Paper Citation Record · LEDGER

First-order Policy Optimization for Robust Markov Decision Process

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2209.10579.

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

pith.paper-citation-record.v1
2209.10579 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:54:11.213481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:33:18.772880Z

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 ad6ae68f-dc42-47b6-84b5-6ddabd41e6d9 · inbound

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form cites this paper.

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form First-order Policy Optimization for Robust Markov Decision Process

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:03:30.920726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b2800b2-64ec-4e46-b8c4-4e056478a7aa · inbound

Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning cites this paper.

Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning First-order Policy Optimization for Robust Markov Decision Process

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:11.213481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e14e7c-de26-479c-bdd9-1439190d22ba · inbound

Sample Complexity for Markov Decision Processes and Stochastic Optimal Control with Static Risk Measures cites this paper.

Sample Complexity for Markov Decision Processes and Stochastic Optimal Control with Static Risk Measures First-order Policy Optimization for Robust Markov Decision Process

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:50:51.101008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca97eebf-6bc5-4ee6-9fb9-206d4d7de8ec · inbound

Value Mirror Descent for Reinforcement Learning cites this paper.

Value Mirror Descent for Reinforcement Learning First-order Policy Optimization for Robust Markov Decision Process

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:49.576825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f144f27-1a45-4766-a00a-be694147343a · inbound

Revisiting Subgradient Dominance in Robust MDPs: Counterexamples, Hardness, and Sufficient Conditions cites this paper.

Revisiting Subgradient Dominance in Robust MDPs: Counterexamples, Hardness, and Sufficient Conditions First-order Policy Optimization for Robust Markov Decision Process

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:05.312687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 748102b9-a20c-4ab4-8810-057dbc871299 · inbound

Natural Policy Gradient as Doubly Smoothed Policy Iteration: A Bellman-Operator Framework cites this paper.

Natural Policy Gradient as Doubly Smoothed Policy Iteration: A Bellman-Operator Framework First-order Policy Optimization for Robust Markov Decision Process

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:29.369993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6747c55-653f-44c3-8ec3-2862ce2e3095 · inbound

Robust Markov Decision Processes on Continuous State Spaces cites this paper.

Robust Markov Decision Processes on Continuous State Spaces First-order Policy Optimization for Robust Markov Decision Process

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:33:18.774758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e666d68-b161-47fe-8196-cd229dfebfd1 · inbound

Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov Framework cites this paper.

Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov Framework First-order Policy Optimization for Robust Markov Decision Process

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:46.683876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.