Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking the Foundations for Continual Reinforcement Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.08161.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:43:19.695446Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f01260ad-e014-4c90-834b-a3fc64f065f6 · inbound
Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments cites this paper.
Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments Rethinking the Foundations for Continual Reinforcement Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:43:19.695446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ccfd4e5-7aed-4a7b-af9d-b6632ea15f44 · inbound
Agent-centric learning: from external reward maximization to internal knowledge curation cites this paper.
Agent-centric learning: from external reward maximization to internal knowledge curation Rethinking the Foundations for Continual Reinforcement Learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:58:03.757284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d27720aa-b7d4-4037-9cc6-28a8f3a874c5 · inbound
Language Movement Primitives: Grounding Language Models in Robot Motion cites this paper.
Language Movement Primitives: Grounding Language Models in Robot Motion Rethinking the Foundations for Continual Reinforcement Learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:17:27.240017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e477d55-9242-411e-9811-6405ccfb1abe · inbound
Revisiting Adam for Streaming Reinforcement Learning cites this paper.
Revisiting Adam for Streaming Reinforcement Learning Rethinking the Foundations for Continual Reinforcement Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:15:51.971698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5d2a8c84-6b9e-4cc2-b2b3-c9a62a1939fb · inbound
Darwin Mobile Agent: A Roadmap for Self-Evolution cites this paper.
Darwin Mobile Agent: A Roadmap for Self-Evolution Rethinking the Foundations for Continual Reinforcement Learning
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T16:53:41.353461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.