{"as_of":"2026-08-15T12:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e1158ceb9ccb438b0edec4bd746c59c8c93f1bd84f8a22d960fe7e3cdbf27487","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":"2026-08-15T06:32:42.880941+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":"2026-06-29T12:00:05.330178Z","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":"2026-06-29T12:03:23.950682Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.06913","last_updated":"2025-05-11T09:19:10Z","snapshot_observed_at":"2026-08-13T07:05:30.892860Z","submitted_at":"2025-05-11T09:19:10Z","title":"RedTeamLLM: an Agentic AI framework for offensive security","version":1},"cited_work":{"arxiv_id":"2505.06913","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06913","snapshot_observed_at":"2026-06-29T12:03:23.950682Z","title":"RedTeamLLM: An agentic AI framework for offensive security","venue":null,"work_id":"1e205b5b-ee58-4379-ab06-adcbbf25f8c9","year":2025},"citing_paper":{"arxiv_id":"2604.05719","last_updated":"2026-04-07T11:19:16Z","snapshot_observed_at":"2026-08-11T18:11:23.119647Z","submitted_at":"2026-04-07T11:19:16Z","title":"Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:57.225878Z"},"links":{"cited_paper":"/paper/2505.06913","citing_paper":"/paper/2604.05719"},"observation_digest":"sha256:3b11537bbbc243c0c73800f7ff57078fc0ae787d557793d63a1e391e69931ace","observation_id":"2ed5c236-14f4-491c-92de-16f4d088dbd8","resolution":{"observed_at":"2026-05-10T23:45:52.800364Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06913","last_updated":"2025-05-11T09:19:10Z","snapshot_observed_at":"2026-08-13T07:05:30.892860Z","submitted_at":"2025-05-11T09:19:10Z","title":"RedTeamLLM: an Agentic AI framework for offensive security","version":1},"cited_work":{"arxiv_id":"2505.06913","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06913","snapshot_observed_at":"2026-06-29T12:03:23.950682Z","title":"RedTeamLLM: An agentic AI framework for offensive security","venue":null,"work_id":"1e205b5b-ee58-4379-ab06-adcbbf25f8c9","year":2025},"citing_paper":{"arxiv_id":"2605.01892","last_updated":"2026-05-03T14:15:11Z","snapshot_observed_at":"2026-08-15T01:12:59.769219Z","submitted_at":"2026-05-03T14:15:11Z","title":"CyberAId: AI-Driven Cybersecurity for Financial Service Providers","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-09T17:28:03.091189Z"},"links":{"cited_paper":"/paper/2505.06913","citing_paper":"/paper/2605.01892"},"observation_digest":"sha256:88d08156d5b7155cf826d7940239e2fb8c862fde66c880a7cded23377e161698","observation_id":"178a6576-2a25-475e-a7e9-de092d2b9932","resolution":{"observed_at":"2026-05-11T16:21:06.896686Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06913","last_updated":"2025-05-11T09:19:10Z","snapshot_observed_at":"2026-08-13T07:05:30.892860Z","submitted_at":"2025-05-11T09:19:10Z","title":"RedTeamLLM: an Agentic AI framework for offensive security","version":1},"cited_work":{"arxiv_id":"2505.06913","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06913","snapshot_observed_at":"2026-06-29T12:03:23.950682Z","title":"RedTeamLLM: An agentic AI framework for offensive security","venue":null,"work_id":"1e205b5b-ee58-4379-ab06-adcbbf25f8c9","year":2025},"citing_paper":{"arxiv_id":"2605.28334","last_updated":"2026-05-31T19:04:51Z","snapshot_observed_at":"2026-08-06T09:08:20.078173Z","submitted_at":"2026-05-27T11:37:18Z","title":"Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity?","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T12:00:05.330178Z"},"links":{"cited_paper":"/paper/2505.06913","citing_paper":"/paper/2605.28334"},"observation_digest":"sha256:f69bd3ad5644af42d720e0efab1d5b6927f36379ffa56b8c8e4913ea05d0eaf1","observation_id":"3d73d0f8-0128-4737-bd02-9bc45a8f211c","resolution":{"observed_at":"2026-06-29T12:03:23.952223Z","resolver_source":"arxiv_id","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/2505.06913/citation-record","integrity":"/paper/2505.06913/integrity","json":"/paper/2505.06913/citation-record.json","paper":"/paper/2505.06913"},"outbound":[],"paper":{"arxiv_id":"2505.06913","last_updated":"2025-05-11T09:19:10Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-13T07:05:30.892860Z","submitted_at":"2025-05-11T09:19:10Z","title":"RedTeamLLM: an Agentic AI framework for offensive security"},"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 3 inbound Pith citation observations for arXiv:2505.06913."}