Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 100 of 263 outbound references and 11 inbound Pith citation observations for arXiv:2509.16679.

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

pith.paper-citation-record.v1
2509.16679 v1

Coverage vector

measured 100 of 263 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:07:33.995648Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:14:04.060992Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 263 outbound references displayed

verified exact0
verified fuzzy0
unresolved100
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 75da94fe-2a7c-4b6d-8726-f40e5b02ced5 · outbound

This paper cites NeMo RL: A Scalable and Efficient Post-Training Library.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle NeMo RL: A Scalable and Efficient Post-Training Library

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.677675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b0aae59-024d-4ad4-bded-1c6c3f5b4e68 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.711633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc88b0d3-dfa3-46bd-8d37-5731a868c0b8 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.751920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae598da4-298a-45ac-841d-6fc736736556 · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle A General Language Assistant as a Laboratory for Alignment

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.793366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a51287-89e9-49b0-8d36-c8fa5e843dfa · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.831930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3e214e-4027-44e3-ad3e-539f0a8410da · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.872089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bdfe05-bfcc-4e36-90e5-fe91b5390176 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Constitutional AI: Harmlessness from AI Feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.917251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c084d6-33c5-44d8-81c1-3e1257b7ef9d · outbound

This paper cites Thinking Machines: A Survey of LLM based Reasoning Strategies.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Thinking Machines: A Survey of LLM based Reasoning Strategies

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.952573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7f2e04-4a7c-4d6a-8a75-32e8e1cf9336 · outbound

This paper cites Do, Yan Xu, and Pascale Fung.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Do, Yan Xu, and Pascale Fung

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:27.987505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd246f83-02c2-4b8d-b500-eaf06e80367f · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.031833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82380ff-a5ea-4668-81f8-f646c6492e78 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.068731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1916877-41dd-489e-98f8-b63f121d0c27 · outbound

This paper cites Reasoning Language Models: A Blueprint.

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

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.107428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9561ea-e3fb-4436-a269-e5d4cf91808e · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.145291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d8175f-0578-4fcc-a3dd-97a8dab4cdfe · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle On the Opportunities and Risks of Foundation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.187255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f9b39a-d183-48f0-97f9-8ea6c5e4c965 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.221722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07a5c395-e85b-47e6-8944-e6f28aab8d59 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.259721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f11dde3-5b1c-4a67-a18c-3dace7c545f6 · outbound

This paper cites MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.295561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a5b613-97f8-40e5-bd7e-3f5e9678c71d · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.332269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe009cb9-2b50-4598-83d3-acbabef4f6b3 · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.361696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8b56924-bdac-44a4-8057-504c782c8133 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.398802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5722edcc-a5bd-4e16-9781-3eceeb8c3177 · outbound

This paper cites Detecting and Evaluating Medical Hallucinations in Large Vision Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Detecting and Evaluating Medical Hallucinations in Large Vision Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.414469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7273204-5657-4801-966e-990054462abe · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.452193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c08c5d-0f4e-4c78-a89e-f2ee7125aaf4 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.487822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 204d6904-3f0c-4a47-b150-6d88ee4dda7f · outbound

This paper cites Compile Scene Graphs with Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Compile Scene Graphs with Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.527593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0336c218-8eeb-441a-85a1-478bcc30418e · outbound

This paper cites Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.561884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e3e9ae-e1a9-492a-8e82-60b49c83205e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Training Verifiers to Solve Math Word Problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.596194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a572717-c055-49e3-927a-3930807cca81 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.635398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6506b4ce-8fa9-4950-8f8a-c64a4fefe82d · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.674483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994cb6c9-e3dc-4725-8a93-657b246f0fd7 · outbound

This paper cites Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.711477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39a617e-8a38-456c-a1b9-3b25bf595665 · outbound

This paper cites Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.753936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481bd3f4-b9cc-419d-be04-f5ae99ef2ace · outbound

This paper cites Reinforcement Pre-Training.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Reinforcement Pre-Training

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.792504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8be9316-60c5-4dd4-8320-403e4905d74c · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.829289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303355bc-dd3c-43de-b77b-526cd55a09f5 · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.872411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf3cca11-4862-4e85-a765-c753ea3879df · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.907544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1db69603-4fa2-49dd-86c8-5e16e100152c · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.916051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b052fbbe-70e8-48c3-a101-990c49522374 · outbound

This paper cites Thinkless: LLM Learns When to Think.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Thinkless: LLM Learns When to Think

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.955737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e14da2-97a7-4a3f-b6da-1696f3588219 · outbound

