Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Efficient Solution to s-Rectangular Robust Markov Decision Processes
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.13642.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:55.273305Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:26:53.640499Z
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 a70223d0-d33b-4d53-ab1a-7619e15e51a2 · inbound
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis cites this paper.
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis An Efficient Solution to s-Rectangular Robust Markov Decision Processes
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:55.273305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07f3a0a6-574b-49fa-bbe2-de62f90969cc · inbound
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning cites this paper.
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning An Efficient Solution to s-Rectangular Robust Markov Decision Processes
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:25.528158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2196972d-d2b4-4108-97d5-1b9403556f1d · inbound
Distributionally Robust Deep Q-Learning cites this paper.
Distributionally Robust Deep Q-Learning An Efficient Solution to s-Rectangular Robust Markov Decision Processes
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:26:53.737945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.