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Paper Citation Record · LEDGER

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.09992.

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

pith.paper-citation-record.v1
2402.09992 v1

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:47.869956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:12:14.695233Z

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 546ee940-f2d6-42aa-a2a3-bb5c9fac7a52 · inbound

Risk-Averse Reinforcement Learning with Itakura-Saito Loss cites this paper.

Risk-Averse Reinforcement Learning with Itakura-Saito Loss Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:47.869956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:47.869956Z digest=sha256:4a65438602f2e16254b321b2abe50782105be9a74dba066aa00aa26005191fc4

Observation aac2e92b-3679-4d36-8086-45ee98eb8f0f · inbound

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty cites this paper.

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:12:14.698898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T09:09:51.531488Z digest=sha256:11ffe77971b93542c5bc0bf5a2bfafbc4905065c775fbcb59d431ac27b46aadf

Observation 25be73d3-0a7c-486e-8318-8bd1ebf69cb2 · inbound

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization cites this paper.

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:27.163902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:27.163902Z digest=sha256:1cb5129233b2c09feebb70696dac21191ba0260a2349a9bc4cdcfaf2bbb8bb9c

Observation 132c1a5e-8048-47ff-aacd-99250d813d5d · inbound

Reinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPs cites this paper.

Reinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPs Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:50:57.375165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T02:11:22.846629Z digest=sha256:81e46ab4a10f376627d16c311602a68db8b7f8c1a055d3591c1e2c691848072f

Observation 36fe0165-550a-41c8-81ac-aad91c7bce32 · inbound

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning cites this paper.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T18:22:18.835736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:22:18.835736Z digest=sha256:38494d1cbddbfc18ef4b0d3de959ceeaacd932a8c7b6509de5b1afb71c63035a