{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:X5FU6XNNK7RVSZJT5IHHYMIHKN","short_pith_number":"pith:X5FU6XNN","canonical_record":{"source":{"id":"2407.06863","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-09T13:50:43Z","cross_cats_sorted":[],"title_canon_sha256":"81b81e321d5c0cc79aade631e35ef00bf4d0105424be22fc1360e465e107d808","abstract_canon_sha256":"e8f899b7843705c0f37ce18a968e5c024827e24b2d01821ef60029446e29f95b"},"schema_version":"1.0"},"canonical_sha256":"bf4b4f5dad57e3596533ea0e7c3107537522b81272c4ce9fd902637abc36aca1","source":{"kind":"arxiv","id":"2407.06863","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.06863","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"arxiv_version","alias_value":"2407.06863v6","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.06863","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"pith_short_12","alias_value":"X5FU6XNNK7RV","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"pith_short_16","alias_value":"X5FU6XNNK7RVSZJT","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"pith_short_8","alias_value":"X5FU6XNN","created_at":"2026-07-05T10:02:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:X5FU6XNNK7RVSZJT5IHHYMIHKN","target":"record","payload":{"canonical_record":{"source":{"id":"2407.06863","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-09T13:50:43Z","cross_cats_sorted":[],"title_canon_sha256":"81b81e321d5c0cc79aade631e35ef00bf4d0105424be22fc1360e465e107d808","abstract_canon_sha256":"e8f899b7843705c0f37ce18a968e5c024827e24b2d01821ef60029446e29f95b"},"schema_version":"1.0"},"canonical_sha256":"bf4b4f5dad57e3596533ea0e7c3107537522b81272c4ce9fd902637abc36aca1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:48.362529Z","signature_b64":"YYWz81DyOoWX3e1w47htdf5PabJSos8vyjeQWhtpLdbAGnFQ1WOQWIlkjvFPArbZlQCHp+XoOFra2O4p5SIIBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bf4b4f5dad57e3596533ea0e7c3107537522b81272c4ce9fd902637abc36aca1","last_reissued_at":"2026-07-05T10:02:48.362047Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:48.362047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.06863","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:02:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K0mPPAtODUWnKu1RpNP2LDKhrSLpqjP7WquQFpQ8lTtsYQ5GIz2hoaX1Nw3mJ8+4lud5f18dIMqxHz5K9BoOBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:49:44.580343Z"},"content_sha256":"79ccae4b9a2f6f8c9898d068a24dea70ca98c7980d32f30f0067a65397817e72","schema_version":"1.0","event_id":"sha256:79ccae4b9a2f6f8c9898d068a24dea70ca98c7980d32f30f0067a65397817e72"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:X5FU6XNNK7RVSZJT5IHHYMIHKN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Aesthetics: Cultural Competence in Text-to-Image Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adji Bousso Dieng, Arif Ahmad, Marco Andreetto, Nithish Kannen, Pushpak Bhattacharyya, Shachi Dave, Utsav Prabhu, Vinodkumar Prabhakaran","submitted_at":"2024-07-09T13:50:43Z","abstract_excerpt":"Text-to-Image (T2I) models are being increasingly adopted in diverse global communities where they create visual representations of their unique cultures. Current T2I benchmarks primarily focus on faithfulness, aesthetics, and realism of generated images, overlooking the critical dimension of cultural competence. In this work, we introduce a framework to evaluate cultural competence of T2I models along two crucial dimensions: cultural awareness and cultural diversity, and present a scalable approach using a combination of structured knowledge bases and large language models to build a large da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.06863","kind":"arxiv","version":6},"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/2407.06863/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":"2026-07-05T10:02:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nAoqerDoC/m16ZFwJvwwZUad+vvGnbclsXEaCyEFYtSm7qSO4H72zuCqm+vF1CsG4ybvb8N/0R2G94j8emGDBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:49:44.580861Z"},"content_sha256":"b87103f8716b5f8e1cb761258076677d3d992a34f24ad227b78dacb191e5f90c","schema_version":"1.0","event_id":"sha256:b87103f8716b5f8e1cb761258076677d3d992a34f24ad227b78dacb191e5f90c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X5FU6XNNK7RVSZJT5IHHYMIHKN/bundle.json","state_url":"https://pith.science