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Paper Citation Record · LEDGER

Neural Recursive Belief States in Multi-Agent Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.02274.

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

pith.paper-citation-record.v1
2102.02274 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:13:57.256500Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T01:58:29.036369Z

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 bdcf5f6e-ecdf-405f-b49f-09f6a08fd992 · inbound

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning cites this paper.

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning Neural Recursive Belief States in Multi-Agent Reinforcement Learning

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:57.256500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:57.256500Z digest=sha256:4bce5af91d078093e0b0f9712aa4eafc3c493a826b2708d61d1bf22cb63c7542

Observation 21641c7c-009c-441d-9159-8275436753d8 · inbound

An Encoded Corrective Double Deep Q-Networks for Multi-Agent Control Systems cites this paper.

An Encoded Corrective Double Deep Q-Networks for Multi-Agent Control Systems Neural Recursive Belief States in Multi-Agent Reinforcement Learning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:58:29.037856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:57:05.502130Z digest=sha256:0bbb2a3dfc54f666ca6346706dec42d1a14f652dd75a82a326a2f84ae1e19745