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Paper Citation Record · LEDGER

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics

As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.04009.

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

pith.paper-citation-record.v1
2607.04009 v1

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measured 47 of 47 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-11T22:21:17.161599Z

measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

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47 of 47 outbound references displayed

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Outbound references

Observation 2ebf8a5d-a000-4e2a-a514-3d3457772c2d · outbound

This paper cites SimpleEuleriantimecorrelationoffull-andnarrow-bandvelocitysignalsingrid-generated, ‘isotropic’ turbulence,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics SimpleEuleriantimecorrelationoffull-andnarrow-bandvelocitysignalsingrid-generated, ‘isotropic’ turbulence,

Reference 1

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Observation c2c56c3d-89b5-48d1-b974-e1847bd22619 · outbound

This paper cites Direct numerical simulation of turbulent channel flow up to,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Direct numerical simulation of turbulent channel flow up to,

Reference 2

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Observation b517f4d4-f4f3-4123-8bdf-90767cab51cf · outbound

This paper cites Combined heat transfer and fluid dynamic measurements downstream of a backward-facing step,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Combined heat transfer and fluid dynamic measurements downstream of a backward-facing step,

Reference 3

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Observation dfbb9d77-79f1-4954-86b1-8417f4d9fa74 · outbound

This paper cites Flow over periodic hills–numerical and experimental study in a wide range of Reynolds numbers,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Flow over periodic hills–numerical and experimental study in a wide range of Reynolds numbers,

Reference 4

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Observation eb333b78-ed0e-4e2c-bc0a-dd04aebdc214 · outbound

This paper cites Anisotropy of turbulence at the core of the tip and hub vortices shed by a marine propeller,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Anisotropy of turbulence at the core of the tip and hub vortices shed by a marine propeller,

Reference 5

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Observation f91cbf29-3f60-4a3c-8866-00591a5a055b · outbound

This paper cites K.,An Introduction to Fluid Dynamics, Cambridge University Press, Cambridge, UK, 2000.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics K.,An Introduction to Fluid Dynamics, Cambridge University Press, Cambridge, UK, 2000

Reference 6

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Observation 1c7b3323-82f2-4ce8-9d67-6be1072a1a21 · outbound

This paper cites Vortex identification: New requirements and limitations,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Vortex identification: New requirements and limitations,

Reference 7

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Observation d95701cd-89c5-456e-9957-2261f995c150 · outbound

This paper cites Rortex—Anewvortexvectordefinitionandvorticitytensorandvectordecompositions,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Rortex—Anewvortexvectordefinitionandvorticitytensorandvectordecompositions,

Reference 8

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Observation 60b0f2a0-cafe-4e0f-9043-b35f50c4a574 · outbound

This paper cites The Schur decomposition of the velocity gradient tensor for turbulent flows,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics The Schur decomposition of the velocity gradient tensor for turbulent flows,

Reference 9

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Observation 9a07e8aa-6316-4851-841c-28b6e6baf82b · outbound

This paper cites The triple decomposition of the velocity gradient tensor as a standardized real Schur form,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics The triple decomposition of the velocity gradient tensor as a standardized real Schur form,

Reference 10

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Observation 9f2991e8-0109-48e2-b3e1-47924d38ff3e · outbound

This paper cites Rortex based velocity gradient tensor decomposition,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Rortex based velocity gradient tensor decomposition,

Reference 11

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Observation a211311a-cec3-47b2-866d-a42224ae389f · outbound

This paper cites Can vortex criteria be objectivized?.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Can vortex criteria be objectivized?

