Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2008.00614.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:20:28.487923Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:03:44.749882Z
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 9c38f693-fa4e-4413-8156-efedb6702e1e · inbound
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning cites this paper.
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:32:42.982760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0b9dadb-816e-4f06-b2c9-a637d530f9c6 · inbound
Generalization Capability for Imitation Learning cites this paper.
Generalization Capability for Imitation Learning Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:20:28.487923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6107c7b8-cf3a-47d1-bd0d-1a7008b88b16 · inbound
Maximum Total Correlation Reinforcement Learning cites this paper.
Maximum Total Correlation Reinforcement Learning Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:03:44.845068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.