Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.06147.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:46:13.871359Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T22:25:55.190503Z
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 50fad3d9-dd08-41ab-9716-081d3e25488b · inbound
LLM-based event log analysis techniques: A survey cites this paper.
LLM-based event log analysis techniques: A survey Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:11:46.606183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11a57e96-697f-4df3-ae8d-443fd2431971 · inbound
MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing cites this paper.
MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:46:13.871359Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d13dc20-1472-4e14-a060-82129b761b5d · inbound
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens cites this paper.
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:15:17.982616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e39ad65-28e3-49fc-b048-0dc1e5c3c6c8 · inbound
MindFlow+: A Self-Evolving Agent for E-Commerce Customer Service cites this paper.
MindFlow+: A Self-Evolving Agent for E-Commerce Customer Service Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:13:26.957791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 071a2b51-ef8c-46b2-865c-af284779e92f · inbound
Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity cites this paper.
Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T22:25:55.198864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.