{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GTZ26DNVR3WBMB57PFGWP6JL6T","short_pith_number":"pith:GTZ26DNV","canonical_record":{"source":{"id":"2506.03785","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T09:46:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"27571bbcc17f849731ae0fc821f6c495e23487c8c6cac22667a5a0efe4207c0a","abstract_canon_sha256":"e1dc821d006e6598e4a1e93475e4eb62e07ec60b65f80ecec4503299ba9bcbff"},"schema_version":"1.0"},"canonical_sha256":"34f3af0db58eec1607bf794d67f92bf4ce0121daaf5d5a9fe8579f84594701e3","source":{"kind":"arxiv","id":"2506.03785","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03785","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03785v3","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03785","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"pith_short_12","alias_value":"GTZ26DNVR3WB","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"pith_short_16","alias_value":"GTZ26DNVR3WBMB57","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"pith_short_8","alias_value":"GTZ26DNV","created_at":"2026-07-05T11:34:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GTZ26DNVR3WBMB57PFGWP6JL6T","target":"record","payload":{"canonical_record":{"source":{"id":"2506.03785","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T09:46:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"27571bbcc17f849731ae0fc821f6c495e23487c8c6cac22667a5a0efe4207c0a","abstract_canon_sha256":"e1dc821d006e6598e4a1e93475e4eb62e07ec60b65f80ecec4503299ba9bcbff"},"schema_version":"1.0"},"canonical_sha256":"34f3af0db58eec1607bf794d67f92bf4ce0121daaf5d5a9fe8579f84594701e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:08.942496Z","signature_b64":"m//bVu6n/wg6A65pO+PPWuFfkBL4TxDh1fmKjQ5KF7K9EhtH8FWF3pp/wKACodQRum0WM7KxzVyvHjlDV6uABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34f3af0db58eec1607bf794d67f92bf4ce0121daaf5d5a9fe8579f84594701e3","last_reissued_at":"2026-07-05T11:34:08.942018Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:08.942018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.03785","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:34:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dh7W7OyVquETr7iZO8lEITNmeQqo+mD5Wqv5hmtMyMdLCjGrMRE8/NWw6rQFNG8EBrG3lYh47q75m1aDf3znBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T07:41:28.489806Z"},"content_sha256":"754a75ba75c2e6ddcf3be7c7d289bb45d4b08fd8bfb9dd2a24f9db7caa114d8b","schema_version":"1.0","event_id":"sha256:754a75ba75c2e6ddcf3be7c7d289bb45d4b08fd8bfb9dd2a24f9db7caa114d8b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GTZ26DNVR3WBMB57PFGWP6JL6T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Isik Baran Sandan, Jan Niehues, Tu Anh Dinh","submitted_at":"2025-06-04T09:46:43Z","abstract_excerpt":"Large Language Models (LLMs) have shown to be effective evaluators across various domains such as machine translations or the scientific domain. Current LLM-as-a-Judge approaches rely mostly on individual assessments or a single round of pairwise assessments, preventing the judge LLM from developing a global ranking perspective. To address this, we present Knockout Assessment, an LLM-asa Judge method using a knockout tournament system with iterative pairwise comparisons. Experiments across three LLMs on two datasets show that knockout assessment improves scoring accuracy, increasing Pearson co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03785","kind":"arxiv","version":3},"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/2506.03785/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":"2026-07-05T11:34:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VH7+q9m+SW+vJ00znjdYLNlvLJ3WpEHtdZMPEV/iNhyKqSaLb5dfqorJbLPjrZAWQjiHhtDNfQcCdO0GDSs9AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T07:41:28.490180Z"},"content_sha256":"db19b89633ff6f68ff775d6dee0e65eab22374469544409bd8dc390f29f24227","schema_version":"1.0","event_id":"sha256:db19b89633ff6f68ff775d6dee0e65eab22374469544409bd8dc390f29f24227"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GTZ26DNVR3WBMB57PFGWP6JL6T/bundle.json","state_url":"https://pith.science/pith/