Paper Citation Record · LEDGER

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once

As of 16 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 5 inbound Pith citation observations for arXiv:2507.10541.

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

pith.paper-citation-record.v1
2507.10541 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:35:31.807793Z

measured 74 of 74 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:41:01.511851Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T14:26:20.339663Z

Reference resolution

69 of 69 outbound references displayed

verified exact1
verified fuzzy21
unresolved46
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45263c56-4939-4fd5-a35f-802585d0b16f · outbound

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

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:30.988070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4ed58e-988f-41b8-88fb-1d88bd327e52 · outbound

This paper cites AIMO Validation AIME Dataset.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once AIMO Validation AIME Dataset

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:34.128623Z

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.

Observation 2746420f-7962-4a4a-8836-444cd63e6cc4 · outbound

This paper cites Training language models to reason efficiently.arXiv preprint arXiv:2502.04463, 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Training language models to reason efficiently.arXiv preprint arXiv:2502.04463, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.201122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebfce389-c508-42f1-9643-13c3c3f797ea · outbound

This paper cites Llama-nemotron: Efficient reasoning models, 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Llama-nemotron: Efficient reasoning models, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.325011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7180110f-4272-4077-be7d-091de1f211b1 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.347313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c161d8cb-73d7-4eb3-ae87-d10ad418edba · outbound

This paper cites Batch prompting: Efficient inference with large language model apis.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Batch prompting: Efficient inference with large language model apis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:34.104687Z

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.

Observation a058e47c-cbf6-4ccb-aea2-2ad48f7d49e4 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.373974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f70281e-45cc-43cf-8302-8ba8372d1a95 · outbound

This paper cites Process Reinforcement through Implicit Rewards.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Process Reinforcement through Implicit Rewards

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.381615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d41e278d-97de-4f5e-9cb1-3cbaab6e17ac · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:34.077786Z

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.

Observation de32417e-e383-4e0a-b2b9-456d3a002b82 · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.408154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06093aef-6291-4c7e-aa5b-3a6027b33ad1 · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.417001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd95410d-82d2-4ac5-96a3-ae684348192f · outbound

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

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.423282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2cf8936-1197-459c-ae5c-e25a64c8a1d5 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Token-Budget-Aware LLM Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.430010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47fbd123-0066-482a-a30e-1246a88e7a83 · outbound

This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad- level bilingual multimodal scientific problems.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Olympiadbench: A challenging benchmark for promoting agi with olympiad- level bilingual multimodal scientific problems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:34.047658Z

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.

Observation 6b20a37a-2a46-42b7-bc35-26cacc39a33a · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Measuring mathematical problem solving with the math dataset

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:34.018469Z

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.

Observation ba63a264-19df-4168-a4f4-5a6159ecca68 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Measuring Mathematical Problem Solving With the MATH Dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.446614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10fd9226-c8f3-484c-b213-a18a7980bd64 · outbound

This paper cites A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility.arXiv preprint arXiv:2504.07086, 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility.arXiv preprint arXiv:2504.07086, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.463634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c167a1d1-345d-4cc1-9172-f02160a6a1e8 · outbound

This paper cites Compound-qa: A benchmark for evaluating llms on compound questions.arXiv preprint arXiv:2411.10163, 2024.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Compound-qa: A benchmark for evaluating llms on compound questions.arXiv preprint arXiv:2411.10163, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.469333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5374261a-fc43-48f6-8a2d-89c639e966ec · outbound

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

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.474664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9b75dce-a692-4a17-96c3-e4c1b56b8201 · outbound

This paper cites Qwen2.5-Coder Technical Report.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Qwen2.5-Coder Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.479733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8827ea6b-82b3-4512-8c17-6d9418c39241 · outbound

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

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.486293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8d00e6a-8f2d-43fe-b230-6fbfe265d4b8 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Swe-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.973252Z

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.

Observation fbf33416-9f5c-453b-89b2-20a4bfe2f7ac · outbound

This paper cites Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.498612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def049e9-6de0-4ab7-8a45-1410b4ad7429 · outbound

This paper cites CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.504727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f47877-0a6e-4bd5-878e-343153bdd0d2 · outbound

This paper cites MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:35:32.543004Z

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.

Observation 0c557471-d394-4ea3-b7cf-7aef5ebf7d00 · outbound

This paper cites Aime 2025 dataset, 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Aime 2025 dataset, 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.947508Z

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.

