{"as_of":"2026-08-11T15:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aead40e329251bbde0edac9c823423d2e1e8da1d09622b28dcb8f9aa93b5993d","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T04:38:57.415170Z","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":"2026-05-21T10:04:06.651894Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.05261","last_updated":"2023-11-09T10:40:04Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T10:40:04Z","title":"RAGLog: Log Anomaly Detection using Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05261","snapshot_observed_at":"2026-08-08T04:38:57.415170Z","title":"RAGLog: Log Anomaly Detection using Retrieval Augmented Generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08576","last_updated":"2025-04-11T09:41:45Z","snapshot_observed_at":"2026-08-09T01:08:52.935162Z","submitted_at":"2025-02-12T17:10:34Z","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","version":2},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:57.415170Z"},"links":{"cited_paper":"/paper/2311.05261","citing_paper":"/paper/2502.08576"},"observation_digest":"sha256:396e1c4a5899247f2d12e00bfe9acaef11dcf5b4ab0894c827eff6b7089b300b","observation_id":"db810034-bb85-4658-9ba8-f1b5e83b35c4","resolution":{"observed_at":"2026-08-08T04:38:57.415170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05261","last_updated":"2023-11-09T10:40:04Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T10:40:04Z","title":"RAGLog: Log Anomaly Detection using Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":"2311.05261","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.05261","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Raglog: Log anomaly detection using retrieval augmented generation","venue":null,"work_id":"701ade81-770f-46f9-bb04-28fd6244f81e","year":2023},"citing_paper":{"arxiv_id":"2602.07303","last_updated":"2026-04-17T15:29:54Z","snapshot_observed_at":"2026-08-11T08:56:20.653948Z","submitted_at":"2026-02-07T01:30:19Z","title":"KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-16T06:59:23.030671Z"},"links":{"cited_paper":"/paper/2311.05261","citing_paper":"/paper/2602.07303"},"observation_digest":"sha256:9175d45d05dc119824819461be2e01d0a2cb3ab7890240879faf94033499cd54","observation_id":"f1196b1e-3e21-407b-ab4d-67bdbaf1ff0b","resolution":{"observed_at":"2026-05-16T07:00:42.965700Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05261","last_updated":"2023-11-09T10:40:04Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T10:40:04Z","title":"RAGLog: Log Anomaly Detection using Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":"2311.05261","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.05261","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Raglog: Log anomaly detection using retrieval augmented generation","venue":null,"work_id":"701ade81-770f-46f9-bb04-28fd6244f81e","year":2023},"citing_paper":{"arxiv_id":"2604.16359","last_updated":"2026-05-19T20:19:49Z","snapshot_observed_at":"2026-08-11T13:50:45.761607Z","submitted_at":"2026-03-18T20:34:58Z","title":"LLM4Log: A Systematic Review of Large Language Model-based Log Analysis","version":1},"reference_index":126,"source":"pdf_text","source_observed_at":"2026-05-15T08:21:04.998443Z"},"links":{"cited_paper":"/paper/2311.05261","citing_paper":"/paper/2604.16359"},"observation_digest":"sha256:277a7e2962d9200ab926344d9daffc9e2a0f19a23aabc6f61adb942beaa0afbc","observation_id":"4b03dcd7-d825-40c8-b70a-86931ad1ebff","resolution":{"observed_at":"2026-05-15T08:25:19.133592Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05261","last_updated":"2023-11-09T10:40:04Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T10:40:04Z","title":"RAGLog: Log Anomaly Detection using Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":"2311.05261","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.05261","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Raglog: Log anomaly detection using retrieval augmented generation","venue":null,"work_id":"701ade81-770f-46f9-bb04-28fd6244f81e","year":2023},"citing_paper":{"arxiv_id":"2604.16359","last_updated":"2026-05-19T20:19:49Z","snapshot_observed_at":"2026-08-11T13:50:45.761607Z","submitted_at":"2026-03-18T20:34:58Z","title":"LLM4Log: A Systematic Review of Large Language Model-based Log Analysis","version":2},"reference_index":126,"source":"pdf_text","source_observed_at":"2026-05-21T10:00:03.036921Z"},"links":{"cited_paper":"/paper/2311.05261","citing_paper":"/paper/2604.16359"},"observation_digest":"sha256:be17cd1c8baa1ba6cb84707c6f178b4636838fb9a6addaed30754064b7b4f558","observation_id":"04630070-e599-4ec6-88da-9b3456cc8dfb","resolution":{"observed_at":"2026-05-21T10:04:06.653713Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05261","last_updated":"2023-11-09T10:40:04Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T10:40:04Z","title":"RAGLog: Log Anomaly Detection using Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05261","snapshot_observed_at":"2026-08-02T01:59:41.746649Z","title":"Rodrigo Pedro, Miguel E","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14493","last_updated":"2026-07-16T02:15:35Z","snapshot_observed_at":"2026-08-11T09:18:47.701447Z","submitted_at":"2026-07-16T02:15:35Z","title":"Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T01:59:41.746649Z"},"links":{"cited_paper":"/paper/2311.05261","citing_paper":"/paper/2607.14493"},"observation_digest":"sha256:143d5b9e595c9ff7806d58c289dcf8139f39748065624e61b18bd035de33f9bc","observation_id":"d8b8ba1d-a620-407e-90ed-2f7fdc6cfef6","resolution":{"observed_at":"2026-08-02T01:59:41.746649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.05261/citation-record","integrity":"/paper/2311.05261/integrity","json":"/paper/2311.05261/citation-record.json","paper":"/paper/2311.05261"},"outbound":[],"paper":{"arxiv_id":"2311.05261","last_updated":"2023-11-09T10:40:04Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T10:40:04Z","title":"RAGLog: Log Anomaly Detection using Retrieval Augmented Generation"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.05261."}