{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NFDGPIC2GTEHA426JLN5BULTJP","short_pith_number":"pith:NFDGPIC2","canonical_record":{"source":{"id":"2404.04838","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-07T07:24:45Z","cross_cats_sorted":[],"title_canon_sha256":"8c4232f9070c323ce475c917de73f180a5017fe74315fe4058f5623c46bda534","abstract_canon_sha256":"c56db7c57cee7e59e0fb63148baa68af1dc9b3fe95d7eeb2da90d5a46e57eb31"},"schema_version":"1.0"},"canonical_sha256":"694667a05a34c870735e4adbd0d1734bfa3b6169f90eb126a828eb2f3f986e37","source":{"kind":"arxiv","id":"2404.04838","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04838","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04838v2","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04838","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"pith_short_12","alias_value":"NFDGPIC2GTEH","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"pith_short_16","alias_value":"NFDGPIC2GTEHA426","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"pith_short_8","alias_value":"NFDGPIC2","created_at":"2026-07-05T09:09:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NFDGPIC2GTEHA426JLN5BULTJP","target":"record","payload":{"canonical_record":{"source":{"id":"2404.04838","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-07T07:24:45Z","cross_cats_sorted":[],"title_canon_sha256":"8c4232f9070c323ce475c917de73f180a5017fe74315fe4058f5623c46bda534","abstract_canon_sha256":"c56db7c57cee7e59e0fb63148baa68af1dc9b3fe95d7eeb2da90d5a46e57eb31"},"schema_version":"1.0"},"canonical_sha256":"694667a05a34c870735e4adbd0d1734bfa3b6169f90eb126a828eb2f3f986e37","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:58.430110Z","signature_b64":"CdDvfTQjQq790nFPMblLKhrY1xbk8VQ0KyegO70Th1XsTmIpbw5axNciIZ/0mslk14vGH+0nTtFUFxJvewFKCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"694667a05a34c870735e4adbd0d1734bfa3b6169f90eb126a828eb2f3f986e37","last_reissued_at":"2026-07-05T09:09:58.429619Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:58.429619Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.04838","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:09:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vb1IbuQWhh3JvkFwSFbEA3bLIdJxyC4D69x1xXVXrUogyKudwESIVjsrINs5dA1esaX6IlD6Ku1cRLwWYfH3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:45:28.286897Z"},"content_sha256":"1e40eb9bed346306fd79e378ca5fa4a2d4d2e5d6357c5076b0617d5494f7bc5c","schema_version":"1.0","event_id":"sha256:1e40eb9bed346306fd79e378ca5fa4a2d4d2e5d6357c5076b0617d5494f7bc5c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NFDGPIC2GTEHA426JLN5BULTJP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Elisa Barney, Goya van Boven, Irene Pagliai, Isabella S\\\"odergren, Lama Alkhaled, Namrata Gurung, Tosin Adewumi","submitted_at":"2024-04-07T07:24:45Z","abstract_excerpt":"We introduce new large labeled datasets on bias in 3 languages and show in experiments that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets on the English GLUE/SuperGLUE leaderboards. The 3 new languages give a total of almost 6 million labeled samples and we benchmark on these datasets using SotA multilingual pretrained models: mT5 and mBERT. The challenge of social bias, based on prejudice, is ubiquitous, as recent events with AI and large language models (LLMs) have shown. Motivated by this challenge, we set out to estimate bias in multiple datasets. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04838","kind":"arxiv","version":2},"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/2404.04838/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":"2026-07-05T09:09:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oZ7+kxI3Ah6Hfe61f0L7OOcP+QGJ8fcmJKtH8xamlNEFdi9tqXXsYKviToEgICX53sRv6/eVC0dZwSAjcJVLAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:45:28.287426Z"},"content_sha256":"5ff57e380b547166bc2caf8ce42235596d72501f79200eee282ba82d3b7d6fc1","schema_version":"1.0","event_id":"sha256:5ff57e380b547166bc2caf8ce42235596d72501f79200eee282ba82d3b7d6fc1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NFDGPIC2GTEHA426JLN5BULTJP/bundle.json","state_url":"https://pith.science/pith/NFDGPIC2GTEHA426JLN5BULTJP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NFDGPIC2GTEHA426JLN5BULTJP/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":"2026-08-07T16:45:28Z","links":{"resolver":"https://pith.science/pith/NFDGPIC2GTEHA426JLN5BULTJP","bundle":"https://pith.science/pith/NFDGPIC2GTEHA426JLN5BULTJP/bundle.json","state":"https://pith.science/pith/NFDGPIC2GTEHA426JLN5BULTJP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NFDGPIC2GTEHA426JLN5BULTJP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NFDGPIC2GTEHA426JLN5BULTJP","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":"c56db7c57cee7e59e0fb63148baa68af1dc9b3fe95d7eeb2da90d5a46e57eb31","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-07T07:24:45Z","title_canon_sha256":"8c4232f9070c323ce475c917de73f180a5017fe74315fe4058f5623c46bda534"},"schema_version":"1.0","source":{"id":"2404.04838","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04838","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04838v2","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04838","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"pith_short_12","alias_value":"NFDGPIC2GTEH","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"pith_short_16","alias_value":"NFDGPIC2GTEHA426","created_at":"2026-07-05T09:09:58Z"},{"alias_kind":"pith_short_8","alias_value":"NFDGPIC2","created_at":"2026-07-05T09:09:58Z"}],"graph_snapshots":[{"event_id":"sha256:5ff57e380b547166bc2caf8ce42235596d72501f79200eee282ba82d3b7d6fc1","target":"graph","created_at":"2026-07-05T09:09:58Z","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/2404.04838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce new large labeled datasets on bias in 3 languages and show in experiments that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets on the English GLUE/SuperGLUE leaderboards. The 3 new languages give a total of almost 6 million labeled samples and we benchmark on these datasets using SotA multilingual pretrained models: mT5 and mBERT. The challenge of social bias, based on prejudice, is ubiquitous, as recent events with AI and large language models (LLMs) have shown. Motivated by this challenge, we set out to estimate bias in multiple datasets. We","authors_text":"Elisa Barney, Goya van Boven, Irene Pagliai, Isabella S\\\"odergren, Lama Alkhaled, Namrata Gurung, Tosin Adewumi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-07T07:24:45Z","title":"Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04838","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":"sha256:1e40eb9bed346306fd79e378ca5fa4a2d4d2e5d6357c5076b0617d5494f7bc5c","target":"record","created_at":"2026-07-05T09:09:58Z","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":"c56db7c57cee7e59e0fb63148baa68af1dc9b3fe95d7eeb2da90d5a46e57eb31","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-07T07:24:45Z","title_canon_sha256":"8c4232f9070c323ce475c917de73f180a5017fe74315fe4058f5623c46bda534"},"schema_version":"1.0","source":{"id":"2404.04838","kind":"arxiv","version":2}},"canonical_sha256":"694667a05a34c870735e4adbd0d1734bfa3b6169f90eb126a828eb2f3f986e37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"694667a05a34c870735e4adbd0d1734bfa3b6169f90eb126a828eb2f3f986e37","first_computed_at":"2026-07-05T09:09:58.429619Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:58.429619Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CdDvfTQjQq790nFPMblLKhrY1xbk8VQ0KyegO70Th1XsTmIpbw5axNciIZ/0mslk14vGH+0nTtFUFxJvewFKCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:58.430110Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.04838","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e40eb9bed346306fd79e378ca5fa4a2d4d2e5d6357c5076b0617d5494f7bc5c","sha256:5ff57e380b547166bc2caf8ce42235596d72501f79200eee282ba82d3b7d6fc1"],"state_sha256":"429c0d0d196de1f2194597a56f4a8496896ddfda5552bad66571bb9a9fa7d445"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qnEbx/X1lYHYDLe44fKOFpXtUY0aydndJnFtSae+y50B8ku3vz9olRP5KEHA7DULEFuI7FIemG0uZrGO7LPgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T16:45:28.291567Z","bundle_sha256":"6d13653a541b30cebf06feb07c232524ffd22af8a4db2970ad32810780ef0032"}}