{"as_of":"2026-08-08T23:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:894dd9c277853f1318d4a5056b3166df207dba3a272eee1ae23dea94baad4203","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T21:50:18.584732Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.05078","last_updated":"2024-01-22T08:14:59Z","snapshot_observed_at":"2026-08-06T09:05:21.717445Z","submitted_at":"2024-01-10T11:19:59Z","title":"A Mathematical Theory for Studying and Controlling the Disinformation System Dynamics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.05078","snapshot_observed_at":"2026-08-02T21:50:18.584732Z","title":"Code contamination: legal and security risks of LLM code generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19021","last_updated":"2026-07-20T01:45:23Z","snapshot_observed_at":"2026-08-06T18:04:12.943989Z","submitted_at":"2026-02-22T03:20:49Z","title":"Trustworthy AI LLM Scalability Risk Index (LSRI): A Cybersecurity Framework Assessing Agentic-AI Security & Software Model Supply Chain Safety Boosting AI-Generated Malware Defense & Explainability Mitigating Emerging Risks of Generative AI","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T21:50:18.584732Z"},"links":{"cited_paper":"/paper/2401.05078","citing_paper":"/paper/2602.19021"},"observation_digest":"sha256:99f72a4627b8996bd80dbc3459b05724146d6189f331a7cd975865a5a43882f5","observation_id":"8315cbd5-ea75-4859-8ef0-989b3b5e56b6","resolution":{"observed_at":"2026-08-02T21:50:18.584732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.05078/citation-record","integrity":"/paper/2401.05078/integrity","json":"/paper/2401.05078/citation-record.json","paper":"/paper/2401.05078"},"outbound":[],"paper":{"arxiv_id":"2401.05078","last_updated":"2024-01-22T08:14:59Z","latest_version":2,"primary_category":"math.DS","snapshot_observed_at":"2026-08-06T09:05:21.717445Z","submitted_at":"2024-01-10T11:19:59Z","title":"A Mathematical Theory for Studying and Controlling the Disinformation System Dynamics"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.05078."}