Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Augmenting Replay in World Models for Continual Reinforcement Learning
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.16650.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T11:54:31.481091Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T11:24:08.758688Z
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 46d9c5ca-2c5f-4edd-b35e-0a7740a4b7d1 · inbound
ARROW: Augmented Replay for RObust World models cites this paper.
ARROW: Augmented Replay for RObust World models Augmenting Replay in World Models for Continual Reinforcement Learning
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:24:08.760245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 857f95b6-f7e7-4dfb-b9cb-d2f64a1ac1dc · inbound
The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL cites this paper.
The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL Augmenting Replay in World Models for Continual Reinforcement Learning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:54:31.481091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2f8e3c8-51dd-466e-95f1-84e99c7b89e0 · inbound
Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning cites this paper.
Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning Augmenting Replay in World Models for Continual Reinforcement Learning
Reference 173
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T00:47:51.586648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.