Paper Citation Record · LEDGER

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

As of 21 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 23 inbound Pith citation observations for arXiv:2501.11284.

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

pith.paper-citation-record.v1
2501.11284 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:30:56.713363Z

measured 87 of 87 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:43:44.637601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:58:21.059264Z

Reference resolution

64 of 64 outbound references displayed

verified exact0
verified fuzzy13
unresolved51
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6684df7c-8c43-4b42-876c-6c0c96de5cef · outbound

This paper cites Marco-o1: Towards open reasoning models for open-ended solutions, 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Marco-o1: Towards open reasoning models for open-ended solutions, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.309489Z

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 9e3945d2-ceba-4e02-87d2-e68faea11730 · outbound

This paper cites O1 replication journey: A strategic progress report – part 1.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? O1 replication journey: A strategic progress report – part 1

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.501338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d6c3cd-11c5-4b96-a56d-3ef00488adba · outbound

This paper cites Technical report: Enhancing llm reasoning with reward-guided tree search, 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Technical report: Enhancing llm reasoning with reward-guided tree search, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.294554Z

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 0adffac8-895c-4587-8941-6974835bedcd · outbound

This paper cites O1 replication journey – part 2: Surpassing o1-preview through simple distillation, big progress or bitter lesson?, 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? O1 replication journey – part 2: Surpassing o1-preview through simple distillation, big progress or bitter lesson?, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.285382Z

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 0b987cbf-901a-4012-8002-e4dde8fd332b · outbound

This paper cites Imitate, explore, and self-improve: A reproduction report on slow-thinking reasoning systems, 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Imitate, explore, and self-improve: A reproduction report on slow-thinking reasoning systems, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.513438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090feec9-7cae-4340-9b32-a0008bdb40cf · outbound

This paper cites Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.516813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e2b914-3c8b-4706-91d2-dd7355e5257d · outbound

This paper cites Atomthink: A slow thinking framework for multimodal mathemat- ical reasoning.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Atomthink: A slow thinking framework for multimodal mathemat- ical reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.520589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf177f94-4734-4f7f-a1d7-048490ad308f · outbound

This paper cites Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.523384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66af4561-5e98-45e6-8dad-bc10885ac19c · outbound

This paper cites Numinamath.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Numinamath

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.265275Z

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 956e39ff-4f87-4a37-8a14-8ac4ab7098cb · outbound

This paper cites Measuring mathematical problem solving with the math dataset, 2021.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Measuring mathematical problem solving with the math dataset, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.530164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae29240-fa09-4959-8929-99feabfeaa54 · outbound

This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems, 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.533610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef824cd-aba8-487a-9926-10ffc991260f · outbound

This paper cites Mathscale: Scaling instruction tuning for mathematical reasoning, 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Mathscale: Scaling instruction tuning for mathematical reasoning, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.245007Z

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 175775de-a707-4df2-b443-a174f92ff7e8 · outbound

This paper cites Manning, and Chelsea Finn.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Manning, and Chelsea Finn

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.540207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bce257a4-edc9-441f-82c3-a3835bca4530 · outbound

This paper cites Proximal policy optimization algorithms, 2017.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Proximal policy optimization algorithms, 2017

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.543466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc8f446-0f98-4c7e-b8e3-30770a31c4f2 · outbound

This paper cites Reinforce++: A simple and efficient approach for aligning large language models, 12 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Reinforce++: A simple and efficient approach for aligning large language models, 12 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.223102Z

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 4e709bdd-5291-45d7-8a85-b40b5982b650 · outbound

This paper cites HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.550071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e71e5130-7f4f-4145-a44f-b36082823a96 · outbound

This paper cites Sedareval: Automated evaluation using self-adaptive rubrics.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Sedareval: Automated evaluation using self-adaptive rubrics

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.211749Z

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 cdde7c84-f3c4-4329-b3e6-6edbebb405ed · outbound

This paper cites GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.557012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b64bec-4efb-496e-a052-42b6f063e4ad · outbound

This paper cites Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.560768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd735e37-bffb-4c51-a87f-46515aee152d · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.564694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc9a8f51-7c10-4260-9bd4-947b11fe0f11 · outbound

This paper cites LANS: A layout-aware neural solver for plane geometry problem.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? LANS: A layout-aware neural solver for plane geometry problem

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.202045Z

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 4eb36545-2e5a-4d2e-bdd0-620a7d0e8675 · outbound

