Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Guiding Pretraining in Reinforcement Learning with Large Language Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.06692.
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 2026-08-12T16:30:09.389018Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
39
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9e400080-fe70-4a51-ae39-f0ec403781d9 · inbound
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models cites this paper.
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models Guiding Pretraining in Reinforcement Learning with Large Language Models
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T08:57:22.340218Z
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 adf21c04-f06f-4385-af9c-9088f5632006 · inbound
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Guiding Pretraining in Reinforcement Learning with Large Language Models
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:12:31.448332Z
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 4feb75f3-11bc-49c7-a1f2-d01abc513c3e · inbound
Learning Interactive Real-World Simulators cites this paper.
Learning Interactive Real-World Simulators Guiding Pretraining in Reinforcement Learning with Large Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:15:18.575048Z
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 8a5396a2-821d-41da-9f83-8e1d8d724ee5 · inbound
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback cites this paper.
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback Guiding Pretraining in Reinforcement Learning with Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:30:09.389018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdd69a1e-bd83-40c9-b57b-7a437ad7ca49 · inbound
Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents cites this paper.
Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents Guiding Pretraining in Reinforcement Learning with Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:25:42.743839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69549246-4d4f-4c4b-9981-7ba6beb04456 · inbound
Application of LLMs to Multi-Robot Path Planning and Task Allocation cites this paper.
Application of LLMs to Multi-Robot Path Planning and Task Allocation Guiding Pretraining in Reinforcement Learning with Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:48:17.829460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0f210ad-47a6-452d-a68c-cb1f558b71f4 · inbound
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Guiding Pretraining in Reinforcement Learning with Large Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:45:29.172857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.