{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5LNQG6JQM5N3FQVOGRYC73BN4A","short_pith_number":"pith:5LNQG6JQ","canonical_record":{"source":{"id":"2310.09497","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-10-14T05:20:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af969289a4b77b93d0b4d6d00bd3518bd74d40da986d47aef44d52590b5d11f1","abstract_canon_sha256":"44a8cdf58d044cc8941ac1521b8993a1cb6f9ff62737bb5c62e0f8d547be4006"},"schema_version":"1.0"},"canonical_sha256":"eadb037930675bb2c2ae34702fec2de03ba3cb2ef401fad541242a9666de723b","source":{"kind":"arxiv","id":"2310.09497","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09497","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09497v2","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09497","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"pith_short_12","alias_value":"5LNQG6JQM5N3","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"pith_short_16","alias_value":"5LNQG6JQM5N3FQVO","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"pith_short_8","alias_value":"5LNQG6JQ","created_at":"2026-07-05T08:24:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5LNQG6JQM5N3FQVOGRYC73BN4A","target":"record","payload":{"canonical_record":{"source":{"id":"2310.09497","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-10-14T05:20:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af969289a4b77b93d0b4d6d00bd3518bd74d40da986d47aef44d52590b5d11f1","abstract_canon_sha256":"44a8cdf58d044cc8941ac1521b8993a1cb6f9ff62737bb5c62e0f8d547be4006"},"schema_version":"1.0"},"canonical_sha256":"eadb037930675bb2c2ae34702fec2de03ba3cb2ef401fad541242a9666de723b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:24:57.763165Z","signature_b64":"LFext1Yp4nkZIrLbswhXvRtH0405ZrEEMbpSel6iCJerD1gqXGzhbTKRSPq63s7CRnj6DYlDaCDQ39so0bB/CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eadb037930675bb2c2ae34702fec2de03ba3cb2ef401fad541242a9666de723b","last_reissued_at":"2026-07-05T08:24:57.762641Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:24:57.762641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.09497","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:24:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4/kBN1Ddtl2NpskIwTdTTS/lyho1HI+c2X0dhPqO58y5tYCdGFRzZ9HoROgptmMlhQbZWS3mGtuzUeGoM+FcDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:39:14.854977Z"},"content_sha256":"96aa44c855724aac3ab1c9a65e7023fc9996aed7072bf1f58cc12b8500c375f3","schema_version":"1.0","event_id":"sha256:96aa44c855724aac3ab1c9a65e7023fc9996aed7072bf1f58cc12b8500c375f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5LNQG6JQM5N3FQVOGRYC73BN4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Bevan Koopman, Guido Zuccon, Honglei Zhuang, Shengyao Zhuang","submitted_at":"2023-10-14T05:20:02Z","abstract_excerpt":"We propose a novel zero-shot document ranking approach based on Large Language Models (LLMs): the Setwise prompting approach. Our approach complements existing prompting approaches for LLM-based zero-shot ranking: Pointwise, Pairwise, and Listwise. Through the first-of-its-kind comparative evaluation within a consistent experimental framework and considering factors like model size, token consumption, latency, among others, we show that existing approaches are inherently characterised by trade-offs between effectiveness and efficiency. We find that while Pointwise approaches score high on effi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09497","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.09497/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:24:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NMybC9QG6rKAWOOFRyY6iLIk/+fSubJfWzRJj0O96Whigoj3OSTbbvdQPsAlpFgaWLgjUjEgYKl0Wc+jlJ6rCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:39:14.855365Z"},"content_sha256":"748855cc686965efa1dc05fec8b49cc61b248122d00216a20f241f63d8b02aa3","schema_version":"1.0","event_id":"sha256:748855cc686965efa1dc05fec8b49cc61b248122d00216a20f241f63d8b02aa3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5LNQG6JQM5N3FQVOGRYC73BN4A/bundle.json","state_url":"https://pith.science/pith/5LNQG6JQM5N3FQVOGRYC73BN4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5LNQG6JQM5N3FQVOGRYC73BN4A/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T11:39:14Z","links":{"resolver":"https://pith.science/pith/5LNQG6JQM5N3FQVOGRYC73BN4A","bundle":"https://pith.science/pith/5LNQG6JQM5N3FQVOGRYC73BN4A/bundle.json","state":"https://pith.science/pith/5LNQG6JQM5N3FQVOGRYC73BN4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5LNQG6JQM5N3FQVOGRYC73BN4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5LNQG6JQM5N3FQVOGRYC73BN4A","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":"44a8cdf58d044cc8941ac1521b8993a1cb6f9ff62737bb5c62e0f8d547be4006","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-10-14T05:20:02Z","title_canon_sha256":"af969289a4b77b93d0b4d6d00bd3518bd74d40da986d47aef44d52590b5d11f1"},"schema_version":"1.0","source":{"id":"2310.09497","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09497","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09497v2","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09497","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"pith_short_12","alias_value":"5LNQG6JQM5N3","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"pith_short_16","alias_value":"5LNQG6JQM5N3FQVO","created_at":"2026-07-05T08:24:57Z"},{"alias_kind":"pith_short_8","alias_value":"5LNQG6JQ","created_at":"2026-07-05T08:24:57Z"}],"graph_snapshots":[{"event_id":"sha256:748855cc686965efa1dc05fec8b49cc61b248122d00216a20f241f63d8b02aa3","target":"graph","created_at":"2026-07-05T08:24:57Z","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/2310.09497/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel zero-shot document ranking approach based on Large Language Models (LLMs): the Setwise prompting approach. Our approach complements existing prompting approaches for LLM-based zero-shot ranking: Pointwise, Pairwise, and Listwise. Through the first-of-its-kind comparative evaluation within a consistent experimental framework and considering factors like model size, token consumption, latency, among others, we show that existing approaches are inherently characterised by trade-offs between effectiveness and efficiency. We find that while Pointwise approaches score high on effi","authors_text":"Bevan Koopman, Guido Zuccon, Honglei Zhuang, Shengyao Zhuang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-10-14T05:20:02Z","title":"A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09497","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":"sha256:96aa44c855724aac3ab1c9a65e7023fc9996aed7072bf1f58cc12b8500c375f3","target":"record","created_at":"2026-07-05T08:24:57Z","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":"44a8cdf58d044cc8941ac1521b8993a1cb6f9ff62737bb5c62e0f8d547be4006","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-10-14T05:20:02Z","title_canon_sha256":"af969289a4b77b93d0b4d6d00bd3518bd74d40da986d47aef44d52590b5d11f1"},"schema_version":"1.0","source":{"id":"2310.09497","kind":"arxiv","version":2}},"canonical_sha256":"eadb037930675bb2c2ae34702fec2de03ba3cb2ef401fad541242a9666de723b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eadb037930675bb2c2ae34702fec2de03ba3cb2ef401fad541242a9666de723b","first_computed_at":"2026-07-05T08:24:57.762641Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:57.762641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LFext1Yp4nkZIrLbswhXvRtH0405ZrEEMbpSel6iCJerD1gqXGzhbTKRSPq63s7CRnj6DYlDaCDQ39so0bB/CA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:57.763165Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.09497","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96aa44c855724aac3ab1c9a65e7023fc9996aed7072bf1f58cc12b8500c375f3","sha256:748855cc686965efa1dc05fec8b49cc61b248122d00216a20f241f63d8b02aa3"],"state_sha256":"367f74074c3ebab5b36d6c25b76e439f326cc0d0c62ad9434fd0cc8a3973383d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9y2vbFqlztloDkBPR66RMi0Fx+z41woLVG311eb6Z6SPxp22vmfkcTQlXy7FU16TmzzNBibEnaEkVCWiIUknDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:39:14.857255Z","bundle_sha256":"6a72b352b776ef6cf25ab3939b9d1179771852a49f5aa23e48d84ca73b6094cd"}}