{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XBJN6FBPL74234GUK3VUOL6XI5","short_pith_number":"pith:XBJN6FBP","canonical_record":{"source":{"id":"2501.15775","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-27T04:47:19Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"ae6d774fb0fd8313d7a710f051d080334373d89cfe66cb8dbd86e28f798cb114","abstract_canon_sha256":"81560acae99935d285f0490a8ae002fb7761bddd3617d4d8d4535ac8f837cfba"},"schema_version":"1.0"},"canonical_sha256":"b852df142f5ff9adf0d456eb472fd7475c498b9bf38da39f757c63e976f398f5","source":{"kind":"arxiv","id":"2501.15775","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15775","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15775v2","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15775","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"pith_short_12","alias_value":"XBJN6FBPL742","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"pith_short_16","alias_value":"XBJN6FBPL74234GU","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"pith_short_8","alias_value":"XBJN6FBP","created_at":"2026-07-05T11:43:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XBJN6FBPL74234GUK3VUOL6XI5","target":"record","payload":{"canonical_record":{"source":{"id":"2501.15775","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-27T04:47:19Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"ae6d774fb0fd8313d7a710f051d080334373d89cfe66cb8dbd86e28f798cb114","abstract_canon_sha256":"81560acae99935d285f0490a8ae002fb7761bddd3617d4d8d4535ac8f837cfba"},"schema_version":"1.0"},"canonical_sha256":"b852df142f5ff9adf0d456eb472fd7475c498b9bf38da39f757c63e976f398f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:09.380577Z","signature_b64":"TPrnjwsUTIcdMraBSmXc9RUPFQRjimz1fx2npJrxuGBMtyF6v/C7QzgwAeJg29dcZDpIc2ew39pGZgoW9STHAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b852df142f5ff9adf0d456eb472fd7475c498b9bf38da39f757c63e976f398f5","last_reissued_at":"2026-07-05T11:43:09.380126Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:09.380126Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.15775","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":"2026-07-05T11:43:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ONOFEdnO9UlDYXbcOGg0OtDkL+xh+apT/xHpBz9PcGWqjLQP3m3f5woz/aaoHdRHfEBM7Esf3yvK0cDyO9OBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T03:20:51.168761Z"},"content_sha256":"d5dcac84b29c2255532b51ca3c5585777bb9534dbd6fa94d6d9e3344370067c9","schema_version":"1.0","event_id":"sha256:d5dcac84b29c2255532b51ca3c5585777bb9534dbd6fa94d6d9e3344370067c9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XBJN6FBPL74234GUK3VUOL6XI5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.CV","authors_text":"David Lo, Jing Jiang, Yunbo Lyu, Yuqing Niu, Zhou Yang","submitted_at":"2025-01-27T04:47:19Z","abstract_excerpt":"Text-to-Image (T2I) models have recently gained significant attention due to their ability to generate high-quality images and are consequently used in a wide range of applications. However, there are concerns about the gender bias of these models. Previous studies have shown that T2I models can perpetuate or even amplify gender stereotypes when provided with neutral text prompts. Researchers have proposed automated gender bias uncovering detectors for T2I models, but a crucial gap exists: no existing work comprehensively compares the various detectors and understands how the gender bias detec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15775","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/2501.15775/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":"2026-07-05T11:43:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KhzFQkgaSWktLYatf/WQpYi8V5WvNPjqPrqNK1dvD/IAgFqZBA7PFfZ3ByRWb2p68wkVFeBGJS/G5wRjxFnsBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T03:20:51.169967Z"},"content_sha256":"5ddfdc86261bc85c505fef7922a0ecbe176cb53abd95a72df220a1b53817a874","schema_version":"1.0","event_id":"sha256:5ddfdc86261bc85c505fef7922a0ecbe176cb53abd95a72df220a1b53817a874"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XBJN6FBPL74234GUK3VUOL6XI5/bundle.json","state_url":"https://pith.science