Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.15194.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:30:33.364295Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T00:30:34.056170Z
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 5a27e970-5d3e-4055-9152-3c70a91bb31d · inbound
The Mechanism Matters: When Knowledge Graphs Help Reinforcement Learning cites this paper.
The Mechanism Matters: When Knowledge Graphs Help Reinforcement Learning Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:18:45.408244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e5647f9-ed4c-4576-a22c-724cd380c882 · inbound
A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning cites this paper.
A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
Reference 2016
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T00:30:34.061337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.