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Paper Citation Record · LEDGER

On the Foundation of Distributionally Robust Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.09018.

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

pith.paper-citation-record.v1
2311.09018 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:57.347174Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:15:16.090502Z

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 cdf31e3a-7964-444c-bc40-77b90582c748 · inbound

Adaptive Estimation of the Transition Density of Controlled Markov Chains cites this paper.

Adaptive Estimation of the Transition Density of Controlled Markov Chains On the Foundation of Distributionally Robust Reinforcement Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:57.347174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:57.347174Z digest=sha256:3c63f139c77663abc1a75cc6fd084b919a3a2f8920221f54860112a4f9bbde04

Observation 3ccb9edc-595e-4760-bcf0-b88be9f14093 · inbound

Mitigating Goal Misgeneralization via Minimax Regret cites this paper.

Mitigating Goal Misgeneralization via Minimax Regret On the Foundation of Distributionally Robust Reinforcement Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T20:27:17.303633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:27:17.303633Z digest=sha256:7f02164a02fefaaa450ae5be49626205bcdbb98939d53cb6d984f177901f2340

Observation 5682792e-7a2b-417a-b869-2c21e11e54b4 · inbound

Statistical and Algorithmic Foundations of Reinforcement Learning cites this paper.

Statistical and Algorithmic Foundations of Reinforcement Learning On the Foundation of Distributionally Robust Reinforcement Learning

Reference 125

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:15:16.093893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:15:15.920454Z digest=sha256:9a802269d5561f11814419d9992d24a349fc8c858b7b2ab41591542f28b558ea