Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Differentiable Trust Region Layers for Deep Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.09207.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:28:38.116055Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:59:43.297294Z
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 f3804849-ec23-43d0-a701-e0234c9a40b2 · inbound
Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework cites this paper.
Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework Differentiable Trust Region Layers for Deep Reinforcement Learning
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:28:38.116055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4d5ce8c-2441-4c57-ac10-1e8ddc904bb4 · inbound
Ratio-Variance Regularized Policy Optimization cites this paper.
Ratio-Variance Regularized Policy Optimization Differentiable Trust Region Layers for Deep Reinforcement Learning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:53:55.990855Z
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.
Observation 02cad5d6-48f2-4a5b-90f2-c430c8be6b71 · inbound
Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching cites this paper.
Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching Differentiable Trust Region Layers for Deep Reinforcement Learning
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:59:43.299493Z
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.