Observation b990de15-63eb-4dcd-a11e-cf6bbba9e77f · outbound

This paper cites Lost in the middle: How language models use long contexts.T ransactions of the Association for Computational Linguistics, 12, 2024.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Lost in the middle: How language models use long contexts.T ransactions of the Association for Computational Linguistics, 12, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.918264Z

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.

Observation 5204b94e-7408-418d-b2d9-cda9cc9501f7 · outbound

This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.531602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a9691b-8521-436f-a46e-944e0bcf5b58 · outbound

This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.887993Z

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.

Observation f1118e6a-569d-4c15-ab13-16284aed28a1 · outbound

This paper cites Real: Efficient rlhf training of large language models with parameter reallocation.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Real: Efficient rlhf training of large language models with parameter reallocation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.544110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e452e6f-618b-4eac-b43e-04b4ac0359f8 · outbound

This paper cites s1: Simple test-time scaling.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once s1: Simple test-time scaling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.550519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d41f9fc1-155e-455a-83e2-f47493bfacc5 · outbound

This paper cites Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.557650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39780489-485f-4189-bbc1-fd9062f744c1 · outbound

This paper cites Openai o3 and o4-mini system card, Apr 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Openai o3 and o4-mini system card, Apr 2025

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.841219Z

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.

Observation 0a7d6353-7a6c-4cce-9c82-e62afc5fc3ee · outbound

This paper cites LEMMA: Learning from Errors for MatheMatical Advancement in LLMs.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once LEMMA: Learning from Errors for MatheMatical Advancement in LLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.578289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3315be9-bdf9-4c7a-a7b7-0a90b1e52275 · outbound

This paper cites MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.583773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bce54451-14c6-4b2c-aa51-696bf63c5a03 · outbound

This paper cites CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.589921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7dca3b-95c3-4ad4-bb5f-c690046d5165 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Gpqa: A graduate-level google-proof q&a benchmark

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.595871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb57203-05da-4b9f-b0ed-a5a09edc8c99 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Code Llama: Open Foundation Models for Code

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.600900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b37e65d-e30c-4cab-b8ed-574fb9b42aea · outbound

This paper cites A practitioners’ guide to transfer learning for text classification using convolutional neural networks.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once A practitioners’ guide to transfer learning for text classification using convolutional neural networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.777088Z

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.

Observation 1b4d177f-3de1-4cb5-a6d6-90521a19064a · outbound

This paper cites Rethinking Reflection in Pre-Training.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Rethinking Reflection in Pre-Training

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.611579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9f2f83-dde7-48ee-8ea0-60bc1d38bb34 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.617129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2681144d-be27-4ec2-9346-bf4175310e8e · outbound

This paper cites StructuredRAG: JSON Response Formatting with Large Language Models.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once StructuredRAG: JSON Response Formatting with Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.623431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f1595e1-a2cb-4814-bf27-bb3bea871c58 · outbound

This paper cites an unresolved cited work.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:35:33.734942Z

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.

Observation 44f19072-1194-48ea-8190-4c249b62aa5a · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.635546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca4952e-b9f3-4f99-b3da-19b652ad3bb7 · outbound

This paper cites Commonsenseqa: A question answer- ing challenge targeting commonsense knowledge.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Commonsenseqa: A question answer- ing challenge targeting commonsense knowledge

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.702329Z

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.

Observation 3592653e-52be-4764-ac17-dbde88ab955f · outbound

This paper cites Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.645965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c333033-5f40-49a3-8bdb-7d6c65dfd001 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Gemini: A Family of Highly Capable Multimodal Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.651233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ed657f-18a9-4afa-884e-b8c9effaf7d8 · outbound

This paper cites Gemma 3 Technical Report.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Gemma 3 Technical Report

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.656844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f127b587-d06f-4894-8541-986dae1a3acb · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.662296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f0747c9-feec-49a6-a2ff-1d24a093019d · outbound

This paper cites Open Thoughts, January 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Open Thoughts, January 2025

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.670553Z

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.

Observation 7e17e468-f86e-45dc-8610-5634a5272ccb · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.674386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df5bbf48-696d-48e1-ad0a-e5f70cfe8bd2 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.681214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 735fa473-68b5-4aae-b2d0-b8187d8135bd · outbound

This paper cites Evaluating llms with multiple problems at once: A new paradigm for probing llm capabilities.arXiv e-prints, pages arXiv–2406, 2024.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Evaluating llms with multiple problems at once: A new paradigm for probing llm capabilities.arXiv e-prints, pages arXiv–2406, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.631351Z

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.

