Pith. sign in

Paper Citation Record · LEDGER

Distributional Robustness and Regularization in Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2003.02894.

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

pith.paper-citation-record.v1
2003.02894 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:15.637632Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:57:56.240528Z

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 85f75c8c-63bc-4c34-b9ec-0bd7e2bdbcf3 · 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 Distributional Robustness and Regularization in Reinforcement Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:12:14.710746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T09:09:51.531488Z digest=sha256:76f9280a4409bd71db0d6542e7fa960a950ddb81cf4d995a431c3b12de901d80

Observation 919c6647-3049-4180-b935-9c4d6966324a · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting Distributional Robustness and Regularization in Reinforcement Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:37:24.433302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T05:33:42.965249Z digest=sha256:3615b5929c5e932aca3c044965444cd5fa0b570b83d5eb488d5663c9ea81efb9

Observation 24e13565-6d03-4ccc-97e2-e510605aff4e · inbound

When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited cites this paper.

When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited Distributional Robustness and Regularization in Reinforcement Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:37:45.201601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T20:37:36.030165Z digest=sha256:301e173bebac1ac06cb22f512b59d201d4be12bb609614b078c649e95fea8fa3

Observation 5df27fb6-df88-4fd2-8b60-d494ac7029ff · inbound

Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization cites this paper.

Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization Distributional Robustness and Regularization in Reinforcement Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:57:56.242039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T10:17:01.777614Z digest=sha256:35ef8c775e1d78c299a571a3525a8c345fd32bd98949fcbfe2eef391bb85c360

Observation 88f1c433-0416-48a4-bdf1-f5f8f2a8cef7 · inbound

Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions cites this paper.

Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions Distributional Robustness and Regularization in Reinforcement Learning

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:15.637632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:15.637632Z digest=sha256:432603f45e574b1ffdaa0ba952b1f7daec2444176cf91cef2f7f57035d1e3e31