Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.00565.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:41.226166Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T07:27:32.304978Z
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 0ca118a8-845c-41a5-bdd6-ee37f45d5ee2 · inbound
A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.
A Survey of State Representation Learning for Deep Reinforcement Learning What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:41.226166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 677ee3c1-2c21-4d2b-8a80-08485dcc47f5 · inbound
Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels cites this paper.
Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:27:32.306858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c758149b-ff08-48dc-b002-d1beb5ace89a · inbound
A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning cites this paper.
A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:51:29.709227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.