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Paper Citation Record · LEDGER

Policy Gradient in Partially Observable Environments: Approximation and Convergence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.07900.

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

pith.paper-citation-record.v1
1810.07900 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:29.414918Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:16:36.072471Z

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 ad02c292-1ac6-4c13-b308-fce82cf1bde8 · inbound

Optimistic Proximal Policy Optimization cites this paper.

Optimistic Proximal Policy Optimization Policy Gradient in Partially Observable Environments: Approximation and Convergence

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T16:31:01.506986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T16:29:45.847569Z digest=sha256:c1df6a0441ed0094396129188c9cbe4cb8c626a9efb40898ba252e02f696400c

Observation eeb51ead-42fa-4bba-9a05-692da6fbf810 · inbound

Action-Gradient Monte Carlo Tree Search for Non-Parametric Continuous (PO)MDPs cites this paper.

Action-Gradient Monte Carlo Tree Search for Non-Parametric Continuous (PO)MDPs Policy Gradient in Partially Observable Environments: Approximation and Convergence

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T00:12:17.814520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T00:08:16.042227Z digest=sha256:72fa1901444ca1f9426268615acb6721644b20909c555d25572d97eeb328616e

Observation 8e3dabbf-8f89-4c53-80c7-b30bff4f7e6c · inbound

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes cites this paper.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Policy Gradient in Partially Observable Environments: Approximation and Convergence

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-07T10:21:29.414918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:29.414918Z digest=sha256:b0914a83a12470b704633611331aa6055d78dc80acd6d3bc28f0ac3dafcc1e1f

Observation f673fe8b-89e0-4bbd-8811-6c630ad2d443 · inbound

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong cites this paper.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Policy Gradient in Partially Observable Environments: Approximation and Convergence

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:19.583197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.583197Z digest=sha256:cdb7e1a3a637661d4961634380ca743b8a81b0a173f07a95fd0876f231899c34

Observation 0f294dcf-1119-4d71-b277-890e767a30c7 · inbound

The Value Function Semi-Algebraic Set in Partially Observable Markov Decision Processes cites this paper.

The Value Function Semi-Algebraic Set in Partially Observable Markov Decision Processes Policy Gradient in Partially Observable Environments: Approximation and Convergence

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T04:16:36.073847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T09:15:54.593755Z digest=sha256:4e6731b6b84844eade64b7885afaf5ff32eb1a786a84067f3a8e4e6f18015243