{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P7ZU33W3QJ73PGWHZC6LXIBJFC","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":"128c771b7560fc75e10831e67bb7bf0e340775b231b23e78db9818ac6fae3629","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-09T20:24:24Z","title_canon_sha256":"b5bd9630af648ded23511a5a61fe2b7b8de5d07fefcb734d3b582764ac2dfe01"},"schema_version":"1.0","source":{"id":"2508.07090","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.07090","created_at":"2026-07-05T11:51:40Z"},{"alias_kind":"arxiv_version","alias_value":"2508.07090v1","created_at":"2026-07-05T11:51:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07090","created_at":"2026-07-05T11:51:40Z"},{"alias_kind":"pith_short_12","alias_value":"P7ZU33W3QJ73","created_at":"2026-07-05T11:51:40Z"},{"alias_kind":"pith_short_16","alias_value":"P7ZU33W3QJ73PGWH","created_at":"2026-07-05T11:51:40Z"},{"alias_kind":"pith_short_8","alias_value":"P7ZU33W3","created_at":"2026-07-05T11:51:40Z"}],"graph_snapshots":[{"event_id":"sha256:be9616f3dce4d3acf816bef2000f9890f7258281386ede42980f1de207a10e56","target":"graph","created_at":"2026-07-05T11:51:40Z","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/2508.07090/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Evaluating social biases in language models (LMs) is crucial for ensuring fairness and minimizing the reinforcement of harmful stereotypes in AI systems. Existing benchmarks, such as the Bias Benchmark for Question Answering (BBQ), primarily focus on Western contexts, limiting their applicability to the Indian context. To address this gap, we introduce BharatBBQ, a culturally adapted benchmark designed to assess biases in Hindi, English, Marathi, Bengali, Tamil, Telugu, Odia, and Assamese. BharatBBQ covers 13 social categories, including 3 intersectional groups, reflecting prevalent biases in ","authors_text":"Aditya Tomar, Nihar Ranjan Sahoo, Pushpak Bhattacharyya","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-09T20:24:24Z","title":"BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07090","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":"sha256:7718ceeaef061880c19f01f91340ba12eae96dd44fa3ffa10175ec5da801befc","target":"record","created_at":"2026-07-05T11:51:40Z","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":"128c771b7560fc75e10831e67bb7bf0e340775b231b23e78db9818ac6fae3629","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-09T20:24:24Z","title_canon_sha256":"b5bd9630af648ded23511a5a61fe2b7b8de5d07fefcb734d3b582764ac2dfe01"},"schema_version":"1.0","source":{"id":"2508.07090","kind":"arxiv","version":1}},"canonical_sha256":"7ff34deedb827fb79ac7c8bcbba02928a7d6e208720e2e0aa458a381d5034aa2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ff34deedb827fb79ac7c8bcbba02928a7d6e208720e2e0aa458a381d5034aa2","first_computed_at":"2026-07-05T11:51:40.673944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:51:40.673944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wW+nLy4hWjQuD6zoU+qOGEeKr5WGUW0DaU9vSrbnW5hiKjrdZcmKz+P704n9DbAC/+nFLMv7UqhXakza16RLBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:51:40.674417Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.07090","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7718ceeaef061880c19f01f91340ba12eae96dd44fa3ffa10175ec5da801befc","sha256:be9616f3dce4d3acf816bef2000f9890f7258281386ede42980f1de207a10e56"],"state_sha256":"afdbb052ae8f2e4166cdea6fda201b570a5d03ba0b7e7d65436fa443be335e34"}