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Paper Citation Record · LEDGER

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.17352.

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

pith.paper-citation-record.v1
2607.17352 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:17:14.039755Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 8d6dde64-5196-438c-aa36-4633bfbad10e · outbound

This paper cites an unresolved cited work.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-01T18:17:10.590343Z digest=sha256:f94a292780330aad29776474a3d7148237b3356afb5f61c247ae7892ec3a64fd

Observation ea2d013a-5f14-4038-874e-25f7eb5f2f65 · outbound

This paper cites Brant and Kenneth O.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Brant and Kenneth O

Reference 2

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source=pdf_text observed=2026-08-01T18:17:10.677567Z digest=sha256:aefbd7693e73ad1b3266738aea80da0727dd4a4ef8c2945a0dd513a19a03fe4f

Observation 17cdf9fa-46f0-49fc-8c1b-031484686e6e · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution AutoAgents: A Framework for Automatic Agent Generation

Reference 3

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source=pdf_text observed=2026-08-01T18:17:10.748889Z digest=sha256:a1795eb46dc844e99cf98192d99497380682d755b1038f395b73dc861c6a31e3

Observation 872d2dd4-bfaa-47d1-bc7e-c70a98d130b8 · outbound

This paper cites Multi-agent evolve: Llm self-improve through co-evolution.arXiv preprint arXiv:2510.23595, 2025.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Multi-agent evolve: Llm self-improve through co-evolution.arXiv preprint arXiv:2510.23595, 2025

Reference 4

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source=pdf_text observed=2026-08-01T18:17:10.815564Z digest=sha256:abab041d577c8a5c88126e7c5e5caf43657dea599d5014f79e573f6e982a1645

Observation 2ac26462-a68a-4bd6-8b47-e0d26a0d342e · outbound

This paper cites Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement

Reference 5

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source=pdf_text observed=2026-08-01T18:17:11.021412Z digest=sha256:c8b33e588a9f86fdfb91b16c339c434fc4b9e593a86c179479d100e51b83ff29

Observation 91032b63-f1d7-48b3-a949-a1a46e31deb5 · outbound

This paper cites Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Reference 6

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source=pdf_text observed=2026-08-01T18:17:11.122289Z digest=sha256:c930fed86bfeddc107377929c75f1c13cfb6459ad1545061de297d39727d9bfa

Observation 42d20656-7ee7-4664-9d41-145e2b93750a · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 7

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source=pdf_text observed=2026-08-01T18:17:11.189128Z digest=sha256:601a2ce5230de931c2ed4cbc3b5a19e259da8d826a30e35dd996422e39e5bacf

Observation 289d1cb8-d4ee-487c-9bc1-f98bd5b5ba1f · outbound

This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Reference 8

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source=pdf_text observed=2026-08-01T18:17:11.264171Z digest=sha256:1356c4b49ca4578c895dc76884d49c4331a6d3636d9ad0ff29f276b8cf9399c9

Observation cbed9328-a45d-42e6-8d11-8d7537923a28 · outbound

This paper cites Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators.arXiv preprint arXiv:2512.19682, 2025.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators.arXiv preprint arXiv:2512.19682, 2025

Reference 9

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source=pdf_text observed=2026-08-01T18:17:11.419731Z digest=sha256:33c43df2938043130716825e9fccb34413ad5e4e6d0feaca98255ce1b4d4c99d

Observation 6ef04483-f1f9-49b4-8d6e-93a87dd9cdf0 · outbound

This paper cites Automated Design of Agentic Systems.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Automated Design of Agentic Systems

Reference 10

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source=pdf_text observed=2026-08-01T18:17:11.492813Z digest=sha256:67114ce3b30f8c9c91735e879ad3743855b36bcbaf351a4dd716a0f0453a798c

Observation b2c53319-355d-4f79-acb1-c79ae3a8eb3d · outbound

This paper cites DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality

Reference 11

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source=pdf_text observed=2026-08-01T18:17:11.558963Z digest=sha256:6e9f180c70654f22e214fe01def21b5b4cc77d37a5f4414d926057137fd8254a

Observation 7bc55186-94ea-47fe-9f88-03f92a1af486 · outbound

This paper cites Horváth, Goran Žužić, Eric Wieser, Aja Huang, Julian Schrittwieser, Yannick Schroecker, Hussain Masoom, et al.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Horváth, Goran Žužić, Eric Wieser, Aja Huang, Julian Schrittwieser, Yannick Schroecker, Hussain Masoom, et al

Reference 12

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source=pdf_text observed=2026-08-01T18:17:11.640545Z digest=sha256:061c2d82199488925ef448d3db0eca02d15c8058647cc65e5eded005342e784f

