Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.14660.
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 2026-08-16T11:24:11.979641Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T18:04:54.988044Z
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 98d21493-d420-40fa-8fe8-5fc8504dadd3 · inbound
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness cites this paper.
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T18:04:54.996891Z
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.
Observation 382710c0-f2f4-448e-ae0f-bbe7b49ba0dd · inbound
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:24:11.979641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d94f594-0ac8-4c2a-aff3-c1d81d109122 · inbound
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination cites this paper.
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:58:10.047295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed849146-9d4a-4fb2-9ae2-8ed25d91f3eb · inbound
Multi-agent Embodied AI: Advances and Future Directions cites this paper.
Multi-agent Embodied AI: Advances and Future Directions A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
Reference 174
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:16:15.861536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6d2f380-04e8-4134-b4b2-84c078c371a5 · inbound
Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning cites this paper.
Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:06:58.678063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.