Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.02576.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:43:02.774690Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:19:53.560639Z
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 31a53479-bd7f-4433-9596-05097faefc12 · inbound
Continual Task Learning through Adaptive Policy Self-Composition cites this paper.
Continual Task Learning through Adaptive Policy Self-Composition t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:43:02.774690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1de6fd7-0108-479b-b234-1a631961ab14 · inbound
World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays cites this paper.
World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T14:19:53.563520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.