Paper Citation Record · LEDGER

Can A Gamer Train A Mathematical Reasoning Model?

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.08935.

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

pith.paper-citation-record.v1
2506.08935 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:22.166335Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy2
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3cbc36e8-0509-45b7-a539-35431a402049 · outbound

This paper cites Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?.

Can A Gamer Train A Mathematical Reasoning Model? Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.393043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544a754f-e876-4d6b-994c-6ceef92d32e3 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Can A Gamer Train A Mathematical Reasoning Model? LoRA: Low-Rank Adaptation of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.566380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04986e11-49e8-4dd6-8ace-19c6b744973f · outbound

This paper cites s1: Simple test-time scaling.

Can A Gamer Train A Mathematical Reasoning Model? s1: Simple test-time scaling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.780247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2866b02-8b67-4a79-a955-e77869c69d5c · outbound

This paper cites https://github.com/Jiayi-Pan/TinyZero.

Can A Gamer Train A Mathematical Reasoning Model? https://github.com/Jiayi-Pan/TinyZero

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:22.834765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53c2a64f-45d1-4f5a-922b-6db29596c5a8 · outbound

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

Can A Gamer Train A Mathematical Reasoning Model? DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.885652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a29c77-a704-4f57-a59c-4acba6a27bd1 · outbound

This paper cites https://novasky- ai.github.io/posts/sky-t1.

Can A Gamer Train A Mathematical Reasoning Model? https://novasky- ai.github.io/posts/sky-t1

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:22.629238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9a622f5-a6be-4aaf-8554-b7ede7922f75 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Can A Gamer Train A Mathematical Reasoning Model? Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:22.072238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f308fce-c9de-428b-9bb8-328833fb15f1 · outbound

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

Can A Gamer Train A Mathematical Reasoning Model? Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:22.166335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06b9743-567f-473e-a005-628e5a6b21be · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Can A Gamer Train A Mathematical Reasoning Model? Measuring Massive Multitask Language Understanding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.491475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8486f86-9c96-4722-b765-98df0273a797 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Can A Gamer Train A Mathematical Reasoning Model? Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.225062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50b2e901-02a1-4f37-904a-fa46d9a881be · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Can A Gamer Train A Mathematical Reasoning Model? Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.738356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ab7925-0d95-4377-8d10-0c77e92cd292 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Can A Gamer Train A Mathematical Reasoning Model? FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.279182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa0c303-c60d-4cd1-9227-57027454b319 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Can A Gamer Train A Mathematical Reasoning Model? Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.654953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67c9a9d-fc43-45a7-a8bc-3fa3bd0ceb49 · outbound

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

Can A Gamer Train A Mathematical Reasoning Model? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.349189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.