{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MC5IT5HOWTF4GDJJ5Y4YYFLCGW","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":"d5a99fcf64fe24628b10a249c6b6866a535ee2bb03b6ea1d12c9ff99cb82c8b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-17T22:57:30Z","title_canon_sha256":"23aca9db528992a4beda635a8c516fe943b6fd418c41caafe15209333c21a7fc"},"schema_version":"1.0","source":{"id":"2404.11791","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.11791","created_at":"2026-07-05T08:09:15Z"},{"alias_kind":"arxiv_version","alias_value":"2404.11791v1","created_at":"2026-07-05T08:09:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11791","created_at":"2026-07-05T08:09:15Z"},{"alias_kind":"pith_short_12","alias_value":"MC5IT5HOWTF4","created_at":"2026-07-05T08:09:15Z"},{"alias_kind":"pith_short_16","alias_value":"MC5IT5HOWTF4GDJJ","created_at":"2026-07-05T08:09:15Z"},{"alias_kind":"pith_short_8","alias_value":"MC5IT5HO","created_at":"2026-07-05T08:09:15Z"}],"graph_snapshots":[{"event_id":"sha256:ab68043159079306ea141d92edc85cc861ed31c600094eadc6d5ea780266fc2f","target":"graph","created_at":"2026-07-05T08:09:15Z","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/2404.11791/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The powerful generative abilities of large language models (LLMs) show potential in generating relevance labels for search applications. Previous work has found that directly asking about relevancy, such as ``How relevant is document A to query Q?\", results in sub-optimal ranking. Instead, the pairwise ranking prompting (PRP) approach produces promising ranking performance through asking about pairwise comparisons, e.g., ``Is document A more relevant than document B to query Q?\". Thus, while LLMs are effective at their ranking ability, this is not reflected in their relevance label generation.","authors_text":"Harrie Oosterhuis, Honglei Zhuang, Le Yan, Michael Bendersky, Rolf Jagerman, Xuanhui Wang, Zhen Qin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-17T22:57:30Z","title":"Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11791","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:cdf42a2aae68a0291446094735eab2826ed1578b72e2bf19c3ed32f7c9616419","target":"record","created_at":"2026-07-05T08:09:15Z","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":"d5a99fcf64fe24628b10a249c6b6866a535ee2bb03b6ea1d12c9ff99cb82c8b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-17T22:57:30Z","title_canon_sha256":"23aca9db528992a4beda635a8c516fe943b6fd418c41caafe15209333c21a7fc"},"schema_version":"1.0","source":{"id":"2404.11791","kind":"arxiv","version":1}},"canonical_sha256":"60ba89f4eeb4cbc30d29ee398c156235b96a46d667a936f082add91c91acb606","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60ba89f4eeb4cbc30d29ee398c156235b96a46d667a936f082add91c91acb606","first_computed_at":"2026-07-05T08:09:15.940074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:09:15.940074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h9HeluMstZA+I7QvYEz/kM3nnvAXXnUrh59bbiVgPetRfMwD0W/ucGFdjtkdFP9M0dsHssVuGqe3HQdmr89FCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:09:15.940550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.11791","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdf42a2aae68a0291446094735eab2826ed1578b72e2bf19c3ed32f7c9616419","sha256:ab68043159079306ea141d92edc85cc861ed31c600094eadc6d5ea780266fc2f"],"state_sha256":"76b8875e91d82a6ab67accd1d5d9e035efffee45f8e0330ad3782d911e013496"}