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Paper Citation Record · LEDGER

MetaOpenFOAM: an LLM-based multi-agent framework for CFD

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2407.21320.

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

pith.paper-citation-record.v1
2407.21320 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:19:54.001525Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
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 b302f6d4-0395-40da-a757-e02e78fa5d94 · inbound

Using Large Language Models for Parametric Shape Optimization cites this paper.

Using Large Language Models for Parametric Shape Optimization MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:54.001525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:54.001525Z digest=sha256:4f9b9a43ef8efe53c5347889a103ba5e8ac9727e1953be83b316caa786639b12

Observation f355f4e6-7a56-4e6a-b2d8-a36d594cb9be · inbound

LLM Agent for Fire Dynamics Simulations cites this paper.

LLM Agent for Fire Dynamics Simulations MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.852615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.852615Z digest=sha256:2619f96b5b75debe2bb934dbde78485b3bcaf547385ddd76daad43d8d69ec266

Observation 5a19f930-8a69-4d7e-bbbc-72bc713c4692 · inbound

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

CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 14

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verified exact
arxiv_id, observed 2026-05-18T15:06:32.019343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T15:05:37.519850Z digest=sha256:14a0010c0a8fdb0d5422b9de3be9f221b65d3c2b903d03b64591d1511ba7a28f

Observation 0c7da91f-032d-4695-a311-70b094605058 · inbound

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods cites this paper.

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T15:51:05.278107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T15:49:36.623425Z digest=sha256:fd397cf4c176054024236ea34fb8e3c518a180f5df90172064ade9e1447cfc47

Observation b33e87b5-ad66-48c5-9558-9fc0655597a0 · inbound

COSMO-Agent: Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration cites this paper.

COSMO-Agent: Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:20:48.646238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T19:57:03.368268Z digest=sha256:a30f48ffb24c6498b51efe8234dbc452fb21879ec6e93bcfec8524f5f7df45a5

Observation 9da81469-106b-4052-8ae4-b17c94e770e7 · inbound

TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design cites this paper.

TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 18

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verified exact
arxiv_id, observed 2026-05-11T05:16:02.267815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T18:14:38.180193Z digest=sha256:f6ac8c9e3e96d1005c17a8105f624653449e8cd6c15f18d31c469904b844eeab

Observation 8761ff97-3174-4889-8fde-5a4491a86895 · inbound

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents cites this paper.

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:34:25.617869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T05:49:04.698675Z digest=sha256:740d887eb03c2ef31526c1084ce1ac05e34d769fe8819fd91fdba83096cb28b4

Observation 62c50f99-db3e-4288-8c16-49c282de99bc · inbound

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents cites this paper.

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:10:53.266716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T02:05:57.854868Z digest=sha256:8042fcd2a36aa79e8796e668cc71aab00e1a885d11c358cfd4921fe48777e0e5

Observation 311cf059-6cdf-40e7-bcd9-019488dc5607 · inbound

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents cites this paper.

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-14T22:03:01.719743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T22:02:47.160731Z digest=sha256:be0b3ebdce08001e38282d1d2c3ebd21a2efd1bbd2aee7c63625c2dc867eb1de

Observation 7d3d6be8-773f-40e1-8eb1-fd8b0d0b65bb · inbound

Agentic AI for Particle-Based Simulation: Automating SPH Workflows for Debris Flow Modeling cites this paper.

Agentic AI for Particle-Based Simulation: Automating SPH Workflows for Debris Flow Modeling MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:06:27.631353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T04:33:49.698842Z digest=sha256:84aadab3a21e8e3f4fc8753c4b1fa25e77db3a834eb0ae41484798ad44ff8e0d

Observation 2b494808-2b3f-4086-a990-1d33f2adfa77 · inbound

Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code cites this paper.

Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:56:21.841618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T03:54:47.156626Z digest=sha256:93ffcf725a374d98a25525ce989ef9d9f638db8db139476fa9d47cafde6f60ff

Observation d834e137-d75b-40d4-86f0-754606e294b2 · inbound

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science cites this paper.

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:38:12.200886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T10:36:09.724234Z digest=sha256:8b6f70418548a3197da060bfdb18222c1107a3d48a6a94b508c498f678b5da76

Observation 480cff6f-c98d-4621-b9a1-79a8cffb913b · inbound

Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration cites this paper.

Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:34:07.587090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T10:30:58.506286Z digest=sha256:bb76a876ee5969c89b4fa28aa04840ff8ea591d03100cb8b2b98dbd6362f7833

Observation f8272739-932f-4400-b816-aed0cdbbe08f · inbound

A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics Problems cites this paper.

A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics Problems MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:33:31.048687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T06:38:14.902916Z digest=sha256:6e5cd8a9039e2f95e5738cd3d444a9c306e8642d59dac1f24e2acef2bdbae907

Observation 2f097fe3-5fac-4947-ab5c-6718f2e03d59 · inbound

PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning cites this paper.

PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:23.542153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T19:58:16.955786Z digest=sha256:e454aa65bb36f7f1265eacf4ddd05b8121ea05b20d3d705c3bf7ede6982ba597

Observation d97e336f-f659-4beb-a128-cbc09947b0fa · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:47:32.180163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T16:14:26.278017Z digest=sha256:6b2adcd65957225afec4249f22c9c254c106b3d29837a9d5e79fca9c5d0dcc4c

Observation 8c3de851-5bbd-4320-98fe-6f797ff5fa93 · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:23:32.994462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-29T05:25:29.078764Z digest=sha256:0d668a3c698ca1efbc74061e0bf5dfce69d74f4832bdf99e1965be25e18ea833

Observation 468e476d-4fcd-4033-98d6-8d34ce9e85eb · inbound

A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS cites this paper.

A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:45.420849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T11:17:20.714575Z digest=sha256:62fbfc8b2f766f2fcc16cac00ba0022ba657bf94c4d49307fd11a0b6cbd3beb2

Observation 131d53f2-4038-48b2-8237-b6c507390503 · inbound

False Summit and Silent Drift: A Failure Taxonomy and Efficiency Analysis of LLM-Assisted Multiphysics Simulation in an Open-Source Framework cites this paper.

False Summit and Silent Drift: A Failure Taxonomy and Efficiency Analysis of LLM-Assisted Multiphysics Simulation in an Open-Source Framework MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T11:19:23.359985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T11:19:07.104861Z digest=sha256:ec864d027e14109d44e174f5ddc39b8549a403ef2829f35012a591eeac92fac8

Observation 1c891d62-4b95-4ffc-af7c-67d7f7aa767f · inbound

False Summit and Silent Drift: A Failure Taxonomy and Efficiency Analysis of LLM-Assisted Multiphysics Simulation in an Open-Source Framework cites this paper.

False Summit and Silent Drift: A Failure Taxonomy and Efficiency Analysis of LLM-Assisted Multiphysics Simulation in an Open-Source Framework MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T10:40:05.735279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:40:05.735279Z digest=sha256:1971f77deb6597327fcd323d2ec54f21e5d56506e5b5a78a7d988497f508a74b

Observation 26279d89-94a5-495a-8f10-c49953b0e576 · inbound

PHITSBench: an execution-scored benchmark for AI-assisted PHITS radiation-transport input generation using natural language cites this paper.

PHITSBench: an execution-scored benchmark for AI-assisted PHITS radiation-transport input generation using natural language MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T15:42:46.891891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:42:46.891891Z digest=sha256:25c4ce6157c61c859405f643399368c76bdf8c445373d8d4d6cdeda0ba084caa

Observation 1a55b5cc-3704-4caf-94bd-18814d579698 · inbound

Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards cites this paper.

Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-14T11:28:23.511747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:28:23.511747Z digest=sha256:0940d4eb1a0acaa5a3b7e6f8b3fbdc70a2d5d286b219fea2f093967c0d03398d

Observation ac54da3b-77ec-4745-a829-7a4c6201f582 · inbound

IteraSim RAG: A Multi-Stage Retrieval-Augmented Agentic Back-End for OpenFOAM-Based Computational Fluid Dynamics cites this paper.

IteraSim RAG: A Multi-Stage Retrieval-Augmented Agentic Back-End for OpenFOAM-Based Computational Fluid Dynamics MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T10:10:43.171040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:10:43.171040Z digest=sha256:422764bfa674ef04a77965b0953810b18491f6518997ad94d68996410a8e273c