{"as_of":"2026-08-15T20:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:11a5f2363f4cb3d086dee3149ce2b5c6188f7f5cc7c940b4f065e121678a94e9","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":"2026-08-15T06:32:42.880941+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":"2026-08-11T15:45:23.174938Z","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":"2026-08-11T15:45:23.557333Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.13156","last_updated":"2026-04-15T02:45:06Z","snapshot_observed_at":"2026-08-14T17:13:30.236910Z","submitted_at":"2026-02-13T18:09:30Z","title":"In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach","version":2},"cited_work":{"arxiv_id":"2602.13156","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.13156","snapshot_observed_at":"2026-08-11T15:45:23.557333Z","title":"In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach","venue":"cs.CR","work_id":"b90129b1-0220-4374-b8ec-618a281ced40","year":2026},"citing_paper":{"arxiv_id":"2608.09524","last_updated":"2026-08-10T12:25:12Z","snapshot_observed_at":"2026-08-13T23:44:43.604627Z","submitted_at":"2026-08-10T12:25:12Z","title":"STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:45:23.174938Z"},"links":{"cited_paper":"/paper/2602.13156","citing_paper":"/paper/2608.09524"},"observation_digest":"sha256:95dadcd89b472dcfd2064c2663c63c99e8a764b84a31e7c39427ad98f72b00de","observation_id":"127d05b8-3ede-46ff-9479-9f95caedfcfe","resolution":{"observed_at":"2026-08-11T15:45:23.562831Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2602.13156/citation-record","integrity":"/paper/2602.13156/integrity","json":"/paper/2602.13156/citation-record.json","paper":"/paper/2602.13156"},"outbound":[],"paper":{"arxiv_id":"2602.13156","last_updated":"2026-04-15T02:45:06Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-14T17:13:30.236910Z","submitted_at":"2026-02-13T18:09:30Z","title":"In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2602.13156."}