This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:28.991482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c001a136-ba18-4657-9af6-862cfa25bf17 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.027428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b4b132-0618-47eb-a124-a9f0de000942 · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Group-in-Group Policy Optimization for LLM Agent Training

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.094583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d89261b-1454-43a4-a0b5-9ea6d18d6b1d · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.131748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d2f39a-8b98-457d-9cc5-1bf124dc3f08 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.163549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d6583d-a411-4896-ac62-6ef44ab2e356 · outbound

This paper cites AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.199481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a302257-1715-428a-ad23-c15f21868d2b · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.231088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74598496-fe99-4539-bf71-53871d05cb86 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.276202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3770ca00-2666-4ab3-8baf-d1275f82cd24 · outbound

This paper cites Visual Pre-Training on Unlabeled Images using Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Visual Pre-Training on Unlabeled Images using Reinforcement Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.332714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb84988-09be-4dc8-9337-a1b723f9e5a5 · outbound

This paper cites Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.383625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d72453d-d5e8-45fc-a2a1-35a9ac617340 · outbound

This paper cites CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.460017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319648f6-4b28-432e-a38d-9b768458a376 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.511684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3900aa1-9feb-460d-9ceb-9b19a2dc5c8d · outbound

This paper cites Reward Reasoning Model.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Reward Reasoning Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.589806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9aff45a-0e39-4acf-9076-ba84fa7fa73c · outbound

This paper cites Synthetic Data RL: Task Definition Is All You Need.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Synthetic Data RL: Task Definition Is All You Need

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.655928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb229a9-44a0-47da-acb9-7bc50e4de767 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.717653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd906e2e-ba42-45cf-b81b-8cf72f147eca · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.775830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9442083a-9dd8-4aa2-9f9f-c10435c2f283 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.891730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e83bd1-7106-43b0-9502-5f17c29e3246 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.022962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cff38d40-0384-4dfd-b50f-4b7a1be48da5 · outbound

This paper cites Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.092931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 192b405b-a9bc-482a-98b8-9088abfc0528 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.153042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e89d2e0-c61a-481a-acad-d83d5fdb580e · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.213135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe72ef61-5397-4f90-b97a-143a3c5125c4 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.275148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fda0c8-0b55-468b-9458-326729616f46 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.345279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51a23c9c-8d3c-461a-beaa-16414fcc4226 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.515852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31792538-d656-4233-b016-9db69d3c341a · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.575799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ae4d2d-d592-4a4c-ab4d-5ea56b6be92b · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.691620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee7e32b-36b7-4bf1-9db7-2c0e8e53d450 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.755317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb8a73f-287e-4ea6-a7d3-064619ab26af · outbound

This paper cites SLOT: Sample-specific Language Model Optimization at Test-time.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle SLOT: Sample-specific Language Model Optimization at Test-time

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.821966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe90b436-1748-42c1-a9ec-edf95282059b · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.883862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3966b4c6-aee4-4b0f-a038-e38f848f33ca · outbound

This paper cites Boosting MLLM Reasoning with Text-Debiased Hint-GRPO.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Boosting MLLM Reasoning with Text-Debiased Hint-GRPO

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:30.943890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460d4a8a-d80b-43fe-bcf5-c16251f52e35 · outbound

This paper cites 3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle 3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.073651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423caa36-317e-440e-bc6b-5f65775b5463 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.183592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5285291a-8157-4889-a271-cdd9944ca92b · outbound

This paper cites GPT-4o System Card.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle GPT-4o System Card

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.253966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc91860a-5043-4c37-a387-c2d39244a6e2 · outbound

This paper cites OpenAI o1 System Card.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle OpenAI o1 System Card

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.317615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04086387-639e-4a0b-b1bf-1820ffbbd2a5 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.387671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f62552a-42ae-461a-a31e-025c52a5da8e · outbound

This paper cites A Survey on Progress in LLM Alignment from the Perspective of Reward Design.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle A Survey on Progress in LLM Alignment from the Perspective of Reward Design

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.458650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2497ffc9-72aa-4900-8f5f-06a21319f463 · outbound

This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.520711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a487ad-e7a2-4edf-88fa-750f4e1bae50 · outbound

This paper cites Think Only When You Need with Large Hybrid-Reasoning Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Think Only When You Need with Large Hybrid-Reasoning Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.525481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c595a2f4-a866-47f8-9ec6-70a2fc92d731 · outbound

This paper cites A Survey on Human Preference Learning for Large Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle A Survey on Human Preference Learning for Large Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.560030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff833ea8-a32c-4dd3-9eb5-cbd452a1d7f4 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.622495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d877f3d-03f5-4ab8-b772-c70b75a319ca · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.682882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02979552-fac8-4515-b377-b34adf2a43c8 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.731791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff89a9f-4a92-4457-9983-5683a446d207 · outbound

This paper cites BIG-Bench Extra Hard.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle BIG-Bench Extra Hard

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.880939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fca4bac-f0e6-4cbd-8166-6baed38a03e1 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.003360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06574205-1244-4c8b-b693-d2455cf9930e · outbound

This paper cites Alignment of Language Agents.

