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Paper Citation Record · LEDGER

Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2406.03847.

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

pith.paper-citation-record.v1
2406.03847 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:05:42.649624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:47:31.553498Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f29808f0-2af7-4ba8-a85d-6a0a3b564fad · inbound

Formal Mathematical Reasoning: A New Frontier in AI cites this paper.

Formal Mathematical Reasoning: A New Frontier in AI Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 180

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no resolver link, observed 2026-08-11T10:51:30.262060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:51:30.262060Z digest=sha256:7130554d24b797d174fc4c7252abe8871f6c7119ace32391756ede5385b26961

Observation 9f878693-dcd9-4e6c-a9fb-86f3f7a66de4 · inbound

YuLan-Mini: An Open Data-efficient Language Model cites this paper.

YuLan-Mini: An Open Data-efficient Language Model Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 122

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no resolver link, observed 2026-08-11T05:17:55.979312Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:55.979312Z digest=sha256:96cd6cbd55e45cef2cb8c15dc3ca1639f1e187abec7902945159980f326b04d5

Observation 8c3fe766-2a92-4353-b7d5-e94438ee68cb · inbound

HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving cites this paper.

HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 18

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no resolver link, observed 2026-08-10T23:21:23.698084Z

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source=arxiv_source observed=2026-08-10T23:21:23.698084Z digest=sha256:df6cc646fbca00d0d5b37b39dcb75fe3ecd725094beceb79f891f72f5b50a7bb

Observation 15432486-6619-4368-bfde-1a491751d122 · inbound

Hierarchical Attention Generates Better Proofs cites this paper.

Hierarchical Attention Generates Better Proofs Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 72

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no resolver link, observed 2026-08-16T06:05:42.649624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T06:05:42.649624Z digest=sha256:423b58ef1f3e9fd21442c6c9ad5d13cc50a0b8341b36616cc952d9e653ba46d6

Observation 3710e650-2578-45b9-88d4-37a1826d2e95 · inbound

LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation cites this paper.

LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 2022

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no resolver link, observed 2026-08-15T20:50:26.151405Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:26.151405Z digest=sha256:a3892c71220fecd4b444791a6d2065cd86899f70be7dcdb277bc1224728de2ba

Observation 73ce886d-6987-4cf7-a7b0-f90e6c9b2362 · inbound

Formally Solving Answer-Construction Problems in Lean cites this paper.

Formally Solving Answer-Construction Problems in Lean Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 55

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no resolver link, observed 2026-08-07T14:34:10.073644Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:10.073644Z digest=sha256:d1fa7b2bac191fdd63146e6d9d1aad74215f3f8c1800794a3737d135f32c6fe0

Observation 14510e7e-5add-409f-a449-39360146a42d · inbound

MathArena: Evaluating LLMs on Uncontaminated Math Competitions cites this paper.

MathArena: Evaluating LLMs on Uncontaminated Math Competitions Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 35

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arxiv_id, observed 2026-05-15T00:10:14.878182Z

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.

source=pdf_text observed=2026-05-15T00:10:14.812539Z digest=sha256:61a33aea9f218e6e0d6bbda9a1c3185c6c280422aff7d4cdcbe1d5d18161fdbe

Observation f6bb30b5-9f17-46e2-956b-22124d25a4e3 · inbound

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening cites this paper.

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 30

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no resolver link, observed 2026-08-07T11:31:02.590549Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:31:02.590549Z digest=sha256:7ac3ead0fb60c8f98c5888775c45a2ba36f388f0ec316174275556cbd34c2f7f

Observation f77c4324-702e-4ec0-85ed-44ec846ba51b · inbound

Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine cites this paper.

Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 39

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no resolver link, observed 2026-08-07T11:26:31.520177Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:26:31.520177Z digest=sha256:8277faa281e0572e516c89b0a218f38ae20a76906080f42ced15bc9499ab3034

Observation b5b0d599-69e5-47f2-9495-7836b841ec13 · inbound

Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification cites this paper.

Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 61

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no resolver link, observed 2026-08-07T10:44:59.489003Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:44:59.489003Z digest=sha256:a96c3ab91308fe266b33e58423b7888bd5834144e4cf20263f6e8b3257d3191e

Observation 094cce33-edbc-4774-b7e6-68681c8359da · inbound

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems? cites this paper.

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems? Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 59

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no resolver link, observed 2026-08-07T06:08:27.915796Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:27.915796Z digest=sha256:292d7d77f5b3b656ed5b39f1f96a9849ce728cd706d4d7f1258570397d6e78c9

Observation 9f65112d-f25c-4bbd-944b-af4c9112077c · inbound

Mathesis: Towards Formal Theorem Proving from Natural Languages cites this paper.

Mathesis: Towards Formal Theorem Proving from Natural Languages Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 29

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no resolver link, observed 2026-08-07T05:50:38.418249Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:38.418249Z digest=sha256:69cb6aa5e4a1bccd4e7faa0174e6c1c837442749a469791d35c30eac2ea04ea0

Observation a9a9a4f4-9812-4eb0-9fc6-58f53eb32267 · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 99

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no resolver link, observed 2026-08-07T05:14:47.539027Z

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source=pdf_text observed=2026-08-07T05:14:47.539027Z digest=sha256:6d2bfd464aa45128ae48e77d07c97492c714035405a96c007d9cfb10f4447095

Observation 25989c03-2153-4ea7-bc4e-e8c3c34d685b · inbound

Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models cites this paper.

Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 32

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no resolver link, observed 2026-08-07T04:09:11.644389Z

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source=pdf_text observed=2026-08-07T04:09:11.644389Z digest=sha256:1091ae526de382e49e2d95f8fffdd14af1fcb99d5af9d5c32b3c3bfe4c3a050d

Observation bd66d948-1695-4e42-b9fd-cd96345bfaa0 · inbound

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization cites this paper.

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 65

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no resolver link, observed 2026-08-06T19:14:20.720124Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:20.720124Z digest=sha256:42de310c536849ee9f4fc99e0e1be21ca5e6377287ce572727846070d24b6b60

Observation 188e948e-c039-40f1-8f6c-978a23fab82a · inbound

LeanTree: Accelerating White-Box Proof Search with Factorized States in Lean 4 cites this paper.

LeanTree: Accelerating White-Box Proof Search with Factorized States in Lean 4 Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 39

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no resolver link, observed 2026-08-06T15:54:13.108472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:54:13.108472Z digest=sha256:e0c1cfcb2da45238c119a134ae8a098223356e3ab5d29a9c845a2165bc2f689a

Observation bdb59d36-2e4d-46bd-9410-7110491c4aed · inbound

StepFun-Prover Preview: Let's Think and Verify Step by Step cites this paper.

StepFun-Prover Preview: Let's Think and Verify Step by Step Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 10

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no resolver link, observed 2026-08-06T13:47:36.474917Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:47:36.474917Z digest=sha256:9c78b7709e5c4bb2ea2fa548632e6db5fac07e5bad4f3c8f542683b4b2a1c00e

Observation 505c370d-42dd-499c-bfe1-47886082f2f8 · inbound

FormaRL: Enhancing Autoformalization with no Labeled Data cites this paper.

FormaRL: Enhancing Autoformalization with no Labeled Data Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 40

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no resolver link, observed 2026-08-05T16:11:23.269420Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:11:23.269420Z digest=sha256:d7ce835717e6902b961025c11ed8b364b195ee438d2d8599a78287b591a5a3f9

Observation e8e32c9e-7923-42f1-b7ac-189dc1e06648 · inbound

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy cites this paper.

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 57

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arxiv_id, observed 2026-05-13T19:53:11.763631Z

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.

source=pdf_text observed=2026-05-13T19:51:08.304741Z digest=sha256:1c417d08e88596ef2296666aa03bfa1e0f0a2d195773498549eaf64caa55c7c3

Observation 3807d96f-ee74-463c-9388-7478590369f4 · inbound

Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving cites this paper.

Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 10

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verified exact
arxiv_id, observed 2026-05-13T06:12:22.942594Z

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.

source=pdf_text observed=2026-05-13T06:07:29.492413Z digest=sha256:e34fc2717f26acd1b6fed8ad89ea50684805e8a28bca0185036ff64db80cd41d

Observation 9bd13397-86fc-4f50-923f-ef672bc928a8 · inbound

MathAtlas: A Benchmark for Autoformalization in the Wild cites this paper.

MathAtlas: A Benchmark for Autoformalization in the Wild Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 39

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verified exact
arxiv_id, observed 2026-05-15T05:09:44.462780Z

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.

source=pdf_text observed=2026-05-15T05:09:32.268677Z digest=sha256:df6b026ab47cd074e258b93b8e90ea1cb58009402e763c5f2c33f278ccb840dd

Observation 549dd75a-a61a-454b-a91d-d891895099b5 · inbound

Automating Formal Verification with Reinforcement Learning and Recursive Inference cites this paper.

Automating Formal Verification with Reinforcement Learning and Recursive Inference Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 84

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arxiv_id, observed 2026-06-28T23:52:49.173721Z

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

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:656b3b640570bda891da71b0e38520daf59225e8cf307a66843ecddc7f254bc1

Observation 0c63cc55-e167-4821-87f7-e4708974d0ff · inbound

A Theoretical Framework for Self-Play Theorem Proving Algorithms cites this paper.

A Theoretical Framework for Self-Play Theorem Proving Algorithms Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 50

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arxiv_id, observed 2026-07-01T22:16:16.406601Z

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.

source=arxiv_source observed=2026-06-28T15:34:31.689776Z digest=sha256:542af4a572785716d837502fb0b0e795d50dd01df99bef629523c58538b2bbdc

Observation fd3279eb-da51-467e-b3d3-6e2f02669f48 · inbound

LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization cites this paper.

LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 34

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arxiv_id, observed 2026-07-02T08:36:48.800152Z

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

source=pdf_text observed=2026-06-28T05:48:56.691155Z digest=sha256:6d65d7e2904f299b3f26e5ade23ae828824004ac65dc63a67ad6a7514f15f1fd

Observation 6ae9b20e-a701-4652-920f-652ea83d624b · inbound

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics cites this paper.

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 41

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verified exact
arxiv_id, observed 2026-07-03T01:47:31.554881Z

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.

source=pdf_text observed=2026-06-27T16:19:11.123994Z digest=sha256:d959542c47592c7383ec17e434d8a1b3e67bcbb5b574e0b4e8aa2df67046a216