Observation 53fc5b88-5fdc-4734-a758-354b81ee40e6 · outbound

This paper cites The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators

Reference 13

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source=pdf_text observed=2026-08-01T18:17:11.742773Z digest=sha256:87284185c2a4f1581af4bb62d8f685aa619c89be3c9e5dc9b47a592a03dc04ae

Observation 740185af-08bb-4481-8c85-84129081f66f · outbound

This paper cites Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

Reference 14

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source=pdf_text observed=2026-08-01T18:17:11.832781Z digest=sha256:13fff7abc8a79204aab373829daf3e245fc2f66904bf388023a20c3c75ed7242

Observation 4115b213-8c27-466f-a966-459ae8a35e07 · outbound

This paper cites LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks

Reference 15

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source=pdf_text observed=2026-08-01T18:17:11.918372Z digest=sha256:e79cb3f2d868044f732ee0d2fddba63763ea7bdac0a9db7c2723f8f0d89093ce

Observation cf06c14a-fac6-4bd7-a362-69c599b71fde · outbound

This paper cites Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

Reference 16

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source=pdf_text observed=2026-08-01T18:17:12.012200Z digest=sha256:f309a2ce24312ad0b71d60246aa9982e005ac997540fad5d0b31e043a4d9535b

Observation 3c5610f6-8d6b-4530-8ad6-1a171f59026a · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 17

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source=pdf_text observed=2026-08-01T18:17:12.088095Z digest=sha256:dd316c1394b9ed706588b0646f16031305f561e9a5da28c8808b81c8b53ac62b

Observation a6be0ae8-5fc4-4ec0-a173-550cdf11d2c1 · outbound

This paper cites Generative Language Modeling for Automated Theorem Proving.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Generative Language Modeling for Automated Theorem Proving

Reference 18

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source=pdf_text observed=2026-08-01T18:17:12.170822Z digest=sha256:198702fbcaa7aa1e657bc60b6b4112aef8cf9fda34f8d4668c5d93f4bad6b64b

Observation e7e721b1-0c7c-49a0-ba86-ce7cfc9bc795 · outbound

This paper cites Automatic Curriculum Learning For Deep RL: A Short Survey.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 19

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source=pdf_text observed=2026-08-01T18:17:12.227274Z digest=sha256:88b52398f294daa47b25fc866ea938627561c40052cb017e65800a9155339929

Observation c2b1a05c-a515-4257-b202-383b03145ec2 · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 20

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source=pdf_text observed=2026-08-01T18:17:12.327810Z digest=sha256:c44652adfee018ded70ebad381cb080f5d8dc3eceb5e0e8e044a2df2313466de

Observation 2347a8b2-1d52-46b8-8ec6-b9693bf80ed3 · outbound

This paper cites A Self-Improving Coding Agent.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution A Self-Improving Coding Agent

Reference 21

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source=pdf_text observed=2026-08-01T18:17:12.455425Z digest=sha256:44f6996e21cf50fc4e1da24c35300d036fd0fc6ded4fbcec10a44483cf8f1598

Observation 06e72aa2-4ba5-4409-8bc2-45339e133865 · outbound

This paper cites Pawan Kumar, Emilien Dupont, Francisco J.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Pawan Kumar, Emilien Dupont, Francisco J

Reference 22

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source=pdf_text observed=2026-08-01T18:17:12.534858Z digest=sha256:59f4685ce01e7d471c6fd20fa41bcfa3af2b12106732dd404025747a567e2a3f

Observation ea0283a6-15f5-43fa-9050-772246627e7b · outbound

This paper cites Gödel machines: Fully self-referential optimal universal self-improvers.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Gödel machines: Fully self-referential optimal universal self-improvers

Reference 23

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source=pdf_text observed=2026-08-01T18:17:12.702684Z digest=sha256:6e0fa629ade80e4fd27b6ad51e5cb1d53277e0c91c3cbcf86147fe6a901a2e9d

Observation b3a7fbb2-6280-4b59-8331-b2e04a98bf4b · outbound

This paper cites AgentSquare: Automatic LLM Agent Search in Modular Design Space.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution AgentSquare: Automatic LLM Agent Search in Modular Design Space

Reference 24

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source=pdf_text observed=2026-08-01T18:17:12.763701Z digest=sha256:361903a2287040b8708e378c623d7e69cc213719ceafa8503a4973e9c295df99

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

This paper cites Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean.

