Paper Citation Record · LEDGER

Reinforcement Learning Enhanced LLMs: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2412.10400.

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

pith.paper-citation-record.v1
2412.10400 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:25:49.495121Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.174737Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 03a804e4-8548-4dcf-a4d6-4073a43b8907 · inbound

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures cites this paper.

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures Reinforcement Learning Enhanced LLMs: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:49.495121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b203e7a-088c-4dbc-b3f4-92ca1cebad40 · inbound

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers cites this paper.

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers Reinforcement Learning Enhanced LLMs: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:12.936464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c35b06-33bc-4769-a41d-ee2412b33a4e · inbound

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:39.153862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f198b2-d25f-4a79-afe5-066bbddecdb4 · inbound

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance cites this paper.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Reinforcement Learning Enhanced LLMs: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.611764Z

Source-reported events for the cited work

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Observation 271c3ef1-143a-4feb-a781-27cf896f307c · inbound

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models cites this paper.

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:40.631750Z

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Unavailable: canonical work link unavailable.

Observation 92ac68ef-15bb-45df-83c8-f1635466a8a7 · inbound

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities cites this paper.

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities Reinforcement Learning Enhanced LLMs: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:45.293601Z

Source-reported events for the cited work

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Observation 8d61cdcc-f5b3-4f50-ac9f-63d1b5addaf0 · inbound

A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.

A Technical Survey of Reinforcement Learning Techniques for Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:35.032860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ac75bcc-2484-4701-8ee5-7d2205ab938f · inbound

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization cites this paper.

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization Reinforcement Learning Enhanced LLMs: A Survey

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:56.908088Z

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Unavailable: canonical work link unavailable.

Observation 8454d102-a1f9-4778-ac7f-ca29f592db15 · inbound

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning cites this paper.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Reinforcement Learning Enhanced LLMs: A Survey

Reference 28

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Unavailable: canonical work link unavailable.

Observation d8a03833-3369-49cf-b682-b4d1928c1d0b · inbound

CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning cites this paper.

CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning Reinforcement Learning Enhanced LLMs: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:03.669635Z

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Observation c802a854-f512-4e56-88f1-ed39a82c88db · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Reinforcement Learning Enhanced LLMs: A Survey

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.875324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4337c025-72a6-4375-9146-b13ac84b2cc5 · inbound

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models cites this paper.

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:13.811953Z

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Observation 962487d1-4a09-403b-9316-9085a2f737fb · 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 Reinforcement Learning Enhanced LLMs: A Survey

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T20:49:37.841831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924608cf-7715-43ae-b943-b3fbfcb71f8a · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Reinforcement Learning Enhanced LLMs: A Survey

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:42.090072Z

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Unavailable: canonical work link unavailable.

Observation 1872373b-1b53-42ae-a144-2f468c9ec62b · inbound

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning cites this paper.

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning Reinforcement Learning Enhanced LLMs: A Survey

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:41.576325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bce1f1bb-2c66-4943-afcb-3754b3fa4315 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:29.688214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97ae5a59-580d-44ff-afe6-7d7aa208166d · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:16.839688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48e78007-5e78-49b1-a1c7-4e38121d42b0 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:02:40.669713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 331828b8-536a-4a04-a4b7-0e41a4240678 · inbound

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning cites this paper.

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning Reinforcement Learning Enhanced LLMs: A Survey

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:48.880543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da193571-0479-4764-91d0-ae53fc401e22 · inbound

On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective cites this paper.

On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective Reinforcement Learning Enhanced LLMs: A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:26.836626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bcf3352b-0cc0-411e-83c8-bc518ee2c6d2 · inbound

Distributed Direct Preference Optimization cites this paper.

Distributed Direct Preference Optimization Reinforcement Learning Enhanced LLMs: A Survey

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:59:40.940560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51c7f75c-ae03-49f3-b4df-8b02fbed5ada · inbound

Generating Natural and Expressive Robot Gestures through Iterative Reinforcement Learning with Human Feedback using LLMs cites this paper.

Generating Natural and Expressive Robot Gestures through Iterative Reinforcement Learning with Human Feedback using LLMs Reinforcement Learning Enhanced LLMs: A Survey

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.399088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a585e21d-8c8a-485a-9f16-1ca05051fd09 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Reinforcement Learning Enhanced LLMs: A Survey

Reference 218

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.176238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.