Paper Citation Record · LEDGER

Guiding Pretraining in Reinforcement Learning with Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.06692.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2302.06692 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:25:42.743839Z

measured 1 of 1 external citation measurements

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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

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.