LLM outputs with human preferences using structured feedback, such as options to copy, regenerate, or dislike, offers a promising method for improvement. This feedback is applied to the entire list of inputs rather than giving specific ratings for individual documents, making it a Listwid","authors_text":"Ce Yang, Dan Li, Dawei Wang, Hongtao Xie, Li Chen, Xuhui Cai, Yanyu Ren, Yu Bai, Yukai Miao","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-21T08:52:11Z","title":"Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00072","kind":"arxiv","version":5},"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":"sha256:58448420ff1c11d2a45952ed1c2dd0909ee80f832c68e4d132d8135ac6dd2c50","target":"record","created_at":"2026-07-05T09:29:30Z","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":"ceb3c7d26ef7cac29dbf2ca822766bd4e104fb68795c09923d4ca609b1b4b2f6","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-21T08:52:11Z","title_canon_sha256":"4eab8326786aa97345a1067e4b1c1a72c39752bd271a0f79e53c0baef39ae399"},"schema_version":"1.0","source":{"id":"2407.00072","kind":"arxiv","version":5}},"canonical_sha256":"5707269b3559d14870f3a40650d4576e7b49358c71447c6f2de472402451df32","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5707269b3559d14870f3a40650d4576e7b49358c71447c6f2de472402451df32","first_computed_at":"2026-07-05T09:29:30.893224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:29:30.893224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9maioBV/m2hFfs2XYe1ecJiuoAMo+NOmITgTRePmbG2TBknfB23wtV4aFDs4Bm6+DHn8l8fFekssmiv5OpnFDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:29:30.893742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.00072","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:58448420ff1c11d2a45952ed1c2dd0909ee80f832c68e4d132d8135ac6dd2c50","sha256:f4af4959686e668728ae297cc85411e865efaa2c2f1acbe2f0d9d3f4e4a78448"],"state_sha256":"0ae5a3adce1c3ffbac83fd47c97344e807e5b6d474c8fb7fa8e3ed846a40d121"}