Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
First-order Policy Optimization for Robust Markov Decision Process
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2209.10579.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:15.771773Z
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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.
Observation 718eca6b-6355-4dcd-8927-5fdaaa3dab37 · inbound
Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions cites this paper.
Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions First-order Policy Optimization for Robust Markov Decision Process
Reference 142
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:39:15.771773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.