Paper Citation Record · LEDGER

A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.06323.

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

pith.paper-citation-record.v1
2403.06323 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:00:44.339758Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.972851Z

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 9c91a862-2c0c-4c93-b634-0fdaf4ed1ae8 · inbound

Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity cites this paper.

Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T05:00:44.339758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e6c319-674f-4f0f-b4ec-30535281caaf · 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 A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:50:51.124687Z

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 c868b12f-69dd-4d5e-ba20-8bebc07651a4 · inbound

Frictive Policy Optimization for LLMs: Epistemic Intervention, Risk-Sensitive Control, and Reflective Alignment cites this paper.

Frictive Policy Optimization for LLMs: Epistemic Intervention, Risk-Sensitive Control, and Reflective Alignment A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:17.191999Z

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 3165639d-6090-4286-af50-0c727135af8f · inbound

When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning? cites this paper.

When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning? A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:29:02.974873Z

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 66a5e51f-9fd9-411d-935c-731dc791db9b · inbound

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning cites this paper.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T02:23:27.955351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.