Paper Citation Record · LEDGER

LIMR: Less is More for RL Scaling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2502.11886.

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

pith.paper-citation-record.v1
2502.11886 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 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 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:32.385679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.759210Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 e60bd50d-4186-4064-8860-005c7aed1ee1 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models LIMR: Less is More for RL Scaling

Reference 276

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.483767Z

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 8653614e-8e49-4678-92cc-08bf6d9a94ad · inbound

ToolRL: Reward is All Tool Learning Needs cites this paper.

ToolRL: Reward is All Tool Learning Needs LIMR: Less is More for RL Scaling

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T00:26:48.445619Z

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 9418ddc7-8284-4590-81cc-d8bc205438cb · inbound

The Hallucination Tax of Reinforcement Finetuning cites this paper.

The Hallucination Tax of Reinforcement Finetuning LIMR: Less is More for RL Scaling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:44:32.385679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0dcaede-b418-4ca1-974f-bb7ca676e1a3 · inbound

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

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning LIMR: Less is More for RL Scaling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:05.361350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9b73f4-d090-4ab2-93a1-d8eea78a0da2 · inbound

Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning cites this paper.

Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning LIMR: Less is More for RL Scaling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:41.222191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b3dd73-f9b7-4c0c-abc1-d33bcdacbf4e · inbound

Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning cites this paper.

Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning LIMR: Less is More for RL Scaling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:40.358276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3903c7a-4f40-4b10-bb8d-1917083a9ea1 · inbound

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning cites this paper.

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning LIMR: Less is More for RL Scaling

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:32.954737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba80164b-d1a3-4ad6-b274-f52d49fe5572 · inbound

HardTests: Synthesizing High-Quality Test Cases for LLM Coding cites this paper.

HardTests: Synthesizing High-Quality Test Cases for LLM Coding LIMR: Less is More for RL Scaling

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:56.430228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 622b3240-6a49-4b5d-ba52-4a2c48cb0687 · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs LIMR: Less is More for RL Scaling

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:25.160677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07818c08-b6e3-4a43-a672-edcb1c042834 · inbound

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis cites this paper.

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis LIMR: Less is More for RL Scaling

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:45.327280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c790190-4f4c-4b4f-a4a2-43d7f28d5c46 · inbound

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts cites this paper.

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts LIMR: Less is More for RL Scaling

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:54.876617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b8cbe4-6afc-4a59-89fe-b898730394fb · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? LIMR: Less is More for RL Scaling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:36.467346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b2ffa4-f2eb-4445-bf66-67a400742f9d · inbound

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

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning LIMR: Less is More for RL Scaling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:24.145061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 960841b0-a8eb-43b4-ae90-d6e7ef6b0273 · inbound

Test-Time Scaling with Reflective Generative Model cites this paper.

Test-Time Scaling with Reflective Generative Model LIMR: Less is More for RL Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.775814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd2e522-1f8c-4017-9ab6-ba400e554300 · inbound

PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization cites this paper.

PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization LIMR: Less is More for RL Scaling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:12.582797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b894d50c-c028-4d0c-9c0d-fb4703238dab · inbound

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization cites this paper.

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization LIMR: Less is More for RL Scaling

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:36.105216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd345c14-e1f0-4cdf-9d3b-80b3094c52e1 · inbound

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization cites this paper.

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization LIMR: Less is More for RL Scaling

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:31:53.188452Z

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 9b49024a-7409-4cfe-968d-bb5055889cf4 · inbound

FormaRL: Enhancing Autoformalization with no Labeled Data cites this paper.

FormaRL: Enhancing Autoformalization with no Labeled Data LIMR: Less is More for RL Scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.150929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d6496c-3f15-4a00-b1e7-a273af4f0373 · inbound

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning cites this paper.

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning LIMR: Less is More for RL Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:02.527244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dcc5459-bfb3-4a16-b94e-a0db283a9778 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models LIMR: Less is More for RL Scaling

Reference 289

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:24.776325Z

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 3560fc99-bac1-426f-a0dc-af3069e0e8f4 · inbound

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts cites this paper.

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts LIMR: Less is More for RL Scaling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:40:46.397811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeaa8e7a-bb26-4076-88c4-0d3f498b73b9 · inbound

ISExplore:Informative Segment Selection for Efficient Personalized 3D Talking Face Generation cites this paper.