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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source=pdf_text observed=2026-08-01T18:17:12.832821Z digest=sha256:27e120df1830b5e271d751825a038be405c064be1c56546cd6ac4d0542b71ae9

Observation a2d29073-494a-47f2-92b9-19a902132e44 · outbound

This paper cites A Survey on Self-Evolution of Large Language Models.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution A Survey on Self-Evolution of Large Language Models

Reference 26

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source=pdf_text observed=2026-08-01T18:17:12.906376Z digest=sha256:d4d87ddc3177f95403589abcc8734a473b589cdb38d2bf02c96ea928ebdfd065

Observation cbf47e25-73b6-4666-b3e1-3458db8d175c · outbound

This paper cites PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition

Reference 27

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source=pdf_text observed=2026-08-01T18:17:13.005816Z digest=sha256:ef9d9cee483125e6dd176f9e2912ceec83d43be58ac473c291923fc2d7adb3d2

Observation 80c2df8e-7750-44c1-9ddd-057f2176d77b · outbound

This paper cites Vygotsky.Mind in Society: The Development of Higher Psychological Processes.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Vygotsky.Mind in Society: The Development of Higher Psychological Processes

Reference 28

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source=pdf_text observed=2026-08-01T18:17:13.074725Z digest=sha256:d62c7a0128bd05b0c80c0257f42609170e1d42d14f882f1b806f3c7ea2641a76

Observation 7d56ec9d-14fe-4b88-851a-da1425f0cf2f · outbound

This paper cites Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Reference 29

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source=pdf_text observed=2026-08-01T18:17:13.146406Z digest=sha256:2c963a26cf7813d23e2e1729a7f77c6913b79a683eec45801251b084e2630b03

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

This paper cites LeanDojo: Theorem Proving with Retrieval-Augmented Language Models.

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

Reference 30

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source=pdf_text observed=2026-08-01T18:17:13.286690Z digest=sha256:1ee6d5acd87473be1439a04414c3d4a5c901ab04a82e22c4488827738c666d2c

Observation e70ad0bc-0a10-41e1-a291-027d67ffaeaf · outbound

This paper cites MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs

Reference 31

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source=pdf_text observed=2026-08-01T18:17:13.394765Z digest=sha256:74b50d2991ee1dff16b6aeba1288e7d22d7bf080b9f125a35cfdfab01c175d15

Observation 0be75658-030b-45dc-9a82-b3ea799a9faa · outbound

This paper cites G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement

Reference 32

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source=pdf_text observed=2026-08-01T18:17:13.501930Z digest=sha256:c467e5dac9f8c8d7fdd3ec57d2b351e36f61ec9177829fe6a31a00a943576445

Observation ee318a50-c48f-4f87-9e74-084417a6e72d · outbound

This paper cites EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Reference 33

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source=pdf_text observed=2026-08-01T18:17:13.579071Z digest=sha256:4da3cd6ee18b07bc82c3e44f3155d906be3eae5d9581ee569dc676f0641d7f69

Observation 38fb5f5e-e68a-46a2-8852-4972ca62dfb1 · outbound

This paper cites Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

Reference 34

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source=pdf_text observed=2026-08-01T18:17:13.669433Z digest=sha256:5497e4caf6b1e700bfaa5f2560c54c28fa88857a9a3449070ce25fa754ebb6cf

Observation f79b4b18-8f8d-4c2c-bfc2-8fb5eadd99e6 · outbound

This paper cites Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Reference 35

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source=pdf_text observed=2026-08-01T18:17:13.739090Z digest=sha256:80b8644d126a384143c1de719e1cbf11d50a02625be825edab258a7616fee9d8

Observation b0e16bad-f7fb-4bbd-83e4-51b9566d4beb · outbound

This paper cites Hyperagents.arXiv preprint arXiv:2603.19461, 2026.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Hyperagents.arXiv preprint arXiv:2603.19461, 2026

Reference 36

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no resolver link, observed 2026-08-01T18:17:13.808640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:17:13.808640Z digest=sha256:ebfec2bee420f6d7a5fa122def0240bda210de522f8950a1b20bed6280505169

Observation a3549eb5-a182-4330-81fc-27b6bf11d7c3 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution AFlow: Automating Agentic Workflow Generation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T18:17:13.889317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:17:13.889317Z digest=sha256:bd96b7bb0b515039848354ef3b3fa2c36ce85ffe527e7d30f3a86b2fb79a73d5

Observation f63fc81c-1d97-40ca-bb73-66265124854b · outbound

This paper cites Minif2f: A cross-system benchmark for formal olympiad-level mathematics.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Minif2f: A cross-system benchmark for formal olympiad-level mathematics

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T18:17:13.975527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:17:13.975527Z digest=sha256:12e04a4f3339eeb4ff00d3484988e742dcfa8dd724c2167e2873982ccedb4335

Observation fdff76e3-2a33-4397-aa61-414c833bc277 · outbound

This paper cites MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-01T18:17:14.039755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:17:14.039755Z digest=sha256:69cd5923fc0ad601ad2110b6f15e3c52e2cc7df3f8b190ccea9ee4c78b186269

Pith citing papers

No inbound Pith citation observations are available.