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Paper Citation Record · LEDGER

Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2404.12534.

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

pith.paper-citation-record.v1
2404.12534 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:00:46.385281Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ca1f596-25df-47e3-ad28-8edc4224c23a · inbound

ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving cites this paper.

ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 22

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no resolver link, observed 2026-08-08T22:00:46.385281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:00:46.385281Z digest=sha256:8082e7eea7f29e37f982f72db29adf3b87a6878f741ddcdb15a6bcb85bb8d637

Observation 574bfd47-e0ba-4435-a615-08905691302a · inbound

ACE: A Security Architecture for LLM-Integrated App Systems cites this paper.

ACE: A Security Architecture for LLM-Integrated App Systems Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 34

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arxiv_id, observed 2026-05-22T18:06:54.318179Z

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=2026-05-22T18:05:50.363944Z digest=sha256:0bc51077f355be075c43fb5cbc1d43ecd26ff6bf845e4eb9850cbd0a0a74438e

Observation 7f219ff0-4158-4bcd-b298-efe06bf285af · inbound

A Neuro-Symbolic Approach for Reliable Proof Generation with LLMs: A Case Study in Euclidean Geometry cites this paper.

A Neuro-Symbolic Approach for Reliable Proof Generation with LLMs: A Case Study in Euclidean Geometry Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 7

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no resolver link, observed 2026-08-07T15:38:29.991017Z

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source=pdf_text observed=2026-08-07T15:38:29.991017Z digest=sha256:323f1a823c52b0c8958c53c64afa5616fbdf04859e56f15750b9455cb7c6184c

Observation 226aec31-16a3-4041-983f-8a6b9b5c846a · inbound

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

Formally Solving Answer-Construction Problems in Lean Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 44

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no resolver link, observed 2026-08-07T14:34:09.274630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:09.274630Z digest=sha256:471d18a0b094dbb3e97134d78bcf1fa25c2aded058ecac32ae46d810e0ed36ad

Observation d9171388-d2d6-4c83-ae09-1f6d9de074cd · inbound

Creativity in LLM-based Multi-Agent Systems: A Survey cites this paper.

Creativity in LLM-based Multi-Agent Systems: A Survey Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 10

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no resolver link, observed 2026-08-07T13:43:23.231851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.231851Z digest=sha256:c2d2db1aa369b2eff54fd6193ff75e410cd55d6a3b43fc658b00dcccde25be04

Observation 9f337a0c-7606-425d-b6bb-c564c4f5521e · 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 Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 34

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no resolver link, observed 2026-08-07T04:09:11.902423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:11.902423Z digest=sha256:aac3d5ccddbca1c49c11ababd599b5e82cccee8870982dba6c41326241de7ba6

Observation ebc41589-957d-40c4-8848-61f0b64f632e · inbound

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? cites this paper.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 55

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unresolved
no resolver link, observed 2026-08-06T22:36:24.521858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:24.521858Z digest=sha256:be208cb97c21bfe1966d3db1c9d8f4d3ba66e6dcf1c35934598e78102714d523

Observation 50cec71e-88b3-489c-bf52-bb635a4a85de · inbound

What's in a Proof? Analyzing Expert Proof-Writing Processes in F* and Verus cites this paper.

What's in a Proof? Analyzing Expert Proof-Writing Processes in F* and Verus Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 22

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no resolver link, observed 2026-08-06T05:55:51.089735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:55:51.089735Z digest=sha256:f41bf56a5664e931d2bcc39defe6a90d085aa780a4ce1cf09c8fad5f4d50f082

Observation b15df685-45db-4452-af46-4f399ce00e9e · inbound

Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics cites this paper.

Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 60

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verified exact
arxiv_id, observed 2026-05-25T07:46:42.199875Z

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=2026-05-25T07:46:30.936002Z digest=sha256:57a255f9ff055c68b9b00a5db07160763042ed5b12ad69eb887ddfc7c6dba831

Observation 9e501d8e-c7d2-4d1b-8e25-3b070218ed56 · inbound

No Certificate, No Categorical Speech Act: A Brouwerian Assertibility Constraint for Public Reason cites this paper.