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

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.253183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a69d7b46-fc1f-49b9-8fc5-fe3c25a26548 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.342978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8251bc-4df4-40ef-98e5-96a26da71e88 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.117928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7cbecd9-fc24-49bb-99c5-b6f5dd58c1ed · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.558509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1255068-badb-4245-80ee-4c78eba503a5 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.684144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 648ae64a-db90-4202-b7ff-5b8212cf3953 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.450828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7a65e5-8847-4f1d-9a0e-78372b7d687d · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.864814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e29578-dfb1-4258-aeb6-5a4d37540d91 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.939767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08dbc974-e252-4e5d-ad6b-9a2077e914ce · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.796991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe83f2a-4ba7-47b6-aaac-e62ec57aaf9d · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.051469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0e690e-1d98-4c45-b51b-c1a304d95dfb · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.128629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8cfb525-bb79-4e86-b03a-f8abf63d5b85 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:32.978372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a6185a-fc02-4d71-8a46-355ab7680a42 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.334341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac6d0e7b-4034-494d-b8cf-bf0226db0283 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle ToRL: Scaling Tool-Integrated RL

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.433285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0657594b-20a4-42e4-84e5-f1d2760997d2 · outbound

This paper cites Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.243783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb9acb6-6d08-4dee-9e45-d2c4442bcc98 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.621256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5a63db-4682-4902-abd3-5b5346672270 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.701387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1922a0-0415-4eae-b74f-083630c02ee7 · outbound

This paper cites Generalist Reward Models: Found Inside Large Language Models.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Generalist Reward Models: Found Inside Large Language Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.529325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6776643c-97a0-4199-9eb2-0fd15a3547b6 · outbound

This paper cites SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.895807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7ed2cc-0db1-417c-8b68-aae1f1a6ccf7 · outbound

This paper cites Improved Visual-Spatial Reasoning via R1-Zero-Like Training.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Improved Visual-Spatial Reasoning via R1-Zero-Like Training

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:33.995648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 39461bab-9f44-4b56-9a4f-484a762757cb · inbound

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI cites this paper.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:13.986090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e13ce9d-1ac6-4f46-ba5e-ece760393791 · inbound

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models cites this paper.

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T20:14:04.060992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f5b7743-6b98-41d1-b985-12754fba7734 · inbound

StaRPO: Stability-Augmented Reinforcement Policy Optimization cites this paper.

StaRPO: Stability-Augmented Reinforcement Policy Optimization Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:20:59.998819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation abc577b2-6a79-417c-8b8f-d5ddc2dc6734 · inbound

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces cites this paper.

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:37.954804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a6c27ff-3c2d-4266-a81b-35f03d40a2b4 · inbound

Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning cites this paper.

Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:11:17.717331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ef49bc2-7813-4ba6-8c46-9dddd3f78362 · inbound

TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM Reasoning cites this paper.

TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM Reasoning Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:23:23.797662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb33b206-c858-4eb3-88ed-e13ab3645cda · inbound

Shattering the Autoregressive Curse: Dynamic Epistemic Entropy Orchestrated Erasable Reinforcement Learning for LLMs cites this paper.

Shattering the Autoregressive Curse: Dynamic Epistemic Entropy Orchestrated Erasable Reinforcement Learning for LLMs Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:08:58.849123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 541498bc-8b4c-49a6-8fac-e794c3e3ff6b · inbound

ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection cites this paper.

ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:49:18.220604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bda8178b-d2b3-48f7-adc5-2f88c545bbff · inbound

Beyond Entropy: Learning from Token-Level Distributional Deviations for LLM Reasoning cites this paper.

Beyond Entropy: Learning from Token-Level Distributional Deviations for LLM Reasoning Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:49:30.086889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a2061e6-be90-4961-b661-0e466d79821e · inbound

Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning cites this paper.

Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-10T05:16:48.097060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 725f57e9-41a6-4f37-b26a-26ef05d0775f · inbound

Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation cites this paper.

Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T15:30:23.485228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.