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Paper Citation Record · LEDGER

On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1908.00261.

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

pith.paper-citation-record.v1
1908.00261 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:24:21.047027Z

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

111
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 a3c1607c-ae24-4103-a6d5-ac4d1bf911e0 · inbound

D4RL: Datasets for Deep Data-Driven Reinforcement Learning cites this paper.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T23:19:17.350031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T23:19:17.322890Z digest=sha256:1cf419c5eb7e710d5e9d59782659ba578e79435d7fb143880b14562757382528

Observation b9f683fc-4b3f-417e-ba97-2ac2beffa422 · inbound

Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum cites this paper.

Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:17:36.472837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T08:12:57.430291Z digest=sha256:7956aea3bee38c28be09dd5ce91bd3cb2647690fcba9eaadcae494026e65f8b1

Observation 3f089202-8cee-40c2-bb1f-99f976faab1a · inbound

The Statistical Cost of Adaptation in Multi-Source Transfer Learning cites this paper.

The Statistical Cost of Adaptation in Multi-Source Transfer Learning On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:21:28.936342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T04:19:05.837824Z digest=sha256:93cb880e665ad4cc6c8cece7b000ebe5e514007b4e9ed6fc4373d4598d80d7cb

Observation 12d17779-cf28-4797-9175-37a71ba9d996 · inbound

Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise cites this paper.

Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T02:29:25.190166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-21T02:27:24.989781Z digest=sha256:02289c3fd064ff0a6f015d04cff1ac218a640a8d540648627ba87400d9b4c451

Observation 5eeec720-82c5-4371-9dee-f31596da48d9 · inbound

Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs cites this paper.

Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:24:32.102517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T09:24:21.047027Z digest=sha256:8f43506b6c95cb52134a2b050c7892175ad6202a020c80b4125f25765c8ee266

Observation da137aad-8c5a-43e7-9589-9098afd21528 · inbound

Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs cites this paper.

Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:24:31.607206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T09:24:21.047027Z digest=sha256:1c079c8854093c149fea1d42b598beeb2a9a7e23212c77b0f12a95e591cbd0e0