Observation b60c03f1-14c4-4a95-a520-91ce8f4fccf3 · outbound

This paper cites Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.692436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5775c902-e633-4850-8d68-933baa18105b · outbound

This paper cites Qwen2.5 Technical Report.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Qwen2.5 Technical Report

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.698122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef69f0ad-aad0-4073-b79f-7f9ea4ac61cf · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.712672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 111b102f-a05e-4ae1-bf88-8700d95d4e91 · outbound

This paper cites Aime-preview: A rigorous and immediate evalua- tion framework for advanced mathematical reasoning.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Aime-preview: A rigorous and immediate evalua- tion framework for advanced mathematical reasoning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.605064Z

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.

Observation a62d3ed8-d201-482f-a455-a323b0323cab · outbound

This paper cites Mitigate position bias in large language models via scaling a single dimension.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Mitigate position bias in large language models via scaling a single dimension

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.581735Z

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.

Observation 1b4084d5-1f64-4f1e-97a8-33d14e2df46d · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.731325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d7c9bc-b709-45ee-80c2-f5b89985d4fb · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.738286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b70d40-304a-41d7-be02-63be69b72be2 · outbound

This paper cites Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.748303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c51be8-50fa-40f3-bd10-77489d4565de · outbound

This paper cites Your task is to extract the final answer from the prediction as it is, even if it is incorrect.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Your task is to extract the final answer from the prediction as it is, even if it is incorrect

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.556386Z

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.

Observation 331cc45b-32e9-4aa0-8c52-0f616cd45472 · outbound

This paper cites an unresolved cited work.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:35:33.530155Z

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.

Observation 4c5a31fd-82c9-4ed0-b29b-3b8b337a5bbe · outbound

This paper cites You should set the final answer to None (e.g., \boxed{None}).

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once You should set the final answer to None (e.g., \boxed{None})

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.496129Z

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.

Observation ffbd914f-2835-49ec-aa56-1a60046abf66 · outbound

This paper cites an unresolved cited work.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:35:33.471313Z

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.

Observation e76c610e-89fa-43b8-bbc6-310aca6f4d4f · outbound

This paper cites For example, if there are three questions, the output should be Answer to Q1: \boxed{answer 1} Answer to Q2: \boxed{answer 2} Answer to Q3: \boxed{answer 3}.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once For example, if there are three questions, the output should be Answer to Q1: \boxed{answer 1} Answer to Q2: \boxed{answer 2} Answer to Q3: \boxed{answer 3}

Reference 68

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T17:35:33.441592Z

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.

Observation eb0aa1e9-157e-4a91-bf2b-81c7ca3f7619 · outbound

This paper cites We need to find this distance, express it in a specific form, and then compute m+n+p where the distance is m√n/p.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once We need to find this distance, express it in a specific form, and then compute m+n+p where the distance is m√n/p

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.400304Z

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.

Observation b69446d0-8b2e-4d0e-855c-f6703ce1eb05 · outbound

This paper cites This distance can be written in the form m√n p , where m, n, and p are positive integers, m and p are relatively prime, andnis not divisible by the square of any prime.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once This distance can be written in the form m√n p , where m, n, and p are positive integers, m and p are relatively prime, andnis not divisible by the square of any prime

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.421756Z

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.

Observation 9b5446c9-9f63-4f74-a0bd-2388734482a5 · outbound

This paper cites tikz\"); label(\.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once tikz\"); label(\

Reference 307

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:33.371631Z

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.

Pith citing papers

Observation b4698c59-ecbb-4409-b14c-54f31f80b53c · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:04.542163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a683dd-5643-4caf-aeaf-4f7f986a0c69 · inbound

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:54.185654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 809f36c3-16c5-4fd6-8885-1d3af49c5462 · inbound

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs cites this paper.

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:06:00.571138Z

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.

Observation 33210c55-ec7d-49c0-8eb3-8996eac8a493 · inbound

From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents cites this paper.

From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-09T14:26:20.341497Z

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.

Observation c6db5c40-fc03-4847-ac89-107798b2046b · inbound

Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions cites this paper.

Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T00:41:01.511851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.