{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TSJSZ7SA3AIMNJT5VRK35KXLF7","short_pith_number":"pith:TSJSZ7SA","schema_version":"1.0","canonical_sha256":"9c932cfe40d810c6a67dac55beaaeb2fe242920b9371f57a2db3d4f7daaad9ac","source":{"kind":"arxiv","id":"2606.09754","version":1},"attestation_state":"computed","paper":{"title":"Human-Centred Risk Mitigation for AI-Mediated Information Manipulation: A SOCMINT Framework Based on Information Manipulation Sets","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.SI"],"primary_cat":"cs.CY","authors_text":"Antonio Scala","submitted_at":"2026-06-08T17:12:11Z","abstract_excerpt":"AI-mediated information manipulation increasingly takes the form of social cyber attacks that target trust, attention, credibility, reputation, and decision-making rather than only technical infrastructures or isolated false contents. Existing defensive approaches often oscillate between incident-level analysis, which fragments campaigns into weak signals, and attribution-first analysis, which may delay mitigation until responsibility is established. This paper proposes a SOCMINT framework based on Information Manipulation Sets (IMS) as an intermediate operational unit between individual incid"},"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":"2606.09754","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-06-08T17:12:11Z","cross_cats_sorted":["cs.CR","cs.SI"],"title_canon_sha256":"5c89996d38ac7e87ff8791e51dbec16d6bbc9a8819a0f59accf6cb440175198f","abstract_canon_sha256":"40cf373e9f5cf216eb0e85cfc87b7eea48936bb9171a92cffdadd6be0192fbb1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:09:07.712536Z","signature_b64":"qpqnGaHCKZ+oWomqxIQNN7QaL5+ZTeaGwbyMEBUKZWPT638O/I0GWMBGDgEO36Ww6vRRNNOcaZGcBkM8tWh1Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c932cfe40d810c6a67dac55beaaeb2fe242920b9371f57a2db3d4f7daaad9ac","last_reissued_at":"2026-06-09T02:09:07.711678Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:09:07.711678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Human-Centred Risk Mitigation for AI-Mediated Information Manipulation: A SOCMINT Framework Based on Information Manipulation Sets","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.SI"],"primary_cat":"cs.CY","authors_text":"Antonio Scala","submitted_at":"2026-06-08T17:12:11Z","abstract_excerpt":"AI-mediated information manipulation increasingly takes the form of social cyber attacks that target trust, attention, credibility, reputation, and decision-making rather than only technical infrastructures or isolated false contents. Existing defensive approaches often oscillate between incident-level analysis, which fragments campaigns into weak signals, and attribution-first analysis, which may delay mitigation until responsibility is established. This paper proposes a SOCMINT framework based on Information Manipulation Sets (IMS) as an intermediate operational unit between individual incid"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09754","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/2606.09754/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":"2606.09754","created_at":"2026-06-09T02:09:07.711809+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.09754v1","created_at":"2026-06-09T02:09:07.711809+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09754","created_at":"2026-06-09T02:09:07.711809+00:00"},{"alias_kind":"pith_short_12","alias_value":"TSJSZ7SA3AIM","created_at":"2026-06-09T02:09:07.711809+00:00"},{"alias_kind":"pith_short_16","alias_value":"TSJSZ7SA3AIMNJT5","created_at":"2026-06-09T02:09:07.711809+00:00"},{"alias_kind":"pith_short_8","alias_value":"TSJSZ7SA","created_at":"2026-06-09T02:09:07.711809+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/TSJSZ7SA3AIMNJT5VRK35KXLF7","json":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7.json","graph_json":"https://pith.science/api/pith-number/TSJSZ7SA3AIMNJT5VRK35KXLF7/graph.json","events_json":"https://pith.science/api/pith-number/TSJSZ7SA3AIMNJT5VRK35KXLF7/events.json","paper":"https://pith.science/paper/TSJSZ7SA"},"agent_actions":{"view_html":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7","download_json":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7.json","view_paper":"https://pith.science/paper/TSJSZ7SA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.09754&json=true","fetch_graph":"https://pith.science/api/pith-number/TSJSZ7SA3AIMNJT5VRK35KXLF7/graph.json","fetch_events":"https://pith.science/api/pith-number/TSJSZ7SA3AIMNJT5VRK35KXLF7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7/action/storage_attestation","attest_author":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7/action/author_attestation","sign_citation":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7/action/citation_signature","submit_replication":"https://pith.science/pith/TSJSZ7SA3AIMNJT5VRK35KXLF7/action/replication_record"}},"created_at":"2026-06-09T02:09:07.711809+00:00","updated_at":"2026-06-09T02:09:07.711809+00:00"}