{"as_of":"2026-08-09T16:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:16ebc3d87ef9bb3784ef88510bd1cb59d05960045f655db9de4efe5c20b7ac24","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T05:39:49.867395Z","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":"2026-05-18T08:36:07.260875Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.06344","last_updated":"2020-03-13T15:34:33Z","snapshot_observed_at":"2026-08-09T11:18:03.280964Z","submitted_at":"2020-03-13T15:34:33Z","title":"Automating Botnet Detection with Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2003.06344","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.06344","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Automating botnet detection with graph neural network","venue":null,"work_id":"95bf658c-0cc8-4271-8ac0-d498c86ef8fd","year":2003},"citing_paper":{"arxiv_id":"2510.07285","last_updated":"2026-04-14T07:34:51Z","snapshot_observed_at":"2026-07-06T22:32:03.314860Z","submitted_at":"2025-10-08T17:45:59Z","title":"GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-18T08:35:56.597939Z"},"links":{"cited_paper":"/paper/2003.06344","citing_paper":"/paper/2510.07285"},"observation_digest":"sha256:d71cfcbd10252b9a4de50d086cc0770995ef7a8d7590abd6e9e50598501d9ba2","observation_id":"fe610953-ea1a-4c07-979a-adbcd0a25997","resolution":{"observed_at":"2026-05-18T08:36:07.264332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.06344","last_updated":"2020-03-13T15:34:33Z","snapshot_observed_at":"2026-08-09T11:18:03.280964Z","submitted_at":"2020-03-13T15:34:33Z","title":"Automating Botnet Detection with Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.06344","snapshot_observed_at":"2026-07-12T05:39:49.867395Z","title":"Automating botnet detection with graph neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02981","last_updated":"2026-07-03T05:39:47Z","snapshot_observed_at":"2026-07-12T05:39:49.558057Z","submitted_at":"2026-07-03T05:39:47Z","title":"Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-12T05:39:49.867395Z"},"links":{"cited_paper":"/paper/2003.06344","citing_paper":"/paper/2607.02981"},"observation_digest":"sha256:44b36e73d560f2ec2710278f0ffc5ad194829acdb647909fff1b5a88148f1fca","observation_id":"70cf6048-b7d5-43d0-8b2b-95cac249f231","resolution":{"observed_at":"2026-07-12T05:39:49.867395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.06344","last_updated":"2020-03-13T15:34:33Z","snapshot_observed_at":"2026-08-09T11:18:03.280964Z","submitted_at":"2020-03-13T15:34:33Z","title":"Automating Botnet Detection with Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.06344","snapshot_observed_at":"2026-07-12T01:21:58.690619Z","title":"arXiv preprint arXiv:2003.06344 , year=","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2607.03587","last_updated":"2026-07-03T20:11:34Z","snapshot_observed_at":"2026-08-03T10:35:17.929413Z","submitted_at":"2026-07-03T20:11:34Z","title":"Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-12T01:21:58.690619Z"},"links":{"cited_paper":"/paper/2003.06344","citing_paper":"/paper/2607.03587"},"observation_digest":"sha256:96a058654db131240e3595b273514941e2d9d37a5bbc7e02817ba84dc9c9469b","observation_id":"df81487c-83e9-4831-ae82-9cb3f4fb1151","resolution":{"observed_at":"2026-07-12T01:21:58.690619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2003.06344/citation-record","integrity":"/paper/2003.06344/integrity","json":"/paper/2003.06344/citation-record.json","paper":"/paper/2003.06344"},"outbound":[],"paper":{"arxiv_id":"2003.06344","last_updated":"2020-03-13T15:34:33Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-09T11:18:03.280964Z","submitted_at":"2020-03-13T15:34:33Z","title":"Automating Botnet Detection with Graph Neural Networks"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2003.06344."}