This paper cites A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.575437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95654284-0c7d-405a-8cbb-f760541c4267 · outbound

This paper cites GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.579113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e55af2c6-acc4-4b3d-afdb-c281a86cdaca · outbound

This paper cites o1-Coder: an o1 Replication for Coding.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? o1-Coder: an o1 Replication for Coding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.582493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db000af0-16fb-47f9-acc5-f57347584547 · outbound

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

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.585753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 675c9d55-6ce2-4709-90ac-7cfbbdc217eb · outbound

This paper cites DRT: Deep Reasoning Translation via Long Chain-of-Thought.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? DRT: Deep Reasoning Translation via Long Chain-of-Thought

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.589061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c14c835-42d6-4e00-9eb9-9d70c981c56c · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.593389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a90d0cf-dd06-432b-91ce-1807c7849fb5 · outbound

This paper cites Virgo: A Preliminary Exploration on Reproducing o1-like MLLM.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Virgo: A Preliminary Exploration on Reproducing o1-like MLLM

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.596230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0f4166-fb99-42b7-9f8a-15f9114a48de · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? ReFT: Reasoning with Reinforced Fine-Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.599174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b39beb-76e6-448b-b528-ab03d8833d1e · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Reinforced Self-Training (ReST) for Language Modeling

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.602129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e346fb3-ea88-4136-a0bd-213e91797571 · outbound

This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.604968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ecfb35-f421-46bf-b2b2-220425071ba2 · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.608249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5e3cde-e83a-46a9-b9b0-e1b2023e7a4f · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.611704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4f1501-58eb-4464-9eaa-9751ee594ebb · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.615339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122d59b5-e9ce-4932-9735-0a6b9f38b113 · outbound

This paper cites Thinking fast and slow with deep learning and tree search.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Thinking fast and slow with deep learning and tree search

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.618984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9035d0c-7bb2-47e1-92a4-5db39da7e6d8 · outbound

This paper cites Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.621889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6324bf-9b6a-4a77-8e87-d30f392cf7b8 · outbound

This paper cites Mastering the game of go without human knowledge.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Mastering the game of go without human knowledge

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.180641Z

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 8544f6b9-a7e9-4034-93a6-75006efcc57c · outbound

This paper cites No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.628448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f4b00a-5792-4e3f-b5ce-1c450f498cc6 · outbound

This paper cites Curriculum learning.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Curriculum learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.632017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 873b657a-ea59-420e-8f21-dd55ba72b4ed · outbound

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

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Code Llama: Open Foundation Models for Code

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.635300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9df3bf-47fd-4c60-95c4-7d174d88b2bb · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.638598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e62aa5-ddfb-4c62-b8f6-27c3f3862acb · outbound

This paper cites Retrieval augmented language model pre-training.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Retrieval augmented language model pre-training

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.642337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee61eab-1635-4ea7-8386-d41ac5f332a6 · outbound

This paper cites Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.645685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be64d198-d8e0-48b9-a79f-6677a6aa7cf2 · outbound

This paper cites Processbench: Identifying process errors in mathematical reasoning, 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Processbench: Identifying process errors in mathematical reasoning, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.158054Z

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 909b8d55-5624-43a7-894c-d41b668554d4 · outbound

This paper cites an unresolved cited work.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:30:57.146898Z

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 90fec8f7-7f5d-4680-802a-c0bba621188a · outbound

This paper cites Measuring Massive Multitask Language Understanding.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Measuring Massive Multitask Language Understanding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.656071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32908a0-4a9c-4012-87c6-686eefd430da · outbound

This paper cites CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.659553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f12c21a-8b97-4b11-8758-ea7ec64b5dc5 · outbound

This paper cites C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.663146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2ca12f5-e721-4b9a-b520-0bec5bc06869 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.666670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9689154-010a-40c1-b3bd-eed9cddb1d57 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.670190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd223b4-5fec-4f2a-a188-f0e9c7955c2d · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.673473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073a2f1d-c5eb-4d3b-b494-6cf026cc9dbe · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.676790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9732932-02f6-49a3-8388-9a7af29ce667 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.679863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77f2c6d-061f-44b6-b5be-ffcc2237c396 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Winogrande: An adversarial winograd schema challenge at scale

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.682778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 688a6a96-1b8b-4fb5-be32-4608fb080e0c · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.685557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e754c2-9edc-4552-a5fa-87a390a07ee2 · outbound

