{"as_of":"2026-08-18T01:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:036f1248be0edc7cde050ae70f339a5ee4902b11f37bf4bf121867f48efcca69","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T08:05:52.443595Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T06:11:20.085678Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.09199","last_updated":"2021-08-20T14:41:28Z","snapshot_observed_at":"2026-08-16T18:02:01.787884Z","submitted_at":"2021-08-20T14:41:28Z","title":"An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks","version":1},"cited_work":{"arxiv_id":"2108.09199","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.09199","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c9f17c02-010d-4dc7-8a97-44f37c2dd04f","year":2023},"citing_paper":{"arxiv_id":"2604.17556","last_updated":"2026-04-19T17:54:59Z","snapshot_observed_at":"2026-08-17T15:30:15.576069Z","submitted_at":"2026-04-19T17:54:59Z","title":"SoK: Reshaping Research on Network Intrusion Detection Systems","version":1},"reference_index":126,"source":"pdf_text","source_observed_at":"2026-05-10T06:10:28.602632Z"},"links":{"cited_paper":"/paper/2108.09199","citing_paper":"/paper/2604.17556"},"observation_digest":"sha256:2e3b06da377bb172130739e3737578febf86cbc930279bb859043a4d3d5db639","observation_id":"110d4ff8-3d06-42eb-b02a-010d5d010408","resolution":{"observed_at":"2026-05-10T06:11:20.086927Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.09199","last_updated":"2021-08-20T14:41:28Z","snapshot_observed_at":"2026-08-16T18:02:01.787884Z","submitted_at":"2021-08-20T14:41:28Z","title":"An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.09199","snapshot_observed_at":"2026-08-02T08:05:52.443595Z","title":"Soltani, B","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16276","last_updated":"2026-07-08T18:56:51Z","snapshot_observed_at":"2026-08-16T18:50:36.924631Z","submitted_at":"2026-07-08T18:56:51Z","title":"Intelligence-Guided Adaptive Purification for DDoS-Resilient Quantum Networks: A CUDA-Q based Study","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T08:05:52.443595Z"},"links":{"cited_paper":"/paper/2108.09199","citing_paper":"/paper/2607.16276"},"observation_digest":"sha256:997881f0b2a8c9007001a32f33bd8b00728751293e7f1854047af8401a4ea16e","observation_id":"d8074143-8c5a-4bce-bab4-418e808d0943","resolution":{"observed_at":"2026-08-02T08:05:52.443595Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2108.09199/citation-record","integrity":"/paper/2108.09199/integrity","json":"/paper/2108.09199/citation-record.json","paper":"/paper/2108.09199"},"outbound":[],"paper":{"arxiv_id":"2108.09199","last_updated":"2021-08-20T14:41:28Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-16T18:02:01.787884Z","submitted_at":"2021-08-20T14:41:28Z","title":"An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.09199."}