Paper Citation Record · LEDGER

Lessons From Red Teaming 100 Generative AI Products

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.07238.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.07238 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:46:13.155672Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ad83c726-9b74-48cd-9d78-bc2e24b9b9d1 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Lessons From Red Teaming 100 Generative AI Products

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:13.155672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad964c6c-4244-46ac-a02b-af87d2558958 · inbound

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours cites this paper.

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours Lessons From Red Teaming 100 Generative AI Products

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:51:46.468454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd5394d4-2166-48bc-a2df-182277ffd739 · inbound

A Multi-Domain Red Teaming Framework for Safety, Robustness, and Fairness Evaluation of Medical Large Language Models cites this paper.

A Multi-Domain Red Teaming Framework for Safety, Robustness, and Fairness Evaluation of Medical Large Language Models Lessons From Red Teaming 100 Generative AI Products

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T20:28:47.125448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a716c237-9b1c-4f5d-ac85-09a66b77bff5 · inbound

Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events cites this paper.

Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events Lessons From Red Teaming 100 Generative AI Products

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-27T21:41:18.439455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d13459c7-db46-46d0-8bb6-aa92ed3a26c1 · inbound

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development cites this paper.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Lessons From Red Teaming 100 Generative AI Products

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T07:40:18.525826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924f14b2-dac5-4c23-b12a-26e8f1a03134 · inbound

Decentralized Granular Access Control for Agentic AI Systems in Critical Infrastructure cites this paper.

Decentralized Granular Access Control for Agentic AI Systems in Critical Infrastructure Lessons From Red Teaming 100 Generative AI Products

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T11:16:39.130509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.