{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OVUYPTIVCOKGWL3FMXKNVGOSBE","short_pith_number":"pith:OVUYPTIV","canonical_record":{"source":{"id":"2410.00906","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-10-01T17:51:09Z","cross_cats_sorted":[],"title_canon_sha256":"0ca6a0f29c47151bf8ea7b902c3b163c79effaa452537b8c3d85dc4d2cfa7dbc","abstract_canon_sha256":"40e843b834e1dafb1eefe631a7147e1f13c2b43fd8206d697629ceee67597c2e"},"schema_version":"1.0"},"canonical_sha256":"756987cd1513946b2f6565d4da99d20913247cd6d0d6c25d42e89063d45e3dfa","source":{"kind":"arxiv","id":"2410.00906","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00906","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00906v3","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00906","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"pith_short_12","alias_value":"OVUYPTIVCOKG","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"pith_short_16","alias_value":"OVUYPTIVCOKGWL3F","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"pith_short_8","alias_value":"OVUYPTIV","created_at":"2026-07-05T10:35:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OVUYPTIVCOKGWL3FMXKNVGOSBE","target":"record","payload":{"canonical_record":{"source":{"id":"2410.00906","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-10-01T17:51:09Z","cross_cats_sorted":[],"title_canon_sha256":"0ca6a0f29c47151bf8ea7b902c3b163c79effaa452537b8c3d85dc4d2cfa7dbc","abstract_canon_sha256":"40e843b834e1dafb1eefe631a7147e1f13c2b43fd8206d697629ceee67597c2e"},"schema_version":"1.0"},"canonical_sha256":"756987cd1513946b2f6565d4da99d20913247cd6d0d6c25d42e89063d45e3dfa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:35:36.596246Z","signature_b64":"2i/dMYa4n7nGrXxHv/iifZ52dFBidO6G3NLVol2ta5FieqVk9beelzwzTVGcc1MWyoaD2JrsF6KMydK6EHDxDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"756987cd1513946b2f6565d4da99d20913247cd6d0d6c25d42e89063d45e3dfa","last_reissued_at":"2026-07-05T10:35:36.595365Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:35:36.595365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.00906","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:35:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Mr8fb4O2tn07pdPO9Rcccif+OpGaalL+zZR3i5s6gm/ZNEs2DgToATY+5floMSibII3jjZcGKmlAvN4P8S7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:22:59.017563Z"},"content_sha256":"9098cc3f4c2cc310bfef92c36068b2da50ae0461f1c14821786da35d8a11268a","schema_version":"1.0","event_id":"sha256:9098cc3f4c2cc310bfef92c36068b2da50ae0461f1c14821786da35d8a11268a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OVUYPTIVCOKGWL3FMXKNVGOSBE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative AI and Perceptual Harms: Who's Suspected of using LLMs?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Dana\\'e Metaxa, Kowe Kadoma, Mor Naaman","submitted_at":"2024-10-01T17:51:09Z","abstract_excerpt":"Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools they may risk causing a variety of harms, disproportionately burdening historically marginalized groups. In this work, we introduce and evaluate perceptual harm, a term for the harm caused to users when others perceive or suspect them of using AI. We examined perceptual harms in three online experiments, each of which entailed human participants evaluating the profiles for fictional freelance w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00906","kind":"arxiv","version":3},"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/2410.00906/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":"2026-07-05T10:35:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"37Smc9tvJ0OSqnMQdCHiCbBDHSSGgKBaAOQwcKrTeEaryxqxLfPduamoCu1LNXgKkuBGV06O//oQ3lM8mr3oCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:22:59.018067Z"},"content_sha256":"897425275cf843533231b7212a2a9b1370f3df87c1319356fe2c33a76a65f6c0","schema_version":"1.0","event_id":"sha256:897425275cf843533231b7212a2a9b1370f3df87c1319356fe2c33a76a65f6c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OVUYPTIVCOKGWL3FMXKNVGOSBE/bundle.json","state_url":"https