Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
REvolve: Reward Evolution with Large Language Models using Human Feedback
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.01309.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:15:37.686427Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:50:57.904902Z
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 32bbd080-5f8a-4eb2-9594-d8ed12c7c23e · inbound
Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings cites this paper.
Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings REvolve: Reward Evolution with Large Language Models using Human Feedback
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:15:37.686427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 100eb8c9-fa60-476b-ba4a-94b9a55be990 · inbound
Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning cites this paper.
Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning REvolve: Reward Evolution with Large Language Models using Human Feedback
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:35.168345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 89435e50-2fd0-4c7d-b35e-8d808c65bd3a · inbound
Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning cites this paper.
Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning REvolve: Reward Evolution with Large Language Models using Human Feedback
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:50:57.911903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.