{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OXEHT2UZRNOEQEARLI72MGVS4I","short_pith_number":"pith:OXEHT2UZ","canonical_record":{"source":{"id":"2502.19160","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-26T14:15:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"50140cc93d2983018778cf07680fb0c33cdcca6a6fbba9e6de6d50bea390393e","abstract_canon_sha256":"771f475952b0326994fad4bc84d16434f0f73f3266f5de584322e426c5a9d407"},"schema_version":"1.0"},"canonical_sha256":"75c879ea998b5c4810115a3fa61ab2e2225dbcda6b27ceacbc1ff0f98d396360","source":{"kind":"arxiv","id":"2502.19160","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19160","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19160v1","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19160","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"OXEHT2UZRNOE","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"OXEHT2UZRNOEQEAR","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"OXEHT2UZ","created_at":"2026-07-05T10:20:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OXEHT2UZRNOEQEARLI72MGVS4I","target":"record","payload":{"canonical_record":{"source":{"id":"2502.19160","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-26T14:15:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"50140cc93d2983018778cf07680fb0c33cdcca6a6fbba9e6de6d50bea390393e","abstract_canon_sha256":"771f475952b0326994fad4bc84d16434f0f73f3266f5de584322e426c5a9d407"},"schema_version":"1.0"},"canonical_sha256":"75c879ea998b5c4810115a3fa61ab2e2225dbcda6b27ceacbc1ff0f98d396360","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:20:27.910704Z","signature_b64":"ky+BMixVIGG9vjDx6v7SpBWqlczsZaz3fDeuSeGFmFRQMpHDhyzQcJU8I67kF3CZ4Z96Zkgob33+UNafvMNtDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75c879ea998b5c4810115a3fa61ab2e2225dbcda6b27ceacbc1ff0f98d396360","last_reissued_at":"2026-07-05T10:20:27.910283Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:20:27.910283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.19160","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":"2026-07-05T10:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Td9d0Yi7D5wqbZ7bbb6LJNS1Yr7qZokAQKEDbXyIqxp1Xw/zEjKskCwNAtFifymt4QFlf/qzcE2NzEiRNEgbCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:41:44.473990Z"},"content_sha256":"a21f757339af95f8aef7abe7de07ed98376cd7cd40c21bdf4f5ae6c825f77bf7","schema_version":"1.0","event_id":"sha256:a21f757339af95f8aef7abe7de07ed98376cd7cd40c21bdf4f5ae6c825f77bf7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OXEHT2UZRNOEQEARLI72MGVS4I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"H\\'ector Allende-Cid, Michael Mock, Rebekka G\\\"orge","submitted_at":"2025-02-26T14:15:28Z","abstract_excerpt":"Social categories and stereotypes are embedded in language and can introduce data bias into Large Language Models (LLMs). Despite safeguards, these biases often persist in model behavior, potentially leading to representational harm in outputs. While sociolinguistic research provides valuable insights into the formation of stereotypes, NLP approaches for stereotype detection rarely draw on this foundation and often lack objectivity, precision, and interpretability. To fill this gap, in this work we propose a new approach that detects and quantifies the linguistic indicators of stereotypes in a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19160","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/2502.19160/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":"2026-07-05T10:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KSJV7MidhW4lYsZ1FKMfjdPkcKpyaJpQjtTAzkI4UYcgQu+dOCcVAajO8A6/DodBrJR6cL9APi0nSoaVsElxAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:41:44.474371Z"},"content_sha256":"62842918bfec1053bab1b19259ccfe18f98d5f05bc57ebc8d48575ff3d755bfc","schema_version":"1.0","event_id":"sha256:62842918bfec1053bab1b19259ccfe18f98d5f05bc57ebc8d48575ff3d755bfc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OXEHT2UZRNOEQEARLI72MGVS4I/bundle.json","state_url":"https://pith.science/pith/OXEHT2UZRNOEQEARLI72MGVS4I