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Paper Citation Record · LEDGER

An Efficient Solution to s-Rectangular Robust Markov Decision Processes

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.13642.

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

pith.paper-citation-record.v1
2301.13642 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:25.528158Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-07T14:37:25.528158Z digest=sha256:c77bee83abbd3eb76124357e0d91ab52e077e443ebf25d1488687ea2caffbf28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:49.284674Z digest=sha256:72cce09e3ca7c607a1f2e122c42021ebfac2077013e69e937859c0ca5b185678