Paper Citation Record · LEDGER

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.10333.

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

pith.paper-citation-record.v1
2607.10333 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:34:40.550770Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

18 of 18 outbound references displayed

verified exact1
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 704e6317-f723-471d-9e1d-9799393a65bb · outbound

This paper cites AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83635885-5c7d-463c-98d5-6884bd0eeb23 · outbound

This paper cites Deep Equilibrium Models.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Deep Equilibrium Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2bcb46-0552-4865-8575-ff177b2fb74c · outbound

This paper cites AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452e8cc1-9c68-4de2-a97f-c8bd754a8a39 · outbound

This paper cites JFB: Jacobian-Free Backpropagation for Implicit Networks.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust JFB: Jacobian-Free Backpropagation for Implicit Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f80c386-dec7-4597-8da5-3dd6dbff40fe · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83890b1e-13c4-433b-aa96-1325b0b3738e · outbound

This paper cites Learning Neural PDE Solvers with Convergence Guarantees.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Learning Neural PDE Solvers with Convergence Guarantees

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798fb13a-85dc-44f4-839d-e4e87bc20b67 · outbound

This paper cites arXiv:2306.12047.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust arXiv:2306.12047

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-14T12:40:31.990292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2928e2f3-39dc-43aa-b1ef-cdbbe5d00b9c · outbound

This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395b8bed-e9a3-4dc7-b98d-7367b743af18 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 390921f9-bae7-479a-977e-8cccd9abde8d · outbound

This paper cites PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2663bce3-940b-4f7f-98e3-d49af7b67e8c · outbound

This paper cites Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e72f01d-eedb-45af-b934-61f7107ca774 · outbound

This paper cites Deep Equilibrium Based Neural Operators for Steady-State PDEs.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Deep Equilibrium Based Neural Operators for Steady-State PDEs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2e5a89-3904-4490-88a0-8eba7d23c31d · outbound

This paper cites DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20021e7f-46ba-4024-9fe5-49a191bc4fcf · outbound

This paper cites DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3573d5b7-335e-4b03-a08d-27daaa63ba3b · outbound

This paper cites ANCHOR: Error-controlled adaptive numerical correction for neural operator time marching.arXiv preprint arXiv:2512.19643,.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust ANCHOR: Error-controlled adaptive numerical correction for neural operator time marching.arXiv preprint arXiv:2512.19643,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e7e20f-1f0e-491a-ae39-73d30495bf5a · outbound

This paper cites Structure-aware epistemic uncertainty quantification for neural operator PDE surrogates.arXiv preprint arXiv:2603.11052,.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Structure-aware epistemic uncertainty quantification for neural operator PDE surrogates.arXiv preprint arXiv:2603.11052,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 744d0c42-8d87-4b58-9104-1f4320501401 · outbound

This paper cites Monotone operator equilibrium networks.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Monotone operator equilibrium networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed52f8e-d5d3-412a-97ad-3d49c3decf63 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.