No Certificate, No Categorical Speech Act: A Brouwerian Assertibility Constraint for Public Reason Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 82

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no resolver link, observed 2026-08-02T19:02:36.225532Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:02:36.225532Z digest=sha256:9b17f2df2faa975d4d3c8a407d1f0f3cddccfe02268ef60ae66dce347733fe09

Observation 53557270-e247-43a1-805b-c2343339963e · inbound

Riemann-Bench: A Benchmark for Moonshot Mathematics cites this paper.

Riemann-Bench: A Benchmark for Moonshot Mathematics Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 14

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arxiv_id, observed 2026-05-11T05:36:00.818601Z

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=2026-05-10T18:02:42.607682Z digest=sha256:3dda6305e7b4f409c119d1fdb99cf287f483874f69353fb498ffbd1f613c8d6d

Observation bf5d5ec5-a6ad-4473-9eaa-7342ad6965b4 · inbound

Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization cites this paper.

Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 15

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arxiv_id, observed 2026-05-15T10:25:26.624855Z

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=2026-05-15T10:24:19.295736Z digest=sha256:ec70b8bbf1cb864c7809ef31c95f4d032af16e7b551edd8c0701d2921bdea056

Observation 5c1def45-bcaf-4083-99c1-37a07c3bd0af · inbound

Deep Vision: A Formal Proof of Wolstenholmes Theorem in Lean 4 cites this paper.

Deep Vision: A Formal Proof of Wolstenholmes Theorem in Lean 4 Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 39

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arxiv_id, observed 2026-05-10T13:45:28.062175Z

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=2026-05-10T13:42:23.422110Z digest=sha256:7b7e8b094d9214e42f1efb6e4a512a2ecb999a9f87a2cf64330d95b42f4f8dc3

Observation cfbfafd3-1218-4234-931c-c581a9f81d85 · inbound

Yanasse: Finding New Proofs from Deep Vision's Analogies, Part 1 cites this paper.

Yanasse: Finding New Proofs from Deep Vision's Analogies, Part 1 Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 20

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arxiv_id, observed 2026-05-10T06:51:46.198419Z

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=2026-05-10T06:48:19.791763Z digest=sha256:ab0f7e75d999727a949b5fde5b920a68cc652630105202091bd36a9a31090449

Observation 15581d90-a049-42c7-b7b7-3d2e896b53c5 · inbound

LiveFMBench: Unveiling the Power and Limits of Agentic Workflows in Specification Generation cites this paper.

LiveFMBench: Unveiling the Power and Limits of Agentic Workflows in Specification Generation Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 28

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arxiv_id, observed 2026-05-11T16:51:09.519810Z

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=2026-05-09T14:35:14.357256Z digest=sha256:953a93fb8a18061501db4197c9f82fcf1b7e872afb403f09099f0696044412af

Observation fb5d7bda-7682-4c1f-9377-15fdc2bbccb2 · inbound

AI co-mathematician: Accelerating mathematicians with agentic AI cites this paper.

AI co-mathematician: Accelerating mathematicians with agentic AI Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 24

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arxiv_id, observed 2026-05-11T20:21:09.180515Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T09:31:55.315364Z digest=sha256:0c89904142b1fa41c3592d3c3d9c89e03c45351f781ed37f078102890c9f16c9

Observation 0f369a7a-b060-4afe-bec7-b3a6f31f9060 · inbound

AI co-mathematician: Accelerating mathematicians with agentic AI cites this paper.

AI co-mathematician: Accelerating mathematicians with agentic AI Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 24

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verified exact
arxiv_id, observed 2026-05-14T21:19:28.618964Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:04:57.852889Z digest=sha256:5ee66d94fa5d7262e4fc53653260c3d005cfa2eff3ece6ed916545cf94d02324

Observation 05123fca-3413-4325-8007-1bab6361eb68 · inbound

Interactive Evaluation Requires a Design Science cites this paper.

