Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:58.032351Z

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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:6c2b5d958bf7f951e30c1014811d111cc082daa99bc0d3061af032103cea6504

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:d97cef668435c8b8d9c70ddad94ee849a6db03788cb4845820531cac7f92c580

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=sha256:13336305125259e7b7d6c96fcc40664c2bcb5f760453a7eae707464665c886f3

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=sha256:7307d6401602231c146f500b5ecb2119225f617917e6dfaf65d37cea3df6e081

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T07:56:01.638262Z digest=sha256:b01b5202b794cbf2f663c5e48ed612225fbbb2bab8221fe8f3c35a4a4eaae2ae