/pith/XBJN6FBPL74234GUK3VUOL6XI5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XBJN6FBPL74234GUK3VUOL6XI5/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":"2026-08-11T03:20:51Z","links":{"resolver":"https://pith.science/pith/XBJN6FBPL74234GUK3VUOL6XI5","bundle":"https://pith.science/pith/XBJN6FBPL74234GUK3VUOL6XI5/bundle.json","state":"https://pith.science/pith/XBJN6FBPL74234GUK3VUOL6XI5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XBJN6FBPL74234GUK3VUOL6XI5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XBJN6FBPL74234GUK3VUOL6XI5","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":"81560acae99935d285f0490a8ae002fb7761bddd3617d4d8d4535ac8f837cfba","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-27T04:47:19Z","title_canon_sha256":"ae6d774fb0fd8313d7a710f051d080334373d89cfe66cb8dbd86e28f798cb114"},"schema_version":"1.0","source":{"id":"2501.15775","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15775","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15775v2","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15775","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"pith_short_12","alias_value":"XBJN6FBPL742","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"pith_short_16","alias_value":"XBJN6FBPL74234GU","created_at":"2026-07-05T11:43:09Z"},{"alias_kind":"pith_short_8","alias_value":"XBJN6FBP","created_at":"2026-07-05T11:43:09Z"}],"graph_snapshots":[{"event_id":"sha256:5ddfdc86261bc85c505fef7922a0ecbe176cb53abd95a72df220a1b53817a874","target":"graph","created_at":"2026-07-05T11:43:09Z","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/2501.15775/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-Image (T2I) models have recently gained significant attention due to their ability to generate high-quality images and are consequently used in a wide range of applications. However, there are concerns about the gender bias of these models. Previous studies have shown that T2I models can perpetuate or even amplify gender stereotypes when provided with neutral text prompts. Researchers have proposed automated gender bias uncovering detectors for T2I models, but a crucial gap exists: no existing work comprehensively compares the various detectors and understands how the gender bias detec","authors_text":"David Lo, Jing Jiang, Yunbo Lyu, Yuqing Niu, Zhou Yang","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-27T04:47:19Z","title":"Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15775","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:d5dcac84b29c2255532b51ca3c5585777bb9534dbd6fa94d6d9e3344370067c9","target":"record","created_at":"2026-07-05T11:43:09Z","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":"81560acae99935d285f0490a8ae002fb7761bddd3617d4d8d4535ac8f837cfba","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-27T04:47:19Z","title_canon_sha256":"ae6d774fb0fd8313d7a710f051d080334373d89cfe66cb8dbd86e28f798cb114"},"schema_version":"1.0","source":{"id":"2501.15775","kind":"arxiv","version":2}},"canonical_sha256":"b852df142f5ff9adf0d456eb472fd7475c498b9bf38da39f757c63e976f398f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b852df142f5ff9adf0d456eb472fd7475c498b9bf38da39f757c63e976f398f5","first_computed_at":"2026-07-05T11:43:09.380126Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:09.380126Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TPrnjwsUTIcdMraBSmXc9RUPFQRjimz1fx2npJrxuGBMtyF6v/C7QzgwAeJg29dcZDpIc2ew39pGZgoW9STHAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:09.380577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.15775","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5dcac84b29c2255532b51ca3c5585777bb9534dbd6fa94d6d9e3344370067c9","sha256:5ddfdc86261bc85c505fef7922a0ecbe176cb53abd95a72df220a1b53817a874"],"state_sha256":"1d7ff91cd4308d6163ce6349d6783f481889ccd01e2b2326a5136274f7ced9cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7JmrMwat2VN1qGlvkISYE9c7Gf1H8WwaWcPt/NYhLccaAseiihHEuMjAhTXcOOad1EG+pYL/JPZSDMcRDQ7NDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T03:20:51.180034Z","bundle_sha256":"9e30edfb43f78603cb3fa63565c7eca5c8c32f054b4f80df1c78039ff1b7b127"}}