{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JBBJQUYKY2LWA7A27PKUV6KNEP","short_pith_number":"pith:JBBJQUYK","canonical_record":{"source":{"id":"2403.10776","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-16T02:29:42Z","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"title_canon_sha256":"49face24ae4044367c866dbf6a1336efb4fcc72a18f11a8a97813dc9b5550d72","abstract_canon_sha256":"d7546ff2dbf6e2a8443127b8b965531850eb2e91f0fd228340ea78933ce5c3c6"},"schema_version":"1.0"},"canonical_sha256":"484298530ac697607c1afbd54af94d23e6d1b5b7f452bde43bfcb71100a944d0","source":{"kind":"arxiv","id":"2403.10776","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.10776","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.10776v1","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.10776","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"pith_short_12","alias_value":"JBBJQUYKY2LW","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"pith_short_16","alias_value":"JBBJQUYKY2LWA7A2","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"pith_short_8","alias_value":"JBBJQUYK","created_at":"2026-07-05T07:57:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JBBJQUYKY2LWA7A27PKUV6KNEP","target":"record","payload":{"canonical_record":{"source":{"id":"2403.10776","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-16T02:29:42Z","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"title_canon_sha256":"49face24ae4044367c866dbf6a1336efb4fcc72a18f11a8a97813dc9b5550d72","abstract_canon_sha256":"d7546ff2dbf6e2a8443127b8b965531850eb2e91f0fd228340ea78933ce5c3c6"},"schema_version":"1.0"},"canonical_sha256":"484298530ac697607c1afbd54af94d23e6d1b5b7f452bde43bfcb71100a944d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:57:06.672915Z","signature_b64":"5zbtzd/M5ZH90NI732PHVqseF4mEeRk4yULsGXMKSIrZybEYC/3Kxrw9ul7g7L1D+12OUvafP+gUZkcqcP0SDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"484298530ac697607c1afbd54af94d23e6d1b5b7f452bde43bfcb71100a944d0","last_reissued_at":"2026-07-05T07:57:06.672348Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:57:06.672348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.10776","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:57:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P0XyrgPqSv9bSeXCB4ufqAdSMNUurDOg3VB3qor4Q+1k4ohY4QMc0pz4j7aanZJN8nTS47a1iLgInjWm0qYtCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:16:28.611728Z"},"content_sha256":"a9a51366061d1e32c63c1b37d313a0aca50b685dc01d751a71575e77be83ff99","schema_version":"1.0","event_id":"sha256:a9a51366061d1e32c63c1b37d313a0aca50b685dc01d751a71575e77be83ff99"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JBBJQUYKY2LWA7A27PKUV6KNEP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Melting Pots to Misrepresentations: Exploring Harms in Generative AI","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","cs.LG"],"primary_cat":"cs.HC","authors_text":"Pranav Narayanan Venkit, Sanjana Gautam, Sourojit Ghosh","submitted_at":"2024-03-16T02:29:42Z","abstract_excerpt":"With the widespread adoption of advanced generative models such as Gemini and GPT, there has been a notable increase in the incorporation of such models into sociotechnical systems, categorized under AI-as-a-Service (AIaaS). Despite their versatility across diverse sectors, concerns persist regarding discriminatory tendencies within these models, particularly favoring selected `majority' demographics across various sociodemographic dimensions. Despite widespread calls for diversification of media representations, marginalized racial and ethnic groups continue to face persistent distortion, ste"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.10776","kind":"arxiv","version":1},"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/2403.10776/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":"2026-07-05T07:57:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uPmVxYXb3kh9Pk4iBFbuwPOtzY8usDmpKRWlwl8zYkY3OpSLrVvl8Zl4GWoqGc19d6EJ5A433TzYluVP7cHqAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:16:28.612499Z"},"content_sha256":"68aa65ed57714553849f9d384ce4601089e79b1d967a8b6f5d8a979047b1f22c","schema_version":"1.0","event_id":"sha256:68aa65ed57714553849f9d384ce4601089e79b1d967a8b6f5d8a979047b1f22c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JBBJQUYKY2LWA7A27PKUV6KNEP/bundle.json","state_url