Paper Citation Record · LEDGER

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2206.04436.

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

pith.paper-citation-record.v1
2206.04436 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:26.489266Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:23:51.471687Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 6ba8d291-d21f-4541-8de4-667a1bc26e33 · inbound

Exploratory Diffusion Model for Unsupervised Reinforcement Learning cites this paper.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T13:21:18.453588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 160760c4-cd6b-43a0-a832-e6cbb6830a0f · inbound

Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models cites this paper.

Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:05:26.489266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1199234-e6ab-4759-80d2-450d63731486 · inbound

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments cites this paper.

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T18:19:07.277742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc94ecf2-b14e-4606-9da9-7e38a8cbf109 · inbound

Safe-Support Q-Learning: Learning without Unsafe Exploration cites this paper.

Safe-Support Q-Learning: Learning without Unsafe Exploration Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:38.384687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c3b1850-98a9-4cf8-925e-9adbab47625c · inbound

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning cites this paper.

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:30.558232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5cbfbc4c-9f0e-48d4-85e7-a1569461087c · inbound

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning cites this paper.

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.087416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a71f6cd2-6674-455f-8347-ecfe90e2629e · inbound

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning cites this paper.

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:49:05.114084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05e9885e-4538-479d-b2e2-a0d16cc6e6ca · inbound

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints cites this paper.

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:39:03.494657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e17d63f0-0f87-4ffb-be31-d327e799068b · inbound

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance cites this paper.

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:51.473150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 22d283e7-d656-469e-95aa-2ca0173342cf · inbound

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning cites this paper.

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T12:15:44.291124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.