Reference 12

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Observation 13349021-2cbc-4893-acc7-6f2c8a69d81f · outbound

This paper cites Revisiting turbulence small-scale behavior using velocity gradient triple decomposition,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Revisiting turbulence small-scale behavior using velocity gradient triple decomposition,

Reference 13

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Observation 5aa9c382-9e96-4645-be08-025e9491064b · outbound

This paper cites Statistical properties of shear and nonshear velocity components in isotropic turbulence and turbulent jets,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Statistical properties of shear and nonshear velocity components in isotropic turbulence and turbulent jets,

Reference 14

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Observation a72dbd04-7baf-4970-916e-7bf1594a805d · outbound

This paper cites Velocity gradient partitioning in turbulent flows,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Velocity gradient partitioning in turbulent flows,

Reference 15

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Observation 7cf3ad2e-0e80-4594-9307-6c1d16b91f0c · outbound

This paper cites Numericalinvestigationofdiscontinuousiceeffectsonsweptwings,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Numericalinvestigationofdiscontinuousiceeffectsonsweptwings,

Reference 16

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Observation 0232ad51-34f2-4f69-9274-6a77eca3f8fa · outbound

This paper cites OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics,

Reference 17

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Observation 9d366719-109e-40ae-bc39-c483b97e0e78 · outbound

This paper cites OpenFOAMGPT 2.0: end-to-end, trustworthy automation for computational fluid dynamics.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics OpenFOAMGPT 2.0: end-to-end, trustworthy automation for computational fluid dynamics

Reference 18

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Observation e6c29a56-9fef-45d9-a16a-1c2c7be3650d · outbound

This paper cites Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM,

Reference 19

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Observation 862d571d-f874-48a3-b1f5-03cbedc84409 · outbound

This paper cites Automating Computational Fluid Dynamics with LLM-based Multi-Agent Systems,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Automating Computational Fluid Dynamics with LLM-based Multi-Agent Systems,

Reference 20

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Observation 76f70635-62a5-4c27-ad65-96e4b9f78eae · outbound

This paper cites FoamGPT: Fine-Tuning Large Language Model for Agentic Automation of CFD Simulations with OpenFOAM,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics FoamGPT: Fine-Tuning Large Language Model for Agentic Automation of CFD Simulations with OpenFOAM,

Reference 21

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Observation 0272deca-5d11-4de2-b7cd-9f8a2481c807 · outbound

This paper cites CFDAgent: A language-guided, zero-shot multi-agent system for complex flow simulation,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics CFDAgent: A language-guided, zero-shot multi-agent system for complex flow simulation,

Reference 22

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Observation cf644a79-9436-404a-8116-b7437e6bae51 · outbound

This paper cites ChatCFD: An LLM-Driven Agent for End-to-End CFD Automation with Domain-Specific Structured Reasoning,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics ChatCFD: An LLM-Driven Agent for End-to-End CFD Automation with Domain-Specific Structured Reasoning,

Reference 23

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Observation 417911a6-1a19-4431-abaf-bef7b4eb3cb6 · outbound

This paper cites Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows,

Reference 24

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Observation 5f2814c1-6a83-4f83-b6e5-39ef8306ade1 · outbound

This paper cites From Natural-Language to Simulation: An Intermediate Representation for Computational Fluid Dynamics,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics From Natural-Language to Simulation: An Intermediate Representation for Computational Fluid Dynamics,

Reference 25

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Observation d3f74881-f200-4e5f-9fe8-08c366e84972 · outbound

This paper cites Aerodynamic Design and Optimization via a Specialized Agentic Generative AI Framework,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Aerodynamic Design and Optimization via a Specialized Agentic Generative AI Framework,

Reference 26

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Observation 11c963ee-ae1b-4c7e-8661-a4b31054abca · outbound

This paper cites AirfoilAgent: Airfoil aerodynamics optimization design via large language model multi-agent collaborations,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics AirfoilAgent: Airfoil aerodynamics optimization design via large language model multi-agent collaborations,

Reference 27

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Observation dc522d68-86d0-44e6-b2ef-c3ecea1beee9 · outbound

This paper cites Agentic AI for Conversational Aerodynamic Analysis and Optimization of Airfoils and Wings,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Agentic AI for Conversational Aerodynamic Analysis and Optimization of Airfoils and Wings,

Reference 28

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Observation 4720e390-596e-4540-b892-3d3528c163c3 · outbound

This paper cites A Multidisciplinary Design and Optimization (MDO) Agent Driven by Large Language Models,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics A Multidisciplinary Design and Optimization (MDO) Agent Driven by Large Language Models,

Reference 29

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Observation 01d966b4-454f-456c-9e16-b6512e92392e · outbound

