{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4N7WVTUXQH4KK4GFQ6EJBQWFMY","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":"c7c9cf03d55847b90edca73af805d18989060821fb0457d0fc7f369d8a6bd4fe","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-17T15:58:22Z","title_canon_sha256":"c1b972c64448879a31038e1ea0fcd80d2ed95640405f7b05e0c6c907bbdbe27e"},"schema_version":"1.0","source":{"id":"2406.11678","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11678","created_at":"2026-07-05T10:10:26Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11678v2","created_at":"2026-07-05T10:10:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11678","created_at":"2026-07-05T10:10:26Z"},{"alias_kind":"pith_short_12","alias_value":"4N7WVTUXQH4K","created_at":"2026-07-05T10:10:26Z"},{"alias_kind":"pith_short_16","alias_value":"4N7WVTUXQH4KK4GF","created_at":"2026-07-05T10:10:26Z"},{"alias_kind":"pith_short_8","alias_value":"4N7WVTUX","created_at":"2026-07-05T10:10:26Z"}],"graph_snapshots":[{"event_id":"sha256:fc0bbc3c961e269bc7177729d3a40fc46832cce09b4b37acedeaec1aaee3aa6c","target":"graph","created_at":"2026-07-05T10:10:26Z","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/2406.11678/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are increasingly employed in zero-shot documents ranking, yielding commendable results. However, several significant challenges still persist in LLMs for ranking: (1) LLMs are constrained by limited input length, precluding them from processing a large number of documents simultaneously; (2) The output document sequence is influenced by the input order of documents, resulting in inconsistent ranking outcomes; (3) Achieving a balance between cost and ranking performance is challenging. To tackle these issues, we introduce a novel documents ranking method called Tour","authors_text":"Daiting Shi, Dawei Yin, Jiaxin Mao, Qi Liu, Weiwei Sun, Wei Yang, Xinyu Ma, Yiqun Chen, Yi Zhang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-17T15:58:22Z","title":"TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11678","kind":"arxiv","version":2},"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":"sha256:72b6a89afc9e10fd7e7afb42b9f4b23aaecf12a4534c93f4b75dda9c8bd62cde","target":"record","created_at":"2026-07-05T10:10:26Z","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":"c7c9cf03d55847b90edca73af805d18989060821fb0457d0fc7f369d8a6bd4fe","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-17T15:58:22Z","title_canon_sha256":"c1b972c64448879a31038e1ea0fcd80d2ed95640405f7b05e0c6c907bbdbe27e"},"schema_version":"1.0","source":{"id":"2406.11678","kind":"arxiv","version":2}},"canonical_sha256":"e37f6ace9781f8a570c5878890c2c5661e13cc8be82e8a364d1c69353951497c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e37f6ace9781f8a570c5878890c2c5661e13cc8be82e8a364d1c69353951497c","first_computed_at":"2026-07-05T10:10:26.733326Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:26.733326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b+rz69MFPIFmoPuVNVqnjnipu3x3u1mCSHYleolA6BY8MVWVdBwJ8mfx8zUV4DEAQY6m/iY3j87a93dx1ZIbBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:26.733797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11678","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72b6a89afc9e10fd7e7afb42b9f4b23aaecf12a4534c93f4b75dda9c8bd62cde","sha256:fc0bbc3c961e269bc7177729d3a40fc46832cce09b4b37acedeaec1aaee3aa6c"],"state_sha256":"986524449b34f47a56655ec6b94a6f6425b51f846d0889430f70cbbb02c8aae1"}