":"https://pith.science/pith/JBBJQUYKY2LWA7A27PKUV6KNEP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JBBJQUYKY2LWA7A27PKUV6KNEP/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":"2026-08-21T03:16:28Z","links":{"resolver":"https://pith.science/pith/JBBJQUYKY2LWA7A27PKUV6KNEP","bundle":"https://pith.science/pith/JBBJQUYKY2LWA7A27PKUV6KNEP/bundle.json","state":"https://pith.science/pith/JBBJQUYKY2LWA7A27PKUV6KNEP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JBBJQUYKY2LWA7A27PKUV6KNEP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JBBJQUYKY2LWA7A27PKUV6KNEP","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":"d7546ff2dbf6e2a8443127b8b965531850eb2e91f0fd228340ea78933ce5c3c6","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-16T02:29:42Z","title_canon_sha256":"49face24ae4044367c866dbf6a1336efb4fcc72a18f11a8a97813dc9b5550d72"},"schema_version":"1.0","source":{"id":"2403.10776","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.10776","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.10776v1","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.10776","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"pith_short_12","alias_value":"JBBJQUYKY2LW","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"pith_short_16","alias_value":"JBBJQUYKY2LWA7A2","created_at":"2026-07-05T07:57:06Z"},{"alias_kind":"pith_short_8","alias_value":"JBBJQUYK","created_at":"2026-07-05T07:57:06Z"}],"graph_snapshots":[{"event_id":"sha256:68aa65ed57714553849f9d384ce4601089e79b1d967a8b6f5d8a979047b1f22c","target":"graph","created_at":"2026-07-05T07:57:06Z","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/2403.10776/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the widespread adoption of advanced generative models such as Gemini and GPT, there has been a notable increase in the incorporation of such models into sociotechnical systems, categorized under AI-as-a-Service (AIaaS). Despite their versatility across diverse sectors, concerns persist regarding discriminatory tendencies within these models, particularly favoring selected `majority' demographics across various sociodemographic dimensions. Despite widespread calls for diversification of media representations, marginalized racial and ethnic groups continue to face persistent distortion, ste","authors_text":"Pranav Narayanan Venkit, Sanjana Gautam, Sourojit Ghosh","cross_cats":["cs.AI","cs.CY","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-16T02:29:42Z","title":"From Melting Pots to Misrepresentations: Exploring Harms in Generative AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.10776","kind":"arxiv","version":1},"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:a9a51366061d1e32c63c1b37d313a0aca50b685dc01d751a71575e77be83ff99","target":"record","created_at":"2026-07-05T07:57:06Z","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":"d7546ff2dbf6e2a8443127b8b965531850eb2e91f0fd228340ea78933ce5c3c6","cross_cats_sorted":["cs.AI","cs.CY","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-03-16T02:29:42Z","title_canon_sha256":"49face24ae4044367c866dbf6a1336efb4fcc72a18f11a8a97813dc9b5550d72"},"schema_version":"1.0","source":{"id":"2403.10776","kind":"arxiv","version":1}},"canonical_sha256":"484298530ac697607c1afbd54af94d23e6d1b5b7f452bde43bfcb71100a944d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"484298530ac697607c1afbd54af94d23e6d1b5b7f452bde43bfcb71100a944d0","first_computed_at":"2026-07-05T07:57:06.672348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:06.672348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5zbtzd/M5ZH90NI732PHVqseF4mEeRk4yULsGXMKSIrZybEYC/3Kxrw9ul7g7L1D+12OUvafP+gUZkcqcP0SDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:06.672915Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.10776","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9a51366061d1e32c63c1b37d313a0aca50b685dc01d751a71575e77be83ff99","sha256:68aa65ed57714553849f9d384ce4601089e79b1d967a8b6f5d8a979047b1f22c"],"state_sha256":"6195dd07f132abf52197793fd4fb261c386e60a7f6496f73064e75526f4fd706"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3W+tD8rh1TL8MhFZPRPh01jUsP3aJ7hO+DxpsO3cFK3TLizyjxjxd0Vdr2V/BWonqBMza6g299Rko71ujWTRDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T03:16:28.620843Z","bundle_sha256":"cd46bd1c8c42e218aa282fa792624dbf56fe1b85e5dd0ea42b73e4af0fbc0330"}}