Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:40:05.735279Z

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
parse uncertain0
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 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

Resolution: 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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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

Resolution: 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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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

Resolution: 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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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.

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.

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.

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.