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Paper Citation Record · LEDGER

Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.00322.

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

pith.paper-citation-record.v1
2310.00322 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:57:22.197956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:52:10.501509Z

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 938e7e1f-d5ad-4ed4-9d25-f97837e1d721 · inbound

Verbalized Bayesian Persuasion cites this paper.

Verbalized Bayesian Persuasion Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-09T14:57:41.549182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.549182Z digest=sha256:d8b4dda7975c519fc9e5c3defb044740ca48b7b99a4b364058222be374583beb

Observation 87af85e8-86d9-4b9b-b901-e41e9b12a763 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.504270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:5814a31ad2ad11728f6c02fabbd54f563a06808ddb9c0b91d17053b7741b02a9

Observation 0dbae9cc-0219-4840-a4df-cde030eb9e45 · inbound

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models cites this paper.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:58.032351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:58.032351Z digest=sha256:93c34172cc9073e4fd7b4e795e2d7a4acc35b031c6b97a1a166490b664ef2714

Observation d0a1e289-57cc-4cfb-9827-eb6e582ba73c · inbound

PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense cites this paper.

PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T16:57:22.197956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:57:22.197956Z digest=sha256:5b7f794d25684798e67f2b4dd77b759bd84f735d89d48b696517b05989c8022d

Observation 500597ce-8439-414f-94f2-00beff6a0f2c · inbound

Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities cites this paper.

Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T15:44:34.911954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:44:34.911954Z digest=sha256:a35b67fec40db72cd72072dc0438ed87a7f100d7f5f25f23b7a3cc7fb798f282

Observation bd839b38-c599-44f5-be17-1564713659d1 · inbound

Safety Alignment of LMs via Non-cooperative Games cites this paper.

Safety Alignment of LMs via Non-cooperative Games Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T14:24:22.866024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T14:24:22.866024Z digest=sha256:5e8549c815e9d43a7b5d0d5ca4fd2ca4b90c30cd15aa0a383d10e71f02bbd665

Observation e394117f-6b2f-46eb-9f6a-b6f241fbeb68 · inbound

The Evaluation Game: Beyond Static LLM Benchmarking cites this paper.

The Evaluation Game: Beyond Static LLM Benchmarking Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:58:07.742911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T07:56:01.638262Z digest=sha256:de3eb92145439aa9508dfed84769b492696223b62c332735895d4e2957345392