{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VHUKO2FRS5VB3K24CAJBKZP2OU","short_pith_number":"pith:VHUKO2FR","canonical_record":{"source":{"id":"2410.11594","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T13:29:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf9483ce00da804308bbabb7f65f12491d51fc5b6ce18c33236d9b7759ebb29e","abstract_canon_sha256":"3318e6076144c1aaf1d09f84d252030750096378393fbeb0f9ee174ecad204cd"},"schema_version":"1.0"},"canonical_sha256":"a9e8a768b1976a1dab5c10121565fa75185c4458a622a42b6e4e15498193aa13","source":{"kind":"arxiv","id":"2410.11594","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11594","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11594v1","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11594","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"pith_short_12","alias_value":"VHUKO2FRS5VB","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"pith_short_16","alias_value":"VHUKO2FRS5VB3K24","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"pith_short_8","alias_value":"VHUKO2FR","created_at":"2026-07-05T09:20:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VHUKO2FRS5VB3K24CAJBKZP2OU","target":"record","payload":{"canonical_record":{"source":{"id":"2410.11594","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T13:29:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf9483ce00da804308bbabb7f65f12491d51fc5b6ce18c33236d9b7759ebb29e","abstract_canon_sha256":"3318e6076144c1aaf1d09f84d252030750096378393fbeb0f9ee174ecad204cd"},"schema_version":"1.0"},"canonical_sha256":"a9e8a768b1976a1dab5c10121565fa75185c4458a622a42b6e4e15498193aa13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:20:56.287745Z","signature_b64":"y8MBrkfKp+PDOF5ZvbKG4+y3u14i6WwBAJzbaVTRK+Dn/hUThVA5Ret84JqYA0fLYXuhCZH5FDp8qPDn3JGyAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a9e8a768b1976a1dab5c10121565fa75185c4458a622a42b6e4e15498193aa13","last_reissued_at":"2026-07-05T09:20:56.287255Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:20:56.287255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.11594","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:20:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e0LG9GtlS5/1WWkkvHZdfKUBEpiRhBR/cesVfV9xXvwJAfOwEFtKsGcH2l5dLU58GmBkeujB9s9LczR0Uq2tBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T22:38:14.474342Z"},"content_sha256":"5f25ff5a61654c84f8cd17b9ca92023363de553a10d896a64f9684a33e787c33","schema_version":"1.0","event_id":"sha256:5f25ff5a61654c84f8cd17b9ca92023363de553a10d896a64f9684a33e787c33"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VHUKO2FRS5VB3K24CAJBKZP2OU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Black-box Uncertainty Quantification Method for LLM-as-a-Judge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Elizabeth M. Daly, James M. Johnson, Mart\\'in Santill\\'an Cooper, Michael Desmond, Nico Wagner, Qian Pan, Rahul Nair, Werner Geyer, Zahra Ashktorab","submitted_at":"2024-10-15T13:29:22Z","abstract_excerpt":"LLM-as-a-Judge is a widely used method for evaluating the performance of Large Language Models (LLMs) across various tasks. We address the challenge of quantifying the uncertainty of LLM-as-a-Judge evaluations. While uncertainty quantification has been well-studied in other domains, applying it effectively to LLMs poses unique challenges due to their complex decision-making capabilities and computational demands. In this paper, we introduce a novel method for quantifying uncertainty designed to enhance the trustworthiness of LLM-as-a-Judge evaluations. The method quantifies uncertainty by anal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11594","kind":"arxiv","version":1},"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/2410.11594/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":"2026-07-05T09:20:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SA6HcgVazPVaBax5Fs2WDq+6CdvPYW/sucDVlywMmU7TRzCyKuNm7cCwcEckftD1hvi4lDsXZh4DdwE7du74CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T22:38:14.474728Z"},"content_sha256":"712b65d244cb933917d5a0cf37992b2494348b4ceccfb75bd35e2573a84f5da3","schema_version":"1.0","event_id":"sha256:712b65d244cb933917d5a0cf37992b2494348b4ceccfb75bd35e2573a84f5da3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VHUKO2FRS5VB3K24CAJBKZP2OU/bundle.json","state_url":"https