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Paper Citation Record · LEDGER

Elementary Analysis of Policy Gradient Methods

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.03372.

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

pith.paper-citation-record.v1
2404.03372 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:56:22.453068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.210988Z

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 53de0872-a891-4fab-9ada-976fdf1488b8 · inbound

Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization cites this paper.

Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization Elementary Analysis of Policy Gradient Methods

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T04:56:22.453068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:56:22.453068Z digest=sha256:c9cd4f2a05242aaa54188f8fd617e1d2bcc0a3ad9865591d320a9dd83dae24b8

Observation 63fd8aad-413b-403f-9e3f-ae8aa635afec · inbound

Dissecting Discrete Soft Actor-Critic: Limitations and Principled Alternatives cites this paper.

Dissecting Discrete Soft Actor-Critic: Limitations and Principled Alternatives Elementary Analysis of Policy Gradient Methods

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:06:39.778309Z

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=2026-05-18T17:05:36.100114Z digest=sha256:42075bdf5ee8f7149e4dd89c075511bb6eb301b1a791d6d95dd45504c0ac8a66

Observation b09d0da5-99b1-4cb7-a56b-ed62587608c8 · 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 Elementary Analysis of Policy Gradient Methods

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:17:36.505694Z

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=sha256:5ba69ac92d0fe1b98b197c4b5f770f09106e4a49eff8f11a5758ee446f7ba481

Observation 78f1a5c5-0921-403e-ae92-c241984b705b · inbound

When Errors Can Be Beneficial: A Categorization of Imperfect Rewards for Policy Gradient cites this paper.

When Errors Can Be Beneficial: A Categorization of Imperfect Rewards for Policy Gradient Elementary Analysis of Policy Gradient Methods

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:41:19.581704Z

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=2026-05-07T16:24:43.688967Z digest=sha256:cac02912909132b46c70a429063e972593d5d3d7ab63faeb63091a9f550e47f3

Observation d2d089cb-e58d-4fa2-8d19-30d3af83bed7 · inbound

Convergence of Steepest Descent and Adam under Non-Uniform Smoothness cites this paper.

Convergence of Steepest Descent and Adam under Non-Uniform Smoothness Elementary Analysis of Policy Gradient Methods

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:15.212279Z

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=2026-06-29T08:19:12.076347Z digest=sha256:d46e4035a1e34dd0c049b40485db3a1bcfee3ed71f100c4abb89e809ca102a38

Observation 6193d972-ea4e-4cff-b657-5a0c79578cce · inbound

On the Policy Convergence of Policy Mirror Descent Methods cites this paper.

On the Policy Convergence of Policy Mirror Descent Methods Elementary Analysis of Policy Gradient Methods

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T04:17:12.534820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T04:17:12.534820Z digest=sha256:7f1fa493f01c226bebfcd4e7f4b996963f74269d20fe02bd34e9959d8146406c

Observation 030f074d-1a7c-4837-b5c5-ef81206316d4 · inbound

Finite-Time Analysis of the Natural Policy Gradient in Finite-Horizon Markov Decision Processes cites this paper.

Finite-Time Analysis of the Natural Policy Gradient in Finite-Horizon Markov Decision Processes Elementary Analysis of Policy Gradient Methods

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T04:04:00.536160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:04:00.536160Z digest=sha256:52d2bd03c9f13f0f6b8ee464f8c04d41b16bfa8931a96f81c727ed4d370cf294