{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:U47WQZ5L25Y2BGVMLLBE3O7HUO","short_pith_number":"pith:U47WQZ5L","schema_version":"1.0","canonical_sha256":"a73f6867abd771a09aac5ac24dbbe7a3a5f78d48cbb7c7d36c3197fea08d793c","source":{"kind":"arxiv","id":"2506.12088","version":2},"attestation_state":"computed","paper":{"title":"Risks & Benefits of LLMs & GenAI for Platform Integrity, Healthcare Diagnostics, Financial Trust and Compliance, Cybersecurity, Privacy & AI Safety: A Comprehensive Survey, Roadmap & Implementation Blueprint","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CR","authors_text":"Kiarash Ahi","submitted_at":"2025-06-10T18:03:19Z","abstract_excerpt":"Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, and Copilot (by OpenAI, Anthropic, Google, Meta, and Microsoft, respectively), are reshaping digital platforms and app ecosystems while introducing critical challenges in cybersecurity, privacy, and platform integrity. Our analysis reveals alarming trends: LLM-assisted malware is projected to rise from 2% (2021) to 50% (2025); AI-generated Google reviews grew nearly tenfold (1.2% in 2021 to 12.21% in 2023, expected to reach 30% by 2025); AI scam reports surged 456%; misinformation sites incr"},"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":"2506.12088","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-06-10T18:03:19Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"cebf35c15f5e30e582b1442b9b8a0ee02e5f1613929718fc3e4f4518512625b4","abstract_canon_sha256":"35216a497cbea80ee3e20be4e68ed96ceb724d705585d8a81b62e7d53c1e2a53"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:07.280310Z","signature_b64":"fgiOOMl8r9B2mSkW+J7RogJQfLVuARUvERTxevo/xdg2GRBuMn+vgIebmdYjCa+J5ccfP1pYpSusTmE1VsP7BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a73f6867abd771a09aac5ac24dbbe7a3a5f78d48cbb7c7d36c3197fea08d793c","last_reissued_at":"2026-07-05T11:44:07.279792Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:07.279792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Risks & Benefits of LLMs & GenAI for Platform Integrity, Healthcare Diagnostics, Financial Trust and Compliance, Cybersecurity, Privacy & AI Safety: A Comprehensive Survey, Roadmap & Implementation Blueprint","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CR","authors_text":"Kiarash Ahi","submitted_at":"2025-06-10T18:03:19Z","abstract_excerpt":"Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, and Copilot (by OpenAI, Anthropic, Google, Meta, and Microsoft, respectively), are reshaping digital platforms and app ecosystems while introducing critical challenges in cybersecurity, privacy, and platform integrity. Our analysis reveals alarming trends: LLM-assisted malware is projected to rise from 2% (2021) to 50% (2025); AI-generated Google reviews grew nearly tenfold (1.2% in 2021 to 12.21% in 2023, expected to reach 30% by 2025); AI scam reports surged 456%; misinformation sites incr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12088","kind":"arxiv","version":2},"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/2506.12088/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":"2506.12088","created_at":"2026-07-05T11:44:07.279850+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.12088v2","created_at":"2026-07-05T11:44:07.279850+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12088","created_at":"2026-07-05T11:44:07.279850+00:00"},{"alias_kind":"pith_short_12","alias_value":"U47WQZ5L25Y2","created_at":"2026-07-05T11:44:07.279850+00:00"},{"alias_kind":"pith_short_16","alias_value":"U47WQZ5L25Y2BGVM","created_at":"2026-07-05T11:44:07.279850+00:00"},{"alias_kind":"pith_short_8","alias_value":"U47WQZ5L","created_at":"2026-07-05T11:44:07.279850+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/U47WQZ5L25Y2BGVMLLBE3O7HUO","json":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO.json","graph_json":"https://pith.science/api/pith-number/U47WQZ5L25Y2BGVMLLBE3O7HUO/graph.json","events_json":"https://pith.science/api/pith-number/U47WQZ5L25Y2BGVMLLBE3O7HUO/events.json","paper":"https://pith.science/paper/U47WQZ5L"},"agent_actions":{"view_html":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO","download_json":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO.json","view_paper":"https://pith.science/paper/U47WQZ5L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.12088&json=true","fetch_graph":"https://pith.science/api/pith-number/U47WQZ5L25Y2BGVMLLBE3O7HUO/graph.json","fetch_events":"https://pith.science/api/pith-number/U47WQZ5L25Y2BGVMLLBE3O7HUO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO/action/storage_attestation","attest_author":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO/action/author_attestation","sign_citation":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO/action/citation_signature","submit_replication":"https://pith.science/pith/U47WQZ5L25Y2BGVMLLBE3O7HUO/action/replication_record"}},"created_at":"2026-07-05T11:44:07.279850+00:00","updated_at":"2026-07-05T11:44:07.279850+00:00"}