://pith.science/pith/VHUKO2FRS5VB3K24CAJBKZP2OU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VHUKO2FRS5VB3K24CAJBKZP2OU/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":"2026-07-08T22:38:14Z","links":{"resolver":"https://pith.science/pith/VHUKO2FRS5VB3K24CAJBKZP2OU","bundle":"https://pith.science/pith/VHUKO2FRS5VB3K24CAJBKZP2OU/bundle.json","state":"https://pith.science/pith/VHUKO2FRS5VB3K24CAJBKZP2OU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VHUKO2FRS5VB3K24CAJBKZP2OU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VHUKO2FRS5VB3K24CAJBKZP2OU","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":"3318e6076144c1aaf1d09f84d252030750096378393fbeb0f9ee174ecad204cd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T13:29:22Z","title_canon_sha256":"bf9483ce00da804308bbabb7f65f12491d51fc5b6ce18c33236d9b7759ebb29e"},"schema_version":"1.0","source":{"id":"2410.11594","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11594","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11594v1","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11594","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"pith_short_12","alias_value":"VHUKO2FRS5VB","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"pith_short_16","alias_value":"VHUKO2FRS5VB3K24","created_at":"2026-07-05T09:20:56Z"},{"alias_kind":"pith_short_8","alias_value":"VHUKO2FR","created_at":"2026-07-05T09:20:56Z"}],"graph_snapshots":[{"event_id":"sha256:712b65d244cb933917d5a0cf37992b2494348b4ceccfb75bd35e2573a84f5da3","target":"graph","created_at":"2026-07-05T09:20:56Z","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/2410.11594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"LLM-as-a-Judge is a widely used method for evaluating the performance of Large Language Models (LLMs) across various tasks. We address the challenge of quantifying the uncertainty of LLM-as-a-Judge evaluations. While uncertainty quantification has been well-studied in other domains, applying it effectively to LLMs poses unique challenges due to their complex decision-making capabilities and computational demands. In this paper, we introduce a novel method for quantifying uncertainty designed to enhance the trustworthiness of LLM-as-a-Judge evaluations. The method quantifies uncertainty by anal","authors_text":"Elizabeth M. Daly, James M. Johnson, Mart\\'in Santill\\'an Cooper, Michael Desmond, Nico Wagner, Qian Pan, Rahul Nair, Werner Geyer, Zahra Ashktorab","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T13:29:22Z","title":"Black-box Uncertainty Quantification Method for LLM-as-a-Judge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11594","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":"sha256:5f25ff5a61654c84f8cd17b9ca92023363de553a10d896a64f9684a33e787c33","target":"record","created_at":"2026-07-05T09:20:56Z","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":"3318e6076144c1aaf1d09f84d252030750096378393fbeb0f9ee174ecad204cd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T13:29:22Z","title_canon_sha256":"bf9483ce00da804308bbabb7f65f12491d51fc5b6ce18c33236d9b7759ebb29e"},"schema_version":"1.0","source":{"id":"2410.11594","kind":"arxiv","version":1}},"canonical_sha256":"a9e8a768b1976a1dab5c10121565fa75185c4458a622a42b6e4e15498193aa13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9e8a768b1976a1dab5c10121565fa75185c4458a622a42b6e4e15498193aa13","first_computed_at":"2026-07-05T09:20:56.287255Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:20:56.287255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y8MBrkfKp+PDOF5ZvbKG4+y3u14i6WwBAJzbaVTRK+Dn/hUThVA5Ret84JqYA0fLYXuhCZH5FDp8qPDn3JGyAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:20:56.287745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.11594","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f25ff5a61654c84f8cd17b9ca92023363de553a10d896a64f9684a33e787c33","sha256:712b65d244cb933917d5a0cf37992b2494348b4ceccfb75bd35e2573a84f5da3"],"state_sha256":"248f93fd38e263347c570f28a4ebf872aaca711e6aafebf0c3bb00e6a54ceffb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UVfwzw6aDmyhhXKPnDc5uBQ4JQDAaZyCLRNgA/KoxOr+T7VJuDZsY3Tn5Xq46TizabGLhpMF6nu5jiIq+OnwAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T22:38:14.477185Z","bundle_sha256":"fcf131c960c04a803cf75de3b524107dacaa084aaf90b0e2fc3b50d154c55447"}}