GTZ26DNVR3WBMB57PFGWP6JL6T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GTZ26DNVR3WBMB57PFGWP6JL6T/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":"2026-07-16T07:41:28Z","links":{"resolver":"https://pith.science/pith/GTZ26DNVR3WBMB57PFGWP6JL6T","bundle":"https://pith.science/pith/GTZ26DNVR3WBMB57PFGWP6JL6T/bundle.json","state":"https://pith.science/pith/GTZ26DNVR3WBMB57PFGWP6JL6T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GTZ26DNVR3WBMB57PFGWP6JL6T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GTZ26DNVR3WBMB57PFGWP6JL6T","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":"e1dc821d006e6598e4a1e93475e4eb62e07ec60b65f80ecec4503299ba9bcbff","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T09:46:43Z","title_canon_sha256":"27571bbcc17f849731ae0fc821f6c495e23487c8c6cac22667a5a0efe4207c0a"},"schema_version":"1.0","source":{"id":"2506.03785","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03785","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03785v3","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03785","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"pith_short_12","alias_value":"GTZ26DNVR3WB","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"pith_short_16","alias_value":"GTZ26DNVR3WBMB57","created_at":"2026-07-05T11:34:08Z"},{"alias_kind":"pith_short_8","alias_value":"GTZ26DNV","created_at":"2026-07-05T11:34:08Z"}],"graph_snapshots":[{"event_id":"sha256:db19b89633ff6f68ff775d6dee0e65eab22374469544409bd8dc390f29f24227","target":"graph","created_at":"2026-07-05T11:34:08Z","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/2506.03785/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown to be effective evaluators across various domains such as machine translations or the scientific domain. Current LLM-as-a-Judge approaches rely mostly on individual assessments or a single round of pairwise assessments, preventing the judge LLM from developing a global ranking perspective. To address this, we present Knockout Assessment, an LLM-asa Judge method using a knockout tournament system with iterative pairwise comparisons. Experiments across three LLMs on two datasets show that knockout assessment improves scoring accuracy, increasing Pearson co","authors_text":"Isik Baran Sandan, Jan Niehues, Tu Anh Dinh","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T09:46:43Z","title":"Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03785","kind":"arxiv","version":3},"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":"sha256:754a75ba75c2e6ddcf3be7c7d289bb45d4b08fd8bfb9dd2a24f9db7caa114d8b","target":"record","created_at":"2026-07-05T11:34:08Z","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":"e1dc821d006e6598e4a1e93475e4eb62e07ec60b65f80ecec4503299ba9bcbff","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T09:46:43Z","title_canon_sha256":"27571bbcc17f849731ae0fc821f6c495e23487c8c6cac22667a5a0efe4207c0a"},"schema_version":"1.0","source":{"id":"2506.03785","kind":"arxiv","version":3}},"canonical_sha256":"34f3af0db58eec1607bf794d67f92bf4ce0121daaf5d5a9fe8579f84594701e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34f3af0db58eec1607bf794d67f92bf4ce0121daaf5d5a9fe8579f84594701e3","first_computed_at":"2026-07-05T11:34:08.942018Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:08.942018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m//bVu6n/wg6A65pO+PPWuFfkBL4TxDh1fmKjQ5KF7K9EhtH8FWF3pp/wKACodQRum0WM7KxzVyvHjlDV6uABA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:08.942496Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03785","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:754a75ba75c2e6ddcf3be7c7d289bb45d4b08fd8bfb9dd2a24f9db7caa114d8b","sha256:db19b89633ff6f68ff775d6dee0e65eab22374469544409bd8dc390f29f24227"],"state_sha256":"34095607ec75fe22a553f0d50f631e5f05126b1cf59a631b9f496660d36e885a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o4ouOAa+ANWqdZ046TFH+2PSr4N0fqHJFs4MHFU9xWkmnbZcSXQVXxnBD3TDxdd88A26OkizUbb/bAJW4HepAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T07:41:28.492678Z","bundle_sha256":"5fd060344400790504960f30b4437620373132e4e109f2bd876a8d05b8e9caa9"}}