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Paper Citation Record · LEDGER

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.12872.

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

pith.paper-citation-record.v1
2305.12872 v3

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 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:22:09.581417Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:48:50.041071Z

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 bd5bb53a-38a5-4ccd-a9eb-65007ce2c0ec · inbound

Towards Fault Tolerance in Multi-Agent Reinforcement Learning cites this paper.

Towards Fault Tolerance in Multi-Agent Reinforcement Learning Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T05:22:09.581417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:09.581417Z digest=sha256:653bef88b7fc433f3f1a92471d719b25412bf81d2ac8aef4e84d34c13c0dacf3

Observation 55bede64-ad93-4bff-ab54-4ca9aeabbac9 · inbound

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning cites this paper.

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:25:20.289383Z

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.

source=pdf_text observed=2026-05-23T03:24:33.788346Z digest=sha256:0a62919b6867d4b33cba22604f27e014e70054c7ebcf14e4e78185466c7a690d

Observation 5638c24c-310b-4e3f-86ae-38d7d9f5597d · inbound

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning cites this paper.

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:51:33.871750Z

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.

source=pdf_text observed=2026-05-18T15:50:58.208995Z digest=sha256:d07ae9c9fa718d6d59f86d5dfed5332ca49e24b0b76bba9c2bde40e25fd2cf78

Observation c6817c55-1538-436b-8bd3-17429a7c3afd · inbound

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning cites this paper.

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:23:16.760093Z

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.

source=pdf_text observed=2026-05-20T12:23:11.320751Z digest=sha256:a7c9bdafc7d63c9d63ad3ac31b98ebd2203e5b6a2120571162ede8a23cdc6b75

Observation ad4ed4ef-1ba7-44d9-84a8-1276509fa5cb · inbound

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning cites this paper.

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:55:00.823586Z

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.

source=pdf_text observed=2026-06-30T18:47:09.501908Z digest=sha256:874b77f7207bdb12a9e444d604399a144ed6f59b9474da10b1d5929cee01d8c5

Observation cf52bdfd-b530-4039-91be-644a4cdf6511 · inbound

BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning cites this paper.

BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:48:50.042620Z

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.

source=pdf_text observed=2026-06-27T02:18:55.535721Z digest=sha256:3cdcfa56d27b2af08ea544f0097fbcca86466847395dad03156d3b96f98b5f3c