{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LLFUZ3O5TNL5NGBISWIACTTXM7","short_pith_number":"pith:LLFUZ3O5","canonical_record":{"source":{"id":"2510.22827","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T20:43:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"96d048b5c099e30fd5b7c824477ad4cdb88ea3a3ccd4fa98abcba6a170537396","abstract_canon_sha256":"dfc1e4b523fcef86352f8c9542482ad0fa880dc25fa1938b1c69448716deba59"},"schema_version":"1.0"},"canonical_sha256":"5acb4ceddd9b57d698289590014e7767cf01de1f40b411099088b803241ca3b7","source":{"kind":"arxiv","id":"2510.22827","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.22827","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2510.22827v3","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.22827","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"LLFUZ3O5TNL5","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"LLFUZ3O5TNL5NGBI","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"LLFUZ3O5","created_at":"2026-05-26T02:05:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LLFUZ3O5TNL5NGBISWIACTTXM7","target":"record","payload":{"canonical_record":{"source":{"id":"2510.22827","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T20:43:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"96d048b5c099e30fd5b7c824477ad4cdb88ea3a3ccd4fa98abcba6a170537396","abstract_canon_sha256":"dfc1e4b523fcef86352f8c9542482ad0fa880dc25fa1938b1c69448716deba59"},"schema_version":"1.0"},"canonical_sha256":"5acb4ceddd9b57d698289590014e7767cf01de1f40b411099088b803241ca3b7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:05:03.697509Z","signature_b64":"8R3velCE0X7Z9LRf8gPXpuBVv74V7qWPY/Ew67b44Tl655HQxHEeodvsX/Eq7X4yVVwVFw2liop1katHr5z7AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5acb4ceddd9b57d698289590014e7767cf01de1f40b411099088b803241ca3b7","last_reissued_at":"2026-05-26T02:05:03.696824Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:05:03.696824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2510.22827","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":"2026-05-26T02:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J3Ozee+4eQwfTnTXlWJPoesVY6e47QEVYCqeu4VK15emZwyTai3Vr/v6ln+7nI9MZ8waNyt0rXlBfRUpM9hnDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:42:06.378411Z"},"content_sha256":"b7ba4d6f08bbc78776f9e6a5648b7ea4d40347100bcf2690d6ad529c6e979f5e","schema_version":"1.0","event_id":"sha256:b7ba4d6f08bbc78776f9e6a5648b7ea4d40347100bcf2690d6ad529c6e979f5e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LLFUZ3O5TNL5NGBISWIACTTXM7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Ioannis Patras, Maimuna Nowaz, Maryam Fetanat, Matthew Purver, Zahraa Al Sahili","submitted_at":"2025-10-26T20:43:48Z","abstract_excerpt":"Evaluating text-to-image (T2I) systems requires judging not only whether an image matches a prompt, but also whether socially salient attributes are represented faithfully and without unsupported inference. Existing automated evaluators typically rely on face-centric recognizers or contrastive image--text similarity, which provide limited diagnostic feedback and often force predictions even when visual evidence is ambiguous or absent. For fairness-sensitive attributes such as religion and disability, where cues may be contextual, indirect, or intentionally unspecified, these evaluators can the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.22827","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/2510.22827/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":"2026-05-26T02:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"34H2cMnN07NDaNIGfwpqIQvXdNgMn2skZLIAWWnOWxJ/oqVAByF6yO9Ur3u/RhsYVSC6rQe3ZtjuRfMK1b2rAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:42:06.378927Z"},"content_sha256":"8643ede5d6176cb45944f4142d3c9f3ad8f1564af4d9e7e6139db3930631c6c8","schema_version":"1.0","event_id":"sha256:8643ede5d6176cb45944f4142d3c9f3ad8f1564af4d9e7e6139db3930631c6c8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LLFUZ3O5TNL5NGBISWIACTTXM7/bundle.json","state_url":"https://pith.science/pith/LLFUZ3O5TNL5NGBISWIACTTXM7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LLFUZ3O5TNL5NGBISWIACTTXM7/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":"2026-08-07T12:42:06Z","links":{"resolver":"https://pith.science/pith/LLFUZ3O5TNL5NGBISWIACTTXM7","bundle":"https://pith.science/pith/LLFUZ3O5TNL5NGBISWIACTTXM7/bundle.json","state":"https://pith.science/pith/LLFUZ3O5TNL5NGBISWIACTTXM7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LLFUZ3O5TNL5NGBISWIACTTXM7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LLFUZ3O5TNL5NGBISWIACTTXM7","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":"dfc1e4b523fcef86352f8c9542482ad0fa880dc25fa1938b1c69448716deba59","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T20:43:48Z","title_canon_sha256":"96d048b5c099e30fd5b7c824477ad4cdb88ea3a3ccd4fa98abcba6a170537396"},"schema_version":"1.0","source":{"id":"2510.22827","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.22827","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2510.22827v3","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.22827","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"LLFUZ3O5TNL5","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"LLFUZ3O5TNL5NGBI","created_at":"2026-05-26T02:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"LLFUZ3O5","created_at":"2026-05-26T02:05:03Z"}],"graph_snapshots":[{"event_id":"sha256:8643ede5d6176cb45944f4142d3c9f3ad8f1564af4d9e7e6139db3930631c6c8","target":"graph","created_at":"2026-05-26T02:05:03Z","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/2510.22827/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Evaluating text-to-image (T2I) systems requires judging not only whether an image matches a prompt, but also whether socially salient attributes are represented faithfully and without unsupported inference. Existing automated evaluators typically rely on face-centric recognizers or contrastive image--text similarity, which provide limited diagnostic feedback and often force predictions even when visual evidence is ambiguous or absent. For fairness-sensitive attributes such as religion and disability, where cues may be contextual, indirect, or intentionally unspecified, these evaluators can the","authors_text":"Ioannis Patras, Maimuna Nowaz, Maryam Fetanat, Matthew Purver, Zahraa Al Sahili","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T20:43:48Z","title":"FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.22827","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:b7ba4d6f08bbc78776f9e6a5648b7ea4d40347100bcf2690d6ad529c6e979f5e","target":"record","created_at":"2026-05-26T02:05:03Z","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":"dfc1e4b523fcef86352f8c9542482ad0fa880dc25fa1938b1c69448716deba59","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T20:43:48Z","title_canon_sha256":"96d048b5c099e30fd5b7c824477ad4cdb88ea3a3ccd4fa98abcba6a170537396"},"schema_version":"1.0","source":{"id":"2510.22827","kind":"arxiv","version":3}},"canonical_sha256":"5acb4ceddd9b57d698289590014e7767cf01de1f40b411099088b803241ca3b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5acb4ceddd9b57d698289590014e7767cf01de1f40b411099088b803241ca3b7","first_computed_at":"2026-05-26T02:05:03.696824Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:05:03.696824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8R3velCE0X7Z9LRf8gPXpuBVv74V7qWPY/Ew67b44Tl655HQxHEeodvsX/Eq7X4yVVwVFw2liop1katHr5z7AQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:05:03.697509Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.22827","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7ba4d6f08bbc78776f9e6a5648b7ea4d40347100bcf2690d6ad529c6e979f5e","sha256:8643ede5d6176cb45944f4142d3c9f3ad8f1564af4d9e7e6139db3930631c6c8"],"state_sha256":"b069bcfc683d1360b66359764fd92be72157d5980beb9317d85c4bcface60569"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UpQ6KjdKBSMz0oEh27DJVeMyCkzG0fYXtKB/TuOs0RrOIXiNK4zwbWBQFsY1Sz9793bsLEPW2NpeRQmf1/dbBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:42:06.383767Z","bundle_sha256":"f6e7563707ea871270c6674db1728db84055121a486c882a2261667dacf039be"}}