This paper cites Natural questions: a benchmark for question answering research.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Natural questions: a benchmark for question answering research

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.688976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9a7bef9-e400-42e8-a59e-7b975de6f617 · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.692212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72cfdf90-beb9-404e-bddc-e3c68d5db2eb · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Instruction-Following Evaluation for Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.695813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ffb0a6-5552-4edc-af84-92a3866252cb · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Qwen2.5: A party of foundation models, September 2024

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.699645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfde6c4d-60a8-4d07-b9f4-0e7e0bf29f25 · outbound

This paper cites Qwq: Reflect deeply on the boundaries of the unknown, November 2024.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Qwq: Reflect deeply on the boundaries of the unknown, November 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.109326Z

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 6ccb0dde-0388-46a4-8889-0353c8e1949f · outbound

This paper cites This indicates that the current verification methods have limitations, especially when scaling to more difficult reasoning tasks.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? This indicates that the current verification methods have limitations, especially when scaling to more difficult reasoning tasks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.100852Z

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 68a63e40-e73c-40d9-9496-b0e6cdacf5c0 · outbound

This paper cites Model BBH ARC- GPQA- Hella- Wino- Average.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Model BBH ARC- GPQA- Hella- Wino- Average

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:30:57.091925Z

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 0f56f1b1-e949-4eba-b2ea-030b6f301078 · outbound

This paper cites an unresolved cited work.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:30:57.080804Z

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 9cde4dd1-a7e0-41d8-b0c3-f27d56fee6b9 · outbound

This paper cites an unresolved cited work.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.571914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0f497445-4ce9-4e84-b302-6c64f19604a5 · 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 RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.624208Z

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 258a02af-6a6b-4d99-b955-2268467f3044 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 234

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:18:53.547307Z

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 d2759468-5889-45df-8476-5e946ef495ef · inbound

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models cites this paper.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.637601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89d592e-8ab3-49ad-92de-94d367b0ca7c · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-16T00:48:19.508012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 745326d5-d3df-44cf-8a7b-fc14584ec5d4 · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:57.734912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51606719-fb28-47d4-ad15-36ff7ef06158 · inbound

STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs cites this paper.

STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:42.262101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35523a1-55af-462e-9760-58367039a88f · inbound

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models cites this paper.

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:13.583355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cec24d0-f256-4c17-9cd9-8c44588cd93e · inbound

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection cites this paper.

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:39.871961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fcb8a4d-1292-4391-ba39-3ac59747cd87 · 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 RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:41.856018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1823873-8f56-4b08-bb8e-2976b786cfea · inbound

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models cites this paper.

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:35.743013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db56cecf-9f5a-4d29-9bcf-863d9e379bfa · inbound

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL cites this paper.

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:40.365512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292b9609-9766-4900-a4d7-9b02281e81cf · inbound

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation cites this paper.

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:49.630323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8cd5682-e691-4445-a0c9-5039ab6d027c · inbound

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training cites this paper.

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T16:46:00.345444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b28d8b18-0fdc-4bd4-b0b3-287c237b2b98 · 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 RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:04.629639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1543a353-e86a-4853-b45d-d8927b37cbc1 · inbound

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information cites this paper.

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T20:07:00.485136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3032dd93-6f49-4b75-83cc-bdcb605a58fb · inbound

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens cites this paper.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.763726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383c04bc-624c-4b91-a06b-d9a1253be304 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:02.106102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e616cef-58d9-42c3-bf3d-ef2762e15bda · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T13:52:07.032838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68011b37-55ec-4367-a506-ff6573385c05 · inbound

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy cites this paper.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T20:36:05.177375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08070b7a-8ea2-4972-bcdd-cd9f20195fa3 · inbound

Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe cites this paper.

Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:26:15.869637Z

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 cc5f5136-6512-40a9-bf8e-4bc81879f62b · inbound

IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking cites this paper.

IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:37:30.879462Z

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 27423c9b-7915-46d9-9a73-c223ed073c6a · inbound

Purified OPSD: On-Policy Self-Distillation Without Losing How to Think cites this paper.

Purified OPSD: On-Policy Self-Distillation Without Losing How to Think RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:21.060965Z

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 feda317e-f4f1-4c84-b724-c765eae22b4d · inbound

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs cites this paper.

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T00:51:24.917563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.