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OXEHT2UZRNOEQEARLI72MGVS4I/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":"2026-07-07T14:41:44Z","links":{"resolver":"https://pith.science/pith/OXEHT2UZRNOEQEARLI72MGVS4I","bundle":"https://pith.science/pith/OXEHT2UZRNOEQEARLI72MGVS4I/bundle.json","state":"https://pith.science/pith/OXEHT2UZRNOEQEARLI72MGVS4I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OXEHT2UZRNOEQEARLI72MGVS4I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OXEHT2UZRNOEQEARLI72MGVS4I","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":"771f475952b0326994fad4bc84d16434f0f73f3266f5de584322e426c5a9d407","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-26T14:15:28Z","title_canon_sha256":"50140cc93d2983018778cf07680fb0c33cdcca6a6fbba9e6de6d50bea390393e"},"schema_version":"1.0","source":{"id":"2502.19160","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19160","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19160v1","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19160","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"OXEHT2UZRNOE","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"OXEHT2UZRNOEQEAR","created_at":"2026-07-05T10:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"OXEHT2UZ","created_at":"2026-07-05T10:20:27Z"}],"graph_snapshots":[{"event_id":"sha256:62842918bfec1053bab1b19259ccfe18f98d5f05bc57ebc8d48575ff3d755bfc","target":"graph","created_at":"2026-07-05T10:20:27Z","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/2502.19160/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Social categories and stereotypes are embedded in language and can introduce data bias into Large Language Models (LLMs). Despite safeguards, these biases often persist in model behavior, potentially leading to representational harm in outputs. While sociolinguistic research provides valuable insights into the formation of stereotypes, NLP approaches for stereotype detection rarely draw on this foundation and often lack objectivity, precision, and interpretability. To fill this gap, in this work we propose a new approach that detects and quantifies the linguistic indicators of stereotypes in a","authors_text":"H\\'ector Allende-Cid, Michael Mock, Rebekka G\\\"orge","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-26T14:15:28Z","title":"Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19160","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:a21f757339af95f8aef7abe7de07ed98376cd7cd40c21bdf4f5ae6c825f77bf7","target":"record","created_at":"2026-07-05T10:20:27Z","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":"771f475952b0326994fad4bc84d16434f0f73f3266f5de584322e426c5a9d407","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-26T14:15:28Z","title_canon_sha256":"50140cc93d2983018778cf07680fb0c33cdcca6a6fbba9e6de6d50bea390393e"},"schema_version":"1.0","source":{"id":"2502.19160","kind":"arxiv","version":1}},"canonical_sha256":"75c879ea998b5c4810115a3fa61ab2e2225dbcda6b27ceacbc1ff0f98d396360","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75c879ea998b5c4810115a3fa61ab2e2225dbcda6b27ceacbc1ff0f98d396360","first_computed_at":"2026-07-05T10:20:27.910283Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:20:27.910283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ky+BMixVIGG9vjDx6v7SpBWqlczsZaz3fDeuSeGFmFRQMpHDhyzQcJU8I67kF3CZ4Z96Zkgob33+UNafvMNtDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:20:27.910704Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.19160","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a21f757339af95f8aef7abe7de07ed98376cd7cd40c21bdf4f5ae6c825f77bf7","sha256:62842918bfec1053bab1b19259ccfe18f98d5f05bc57ebc8d48575ff3d755bfc"],"state_sha256":"e23c45437c9601b1ff073ee25bd4c1c003d123b7aac7213b3325c010145834dc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M2ogbhA4jA2kpW49FXLDYufoGI1gNme+14NBOT17UYH27jBdL1CDi4zN8a6NZhJPr9PE+LbeS3Xr29RGH768Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:41:44.476230Z","bundle_sha256":"142e3576ab1754939e3aa136c407bc232d0335f8750cb82c6ef25de6b3cb088e"}}