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Paper Citation Record · LEDGER

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.00282.

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

pith.paper-citation-record.v1
2404.00282 v3

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 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:34:41.684020Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88ebe1b2-d585-4f0d-809e-c36e72a73cc9 · inbound

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models cites this paper.

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T19:34:41.684020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:34:41.684020Z digest=sha256:0590b077291ae7e0ceaf6a0d3df1af4c2af969d07ab35dd82087d75d182a3298

Observation e361eef6-ebf3-4e4b-b2f3-f2944eba3770 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T22:41:15.474746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:15.474746Z digest=sha256:7139df4e88afd822436c322133e0be3fc4ec9202aa23d436f5ced3c28ee893a2

Observation eec41eab-0b86-46b4-aa50-846879e5c782 · inbound

Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning cites this paper.

Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T13:48:31.100192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:48:31.100192Z digest=sha256:3717d2edd94e0bd1bfa2f01ca8f187975fa0811a2cb26e95b2f02869e9811e9c

Observation fe683cb7-9a2a-4882-8a66-49e4a15e6b1d · 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 Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:59.577571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:59.577571Z digest=sha256:154129e20810c80fa872687122c105ab245c084655bdf596cfa190457c254631

Observation 3942b9c3-ad8e-4511-bde0-883b6885be11 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Reference 234

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:25:41.498673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T15:25:40.412842Z digest=sha256:d95e3b05442869e06de3c138fdd0aedc6e9355efdd5160bad7c1bb3491a2db9d

Observation 5efe497d-234b-4978-974f-57322550dfbb · inbound

A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing cites this paper.

A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T14:00:57.423613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:00:57.423613Z digest=sha256:c35a9780fd09fad9aba6f884e037c8da69d4a2ba8a8e490786f3da4efc85ef0d