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Paper Citation Record · LEDGER

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2306.15626.

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

pith.paper-citation-record.v1
2306.15626 v2

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 2026-08-08T06:32:00.761636+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:00:46.408367Z

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

38
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 83de4696-97d1-4744-860b-9c05d394b9af · 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 LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T22:00:46.408367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:00:46.408367Z digest=sha256:748897cdc908a0d41e9f19f613d6e02a9fcca5ddd7395eed3175aab0b62a1677

Observation e7ee48a7-c8b0-4823-86e0-c69a041c41a6 · inbound

Lean-auto: An Interface between Lean 4 and Automated Theorem Provers cites this paper.

Lean-auto: An Interface between Lean 4 and Automated Theorem Provers LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 37

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no resolver link, observed 2026-08-07T15:33:44.936153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:33:44.936153Z digest=sha256:0effe5212c1e0512ad6a4fa9beac1d81d22546ad93b00609d0aa9c9fd7eb1f60

Observation e4a6a502-d1f5-4e57-89ed-ca87eca02e5d · inbound

DINGO: Constrained Inference for Diffusion LLMs cites this paper.

DINGO: Constrained Inference for Diffusion LLMs LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 30

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no resolver link, observed 2026-08-07T12:58:38.385754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:38.385754Z digest=sha256:a1c10d4500f233fa8fda1a415937bb785e87d6016ac2b841322ae27d20759c0b

Observation 1d0d0b32-4316-4192-aeff-b148aa2ea300 · inbound

Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning cites this paper.

Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:18:36.682669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:18:36.682669Z digest=sha256:4c0ffe6c508c96da483e370f51ff38dcd31d8f691b05832ecde0c1b987e8ad00

Observation 40d049cf-7a87-4a18-90ad-be1d7e79ddf6 · inbound

The Search for Constrained Random Generators cites this paper.

The Search for Constrained Random Generators LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:15:21.775147Z

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.

source=pdf_text observed=2026-05-17T22:14:38.898617Z digest=sha256:f781b8a1039a4cecb3b9d00cf39fd11620a5ef5eb2fd9643706fb875dd03c45b

Observation 7619f6cd-3f18-4f83-8b7c-9397ebd10a1e · inbound

Grain Theory: Type-Level Granularity Correctness in Data Pipelines cites this paper.

Grain Theory: Type-Level Granularity Correctness in Data Pipelines LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T13:03:22.542996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:03:22.542996Z digest=sha256:e02d9eac746877669d3af7ce6098aeab7e553b56a200934d23be816eb1c7beda

Observation 7605dc70-6152-4615-b3bf-ce01dd750c9a · inbound

A Minimal Agent for Automated Theorem Proving cites this paper.

A Minimal Agent for Automated Theorem Proving LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-15T18:46:28.983082Z

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.

source=pdf_text observed=2026-05-15T18:44:35.600033Z digest=sha256:17e55051fc29ef3c3152aa7d87d4eb766fc5f1e4dd4d082bf6ee6cbb33e91ef3

Observation 96b42f74-4671-42c3-8289-846a3b9261eb · 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 LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:53:11.746500Z

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.

source=pdf_text observed=2026-05-13T19:51:08.304741Z digest=sha256:dbda48da2300ed8f6a9ea3d54b887d9321c046458c554db2e259478f1c909f6d

Observation 60b77d3c-c78c-421d-be63-8f820006c467 · inbound

ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning cites this paper.

ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 31

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arxiv_id, observed 2026-05-11T00:15:51.827673Z

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.

source=pdf_text observed=2026-05-10T18:38:34.138545Z digest=sha256:de95eb6c44a6a6a55f613e43a5a4c5bf1c74f8c7a160720ee7f03a368407e1ea

Observation 1ce8a4cf-64ba-40c2-b2a6-3e462d37046d · 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 LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 21

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verified exact
arxiv_id, observed 2026-05-15T10:25:26.587436Z

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.

source=pdf_text observed=2026-05-15T10:24:19.295736Z digest=sha256:a7c76502cf3ec70de54a6777b2af3c35a38c8e2d0a43457dd99eac5fe2b5e4ac

Observation 50624d5c-541b-4024-9b32-0304c5b84f68 · inbound

pAI/MSc: ML Theory Research with Humans on the Loop cites this paper.

pAI/MSc: ML Theory Research with Humans on the Loop LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:51:03.238187Z

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.

source=pdf_text observed=2026-05-10T00:00:02.883095Z digest=sha256:efed57c5cd0c35fe915406b173f69e79279b2aee9ff9f573ad3a5b1eb690ae91

Observation 2f47d94b-c154-4f56-bf6d-cfc86f376798 · 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 LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 26

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arxiv_id, observed 2026-05-11T16:51:09.539049Z

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.

source=pdf_text observed=2026-05-09T14:35:14.357256Z digest=sha256:1b1b6456991198d440f3b234d67321c858e9deb56be3c536867d27d93cdf5d79

Observation 4a5a0b51-8f88-4903-ba8c-556139243930 · inbound

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems cites this paper.

