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Paper Citation Record · LEDGER

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.03552.

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

pith.paper-citation-record.v1
2403.03552 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:38:32.628743Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:22:02.423945Z

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 c9151804-421f-4a6f-8d98-d4acac624266 · inbound

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning cites this paper.

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T16:38:32.628743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:38:32.628743Z digest=sha256:f39cc3bdc311673075dcb65f8884799ee1e2a589603bf450332c80318f7b3d6e

Observation e632cc6b-3564-41cf-8ff3-e64283ab9f66 · inbound

Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies cites this paper.

Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:22:02.426620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T01:17:41.135172Z digest=sha256:1644191358dcc1995415cb64d71e61670298a5df0c1d7820db58d7947190e078