Paper Citation Record · LEDGER

Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.13373.

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

pith.paper-citation-record.v1
2311.13373 v6

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:00.049554Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T15:34:48.385189Z

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 dcc67497-61f2-4cda-bb79-433cc4f087b4 · inbound

Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One cites this paper.

Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:00.049554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d5c5761-013b-439b-8053-a89b1157fb5b · inbound

Adaptive Graph Pruning for Multi-Agent Communication cites this paper.

Adaptive Graph Pruning for Multi-Agent Communication Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.991142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 328e2211-4bb1-46a9-81e1-360362a1d399 · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T20:49:37.871050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d79072f-fde0-4884-bf6a-a5115394394e · inbound

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning cites this paper.

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:10:45.591012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d97c92c8-23ea-48e7-886e-eb0719a2c374 · inbound

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains cites this paper.

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:38:19.074837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b19795d-25be-4734-abfd-b363cd9aa9aa · inbound

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models cites this paper.

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.386630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.