{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:6XEG2653MA2YXO674RU2VXER32","short_pith_number":"pith:6XEG2653","schema_version":"1.0","canonical_sha256":"f5c86d7bbb60358bbbdfe469aadc91dea1d060fd175d317ca9f25103613e0dde","source":{"kind":"arxiv","id":"2607.05318","version":1},"attestation_state":"computed","paper":{"title":"PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.MA","authors_text":"Abhinav Kumar, Cem Subakan, Eugene Bagdasarian, Nazanin Mohammadi Sepahvand, Perouz Taslakian, Pierre-Andr\\'e No\\\"el, Shubham Gupta, Spandana Gella, Valentina Zantedeschi","submitted_at":"2026-07-06T16:57:24Z","abstract_excerpt":"As LLM agents evolve from single-user assistants into shared organizational infrastructure, new privacy risks emerge: inappropriate information may not only be exposed through outputs for external recipients, but also internally across users through inter-agent messages, shared memory and agents. These data spillage risks are not captured by existing privacy benchmarks grounded in contextual integrity (CI) as they focus primarily on either single-user settings or interactions between independently owned agents. We introducePiSAs (Privacy in Shared Agentic systems), a benchmark for assessing un"},"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":"2607.05318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-07-06T16:57:24Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"fbead2b3347537a86f351155c7103a9cb6b73d8f09d5796dd35bf37109b58326","abstract_canon_sha256":"d70c27cb5e04dc913c168e071a53f2f49ecaa9e001139d2f3e7e7a1417c8b6c1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T03:19:23.352340Z","signature_b64":"/FZjVheuymEaxxZnCuDqP52wlZ96ENJrnTfceeTv97UCBySA6wyKH9eFUnjchbIRnI6xXOGFdiLQkTLGU88WDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5c86d7bbb60358bbbdfe469aadc91dea1d060fd175d317ca9f25103613e0dde","last_reissued_at":"2026-07-07T03:19:23.351822Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T03:19:23.351822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.MA","authors_text":"Abhinav Kumar, Cem Subakan, Eugene Bagdasarian, Nazanin Mohammadi Sepahvand, Perouz Taslakian, Pierre-Andr\\'e No\\\"el, Shubham Gupta, Spandana Gella, Valentina Zantedeschi","submitted_at":"2026-07-06T16:57:24Z","abstract_excerpt":"As LLM agents evolve from single-user assistants into shared organizational infrastructure, new privacy risks emerge: inappropriate information may not only be exposed through outputs for external recipients, but also internally across users through inter-agent messages, shared memory and agents. These data spillage risks are not captured by existing privacy benchmarks grounded in contextual integrity (CI) as they focus primarily on either single-user settings or interactions between independently owned agents. We introducePiSAs (Privacy in Shared Agentic systems), a benchmark for assessing un"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.05318","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/2607.05318/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":"2607.05318","created_at":"2026-07-07T03:19:23.351890+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.05318v1","created_at":"2026-07-07T03:19:23.351890+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.05318","created_at":"2026-07-07T03:19:23.351890+00:00"},{"alias_kind":"pith_short_12","alias_value":"6XEG2653MA2Y","created_at":"2026-07-07T03:19:23.351890+00:00"},{"alias_kind":"pith_short_16","alias_value":"6XEG2653MA2YXO67","created_at":"2026-07-07T03:19:23.351890+00:00"},{"alias_kind":"pith_short_8","alias_value":"6XEG2653","created_at":"2026-07-07T03:19:23.351890+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/6XEG2653MA2YXO674RU2VXER32","json":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32.json","graph_json":"https://pith.science/api/pith-number/6XEG2653MA2YXO674RU2VXER32/graph.json","events_json":"https://pith.science/api/pith-number/6XEG2653MA2YXO674RU2VXER32/events.json","paper":"https://pith.science/paper/6XEG2653"},"agent_actions":{"view_html":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32","download_json":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32.json","view_paper":"https://pith.science/paper/6XEG2653","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.05318&json=true","fetch_graph":"https://pith.science/api/pith-number/6XEG2653MA2YXO674RU2VXER32/graph.json","fetch_events":"https://pith.science/api/pith-number/6XEG2653MA2YXO674RU2VXER32/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32/action/storage_attestation","attest_author":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32/action/author_attestation","sign_citation":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32/action/citation_signature","submit_replication":"https://pith.science/pith/6XEG2653MA2YXO674RU2VXER32/action/replication_record"}},"created_at":"2026-07-07T03:19:23.351890+00:00","updated_at":"2026-07-07T03:19:23.351890+00:00"}