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Paper Citation Record · LEDGER

A Review of Cooperation in Multi-agent Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.05162.

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

pith.paper-citation-record.v1
2312.05162 v1

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:14.721088Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:16:53.414395Z

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 75ced97b-248b-4a0c-abb2-8c72f6ae46b4 · inbound

Sorrel: A simple and flexible framework for multi-agent reinforcement learning cites this paper.

Sorrel: A simple and flexible framework for multi-agent reinforcement learning A Review of Cooperation in Multi-agent Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:14.721088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:14.721088Z digest=sha256:85d44347705e1eae532bf2abb965ddf41c76e5dda0f7dd1507c1b40474a43572

Observation 18510df1-a732-49b2-afbc-00d85924971b · inbound

Learning Motion Skills with Adaptive Assistive Curriculum Force in Humanoid Robots cites this paper.

Learning Motion Skills with Adaptive Assistive Curriculum Force in Humanoid Robots A Review of Cooperation in Multi-agent Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:52.363153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:52.363153Z digest=sha256:d31863cc6385005a2813256f0aa8ced9f08468b816c014499fdd0c21d5c96b58

Observation 3f337870-9115-4a8b-8e6f-5a41e01ee6e7 · inbound

Virtual Agent Economies cites this paper.

Virtual Agent Economies A Review of Cooperation in Multi-agent Learning

Reference 2720

Resolution
unresolved
no resolver link, observed 2026-08-04T18:09:36.922072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:09:36.922072Z digest=sha256:d4e12fea6f43467a581bdd17c21db764f609c70b63090fda58d39313a2a5200d

Observation 146168a3-0709-449a-8441-ebcd4a84d82f · inbound

Emergent Social Intelligence Risks in Generative Multi-Agent Systems cites this paper.

Emergent Social Intelligence Risks in Generative Multi-Agent Systems A Review of Cooperation in Multi-agent Learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:48:00.872576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:45:04.625084Z digest=sha256:9fc454be49a57b759ac2f98606cfeb52a1e7537d2d32e549b601756eff1508b3

Observation 3ab4fe38-9c26-40c3-8b52-eb5a8bcd40c4 · inbound

Learning to cooperate with emergent reputation via multi-agent reinforcement learning cites this paper.

Learning to cooperate with emergent reputation via multi-agent reinforcement learning A Review of Cooperation in Multi-agent Learning

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:16:53.416662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T04:23:39.844854Z digest=sha256:7c58d08b8059e7548997e24761f5ac2c90f18337158848b75f5c042e1fd1f626

Observation 21b12909-a796-4a19-a9a3-5e000d6edab9 · inbound

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback cites this paper.

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback A Review of Cooperation in Multi-agent Learning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-03T04:39:30.816292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:39:30.816292Z digest=sha256:c534c9ed497b52a767bfda5e160ac878c82cd6d24152e3ae5aadc2b112ed7a1a