Paper Citation Record · LEDGER

Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1906.10306.

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

pith.paper-citation-record.v1
1906.10306 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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:27:42.130654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T02:29:25.160173Z

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 5305a79e-1dd9-4bdd-a258-3c531cf10641 · inbound

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence cites this paper.

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T10:27:42.130654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece489f0-733e-4085-8d4b-11e9f78920b1 · inbound

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs cites this paper.

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-14T04:47:08.728735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64d04a35-fb84-4010-b8a6-5d133077290e · inbound

Fast Convergence of Softmax Policy Mirror Ascent cites this paper.

Fast Convergence of Softmax Policy Mirror Ascent Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T18:14:33.898341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1cc9075-7b04-4ef7-8916-3276575b5799 · inbound

On the Sample Complexity of Differentially Private Policy Optimization cites this paper.

On the Sample Complexity of Differentially Private Policy Optimization Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:45:54.823214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e26dc60-2e16-4f69-bc8e-957516cb4382 · inbound

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

Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:29:25.164072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.