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Paper Citation Record · LEDGER

Toward Policy Explanations for Multi-Agent 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:2204.12568.

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

pith.paper-citation-record.v1
2204.12568 v4

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 2026-08-11T15:19:19.303841Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:46:15.178045Z

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 e09b37ba-b2e1-4f87-9ccd-676721842ae5 · inbound

Decoding OTC Government Bond Market Liquidity: An ABM Model for Market Dynamics cites this paper.

Decoding OTC Government Bond Market Liquidity: An ABM Model for Market Dynamics Toward Policy Explanations for Multi-Agent Reinforcement Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T15:19:19.303841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:19:19.303841Z digest=sha256:aa471a3f40760423d7bcc476828f6f49f1b3465e89ebd14955a17ea7109cf7ad

Observation a69d577b-ca81-4157-aa15-235b93cf1208 · inbound

Digital Guardians: The Past and The Future of Cyber-Physical Resilience cites this paper.

Digital Guardians: The Past and The Future of Cyber-Physical Resilience Toward Policy Explanations for Multi-Agent Reinforcement Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:46:15.182941Z

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=2026-05-10T12:41:29.119556Z digest=sha256:9248df3316ceff5419d97ed0e0dec66d7c621a494017df4ceb5989bbf15f64e2