ISExplore:Informative Segment Selection for Efficient Personalized 3D Talking Face Generation LIMR: Less is More for RL Scaling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:10:32.307963Z

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 79bc85bb-ab27-4304-95fe-6380e188238e · inbound

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models cites this paper.

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models LIMR: Less is More for RL Scaling

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:10:13.194777Z

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 b585bddf-8bd8-4bdc-bbcd-5039a2452c41 · inbound

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing cites this paper.

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing LIMR: Less is More for RL Scaling

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:27:36.744086Z

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 a9a9ae24-6dca-4b71-9d82-5ae649740511 · inbound

Can LLMs Learn to Reason Robustly under Noisy Supervision? cites this paper.

Can LLMs Learn to Reason Robustly under Noisy Supervision? LIMR: Less is More for RL Scaling

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.331952Z

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 9f9d1155-8352-4010-98af-7708be565f98 · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment LIMR: Less is More for RL Scaling

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.517501Z

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 11c49c28-d055-4fb3-83ec-ea8d36bce8ba · inbound

Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes cites this paper.

Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes LIMR: Less is More for RL Scaling

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:10:09.661693Z

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 1509c011-042e-4c26-97d2-6a9e59acfd0a · inbound

POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation cites this paper.

POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation LIMR: Less is More for RL Scaling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:15.529008Z

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 27709112-a375-4f60-bd93-a7fc88a51927 · inbound

Cost-Aware Learning cites this paper.

Cost-Aware Learning LIMR: Less is More for RL Scaling

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:36:30.935572Z

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 e3478c03-e531-46c3-bb5a-fdfe21ce7e40 · inbound

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning LIMR: Less is More for RL Scaling

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:16:54.879375Z

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 3f4abc9e-1b48-467f-8ca3-87fd222fcaf4 · inbound

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning LIMR: Less is More for RL Scaling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:14.089922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c068fe-f799-4ba1-a511-d6928464fd8e · inbound

Gradient Extrapolation-Based Policy Optimization cites this paper.

Gradient Extrapolation-Based Policy Optimization LIMR: Less is More for RL Scaling

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:56.798009Z

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 91d7a693-0bc5-4807-b903-a3f5c693b9df · inbound

DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards cites this paper.

DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards LIMR: Less is More for RL Scaling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:30.076748Z

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 d9a08857-37e8-4d7c-bba7-23faace8eda1 · inbound

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation cites this paper.

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation LIMR: Less is More for RL Scaling

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:16:19.290990Z

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 fed1f1c4-eb3c-429c-a80c-6f075a26b65a · inbound

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance cites this paper.

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance LIMR: Less is More for RL Scaling

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:19:43.101924Z

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 e06bc65f-d8c7-46c4-9278-272df101a202 · inbound

Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection cites this paper.

Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection LIMR: Less is More for RL Scaling

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:30.088668Z

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 e27e7df0-802f-4eea-a729-f5b9523d4823 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation LIMR: Less is More for RL Scaling

Reference 285

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:13.626999Z

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 83f0ada9-65b0-4860-b6ed-92bbdbe41d9c · inbound

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning cites this paper.

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning LIMR: Less is More for RL Scaling

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:36.760518Z

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 89a16f38-dd58-40f5-96c6-ac16c8f5eeeb · inbound

Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning cites this paper.

Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning LIMR: Less is More for RL Scaling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T06:14:27.040572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3843b153-84fa-4fee-90af-fe3a27f6222c · inbound

Early Verdicts, Better Budgets: Sequential Adaptive Rollout Allocation for Compute-Efficient RLVR cites this paper.

Early Verdicts, Better Budgets: Sequential Adaptive Rollout Allocation for Compute-Efficient RLVR LIMR: Less is More for RL Scaling

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T00:28:59.453562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd9d861c-ef6a-4fd8-b5e1-be805572c6a1 · inbound

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning cites this paper.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning LIMR: Less is More for RL Scaling

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-31T01:31:11.009307Z

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Unavailable: canonical work link unavailable.

Observation 7ac8c575-74f0-4695-83a4-4668ce82174b · inbound

A Constitution-Grid Instrument for Data-Efficient RL Alignment (C-Guard) cites this paper.

A Constitution-Grid Instrument for Data-Efficient RL Alignment (C-Guard) LIMR: Less is More for RL Scaling

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:16.546910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.