Pith. sign in

Paper Citation Record · LEDGER

Global Optimality Guarantees For Policy Gradient Methods

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.01786.

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

pith.paper-citation-record.v1
1906.01786 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:28:45.850097Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-06T16:28:45.850097Z digest=sha256:b7a2095811600789afd4eebdf55ce4463be4fa099dbdce6a205f1e80de18a57b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T10:50:40.841967Z digest=sha256:89c303df28782f2a3e62ed8d96a3804baada7e3432e4d5c515749ff92292a697