{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:N5MWHLILVCORKNZIP6GIAABTLW","short_pith_number":"pith:N5MWHLIL","canonical_record":{"source":{"id":"2311.17695","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T15:02:01Z","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"title_canon_sha256":"93ae98e48396c8b112e7d87de088867a960f97c3f7a3ccd8400315fe38f3bfac","abstract_canon_sha256":"424d336c6849b415bedc731f523b2277641a5e3c377710b8a908505d0efe41d7"},"schema_version":"1.0"},"canonical_sha256":"6f5963ad0ba89d1537287f8c8000335db2c65206652acd9d2639df4036580685","source":{"kind":"arxiv","id":"2311.17695","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17695","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17695v2","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17695","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_12","alias_value":"N5MWHLILVCOR","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_16","alias_value":"N5MWHLILVCORKNZI","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_8","alias_value":"N5MWHLIL","created_at":"2026-07-05T07:52:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:N5MWHLILVCORKNZIP6GIAABTLW","target":"record","payload":{"canonical_record":{"source":{"id":"2311.17695","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T15:02:01Z","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"title_canon_sha256":"93ae98e48396c8b112e7d87de088867a960f97c3f7a3ccd8400315fe38f3bfac","abstract_canon_sha256":"424d336c6849b415bedc731f523b2277641a5e3c377710b8a908505d0efe41d7"},"schema_version":"1.0"},"canonical_sha256":"6f5963ad0ba89d1537287f8c8000335db2c65206652acd9d2639df4036580685","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:52:43.106615Z","signature_b64":"UsgCGtrpXyBZblrx63kOUnroEr+KITwTqNfeTSbKgsOIA5IJcMlOSC9vfCRPgWv9OrZv51aEnGyO0k6pIL61DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6f5963ad0ba89d1537287f8c8000335db2c65206652acd9d2639df4036580685","last_reissued_at":"2026-07-05T07:52:43.106112Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:52:43.106112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.17695","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":"2026-07-05T07:52:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HdVlmxaVwpvF/nk9O+KfI6KXlfKqcm9PNt08WMFus/KS90RTKmkjUy4nLOSjI35Hcdw1tlxiRpdcbSzXS/xnBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:55:44.388785Z"},"content_sha256":"e349a823d2214c1fe84cbeb6be858ebcf18b7427c5d670c86d2d5373088396b0","schema_version":"1.0","event_id":"sha256:e349a823d2214c1fe84cbeb6be858ebcf18b7427c5d670c86d2d5373088396b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:N5MWHLILVCORKNZIP6GIAABTLW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fair Text-to-Image Diffusion via Fair Mapping","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","cs.LG"],"primary_cat":"cs.CV","authors_text":"Di Wang, Hua Zhang, Jia Li, Jingfeng Zhang, Lijie Hu, Tianhang Zheng","submitted_at":"2023-11-29T15:02:01Z","abstract_excerpt":"In this paper, we address the limitations of existing text-to-image diffusion models in generating demographically fair results when given human-related descriptions. These models often struggle to disentangle the target language context from sociocultural biases, resulting in biased image generation. To overcome this challenge, we propose Fair Mapping, a flexible, model-agnostic, and lightweight approach that modifies a pre-trained text-to-image diffusion model by controlling the prompt to achieve fair image generation. One key advantage of our approach is its high efficiency. It only require"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17695","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/2311.17695/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":"2026-07-05T07:52:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4X9h0GEfLDyKsgyz+qrvWx3Kt5YdSHurKPHBHpqdaaJbHhRddPWFBxaEfYI+s61IgeF6Ot9vF0G7Lei5bT1FCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:55:44.389284Z"},"content_sha256":"c361597f879a73e6bc0262ff171748c8320a50ffa010eaff10597af642744695","schema_version":"1.0","event_id":"sha256:c361597f879a73e6bc0262ff171748c8320a50ffa010eaff10597af642744695"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N5MWHLILVCORKNZIP6GIAABTLW/bundle.json","state_url":"https://pith.science/pith/N5MWHLILVCORKNZIP6GIAABTLW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N5MWHLILVCORKNZIP6GIAABTLW/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":"2026-08-08T09:55:44Z","links":{"resolver":"https://pith.science/pith/N5MWHLILVCORKNZIP6GIAABTLW","bundle":"https://pith.science/pith/N5MWHLILVCORKNZIP6GIAABTLW/bundle.json","state":"https://pith.science/pith/N5MWHLILVCORKNZIP6GIAABTLW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N5MWHLILVCORKNZIP6GIAABTLW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:N5MWHLILVCORKNZIP6GIAABTLW","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":"424d336c6849b415bedc731f523b2277641a5e3c377710b8a908505d0efe41d7","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T15:02:01Z","title_canon_sha256":"93ae98e48396c8b112e7d87de088867a960f97c3f7a3ccd8400315fe38f3bfac"},"schema_version":"1.0","source":{"id":"2311.17695","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17695","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17695v2","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17695","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_12","alias_value":"N5MWHLILVCOR","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_16","alias_value":"N5MWHLILVCORKNZI","created_at":"2026-07-05T07:52:43Z"},{"alias_kind":"pith_short_8","alias_value":"N5MWHLIL","created_at":"2026-07-05T07:52:43Z"}],"graph_snapshots":[{"event_id":"sha256:c361597f879a73e6bc0262ff171748c8320a50ffa010eaff10597af642744695","target":"graph","created_at":"2026-07-05T07:52:43Z","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/2311.17695/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we address the limitations of existing text-to-image diffusion models in generating demographically fair results when given human-related descriptions. These models often struggle to disentangle the target language context from sociocultural biases, resulting in biased image generation. To overcome this challenge, we propose Fair Mapping, a flexible, model-agnostic, and lightweight approach that modifies a pre-trained text-to-image diffusion model by controlling the prompt to achieve fair image generation. One key advantage of our approach is its high efficiency. It only require","authors_text":"Di Wang, Hua Zhang, Jia Li, Jingfeng Zhang, Lijie Hu, Tianhang Zheng","cross_cats":["cs.AI","cs.CY","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T15:02:01Z","title":"Fair Text-to-Image Diffusion via Fair Mapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17695","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:e349a823d2214c1fe84cbeb6be858ebcf18b7427c5d670c86d2d5373088396b0","target":"record","created_at":"2026-07-05T07:52:43Z","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":"424d336c6849b415bedc731f523b2277641a5e3c377710b8a908505d0efe41d7","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T15:02:01Z","title_canon_sha256":"93ae98e48396c8b112e7d87de088867a960f97c3f7a3ccd8400315fe38f3bfac"},"schema_version":"1.0","source":{"id":"2311.17695","kind":"arxiv","version":2}},"canonical_sha256":"6f5963ad0ba89d1537287f8c8000335db2c65206652acd9d2639df4036580685","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f5963ad0ba89d1537287f8c8000335db2c65206652acd9d2639df4036580685","first_computed_at":"2026-07-05T07:52:43.106112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:52:43.106112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UsgCGtrpXyBZblrx63kOUnroEr+KITwTqNfeTSbKgsOIA5IJcMlOSC9vfCRPgWv9OrZv51aEnGyO0k6pIL61DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:52:43.106615Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.17695","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e349a823d2214c1fe84cbeb6be858ebcf18b7427c5d670c86d2d5373088396b0","sha256:c361597f879a73e6bc0262ff171748c8320a50ffa010eaff10597af642744695"],"state_sha256":"5a299c5d7f62e0fa6558317a563b873461a9ce751d17127ebf56dc50419e4dda"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WJ7IoO3G+cy70Kva1tC1v4COzYjwMiTNcz++H0/rzK9rWoukej+qRlMPfkQkuNTN2tmrmaNmypyY+a7Rre6PBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:55:44.393376Z","bundle_sha256":"844dbed2c8ba0daa9ba6cff83aebd462b8ad8f5e8bbe3b5ceae9d59d72c6c816"}}