Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.03379.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:35:45.074234Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:56:34.482592Z
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 f9041b35-fe36-4577-a0a7-77816c98da68 · inbound
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems cites this paper.
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:35:45.074234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdc72d82-9b5d-48c6-8330-aefb0765e129 · inbound
RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes cites this paper.
RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
Reference 94
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:01:04.868089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c4ac3ab4-8416-4ce7-887f-fcfad2b2d1bf · inbound
RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes cites this paper.
RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:45:48.257111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c8de6f1-10ec-417d-a70e-740d73c36887 · inbound
Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation cites this paper.
Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T03:56:34.484094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.