Paper Citation Record · LEDGER

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.17297.

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

pith.paper-citation-record.v1
2607.17297 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:29:57.345898Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1265814-49ee-478e-8d5d-6fa613b1604f · outbound

This paper cites Journal of Mechanical Design , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Journal of Mechanical Design , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:52.508531Z

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Observation 3facbcc3-90a4-4bc8-8985-591ef3556757 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Advances in Neural Information Processing Systems , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:52.627300Z

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Observation 341881a4-8cda-459f-b11b-63ea640ed68b · outbound

This paper cites DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:52.855919Z

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Observation d34c9c54-4c4c-46cd-8af1-13037d8dbeed · outbound

This paper cites Nature machine intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Nature machine intelligence , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.018986Z

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Observation 1c4e3fc9-f034-4187-b5b4-8d150aeb3ffd · outbound

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

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Fourier Neural Operator for Parametric Partial Differential Equations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.181106Z

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Observation 5b92921c-0e9b-43b2-b85d-2d9a0ce10e15 · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Engineering Applications of Artificial Intelligence , volume=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.314774Z

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Observation bb6d1bbe-5bca-4762-a098-7032dcf91d7e · outbound

This paper cites Sequential Deep Operator Networks (.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Sequential Deep Operator Networks (

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.481337Z

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Observation 6e86ca23-2127-432a-a2d9-3af090121e53 · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Engineering Applications of Artificial Intelligence , volume=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.618619Z

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Observation e12dafe8-eef4-4001-af65-e49865062e87 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.780383Z

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Observation 3d40d597-e7e1-4f5d-b8dd-86548e26f9cd · outbound

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

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.874068Z

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Observation c33da1c8-bdb4-4cf3-b453-cf3e70ae1ab7 · outbound

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

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:53.979698Z

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Observation a5800547-2acc-4137-b4a7-531f5cc92269 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Advances in Neural Information Processing Systems , volume=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:54.080920Z

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Observation c7127cfd-225b-4fc1-9a61-97af46d05947 · outbound

This paper cites arXiv preprint arXiv:2502.09692 , year=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates arXiv preprint arXiv:2502.09692 , year=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:54.216174Z

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Observation 7d1b9038-a2fb-4734-96b9-4b1323e7ee5e · outbound

This paper cites Journal of Computational Physics , pages=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Journal of Computational Physics , pages=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:54.395441Z

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Observation dd3247ce-b1cd-4f99-9214-05cdfde816be · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Forty-third International Conference on Machine Learning , year=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:54.561062Z

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Observation aad34eda-6897-499e-8c7c-d5c77823644d · outbound

This paper cites GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:54.701681Z

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Observation 92c159bc-437e-41a0-b018-608f10f4fe16 · outbound

This paper cites 2005 , publisher=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates 2005 , publisher=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:54.804744Z

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Observation acdf75e8-f3b8-4262-88cc-6cf325dae5bb · outbound

This paper cites , author=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates , author=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:54.913914Z

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Observation a731ec2d-bbaf-4e40-9500-3f71874e8910 · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:55.047344Z

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Observation 05e12f67-0fd7-4a0b-ace4-07240ae5e011 · outbound

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

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:55.210693Z

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Observation 25ccdd9f-6d28-4561-b3e6-c590f63da8e2 · outbound

This paper cites Physica D: Nonlinear Phenomena , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Physica D: Nonlinear Phenomena , volume=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:55.362681Z

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Observation f98aa434-7ea1-454b-a602-4fdfe28063cf · outbound

This paper cites Machine Learning: Science and Technology , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Machine Learning: Science and Technology , volume=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:55.521087Z

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Observation 1fb4fd2f-3aed-435b-9a4a-a3acb840c09b · outbound

This paper cites Conformal Prediction on Quantifying Uncertainty of Dynamic Systems.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Conformal Prediction on Quantifying Uncertainty of Dynamic Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:55.644488Z

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Observation 9a468e93-4804-4436-917b-2e7bfb8b16f0 · outbound

This paper cites 2012 , institution=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates 2012 , institution=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:55.770122Z

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Observation 8278d769-d4c2-452c-8a71-996ac7885ba6 · outbound

This paper cites International conference on machine learning , pages=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates International conference on machine learning , pages=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:55.871045Z

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Observation 7f471b27-6155-4ca7-9c64-ec494ac3e5d2 · outbound

This paper cites international conference on machine learning , pages=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates international conference on machine learning , pages=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:56.022553Z

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Observation 824471d6-b4a4-45aa-a042-11d7871d826d · outbound

This paper cites Advances in neural information processing systems , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Advances in neural information processing systems , volume=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:56.114002Z

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Observation 223b7aa9-154e-4711-a5b1-9d5320dcc2d3 · outbound

This paper cites an unresolved cited work.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:56.243420Z

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Observation f3edaeb7-93b1-4544-9cd5-ada972e734d1 · outbound

This paper cites Advances in neural information processing systems , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Advances in neural information processing systems , volume=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:56.396011Z

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Observation 5ad33ff6-58cd-4b7d-a79a-ea9bfc7cf766 · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Engineering Applications of Artificial Intelligence , volume=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:56.574539Z

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Observation e652c422-2785-47da-bc9e-521275ac5a44 · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Engineering Applications of Artificial Intelligence , volume=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:56.699801Z

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Observation 25ef2241-440f-46f0-8a4b-78ec5cc92dee · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Engineering Applications of Artificial Intelligence , volume=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:56.842019Z

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Observation a504b0f2-8ede-4e21-88d2-9bef0fbb23b8 · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Engineering Applications of Artificial Intelligence , volume=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:57.005634Z

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Observation 289eb482-0235-4b19-b5a6-c818521fa03b · outbound

This paper cites arXiv preprint arXiv:2512.13069 , year=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates arXiv preprint arXiv:2512.13069 , year=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:57.128780Z

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Observation 59ed9414-4f56-40fd-8eee-a98655bafc86 · outbound

This paper cites The Annals of Statistics , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates The Annals of Statistics , volume=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:57.250012Z

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Observation b6ff38ea-45b3-4158-8465-46e7538961c9 · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates Engineering Applications of Artificial Intelligence , volume=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T18:29:57.345898Z

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Pith citing papers

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