Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prediction and Control in Continual Reinforcement Learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.11669.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:48:45.138386Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T05:19:45.480293Z
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 0775c7e4-c420-42d7-8620-b8121b3792d1 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Prediction and Control in Continual Reinforcement Learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:07:18.420571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b98e8927-c860-4cad-ba81-98f99b9e4443 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Prediction and Control in Continual Reinforcement Learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:19:45.484233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8a434cc0-649b-42c3-a3c7-bdb59eb28e90 · inbound
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Prediction and Control in Continual Reinforcement Learning
Reference 133
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:48:45.138386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.