Paper Citation Record · LEDGER

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.10182.

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

pith.paper-citation-record.v1
2505.10182 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:19:11.606064Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

37 of 37 outbound references displayed

verified exact1
verified fuzzy7
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10935a2c-d8b7-430b-a008-5edbf15726fb · outbound

This paper cites OpenAI o1 System Card.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning OpenAI o1 System Card

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.410604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc68ba5-366c-49b2-b73d-6287cbcc7701 · outbound

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

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.416696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd2dbeb3-e572-494f-8fb7-a312f26a32ab · outbound

This paper cites Aime, February 2024.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Aime, February 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:19:12.296180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f87ae0c-bc24-4968-92de-088dedb01013 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.428367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5ec225-280e-4a51-b52a-356d3af8af6e · outbound

This paper cites s1: Simple test-time scaling.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning s1: Simple test-time scaling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.434569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9578c198-18fb-4377-b5d1-59258b3a66c5 · outbound

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

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.440751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 660c3e1f-2ddd-466f-909b-c386d3d1f956 · outbound

This paper cites Openwebmath: An open dataset of high-quality mathematical web text.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Openwebmath: An open dataset of high-quality mathematical web text

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:19:12.281867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 550d1d9b-df95-4b4e-a4fd-e6576a352641 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.452909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d709fb50-d897-4e9d-a236-3701e5e567ae · outbound

This paper cites Reasoning to learn from latent thoughts.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Reasoning to learn from latent thoughts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.458743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a129c0-6cf9-432e-a53b-600507421aee · outbound

This paper cites Gemini 2.5: Our most intelligent ai model, March 2025.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Gemini 2.5: Our most intelligent ai model, March 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:19:12.266849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 04ed7a77-aa28-4a07-881e-16d59dbfad03 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.469033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbe24fd-43fa-4606-846f-2527260adec6 · outbound

This paper cites Decoupled weight decay regularization.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Decoupled weight decay regularization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.474949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77fc7e87-93c2-4f4a-bac7-1bfede272d7e · outbound

This paper cites Measuring massive multitask language understanding.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Measuring massive multitask language understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.480520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d7a7f2-650f-4dbf-92b1-44a82584f7f7 · outbound

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

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.486677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf07aed-0d64-4444-8cdf-b401d97a86fc · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Evaluating Large Language Models Trained on Code

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.491911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4dc4ef-4fa9-4bbc-80d2-c85a969d4c5a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.497074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f83a44-f7f0-4fbd-8491-feaa3eb82968 · outbound

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

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.502454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65333f7-e15f-4063-a65d-c67fbcec0e07 · outbound

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

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.507629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8bfabb7-6399-4b70-bf12-6879d01ef5dc · outbound

This paper cites Optimizing Language Models for Inference Time Objectives using Reinforcement Learning.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Optimizing Language Models for Inference Time Objectives using Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.512505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9c93bd-9054-481c-a540-25336f6abc1a · outbound

This paper cites Le, Ed H.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Le, Ed H

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.519182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a52351be-85b8-4af4-a86d-1257b5f78018 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.523971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22da0afe-aeca-4a94-a9b2-2585ab5bb26b · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Self-refine: Iterative refinement with self-feedback

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.529227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e1002fe-0b2d-432c-b59b-fa5056047efa · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Reflexion: language agents with verbal reinforcement learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.533971Z

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Unavailable: canonical work link unavailable.

Observation c0f1f884-ce5c-4c95-a944-61b2c418c69c · outbound

This paper cites Teaching large language models to self-debug.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Teaching large language models to self-debug

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:19:12.197895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 38161081-f239-48aa-9d05-d36faf6491e7 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Tree of thoughts: Deliberate problem solving with large language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:19:12.180488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec9364ca-766b-46b8-b0f4-f1f4135196c9 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.548905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1fffe49-1e3e-4eba-bac4-7575d412aaae · outbound

This paper cites an unresolved cited work.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:19:12.164558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1bee59f1-e5df-4a0f-8ae0-ddfa45bd44a5 · outbound

This paper cites If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.560898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae71f412-ec7a-4448-8b74-119cf80e816c · outbound

This paper cites To Code, or Not To Code? Exploring Impact of Code in Pre-training.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning To Code, or Not To Code? Exploring Impact of Code in Pre-training

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.565842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3683302c-82a6-4084-b460-6c3e6781b608 · outbound

This paper cites How Does Code Pretraining Affect Language Model Task Performance?.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning How Does Code Pretraining Affect Language Model Task Performance?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.570810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbefbe97-23e9-49be-ab8d-c833b318209d · outbound

This paper cites Code Pretraining Improves Entity Tracking Abilities of Language Models.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Code Pretraining Improves Entity Tracking Abilities of Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.576093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d826bc08-d91e-479b-a6b7-b75cae84e445 · outbound

This paper cites an unresolved cited work.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:19:12.148624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a58e86e-7d0b-47b8-8cfc-4fe83a69b774 · outbound

This paper cites Lexpam: Legal procedure awareness-guided mathematical reasoning.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Lexpam: Legal procedure awareness-guided mathematical reasoning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:19:12.133674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dfc13669-de20-484b-98f1-96764ec2fd00 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.590629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08057371-22ad-46e2-95fa-b7fb9928f5fa · outbound

This paper cites Explain yourself! leveraging language models for commonsense reasoning.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Explain yourself! leveraging language models for commonsense reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:11.595792Z

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Unavailable: canonical work link unavailable.

Observation 16c7d3b1-e8a8-440d-9d23-0ebbeb235ea9 · outbound

This paper cites Reinstruct: Building instruction data from unlabeled corpus.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Reinstruct: Building instruction data from unlabeled corpus

Reference 36

Resolution: verified exact; doi, observed 2026-08-15T21:19:11.643936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ac925d0-dcc3-4944-b8a6-fe5a411ea794 · outbound

This paper cites Learning to reason and memorize with self-notes.

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning Learning to reason and memorize with self-notes

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:19:12.119282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.