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 60

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verified exact
arxiv_id, observed 2026-05-25T04:55:23.778258Z

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.

source=pdf_text observed=2026-05-25T04:52:06.456555Z digest=sha256:696077214e2ccb729c2cdeb97e3aac56d217acf8168394f509513bf87b4d28e5

Observation eb6a51ea-e6cb-4eb0-92a2-8e47ba8c9565 · inbound

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

Automating Formal Verification with Agent-Guided Tree Search LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T15:03:31.398278Z

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.

source=pdf_text observed=2026-06-29T14:54:59.333847Z digest=sha256:b381fe9a59c09918df31bd474a2d652837618d008c024ac5c7bf989993f9ac34

Observation e5fb54e5-679d-489d-b66d-ffbba6fb3927 · inbound

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

Automating Formal Verification with Reinforcement Learning and Recursive Inference LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 51

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arxiv_id, observed 2026-06-28T23:52:48.502260Z

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.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:bb18c66b13f04e33c4a08639bd1eb85dca1dccc8d003864589afb4e0d13c7b97

Observation c28ee339-c3b9-4455-8229-be3716439557 · inbound

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

Automating Formal Verification with Reinforcement Learning and Recursive Inference LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 129

Resolution
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arxiv_id, observed 2026-06-28T23:52:49.167867Z

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.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:7db542deba0e5c9740c9b42063e4f0da0eefcd869f74e1d817540b940e6428fe

Observation 349898ff-6683-43cb-ac59-59532eb2455f · 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 LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 33

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arxiv_id, observed 2026-07-02T08:46:48.873573Z

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

source=pdf_text observed=2026-06-28T05:48:56.691155Z digest=sha256:bf4d6578341664333b6580b2aa1d3ae2d0c6e45918d973e44d8ac2bf4b43147a

Observation c64d306d-4f3f-4f7c-b09d-71e8c0cff3c7 · inbound

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

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:47:31.589324Z

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.

source=pdf_text observed=2026-06-27T16:19:11.123994Z digest=sha256:1f8a5ca2dac6e24337635eba5f51e960e1ea4a6c6cab9872e37efc8b1e23e2a1

Observation 08f8f8a9-2fef-4760-ae4e-977df1854686 · inbound

TheoremGraph: Bridging Formal and Informal Mathematics cites this paper.

TheoremGraph: Bridging Formal and Informal Mathematics LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:10:07.108434Z

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.

source=arxiv_source observed=2026-06-25T20:45:54.867101Z digest=sha256:99f37be567d22874687dbaaa22fa7aa2ab5bb11a668b95f92fb1359e83fa87b3

Observation 239c7380-f58c-4f79-b5a5-e34fc19c908e · inbound

A Machine-Verified Proof of a Quantum-Optimization Conjecture cites this paper.

A Machine-Verified Proof of a Quantum-Optimization Conjecture LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:44:19.052155Z

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.

source=pdf_text observed=2026-06-30T06:40:20.723937Z digest=sha256:131776cdf57cca0f3c025b8442dae7ab75b4c84181401055bc68427da85b85a0

Observation 964ca1eb-9abb-4375-b0db-6537246cc2d4 · inbound

AutoCedar: An Agentic Framework for Verifier-Guided Access Control Policy Synthesis cites this paper.

AutoCedar: An Agentic Framework for Verifier-Guided Access Control Policy Synthesis LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 20

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no resolver link, observed 2026-07-12T00:53:42.929719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:53:42.929719Z digest=sha256:c321feb484242019fd1e0ee9949c0ee59d67c0480da8fee95d6163520c083628

Observation 905845d0-a904-4239-a589-527341e5e991 · inbound

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

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 30

Resolution
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no resolver link, observed 2026-08-01T18:17:13.286690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:17:13.286690Z digest=sha256:7250d33fc02ea13f1fee0c34f8ce6d22bbf954e78832d68b6b412694fa28ff48

Observation 2fd7d892-83ba-4b90-9d27-6deaa0cd9886 · inbound

LeanFlow: A Case Study in Workflow-Driven Lean Autoformalization cites this paper.

LeanFlow: A Case Study in Workflow-Driven Lean Autoformalization LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:59.411871Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:59.411871Z digest=sha256:c869da9a0b070aa428322608fbdee7c8e0bbc9e6c82ef3f293a1fddc63d0a21d

Observation 4ba2b003-82ff-4631-b7c5-caeba2ec90a2 · inbound

TLA+-Bench: An Execution-Grounded Benchmark and Dataset for Natural-Language to TLA Specification Generation cites this paper.

TLA+-Bench: An Execution-Grounded Benchmark and Dataset for Natural-Language to TLA Specification Generation LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-30T22:39:33.977915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:39:33.977915Z digest=sha256:f3aa9491cf8ff4e1c564f5829259a5a5c52a3b6deb6199e57d567e5aed0c5061

Observation 4620c3aa-e65a-4acd-8d7e-dd4bf8294fc8 · inbound

DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory cites this paper.

DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 4

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unresolved
no resolver link, observed 2026-07-30T17:40:24.833833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:40:24.833833Z digest=sha256:8bd448d7fc86867bbf635093c4d43d7194e06152df89bcd57358bb1180f6b170

Observation 46c54835-3f18-4ca7-bc95-48f318f507a4 · inbound

DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory cites this paper.

DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T01:54:50.130723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:54:50.130723Z digest=sha256:da3de0327616f11167aa871ba84f8f6b7c16db65ad129445c3f44ba8fa022984

Observation 0bdc1964-7689-4738-bf1c-39aa91d46644 · inbound

Albilich: Steerable Proof-State Orchestration for LLM-Based Mathematical Research with CAS Integration cites this paper.

Albilich: Steerable Proof-State Orchestration for LLM-Based Mathematical Research with CAS Integration LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 2023

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unresolved
no resolver link, observed 2026-08-01T03:02:28.724023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:02:28.724023Z digest=sha256:95b72017dd238ec3b62b1e949b882428fa851cbeca3f9c0ea81cad3d21f82c5c

Observation 40a66fa7-95b9-44bf-ba4b-b8201b450450 · inbound

An AI Approach to Verified Production Cryptographic Libraries cites this paper.

An AI Approach to Verified Production Cryptographic Libraries LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T00:43:18.120570Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:43:18.120570Z digest=sha256:6f5add66be4134d54c01a3701fa8d3120d9fd53a33cbb892c2ea4e050a77862a