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Paper Citation Record · LEDGER

A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.03859.

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

pith.paper-citation-record.v1
2209.03859 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:16.269383Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 696121d7-a3fe-4624-aa0e-322df50c2068 · inbound

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review cites this paper.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:42:49.744069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:49.744069Z digest=sha256:3c0c4325fc671c4e5c8603df33006d3484b7fcf52fae3e400a240e779ebea06f

Observation f8ad4a88-52af-4bf9-9123-78dce2a09b4e · inbound

A Survey of Context Engineering for Large Language Models cites this paper.

A Survey of Context Engineering for Large Language Models A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

Reference 196

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:58:45.177517Z

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.

source=pdf_text observed=2026-05-13T20:58:45.060041Z digest=sha256:efe7a0101f0281f5aa23beecf1e756f04f9c8033d7bac90046447a40c8a6fd23

Observation 238c2908-c23b-4f7b-9dc3-de323b312ad8 · inbound

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control cites this paper.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T15:55:16.269383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:55:16.269383Z digest=sha256:3f112f874783d53bed3eea289d96a86b2fbbbadab9e3b1033eb15123f1138616

Observation 3de97e94-4edd-4bd3-a2ea-7040a6649e10 · inbound

Mean Field Reinforcement Learning cites this paper.

Mean Field Reinforcement Learning A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:49.242688Z

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.

source=pdf_text observed=2026-07-03T19:00:24.646789Z digest=sha256:db7c45106de93ca9694b6c22114b3eb66e0bb3bba1f6a59da64dc7417d4a14bf