://pith.science/pith/OVUYPTIVCOKGWL3FMXKNVGOSBE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OVUYPTIVCOKGWL3FMXKNVGOSBE/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":"2026-08-09T08:22:59Z","links":{"resolver":"https://pith.science/pith/OVUYPTIVCOKGWL3FMXKNVGOSBE","bundle":"https://pith.science/pith/OVUYPTIVCOKGWL3FMXKNVGOSBE/bundle.json","state":"https://pith.science/pith/OVUYPTIVCOKGWL3FMXKNVGOSBE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OVUYPTIVCOKGWL3FMXKNVGOSBE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OVUYPTIVCOKGWL3FMXKNVGOSBE","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":"40e843b834e1dafb1eefe631a7147e1f13c2b43fd8206d697629ceee67597c2e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-10-01T17:51:09Z","title_canon_sha256":"0ca6a0f29c47151bf8ea7b902c3b163c79effaa452537b8c3d85dc4d2cfa7dbc"},"schema_version":"1.0","source":{"id":"2410.00906","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00906","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00906v3","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00906","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"pith_short_12","alias_value":"OVUYPTIVCOKG","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"pith_short_16","alias_value":"OVUYPTIVCOKGWL3F","created_at":"2026-07-05T10:35:36Z"},{"alias_kind":"pith_short_8","alias_value":"OVUYPTIV","created_at":"2026-07-05T10:35:36Z"}],"graph_snapshots":[{"event_id":"sha256:897425275cf843533231b7212a2a9b1370f3df87c1319356fe2c33a76a65f6c0","target":"graph","created_at":"2026-07-05T10:35:36Z","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/2410.00906/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools they may risk causing a variety of harms, disproportionately burdening historically marginalized groups. In this work, we introduce and evaluate perceptual harm, a term for the harm caused to users when others perceive or suspect them of using AI. We examined perceptual harms in three online experiments, each of which entailed human participants evaluating the profiles for fictional freelance w","authors_text":"Dana\\'e Metaxa, Kowe Kadoma, Mor Naaman","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-10-01T17:51:09Z","title":"Generative AI and Perceptual Harms: Who's Suspected of using LLMs?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00906","kind":"arxiv","version":3},"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":"sha256:9098cc3f4c2cc310bfef92c36068b2da50ae0461f1c14821786da35d8a11268a","target":"record","created_at":"2026-07-05T10:35:36Z","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":"40e843b834e1dafb1eefe631a7147e1f13c2b43fd8206d697629ceee67597c2e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-10-01T17:51:09Z","title_canon_sha256":"0ca6a0f29c47151bf8ea7b902c3b163c79effaa452537b8c3d85dc4d2cfa7dbc"},"schema_version":"1.0","source":{"id":"2410.00906","kind":"arxiv","version":3}},"canonical_sha256":"756987cd1513946b2f6565d4da99d20913247cd6d0d6c25d42e89063d45e3dfa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"756987cd1513946b2f6565d4da99d20913247cd6d0d6c25d42e89063d45e3dfa","first_computed_at":"2026-07-05T10:35:36.595365Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:35:36.595365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2i/dMYa4n7nGrXxHv/iifZ52dFBidO6G3NLVol2ta5FieqVk9beelzwzTVGcc1MWyoaD2JrsF6KMydK6EHDxDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:35:36.596246Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00906","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9098cc3f4c2cc310bfef92c36068b2da50ae0461f1c14821786da35d8a11268a","sha256:897425275cf843533231b7212a2a9b1370f3df87c1319356fe2c33a76a65f6c0"],"state_sha256":"8c01faaa4981867c1e6e1235fafd3fe4731318d2e6602fc1bbad9351116b8075"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"49kEXDEuu37MRiLvCG1kWESKJ2m6u2aWVPJydzomBdoEu2FtKDb5Bin0kA/WRKAk2oVCv3zBf25a3fiBfI+mBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T08:22:59.021397Z","bundle_sha256":"314196fc406e1ede3aee14b1569052c8739fb48e2afde6091e60b2b885be8626"}}