{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MMOMAB6UGBM4OILV2TDWZW7KG3","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":"9fc4a5400a2b84ec3dfec8d0dc943d8c5bd2bc8c93a30fbb1bb5cb26a99d27dd","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-20T07:01:37Z","title_canon_sha256":"9a6e64b124c6057434f64896dae94be00d9bc3b39897fd29723c7c0fafb3a3b4"},"schema_version":"1.0","source":{"id":"2407.14779","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14779","created_at":"2026-07-05T08:51:55Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14779v3","created_at":"2026-07-05T08:51:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14779","created_at":"2026-07-05T08:51:55Z"},{"alias_kind":"pith_short_12","alias_value":"MMOMAB6UGBM4","created_at":"2026-07-05T08:51:55Z"},{"alias_kind":"pith_short_16","alias_value":"MMOMAB6UGBM4OILV","created_at":"2026-07-05T08:51:55Z"},{"alias_kind":"pith_short_8","alias_value":"MMOMAB6U","created_at":"2026-07-05T08:51:55Z"}],"graph_snapshots":[{"event_id":"sha256:bd55421f1fefa67402936664ed586ce98d5b756409c8d107f6e54c6fbbc2e28b","target":"graph","created_at":"2026-07-05T08:51:55Z","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/2407.14779/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Our research investigates the impact of Generative Artificial Intelligence (GAI) models, specifically text-to-image generators (T2Is), on the representation of non-Western cultures, with a focus on Indian contexts. Despite the transformative potential of T2Is in content creation, concerns have arisen regarding biases that may lead to misrepresentations and marginalizations. Through a community-centered approach and grounded theory analysis of 5 focus groups from diverse Indian subcultures, we explore how T2I outputs to English prompts depict Indian culture and its subcultures, uncovering novel","authors_text":"Aylin Caliskan, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson, Sourojit Ghosh","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-20T07:01:37Z","title":"Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14779","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":"sha256:71f6be31e1b686adfbb1b0e0bfba33eb4115904dca930cacf80f8d96ad70db3d","target":"record","created_at":"2026-07-05T08:51:55Z","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":"9fc4a5400a2b84ec3dfec8d0dc943d8c5bd2bc8c93a30fbb1bb5cb26a99d27dd","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-20T07:01:37Z","title_canon_sha256":"9a6e64b124c6057434f64896dae94be00d9bc3b39897fd29723c7c0fafb3a3b4"},"schema_version":"1.0","source":{"id":"2407.14779","kind":"arxiv","version":3}},"canonical_sha256":"631cc007d43059c72175d4c76cdbea36d236876f5d3f7a77252a4e8a18649a33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"631cc007d43059c72175d4c76cdbea36d236876f5d3f7a77252a4e8a18649a33","first_computed_at":"2026-07-05T08:51:55.855425Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:51:55.855425Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A+My78i1uNPYrzulsY5tq6AQYAyM5NBWl5IaKTRyS2KwzivRySAOgTAZ/hNGdhU5oj4YnLipBMdfKjtVviWIDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:51:55.855825Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14779","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71f6be31e1b686adfbb1b0e0bfba33eb4115904dca930cacf80f8d96ad70db3d","sha256:bd55421f1fefa67402936664ed586ce98d5b756409c8d107f6e54c6fbbc2e28b"],"state_sha256":"86742ebf393cc5cecc183236359cc4cff769f98bd8652e2105bb8671a1a934e3"}