{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A66U5YCPAKTVRF44ELS6OV65RL","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":"eb3ae267a08bdd384aa5163c65e0f81271bd5bdb8cfff8add304b24bd8ab8d0a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-29T12:32:06Z","title_canon_sha256":"2728d49ee40648bd089a0303bfffd41021e34b9c62306f03558a3990619fac61"},"schema_version":"1.0","source":{"id":"2403.20147","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.20147","created_at":"2026-07-05T08:03:51Z"},{"alias_kind":"arxiv_version","alias_value":"2403.20147v2","created_at":"2026-07-05T08:03:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.20147","created_at":"2026-07-05T08:03:51Z"},{"alias_kind":"pith_short_12","alias_value":"A66U5YCPAKTV","created_at":"2026-07-05T08:03:51Z"},{"alias_kind":"pith_short_16","alias_value":"A66U5YCPAKTVRF44","created_at":"2026-07-05T08:03:51Z"},{"alias_kind":"pith_short_8","alias_value":"A66U5YCP","created_at":"2026-07-05T08:03:51Z"}],"graph_snapshots":[{"event_id":"sha256:59086403fc2a39639656ad61c5f5dd990b4d85c709faa9f1a807248e546709c3","target":"graph","created_at":"2026-07-05T08:03:51Z","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/2403.20147/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The pervasive influence of social biases in language data has sparked the need for benchmark datasets that capture and evaluate these biases in Large Language Models (LLMs). Existing efforts predominantly focus on English language and the Western context, leaving a void for a reliable dataset that encapsulates India's unique socio-cultural nuances. To bridge this gap, we introduce IndiBias, a comprehensive benchmarking dataset designed specifically for evaluating social biases in the Indian context. We filter and translate the existing CrowS-Pairs dataset to create a benchmark dataset suited t","authors_text":"Aparna Garimella, Arif Ahmad, Narjis Asad, Nihar Ranjan Sahoo, Pranamya Prashant Kulkarni, Pushpak Bhattacharyya, Tanu Goyal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-29T12:32:06Z","title":"IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.20147","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":"sha256:4902395e2ce3e9280938d6677568a2a0a27ddb7b62729062ee6b12ece620c7e8","target":"record","created_at":"2026-07-05T08:03:51Z","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":"eb3ae267a08bdd384aa5163c65e0f81271bd5bdb8cfff8add304b24bd8ab8d0a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-29T12:32:06Z","title_canon_sha256":"2728d49ee40648bd089a0303bfffd41021e34b9c62306f03558a3990619fac61"},"schema_version":"1.0","source":{"id":"2403.20147","kind":"arxiv","version":2}},"canonical_sha256":"07bd4ee04f02a758979c22e5e757dd8ac89dcae83ca4533cccab8bcca9724a20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"07bd4ee04f02a758979c22e5e757dd8ac89dcae83ca4533cccab8bcca9724a20","first_computed_at":"2026-07-05T08:03:51.058039Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:03:51.058039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QKlLujmLPf6iXjvhMSk4t92Ch2ByT40CtFHE9yb+e02JHInnWf5CuVJwk3DmeR+PvM2yfTsWQsgXRm2Ag0w0AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:03:51.058598Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.20147","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4902395e2ce3e9280938d6677568a2a0a27ddb7b62729062ee6b12ece620c7e8","sha256:59086403fc2a39639656ad61c5f5dd990b4d85c709faa9f1a807248e546709c3"],"state_sha256":"7cee17fe0bed74044ff08073c1ad3762b1cfe03af24577bdb5f919fa4c35731c"}