{"as_of":"2026-08-07T19:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:101326ad667f5dbdc2258c98fce6d9443661bc6edd9ab5beb24d18a9a9b5a3af","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:45:20.513666Z","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":"2026-05-20T13:17:39.532550Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications","version":2},"cited_work":{"arxiv_id":"2311.08592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.08592","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Radharapu, K","venue":null,"work_id":"d3adc75a-ae6d-4d34-bb5b-745fe0a2a004","year":2023},"citing_paper":{"arxiv_id":"2407.21772","last_updated":"2024-08-04T22:13:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-31T17:48:14Z","title":"ShieldGemma: Generative AI Content Moderation Based on Gemma","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-20T13:17:39.444002Z"},"links":{"cited_paper":"/paper/2311.08592","citing_paper":"/paper/2407.21772"},"observation_digest":"sha256:9bb5b95597c5974a77bfd8702144283c2d6a554456f4324b6ea002ca1b766635","observation_id":"6936c644-67ee-477b-addf-217c0ccaf4c7","resolution":{"observed_at":"2026-05-20T13:17:39.534477Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08592","snapshot_observed_at":"2026-08-06T14:45:20.513666Z","title":"Aart: Ai-assisted red-teaming with diverse data generation for new llm-powered applications","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.17922","last_updated":"2025-07-23T20:39:14Z","snapshot_observed_at":"2026-08-06T14:37:37.075855Z","submitted_at":"2025-07-23T20:39:14Z","title":"From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T14:45:20.513666Z"},"links":{"cited_paper":"/paper/2311.08592","citing_paper":"/paper/2507.17922"},"observation_digest":"sha256:025e3292fd03530592231c50deba85a10d1c6c8c9c9e0a8fd69026adb2ca3d37","observation_id":"e953e225-a21a-4603-b694-b50fb4963a10","resolution":{"observed_at":"2026-08-06T14:45:20.513666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08592","snapshot_observed_at":"2026-08-06T13:05:39.839795Z","title":"Aart: Ai-assisted red-teaming with diverse data generation for new llm-powered applications","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21206","last_updated":"2025-07-28T17:58:12Z","snapshot_observed_at":"2026-08-07T09:13:21.958176Z","submitted_at":"2025-07-28T17:58:12Z","title":"Agentic Web: Weaving the Next Web with AI Agents","version":1},"reference_index":180,"source":"arxiv_source","source_observed_at":"2026-08-06T13:05:39.839795Z"},"links":{"cited_paper":"/paper/2311.08592","citing_paper":"/paper/2507.21206"},"observation_digest":"sha256:adf283f74d6ae8c09fbea1af1b4750371e1192f14c86d418f08050fdb150142d","observation_id":"b2ae3156-39d9-4a0b-80cc-0eebe06135f7","resolution":{"observed_at":"2026-08-06T13:05:39.839795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08592","snapshot_observed_at":"2026-08-06T12:17:38.700638Z","title":"arXiv preprint arXiv:2311.08592 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21929","last_updated":"2025-07-29T15:45:50Z","snapshot_observed_at":"2026-08-06T12:17:38.344060Z","submitted_at":"2025-07-29T15:45:50Z","title":"Libra: Large Chinese-based Safeguard for AI Content","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T12:17:38.700638Z"},"links":{"cited_paper":"/paper/2311.08592","citing_paper":"/paper/2507.21929"},"observation_digest":"sha256:48c0d240361015b7fb796b083c78e22e2905c48594deddbe2dcad71d626217c0","observation_id":"f4093c14-bee1-4cca-9516-90ccde7d5b27","resolution":{"observed_at":"2026-08-06T12:17:38.700638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications","version":2},"cited_work":{"arxiv_id":"2311.08592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.08592","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Radharapu, K","venue":null,"work_id":"d3adc75a-ae6d-4d34-bb5b-745fe0a2a004","year":2023},"citing_paper":{"arxiv_id":"2509.10546","last_updated":"2026-04-24T18:29:01Z","snapshot_observed_at":"2026-08-02T04:58:06.974646Z","submitted_at":"2025-09-07T22:35:15Z","title":"Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-18T17:49:42.112564Z"},"links":{"cited_paper":"/paper/2311.08592","citing_paper":"/paper/2509.10546"},"observation_digest":"sha256:1061fff06d534017905f385eaf289207814e58b1b9bdbfaed3c3a0300bef6e06","observation_id":"faef68d6-738a-401f-94cd-4d9999757189","resolution":{"observed_at":"2026-05-18T17:51:41.870219Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08592","snapshot_observed_at":"2026-08-02T14:52:12.574580Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-Powered Applications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22545","last_updated":"2026-05-06T10:14:30Z","snapshot_observed_at":"2026-08-06T13:04:33.975594Z","submitted_at":"2026-05-06T10:14:30Z","title":"Semalith v1.4: A Calibrated 184M Safety Classifier Achieving State-of-the-Art Prompt-Injection Detection at 44x Fewer Parameters than Llama-Guard-3-8B","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T14:52:12.574580Z"},"links":{"cited_paper":"/paper/2311.08592","citing_paper":"/paper/2607.22545"},"observation_digest":"sha256:a966fe1b8208c670c8929966f1594da5823a9aab7fd59fb1c11b104911a8818a","observation_id":"d84c92da-2222-42a2-8752-5f263b3c9b38","resolution":{"observed_at":"2026-08-02T14:52:12.574580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08592","snapshot_observed_at":"2026-08-06T00:29:56.208408Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.03166","last_updated":"2026-08-04T05:54:32Z","snapshot_observed_at":"2026-08-07T19:11:32.499651Z","submitted_at":"2026-08-04T05:54:32Z","title":"Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent Evaluation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T00:29:56.208408Z"},"links":{"cited_paper":"/paper/2311.08592","citing_paper":"/paper/2608.03166"},"observation_digest":"sha256:a2ac1aa005e0931e6811ece1edede008b395b7fcca44af031898967aeb330be3","observation_id":"153fcb74-d969-4170-8d67-9e08ce1803b1","resolution":{"observed_at":"2026-08-06T00:29:56.208408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.08592/citation-record","integrity":"/paper/2311.08592/integrity","json":"/paper/2311.08592/citation-record.json","paper":"/paper/2311.08592"},"outbound":[],"paper":{"arxiv_id":"2311.08592","last_updated":"2023-11-29T23:18:16Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-07-06T16:47:41.767386Z","submitted_at":"2023-11-14T23:28:23Z","title":"AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.08592."}