/pith/X5FU6XNNK7RVSZJT5IHHYMIHKN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X5FU6XNNK7RVSZJT5IHHYMIHKN/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":"2026-08-18T15:49:44Z","links":{"resolver":"https://pith.science/pith/X5FU6XNNK7RVSZJT5IHHYMIHKN","bundle":"https://pith.science/pith/X5FU6XNNK7RVSZJT5IHHYMIHKN/bundle.json","state":"https://pith.science/pith/X5FU6XNNK7RVSZJT5IHHYMIHKN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X5FU6XNNK7RVSZJT5IHHYMIHKN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:X5FU6XNNK7RVSZJT5IHHYMIHKN","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":"e8f899b7843705c0f37ce18a968e5c024827e24b2d01821ef60029446e29f95b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-09T13:50:43Z","title_canon_sha256":"81b81e321d5c0cc79aade631e35ef00bf4d0105424be22fc1360e465e107d808"},"schema_version":"1.0","source":{"id":"2407.06863","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.06863","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"arxiv_version","alias_value":"2407.06863v6","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.06863","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"pith_short_12","alias_value":"X5FU6XNNK7RV","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"pith_short_16","alias_value":"X5FU6XNNK7RVSZJT","created_at":"2026-07-05T10:02:48Z"},{"alias_kind":"pith_short_8","alias_value":"X5FU6XNN","created_at":"2026-07-05T10:02:48Z"}],"graph_snapshots":[{"event_id":"sha256:b87103f8716b5f8e1cb761258076677d3d992a34f24ad227b78dacb191e5f90c","target":"graph","created_at":"2026-07-05T10:02:48Z","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/2407.06863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-Image (T2I) models are being increasingly adopted in diverse global communities where they create visual representations of their unique cultures. Current T2I benchmarks primarily focus on faithfulness, aesthetics, and realism of generated images, overlooking the critical dimension of cultural competence. In this work, we introduce a framework to evaluate cultural competence of T2I models along two crucial dimensions: cultural awareness and cultural diversity, and present a scalable approach using a combination of structured knowledge bases and large language models to build a large da","authors_text":"Adji Bousso Dieng, Arif Ahmad, Marco Andreetto, Nithish Kannen, Pushpak Bhattacharyya, Shachi Dave, Utsav Prabhu, Vinodkumar Prabhakaran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-09T13:50:43Z","title":"Beyond Aesthetics: Cultural Competence in Text-to-Image Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.06863","kind":"arxiv","version":6},"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":"sha256:79ccae4b9a2f6f8c9898d068a24dea70ca98c7980d32f30f0067a65397817e72","target":"record","created_at":"2026-07-05T10:02:48Z","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":"e8f899b7843705c0f37ce18a968e5c024827e24b2d01821ef60029446e29f95b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-09T13:50:43Z","title_canon_sha256":"81b81e321d5c0cc79aade631e35ef00bf4d0105424be22fc1360e465e107d808"},"schema_version":"1.0","source":{"id":"2407.06863","kind":"arxiv","version":6}},"canonical_sha256":"bf4b4f5dad57e3596533ea0e7c3107537522b81272c4ce9fd902637abc36aca1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf4b4f5dad57e3596533ea0e7c3107537522b81272c4ce9fd902637abc36aca1","first_computed_at":"2026-07-05T10:02:48.362047Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:48.362047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YYWz81DyOoWX3e1w47htdf5PabJSos8vyjeQWhtpLdbAGnFQ1WOQWIlkjvFPArbZlQCHp+XoOFra2O4p5SIIBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:48.362529Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.06863","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79ccae4b9a2f6f8c9898d068a24dea70ca98c7980d32f30f0067a65397817e72","sha256:b87103f8716b5f8e1cb761258076677d3d992a34f24ad227b78dacb191e5f90c"],"state_sha256":"7dd5053eb275d31445c4c9978b3517e606cee96b910e0f97a6d5d404ce2eeeda"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uizwjh6rorEWjS2/VriKvPZi8Dle9ARlMWEl4RYbcCErmDPAWLvaL6pB9DWoj+MMN+AiF2jUU5xzLfpJxyAUBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T15:49:44.585491Z","bundle_sha256":"95fdedc8e7f1217c02ee8fadf5cc73c0c27b3246e63dc3b497efc783587ed599"}}