{"as_of":"2026-08-20T22:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6f3f202b4f8bd7606dade7de82d2335c138f284e1bcede2b6565a59846eceb2c","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":"2026-08-20T06:33:59.587034+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":"2026-08-16T00:00:26.339934Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-16T00:00:26.579965Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.12494","last_updated":"2024-05-21T04:37:23Z","snapshot_observed_at":"2026-08-20T20:50:18.036276Z","submitted_at":"2024-05-21T04:37:23Z","title":"Phishing Email Detection Using Inputs From Artificial Intelligence","version":1},"cited_work":{"arxiv_id":"2405.12494","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.12494","snapshot_observed_at":"2026-08-16T00:00:26.579965Z","title":"Phishing Email Detection Using Inputs From Artificial Intelligence","venue":"cs.CR","work_id":"aec007e5-8499-4738-b00c-32b90490574d","year":2024},"citing_paper":{"arxiv_id":"2505.03179","last_updated":"2025-05-06T04:47:52Z","snapshot_observed_at":"2026-08-17T14:50:17.819304Z","submitted_at":"2025-05-06T04:47:52Z","title":"Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T00:00:26.339934Z"},"links":{"cited_paper":"/paper/2405.12494","citing_paper":"/paper/2505.03179"},"observation_digest":"sha256:9862839f03627a023e579ae0d2e526038e79bb36556c6086edc8cb16c1400057","observation_id":"4ca5e513-37dc-496b-925d-00c73a8a7842","resolution":{"observed_at":"2026-08-16T00:00:26.586307Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.12494/citation-record","integrity":"/paper/2405.12494/integrity","json":"/paper/2405.12494/citation-record.json","paper":"/paper/2405.12494"},"outbound":[],"paper":{"arxiv_id":"2405.12494","last_updated":"2024-05-21T04:37:23Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-20T20:50:18.036276Z","submitted_at":"2024-05-21T04:37:23Z","title":"Phishing Email Detection Using Inputs From Artificial Intelligence"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.12494."}