Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.10215.
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 2026-08-12T00:30:33.385098Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T07:07:29.680215Z
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 d4c74a79-29fb-4370-ab5a-c4fc34d0cd57 · inbound
Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution cites this paper.
Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:07:29.682342Z
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 7cd305ff-1310-4359-90b9-744a94f37100 · inbound
A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning cites this paper.
A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:30:33.385098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.