Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Global Optimality Guarantees For Policy Gradient Methods
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1906.01786.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:31.745985Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:49:42.705118Z
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 20459a90-169e-428f-8f2e-858c58f9415f · inbound
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence cites this paper.
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence Global Optimality Guarantees For Policy Gradient Methods
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:27:41.984462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51e97a6a-4784-4ae1-a00a-61754fd6ac25 · 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 Global Optimality Guarantees For Policy Gradient Methods
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:47:08.724414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e89928d0-be98-41fd-bd19-ef0392e64aaa · inbound
Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents cites this paper.
Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents Global Optimality Guarantees For Policy Gradient Methods
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:28:45.850097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05fc2478-8a1a-49cc-8652-54b738a9b238 · inbound
Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient cites this paper.
Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Global Optimality Guarantees For Policy Gradient Methods
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:41:31.745985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0935bf59-cf1b-4e87-94fa-078009b148f4 · inbound
Stationary Robust Mean-Field Games under Model Mismatches cites this paper.
Stationary Robust Mean-Field Games under Model Mismatches Global Optimality Guarantees For Policy Gradient Methods
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:49:42.706480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.