Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.00324.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:05:56.312431Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:13:07.503964Z
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 8906dfd2-bd7c-46f0-b2af-6252886c686f · inbound
Solving Rubik's Cube Without Tricky Sampling cites this paper.
Solving Rubik's Cube Without Tricky Sampling Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:05:56.312431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1746d49-76d6-4ee2-92a9-d7b4f5e4eb4d · inbound
Ethical AI: Towards Defining a Collective Evaluation Framework cites this paper.
Ethical AI: Towards Defining a Collective Evaluation Framework Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:13:07.618676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e577babd-efd3-44ca-8611-5c4ee295d474 · inbound
Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark cites this paper.
Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:54:34.734018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.