{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WJW36TMM2F2AVF5URG2T3W7UOQ","short_pith_number":"pith:WJW36TMM","schema_version":"1.0","canonical_sha256":"b26dbf4d8cd1740a97b489b53ddbf47434dc2b628f740267ae2d39e15f7527fd","source":{"kind":"arxiv","id":"2605.23820","version":1},"attestation_state":"computed","paper":{"title":"Inferential Privacy Leakage in Anonymized Conversational AI Logs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.CY","authors_text":"Kiran Garimella, S M Mehedi Zaman","submitted_at":"2026-05-22T16:22:14Z","abstract_excerpt":"Hundreds of millions of users now hold detailed, multi-turn conversations with ChatGPT and similar LLM assistants. We measure two privacy-relevant features of these conversations on a corpus of complete ChatGPT histories donated by over 1,000 users in four Global South countries (Brazil, India, Nigeria, Pakistan). First, on explicit disclosure: 34.5% of user messages contain personal information across a twenty-category taxonomy, with the median user first revealing identifying content within the first 14% of their conversation history. Second, on inference beyond explicit disclosure: we restr"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.23820","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-22T16:22:14Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"49f43b84bd6f18cda54a2666552eed177326a12f22f16950232f774c77ee97c3","abstract_canon_sha256":"e4f555abfbded4b80cd6e7035623964b8e46b2850cd8652de37f86030a717ab3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:02:34.115662Z","signature_b64":"7Uur7PHrO05KlKuY9pPV060X4/LFyS2Mbs9WsjnAuRhGor78eEjNkps83+oiQOUeQJplPoJWin2sAog5pA+YCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b26dbf4d8cd1740a97b489b53ddbf47434dc2b628f740267ae2d39e15f7527fd","last_reissued_at":"2026-05-25T02:02:34.114893Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:02:34.114893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Inferential Privacy Leakage in Anonymized Conversational AI Logs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.CY","authors_text":"Kiran Garimella, S M Mehedi Zaman","submitted_at":"2026-05-22T16:22:14Z","abstract_excerpt":"Hundreds of millions of users now hold detailed, multi-turn conversations with ChatGPT and similar LLM assistants. We measure two privacy-relevant features of these conversations on a corpus of complete ChatGPT histories donated by over 1,000 users in four Global South countries (Brazil, India, Nigeria, Pakistan). First, on explicit disclosure: 34.5% of user messages contain personal information across a twenty-category taxonomy, with the median user first revealing identifying content within the first 14% of their conversation history. Second, on inference beyond explicit disclosure: we restr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23820","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/2605.23820/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.23820","created_at":"2026-05-25T02:02:34.115026+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.23820v1","created_at":"2026-05-25T02:02:34.115026+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23820","created_at":"2026-05-25T02:02:34.115026+00:00"},{"alias_kind":"pith_short_12","alias_value":"WJW36TMM2F2A","created_at":"2026-05-25T02:02:34.115026+00:00"},{"alias_kind":"pith_short_16","alias_value":"WJW36TMM2F2AVF5U","created_at":"2026-05-25T02:02:34.115026+00:00"},{"alias_kind":"pith_short_8","alias_value":"WJW36TMM","created_at":"2026-05-25T02:02:34.115026+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ","json":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ.json","graph_json":"https://pith.science/api/pith-number/WJW36TMM2F2AVF5URG2T3W7UOQ/graph.json","events_json":"https://pith.science/api/pith-number/WJW36TMM2F2AVF5URG2T3W7UOQ/events.json","paper":"https://pith.science/paper/WJW36TMM"},"agent_actions":{"view_html":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ","download_json":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ.json","view_paper":"https://pith.science/paper/WJW36TMM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.23820&json=true","fetch_graph":"https://pith.science/api/pith-number/WJW36TMM2F2AVF5URG2T3W7UOQ/graph.json","fetch_events":"https://pith.science/api/pith-number/WJW36TMM2F2AVF5URG2T3W7UOQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ/action/storage_attestation","attest_author":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ/action/author_attestation","sign_citation":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ/action/citation_signature","submit_replication":"https://pith.science/pith/WJW36TMM2F2AVF5URG2T3W7UOQ/action/replication_record"}},"created_at":"2026-05-25T02:02:34.115026+00:00","updated_at":"2026-05-25T02:02:34.115026+00:00"}