Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:51:18.445576Z
Paper Citation Record · LEDGER
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation
As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.09850.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7633559d-e6e7-49d6-8174-061d73ca5f90 · outbound
This paper cites Contrastive Chain-of-Thought Prompting.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Contrastive Chain-of-Thought Prompting
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:16.980286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cb8ee24-caf1-4f41-a2c3-d551fbd8ef0c · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.164619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3944f59-10fc-467b-9455-de2c0df293fd · outbound
This paper cites s1: Simple test-time scaling.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation s1: Simple test-time scaling
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.567757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89346af0-55f5-431c-aa5a-9756990d1cbd · outbound
This paper cites Chain-of-Thought Reasoning Without Prompting.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Chain-of-Thought Reasoning Without Prompting
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.807073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e278407-41c0-471b-9ac3-95814c0ed2ae · outbound
This paper cites Qwen2.5 Technical Report.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Qwen2.5 Technical Report
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.900304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b3b4f80-3ef6-4235-aed0-c9a318962226 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.971403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3ded519-52c8-419b-8937-bbaaa9dccd8a · outbound
This paper cites SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:18.054670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bdb560a-8df6-4ae0-950c-3e6bf4abd00d · outbound
This paper cites Automatic Chain of Thought Prompting in Large Language Models.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Automatic Chain of Thought Prompting in Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:18.153821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc35a9d0-f3f1-4a56-9c7b-ef8c73ed6f86 · outbound
This paper cites Data Generation A.1.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Data Generation A.1
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:51:19.010536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 71a31c61-5e24-4cfb-93b8-39259fd68486 · outbound
This paper cites an unresolved cited work.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:51:18.833812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0d686b90-4d44-4569-aa29-0b00ae6925ff · outbound
This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.434256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c81de72-3dc9-445f-bd2f-2f60b4ad8fd7 · outbound
This paper cites 1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation 1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:18.253925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a93047fa-a45b-4632-8ee3-edd78f5fda81 · outbound
This paper cites Active Prompting with Chain-of-Thought for Large Language Models.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Active Prompting with Chain-of-Thought for Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.063408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6f2d8f8-f5b9-4855-9ecc-2958f85c6327 · outbound
This paper cites NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.701818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afb432f3-93a1-4898-82d6-2917b06861ec · outbound
This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:51:17.298387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.