Interactive Evaluation Requires a Design Science Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 52

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arxiv_id, observed 2026-05-20T10:58:13.996786Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T10:55:08.135630Z digest=sha256:b68861e422416e41bf0aa184dcc16e040565e60a312a913700548f6c8d27a168

Observation 264e3b84-8698-4ac2-9fa7-6747c62e3d81 · inbound

Automating Formal Verification with Agent-Guided Tree Search cites this paper.

Automating Formal Verification with Agent-Guided Tree Search Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 86

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arxiv_id, observed 2026-06-29T15:03:31.428167Z

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=2026-06-29T14:54:59.333847Z digest=sha256:b2ddcd7a84e8d75eba3e46411b89439d2a8fd322f79b1e8c32cc2156d4b3bb12

Observation b5bffaab-3551-42b9-824f-e10d22260006 · inbound

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

Automating Formal Verification with Reinforcement Learning and Recursive Inference Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 130

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arxiv_id, observed 2026-06-28T23:52:49.184384Z

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:f364d3513b726bf60432eba9c9535e5521fe03656297cdbe3cea3204d482f16a

Observation f630ca6e-f1dd-45d2-bde9-adfadad29eff · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 76

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arxiv_id, observed 2026-07-02T22:47:26.022794Z

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=2026-06-27T18:39:44.696961Z digest=sha256:b317af6c905d6bb498496eb1abe8e2836b8eb42e6e8fa5a969d6b1a204c31a32

Observation f1333012-fd56-4840-a5a7-c30e8fa32553 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 76

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no resolver link, observed 2026-08-02T12:05:10.068429Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:05:10.068429Z digest=sha256:b00d9a37c3dbad16bdc490f483e451ce209a9514e80f9288f6962891b6fd0d73

Observation 718a7bf5-0630-4a41-8e44-79bb8a560476 · inbound

A Neurosymbolic Prolog Skill for LLM-Driven Service Placement cites this paper.

A Neurosymbolic Prolog Skill for LLM-Driven Service Placement Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 16

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arxiv_id, observed 2026-07-03T07:47:45.192386Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T11:43:57.602045Z digest=sha256:6a9cc8f357b5ff4d8c7e0a85687f3bd26b33a9877b1b676a7aeb86337a40906e

Observation fbf29544-68bc-488a-8dab-7f4d01d733e2 · inbound

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory cites this paper.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 26

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arxiv_id, observed 2026-07-02T08:36:48.553589Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:9683796cf549369ac80868115cfa14b4eb81e71df09dd67c10e8aeb6c0a32d68

Observation b0a45d9c-c4cb-4790-99e6-927aa64b2620 · inbound

LAMP: Lean-based Agentic framework with MCP and Proof Repair cites this paper.

LAMP: Lean-based Agentic framework with MCP and Proof Repair Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 34

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metadata mismatch
arxiv_id, observed 2026-06-30T08:44:27.786308Z

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=2026-06-30T08:35:40.617232Z digest=sha256:3f134ffacf4d5c87f533f75801c75ea98a8f982955b42b1e8ce1a091077cab17

Observation 31c2dc5f-6b95-485d-a0f3-c40e3363b86e · inbound

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution cites this paper.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 25

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no resolver link, observed 2026-08-01T18:17:12.832821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:17:12.832821Z digest=sha256:45d42222a0f47b9f67b3d76d8df844968c6a5639bd383c939fc13d6eb77c2a8a

Observation c31a492d-5592-4d7b-b46d-f0e888e8f461 · inbound

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference cites this paper.

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 40

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no resolver link, observed 2026-08-01T04:34:00.300256Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:34:00.300256Z digest=sha256:7f18d9aaaf7be52a58c603bb2100004f8f828d676f4cffffb515841301944217

Observation 62928011-7b1d-459c-b4a7-3b8f014c1285 · inbound

CircuitProver: Agentic Lean 4 Theorem Proving with Reusable Circuit Proof Library for Hardware Verification cites this paper.

CircuitProver: Agentic Lean 4 Theorem Proving with Reusable Circuit Proof Library for Hardware Verification Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 42

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no resolver link, observed 2026-08-01T15:51:25.873891Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:51:25.873891Z digest=sha256:3eb671d5fc5801aa1a486025f2035eb757a3d2e8acba39b736aa73937c959a6c