This paper cites Fromconcepttomanufacturing: Evaluating vision-language models for engineering design,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Fromconcepttomanufacturing: Evaluating vision-language models for engineering design,

Reference 30

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Observation 8db44c68-8d20-43c7-8a67-7dbc99616e89 · outbound

This paper cites AI agents in engineering design: a multi-agent framework for aesthetic and aerodynamic car design,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics AI agents in engineering design: a multi-agent framework for aesthetic and aerodynamic car design,

Reference 31

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Observation 4ff0fded-97b7-4c7f-889f-c059402e4a51 · outbound

This paper cites Agentic Risk-Aware Set-Based Engineering Design.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Agentic Risk-Aware Set-Based Engineering Design

Reference 32

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Observation e7ee19c3-35bd-4813-8129-dc8e7a4bc6be · outbound

This paper cites AutoTurb: Using large language models for automatic algebraic turbulence model discovery,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics AutoTurb: Using large language models for automatic algebraic turbulence model discovery,

Reference 33

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Observation 8c42a291-2877-4d1b-9daa-9d1113679f25 · outbound

This paper cites Large language model driven development of turbulence models,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Large language model driven development of turbulence models,

Reference 34

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Observation 89f8e96e-cbb6-4fb7-b3d8-f661368ffe78 · outbound

This paper cites Code2MCP: Transforming Code Repositories into MCP Services,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Code2MCP: Transforming Code Repositories into MCP Services,

Reference 35

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Observation 8d870484-8dcc-4ee6-84f7-15da241aae7b · outbound

This paper cites ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents

Reference 36

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This paper cites From static templates to dynamic runtime graphs: A survey of workflow optimization for llm agents,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics From static templates to dynamic runtime graphs: A survey of workflow optimization for llm agents,

Reference 37

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This paper cites Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations

Reference 38

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Observation 25dfa72a-3b74-4ab7-b75c-36340a4a6679 · outbound

This paper cites ALiutex-basedsubgridstressmodelforlarge-eddy simulation,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics ALiutex-basedsubgridstressmodelforlarge-eddy simulation,

Reference 39

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Observation 535e74e8-7111-4f7f-8369-7f028bf7504f · outbound

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PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Liutex-Based Sub-Grid Model for Large Eddy Simulation of Turbulent Flow,

Reference 40

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Observation 54681eb4-d950-4795-a9f0-7ad6658990a8 · outbound

This paper cites Near-Wall Scaling and Separation Prediction of a Rotation-Based Subgrid-Scale Stress Model.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Near-Wall Scaling and Separation Prediction of a Rotation-Based Subgrid-Scale Stress Model

Reference 41

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Observation a69f2b59-8a3f-45b5-85f5-4c32d691e355 · outbound

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PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics A Relative Liutex Method for Vortex Identification,

Reference 42

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Observation 0558a38e-2a5d-43ba-9f84-084d0beb7450 · outbound

This paper cites A Dynamic Subgrid-Scale Model Based on Liutex Theory for Wall-Bounded Turbulent Flows,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics A Dynamic Subgrid-Scale Model Based on Liutex Theory for Wall-Bounded Turbulent Flows,

Reference 43

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Observation e489e841-7204-46ee-af7d-90fabbeeb9c2 · outbound

This paper cites OpenFOAM:AC++libraryforcomplexphysicssimulations,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics OpenFOAM:AC++libraryforcomplexphysicssimulations,

Reference 44

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Observation 54142f37-842b-478c-b3f2-fcc209777329 · outbound

This paper cites Explicit formula for the Liutex vector and physical meaning of vorticity based on the Liutex-Shear decomposition,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Explicit formula for the Liutex vector and physical meaning of vorticity based on the Liutex-Shear decomposition,

Reference 45

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Observation bb6ee2c7-9d7e-4df6-a708-91f4da0baa11 · outbound

This paper cites Identifying the tangle of vortex tubes in homogeneous isotropic turbulence,.

PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics Identifying the tangle of vortex tubes in homogeneous isotropic turbulence,

Reference 46

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Observation 683045de-e309-4da5-a2c4-77bdc3d64dce · outbound

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PhysMiner: An Agentic AI Framework for Discovering Turbulence Physics A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers,

Reference 47

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