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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:10.073644Z

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

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Pith citing papers

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:10.073644Z digest=sha256:4859862b1e6db544467fea023a3ac21deb56e66c902e747c18e6eac18de2b779

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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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:10:14.812539Z digest=sha256:542f612fcac56bc691031ce29b6564404854e3f627870a3b3f729c0670c1d74c

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=sha256:7101342eb0c56a3b40351ac58c48bf58e624d1c7111e173732f5697c61d414eb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:26:31.520177Z digest=sha256:4976bbe1c2ccb680efb555210332e49ac0b759e5f1bdf864d5a3c59db0bdfdc7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:44:59.489003Z digest=sha256:25a3164211fe81f16d1f020b68f3c7c2b42aeb09c8ad365e680310381ce480ec

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:27.915796Z digest=sha256:fabfeb584751d8034407afee493a56a5e388d6ef23aa0c1b77a32398c42b53ec

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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unresolved
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:d107325124787ed1c5645ebabc95e3f43f7c82848720c50a834beaccee3ac30b

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:47.539027Z digest=sha256:ec81cb664a7e1f55a1c1c19f719b0d9ac57693a0896c59b56d9f95200f6d1d2b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:11.644389Z digest=sha256:e88c283e082e2212899f85a854e0323e279c69f23eda6c8f80f931fe5fb21c6c

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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unresolved
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:b7e62f7b7031b17c7f0a0092a7238fd763ffb1b5615cdd6f14aca3fc9902d9de

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

Resolution
unresolved
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:ec2d06b1d82d55a352b494af1313bf15a4b006ecef5ac346f33203bc41935fb0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:47:36.474917Z digest=sha256:13ef5fc4298e539e79669fb91ea3bbcb9ec4d3eb8d2e2f30302b3d2e1dafd467

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:11:23.269420Z digest=sha256:3e27e727932a204bc2fe266bbf9edd58aba5281042a5473bf0c74575830da73e

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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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T19:51:08.304741Z digest=sha256:de9f64389c6bc7e1d47d94675303fa5cf116506155f43b438225eb2842b52b71

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T06:07:29.492413Z digest=sha256:88c67da2f51998b3a17ca421ad375f573a8e6a4ce34fb10d6f9c4acbab00ef0a

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:09:32.268677Z digest=sha256:69afa84f4a6fc93ac9ed198d4a289397ae3fb2d917f9dc5134d8f3c778d25c14

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

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.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:57e822a677e1cc26841f8d96c6426fe35431bd61044e416137c0b3c2e12f6312

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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metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T15:34:31.689776Z digest=sha256:8b1e7b45d7bf1f95f39555e9de7fbdb4ec8c1a6669b6f657b9674e219022e33a

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

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

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.

source=pdf_text observed=2026-06-28T05:48:56.691155Z digest=sha256:a92c92f5565f6b643623ba86d226ff73e82246eaed7bbde26524d154344cc409

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:19:11.123994Z digest=sha256:6db73fdf0b89da4f0fc66cb9cc291d34cd8a9bbb9f5b04f98ba91410b6609542