Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:46:00.345444Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.