Paper Citation Record · LEDGER

Purple-teaming LLMs with Adversarial Defender Training

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.01850.

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

pith.paper-citation-record.v1
2407.01850 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:25:54.735983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:57:27.710403Z

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 6df875c8-52c5-4bb8-91f3-6c76500f792e · inbound

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models cites this paper.

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models Purple-teaming LLMs with Adversarial Defender Training

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:54.735983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed3ab69c-a3f5-45fb-a68a-4206b040c247 · inbound

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning cites this paper.

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning Purple-teaming LLMs with Adversarial Defender Training

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:10.911575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd307bd1-cd8c-46e8-bb5b-f65949bb724c · inbound

Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation cites this paper.

Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation Purple-teaming LLMs with Adversarial Defender Training

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:57:27.713430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fccb7cd8-214d-4419-9e71-61df4f9a1633 · inbound

Agent Against Agent: An Agentic System for Automatic Prompt Injection Red Teaming cites this paper.

Agent Against Agent: An Agentic System for Automatic Prompt Injection Red Teaming Purple-teaming LLMs with Adversarial Defender Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:45.995659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.