Paper Citation Record · LEDGER

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.19949.

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

pith.paper-citation-record.v1
2505.19949 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:50.078929Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

41 of 41 outbound references displayed

verified exact0
verified fuzzy10
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddad73c1-5424-48c4-9768-8bc995fff989 · outbound

This paper cites Program Synthesis with Large Language Models.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Program Synthesis with Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:45.613100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae75736-30a1-4717-9cca-f8380f157831 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:45.758549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2650323-eaa9-462c-81aa-bba43c234598 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:45.884171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfab52b8-5e3e-4f2a-918a-1d63c622f0ce · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:46.080330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 596e6a26-af2b-470a-b65f-5879c4206d87 · outbound

This paper cites Interpretable Contrastive Monte Carlo Tree Search Reasoning.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Interpretable Contrastive Monte Carlo Tree Search Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:46.209977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535ea86b-a35f-48e9-80b6-d0e718a46e6c · outbound

This paper cites Fast approximate natural gradient descent in a kronecker factored eigenbasis.Advances in neural information processing systems, 31, 2018.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Fast approximate natural gradient descent in a kronecker factored eigenbasis.Advances in neural information processing systems, 31, 2018

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:52.703483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 388e0fe9-510b-4d2f-975e-2a6f36a2a969 · outbound

This paper cites The llama 3 herd of models.arXiv e-prints, pages arXiv–2407, 2024.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions The llama 3 herd of models.arXiv e-prints, pages arXiv–2407, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:46.446004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061957a3-0636-4ec5-ac82-4d8f0b8cfca2 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Studying Large Language Model Generalization with Influence Functions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:46.590180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbea2ef1-0c87-4928-b6b5-643d4a33b68e · outbound

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

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:46.743041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73905d9c-9fcf-4191-bfee-12fb4da265bb · outbound

This paper cites Measuring coding challenge competence with apps.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Measuring coding challenge competence with apps

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:52.460800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 199c6a15-aed7-4857-b369-434f0a3e17e6 · outbound

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

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Measuring mathematical problem solving with the math dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:52.192137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60dc3daa-4306-4622-809a-6e9c712eae2b · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Towards Reasoning in Large Language Models: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:47.112485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93068a75-31cb-47d2-9e61-f089585532d5 · outbound

This paper cites O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:47.214181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea3c2e9d-9875-4165-a410-36bfedc7b1f2 · outbound

This paper cites Datamodels: Understanding predictions with data and data with predictions.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Datamodels: Understanding predictions with data and data with predictions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:51.998928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a3cf90fd-cbcf-4de0-8cab-9017fa2f2133 · outbound

This paper cites OpenAI o1 System Card.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions OpenAI o1 System Card

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:47.438746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 463e1fe3-3404-4967-aaa8-7e06c71ccacb · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:51.683442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dba2bb7c-4b5b-49eb-9744-edc75fc1219b · outbound

This paper cites Understanding black-box predictions via influence functions.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Understanding black-box predictions via influence functions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:47.666440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39005fd4-6df0-4aca-86d7-19750e41f925 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:47.778247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4dd9dd1-f23f-421e-8b39-59f133b0420b · outbound

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

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:47.894850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e58b0c-62e7-43d0-bf66-b601e6901a47 · outbound

This paper cites Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.Hugging Face repository, 13:9, 2024.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.Hugging Face repository, 13:9, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.007268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f88be193-9df4-4c0c-b584-391fcf0387e2 · outbound

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

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.082496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f047c8a8-3e89-42b8-9cac-48925bda742f · outbound

This paper cites Residuals and influence in regression, 1984.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Residuals and influence in regression, 1984

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:51.501671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ba0de7a-45ae-45e4-aed2-8d77ea28691f · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.192406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf5b0e5-cf45-4b20-980f-87989cfbd8e5 · outbound

This paper cites s1: Simple test-time scaling.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions s1: Simple test-time scaling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.302869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94d3b17-bfcf-4c5e-a7fe-3f187b8b2770 · outbound

This paper cites Sky-t1: Train your own o1 preview model, 2024.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Sky-t1: Train your own o1 preview model, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:51.340216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67a3269c-2d9c-44e5-abe6-313e6d3ca65d · outbound

This paper cites Gpt-3.5-turbo.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Gpt-3.5-turbo

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:51.182252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ad41dfe-b994-4992-b709-5475d3dcd1af · outbound

This paper cites Estimating training data influence by tracing gradient descent.Advances in Neural Information Processing Systems, 33: 19920–19930, 2020.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Estimating training data influence by tracing gradient descent.Advances in Neural Information Processing Systems, 33: 19920–19930, 2020

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.623789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291457a2-b043-483a-9d34-bd7e1b2e7d0d · outbound

This paper cites Reasoning with Language Model Prompting: A Survey.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Reasoning with Language Model Prompting: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.738564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 226526dd-0686-47ca-ae8f-4bf3a708b26f · outbound

This paper cites O1 Replication Journey: A Strategic Progress Report -- Part 1.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions O1 Replication Journey: A Strategic Progress Report -- Part 1

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.828230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ddb016d-4b4f-4224-9fc1-a63fdc1ae444 · outbound

This paper cites Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.901945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953606ee-8e62-41a8-a77d-7fb6b5895087 · outbound

This paper cites A value for n-person games.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions A value for n-person games

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:48.986527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation decb0d15-1c8d-4ca2-b551-4bdf7162daa7 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.118797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5815a4b-20ed-4034-8147-6bd96d0b7331 · outbound

This paper cites Magicoder: Em- powering code generation with oss-instruct.Proceedings of Machine Learning Research, 235: 52632–52657, 2024.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Magicoder: Em- powering code generation with oss-instruct.Proceedings of Machine Learning Research, 235: 52632–52657, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:50.965375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6eb165d9-c577-4497-85c8-12b25fff21a5 · outbound

This paper cites Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.365734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04384deb-b68a-49d0-904e-743caf9baf8e · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.488600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9e1c988-5ace-4cd6-a415-67565fd21187 · outbound

This paper cites Qwen2.5 Technical Report.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Qwen2.5 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.589698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38bfccb2-5e36-40c8-a051-f7697ffc9778 · outbound

This paper cites LIMO: Less is More for Reasoning.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions LIMO: Less is More for Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.705047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61075814-2dd7-4526-9c9b-ce4043e984a1 · outbound

This paper cites Representer point selection for explaining deep neural networks.Advances in neural information processing systems, 31, 2018.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Representer point selection for explaining deep neural networks.Advances in neural information processing systems, 31, 2018

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.797495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b703bea-9a0b-4ec4-ae23-595cfeb1adb0 · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.908064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 210468f8-cb6e-4ff6-9d0e-2d18ee538497 · outbound

This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:49.984765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01fa1620-b367-46d8-8b76-b47bfce1084e · outbound

This paper cites Alternatively, maybe there’s a different way to approach the problem?.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Alternatively, maybe there’s a different way to approach the problem?

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:50.796258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.