Paper Citation Record · LEDGER

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.00003.

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

pith.paper-citation-record.v1
2608.00003 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:03:09.650092Z

measured 17 of 17 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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9246e7f-3603-488f-9d55-e1e6670f479c · outbound

This paper cites A tensorial approach to computational continuum mechanics using object-oriented techniques.Computers in physics, 12(6):620–631, 1998.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent A tensorial approach to computational continuum mechanics using object-oriented techniques.Computers in physics, 12(6):620–631, 1998

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.272153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238e7b9f-ac52-44ff-845c-a9680db5659a · outbound

This paper cites Butterworth-Heinemann, 2015.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Butterworth-Heinemann, 2015

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.342282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb6b2f3-3576-45f2-881d-08d8980d6012 · outbound

This paper cites OpenFOAM: The open source cfd toolbox.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent OpenFOAM: The open source cfd toolbox

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.452588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e270fc-d21e-49b9-994c-559cf7275ef2 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.554054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20effd8-f38c-48ee-a274-efeb8b5e9d9a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent LLaMA: Open and Efficient Foundation Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.668167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cae1728-9dae-4bee-8546-6a1a10651b82 · outbound

This paper cites Qwen2.5-Coder Technical Report.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Qwen2.5-Coder Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.766297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d23e22-6bf8-4deb-98fa-10f9643cd4ae · outbound

This paper cites Qwen Technical Report.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Qwen Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.874995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b18ca5-609e-433e-b6d1-407c4709fbda · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:08.991399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0bf143-401e-43d5-a406-40ecb6a73fa2 · outbound

This paper cites Foamgpt: Fine-tuning large language model for agentic automation of cfd simulations with openfoam.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Foamgpt: Fine-tuning large language model for agentic automation of cfd simulations with openfoam

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.078125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec9e9efd-35a2-4e41-a8f5-8a90ecc08e46 · outbound

This paper cites Openfoamgpt: A retrieval-augmented large language model (llm) agent for openfoam-based computational fluid dynamics.Physics of Fluids, 37(3), 2025.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Openfoamgpt: A retrieval-augmented large language model (llm) agent for openfoam-based computational fluid dynamics.Physics of Fluids, 37(3), 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.122170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e18f928d-9856-4aff-b4c4-7e02040b0176 · outbound

This paper cites Foam-agent 2.0: An end-to-end composable multi-agent framework for automating cfd simulation in openfoam.arXiv preprint arXiv:2509.18178, 2025.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Foam-agent 2.0: An end-to-end composable multi-agent framework for automating cfd simulation in openfoam.arXiv preprint arXiv:2509.18178, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.130098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e8b18a-3967-4d9a-8830-b92b18efeaac · outbound

This paper cites CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.185038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e71164c-fbea-4aa8-a7e7-4dff5968cb9b · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Efficient memory management for large language model serving with pagedattention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.240825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155d842d-4961-4535-b576-8034ee1c19be · outbound

This paper cites Xgrammar: Flexible and efficient structured generation engine for large language models.Proceedings of Machine Learning and Systems, 7, 2025.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Xgrammar: Flexible and efficient structured generation engine for large language models.Proceedings of Machine Learning and Systems, 7, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.434668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a52d31ed-ad31-4a2b-a589-6e105af85627 · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.522178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada513c3-a15f-48b5-bd62-9aa22b5639b8 · outbound

This paper cites Chroma: The ai-native open-source embedding database.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent Chroma: The ai-native open-source embedding database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.565250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac9a6d1-aa22-417d-a5c5-a5c4d134e084 · outbound

This paper cites High-re solutions for incompressible flow using the navier-stokes equations and a multigrid method.Journal of Computational Physics, 48(3):387–411, 1982.

AutoFOAM: The Self-Refining Autonomous OpenFOAM Agent High-re solutions for incompressible flow using the navier-stokes equations and a multigrid method.Journal of Computational Physics, 48(3):387–411, 1982

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T05:03:09.650092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.