Paper Citation Record · LEDGER

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code

As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2507.07498.

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

pith.paper-citation-record.v1
2507.07498 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:44:00.020826Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T08:40:40.910461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:40:41.143168Z

Reference resolution

56 of 56 outbound references displayed

verified exact0
verified fuzzy3
unresolved53
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e97d3ca6-0613-403f-a167-1f9d2740b4e0 · outbound

This paper cites Program Synthesis with Large Language Models.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Program Synthesis with Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:56.513180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3498fbf5-206a-4956-b0ee-4d4b3abd7f41 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Evaluating Large Language Models Trained on Code

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:56.595227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7db6b0e-5d22-48a2-b67e-999a3b922f9f · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:56.693037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e74ca6-911d-4584-919d-901d130cc690 · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:01.702849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a182342f-0939-4216-a5ad-c4014354a35f · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:56.867692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be213f86-508b-4eec-bd9d-7ce01221e1b0 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:56.929622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7be902d-f847-4705-b203-fc78ebf9373e · outbound

This paper cites Min, Gail E.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Min, Gail E

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.001314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ba49be-2db1-48ac-bad9-5f6480f21142 · outbound

This paper cites SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.092562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b5160f-9463-4fb9-82bb-23e5fda2d77e · outbound

This paper cites Min, Gail E.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Min, Gail E

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:44:01.615383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 63d3f85b-8bcb-49b3-acb4-4b9c2a70d255 · outbound

This paper cites Kaiser, Wei Le, and Baishakhi Ray.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Kaiser, Wei Le, and Baishakhi Ray

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.248831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8999b04-aa9a-4d01-b602-c9f5584ecc5c · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.306817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9933a054-1d12-4da6-8fde-87d0afd5cedc · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:01.538429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ee7c40b-946e-46c1-9991-3dda6ac8a2ae · outbound

This paper cites Are We Done with MMLU?.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Are We Done with MMLU?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.410818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2524e37f-3834-445b-ad3f-2766ed9f426a · outbound

This paper cites Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.462689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea1aca0-17cf-44ce-bab3-d6912a0b2bc1 · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:01.449710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89b15af0-e0ae-43b1-876b-86fffe9e5918 · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:01.355905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b770dbb4-18f9-4cd7-8879-0dc42f6fe197 · outbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.608469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5066ef0-7bd0-4cd0-84fa-93f0e1316849 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.651700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81f6f63a-f19c-4e28-9807-46b81b6a8dbd · outbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Measuring Mathematical Problem Solving With the MATH Dataset

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.708756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a38939c-a5c4-4976-952f-08e297d0c85a · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.785882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f54101d-8a92-4ba9-ae5e-9ccf6a4cad05 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Qwen2.5-Coder Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.839394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01f51ce-a523-47e5-ba9f-cdb2e14be61a · outbound

This paper cites OpenAI o1 System Card.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code OpenAI o1 System Card

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.895612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc6c8bd9-bc18-447b-8b49-db539a07e775 · outbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:57.969802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f775d378-1c6f-41d0-93b1-f1171f34f13f · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:01.283436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 493bf569-5162-4e7c-a312-81eb33bb145a · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.069083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca038d3-4070-4412-93fe-258d7d9f6090 · outbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.194426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705bca43-4958-4332-8364-62c8169b340e · outbound

This paper cites CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.301904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d37bcf-d2fd-4899-ae03-7805c3e87a0c · outbound

This paper cites MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.430688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe9e047-01dc-4272-a012-e5869a9c0d20 · outbound

This paper cites HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.486504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf41a461-6ba7-4a9d-97a6-6c755177b0fc · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:01.158488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 351480f6-b042-44dc-a133-69877045730e · outbound

This paper cites ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.771660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 711345b0-5fcf-4d58-aae5-ae6f48db94f9 · outbound

This paper cites On the Impact of Fine-Tuning on Chain-of-Thought Reasoning.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code On the Impact of Fine-Tuning on Chain-of-Thought Reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.869826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43a09bcd-2a34-4758-b151-876c4c53b183 · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.929656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02a2f70-fb09-44ee-a3ad-ec2234bab7ff · outbound

This paper cites KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.987141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0270f618-f1c0-4595-84dd-2b347d0ec3fc · outbound

This paper cites Qwen2.5 Technical Report.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Qwen2.5 Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.046822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17feeeea-e0d2-4784-99ce-83f14916907e · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.109983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67fb2b71-9929-4c31-8644-0cc18dac0ee4 · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.155801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b48e226-7534-4af7-a9c1-1b5fcc0ea1a2 · outbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.205671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d1e1e1-8df0-4206-9df7-212aa93f435d · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:01.049327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c774638-4500-4e1d-beac-2ba61ae4e4b4 · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.311348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7dde5ff-939b-4562-b0e6-95af6b34ff72 · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.388088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff4a753f-d84a-4aaf-b0b8-e6b537bc62dc · outbound

This paper cites OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.471326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88366e24-9723-48b8-933d-b688da49350d · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:00.969329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38559dbf-f1ae-4979-aae0-abcdcdc53f6f · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.614488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db14ff2f-6586-4fba-a676-ab1b1c522760 · outbound

This paper cites Le, Ed H.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Le, Ed H

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:44:00.892980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e0b8cd6-af3b-40a5-8efa-256c0de4201b · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:00.785136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf2044ff-eb66-4004-bf51-d582acf36600 · outbound

This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:44:00.703241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92874828-cc70-4d5e-b29b-aec626613d50 · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:44:00.584735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8b0e9da-da06-47ad-8c4d-09724995ea1a · outbound

This paper cites LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.848050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a139d5-32ad-498a-880e-a8739508a026 · outbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.893251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498cf9e9-8b5a-42f6-9848-f9b4f31190ec · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.932862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536563bd-f0ae-4a38-ac31-fe7cc09dc943 · outbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.959396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f4a8c5-380c-40c7-ac76-6aedd63ed9e2 · outbound

This paper cites Learning to Execute.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Learning to Execute

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.965594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7351096-4071-4a91-8b50-e1129681d1ba · outbound

This paper cites an unresolved cited work.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.970269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5e5406b-ede2-49b5-b534-889a281da0ac · outbound

This paper cites online" 'onlinestring :=.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code online" 'onlinestring :=

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.987191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cff075c-7ed1-42d4-929a-396445ae561e · outbound

This paper cites write newline.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code write newline

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T18:44:00.020826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation bd083f39-b368-43e4-831b-cbe8ff80f22e · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.146090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.