Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OpenAI's Approach to External Red Teaming for AI Models and Systems
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.16431.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:03.649321Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T07:05:28.399005Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation bcaa22ee-342f-4a0c-a076-6c87e1fc4f60 · inbound
Aggregated Individual Reporting for Post-Deployment Evaluation cites this paper.
Aggregated Individual Reporting for Post-Deployment Evaluation OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:28:03.649321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a217b5d6-a94c-4be0-aa38-8cdacf503c75 · inbound
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:54:21.583577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 465d3ab9-8598-4509-85f9-b27720452408 · inbound
Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments cites this paper.
Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:39:52.953061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 617e1a99-035c-45ac-a900-2147d5010f51 · inbound
AVISE: Framework for Evaluating the Security of AI Systems cites this paper.
AVISE: Framework for Evaluating the Security of AI Systems OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:47.392941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c3a048c8-5412-4de2-bf0f-b09f2ee6d403 · inbound
FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated Journalism cites this paper.
FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated Journalism OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:46:09.250035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3de5aa7e-bd9d-453e-a463-e33de5893767 · inbound
FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption cites this paper.
FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:16:28.280098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b57155c6-d006-4e62-a40f-f76e39746fbd · inbound
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems cites this paper.
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T17:28:47.979561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d7f537e8-b4d5-4dc2-b23d-33029713e66e · inbound
Understanding Censorship in Large Language Models: From Mechanisms to Governance cites this paper.
Understanding Censorship in Large Language Models: From Mechanisms to Governance OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T07:05:28.401819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 92c0aac1-bb0d-477b-a0c0-6920772714a4 · inbound
Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety cites this paper.
Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety OpenAI's Approach to External Red Teaming for AI Models and Systems
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T14:28:50.627444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.