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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

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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:a7e4d510257caa38bcfd4f97b6777a48ecb5f76ce2f0fb346b875dfccde66aab

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

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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=sha256:785c6ec1af0384db445796ceddea73e24c20c553412e2782e244559d1bad5524

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=sha256:06122568fb04dbe67e22df3f606640180867481062659ba63838994f5a8c085a

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

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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:e874ec4717dd77f39a91e4a57dc3c6d09e2ab2020921652cc22c8fa350adf354

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

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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:df475108f41be7f716d2b3d8c0cf8af48920c3c69cda5fcd96e1e42cbc315d2e

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=sha256:5f7378e66ea599d84bb102e92af0b40a07b1f538877c12510794090b1ab62ead

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:b20caa37069b2eff151dfe814069caefaea54ce5d27daf501dbf5c88cbe076a7

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:a4732e7b75170fc99ec8eb9ebceef4545b99c81eb704cb4154b683ffb4d2edd8

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:bcf590bb5413db9d83ec5f58d99f10cee8995e1cdb0154ebdd0a97ee32a41d13

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

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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:b8279497155a5e9588eb3351f8eb5f257d98a9484dfd2a29ebc7c6e07f295acf

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=sha256:1334d2603fb9f02b696d46a3fe503ed4ccd926274d57ff49b6d13880e96a446a

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

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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:bee6c398729c87bc2bfcccc6237d378824bcc27355cfb76a62fb043f7e288716

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=sha256:61e928834266eda3daaedf45c3ef8c53df3e496ca84950c34b2ad7fefdadb2fa

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:eec19b7c271217fb060fa7cd63d6d6a15b180452efb9e180eef6fe6aedb4866b

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=sha256:6b6a39ced617165049853532c19be0fe2358dba8f71e3ad53da3f00c409eba48

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:ecc025965828f87f5e1e58ea593f5b84456ae37e414a35b5dc5c1aba5bb43b69

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=sha256:38dc5c642ae1813275e70127bed9a209eafad3551397e299f4bc24781c668357

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:d8338dab55d6ab1e6ce30364f3814ff06fc2d1eb72b79a4ee29853d6a36de429

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:a6431c426629b9cd4e8a060b7bea73a2a5b68f4947aa86225d6ed090ef8092be

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=sha256:9552bb4207b49bc72d8948c816be96481f9a8996ab4efcfc31ba6db4416bd904

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:c932b904eb662145dd93d2eafd012c0acb8eae88a3c892a4ae1996ef562f5d0b

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:e0cb01e0ba205e1f426a7e79cc1750425951ca56e07f7363a6341694db15dca0

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=sha256:5d0f8997fe48285a99ee462abc6fb58f33066b7fbd14ae2c8f6fe6cd42946d53