Paper Citation Record · LEDGER

Adversarial Policies Beat Superhuman Go AIs

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.00241.

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

pith.paper-citation-record.v1
2211.00241 v4

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:09:10.982319Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:03:46.810422Z

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 965d0f9c-af64-45e4-89c1-de83c3a63b33 · inbound

An Overview of Catastrophic AI Risks cites this paper.

An Overview of Catastrophic AI Risks Adversarial Policies Beat Superhuman Go AIs

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:03:46.814610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20529f63-14fb-4fec-bf2e-4008837f52a8 · inbound

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models cites this paper.

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models Adversarial Policies Beat Superhuman Go AIs

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:10.982319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f7975a-6677-4238-b177-c746b50ffe4a · inbound

Detecting AI Assistance in Abstract Complex Tasks cites this paper.

Detecting AI Assistance in Abstract Complex Tasks Adversarial Policies Beat Superhuman Go AIs

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T17:29:53.109037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1dd634-25d1-4989-9f20-f960d7689124 · inbound

LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoning cites this paper.

LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoning Adversarial Policies Beat Superhuman Go AIs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:48.569329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa41835-9478-4e14-9067-f21ad873aee1 · inbound

Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning cites this paper.

Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning Adversarial Policies Beat Superhuman Go AIs

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:00:34.346268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.