Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling | Paper Citation Record

Observation e4ab8417-5f53-4f25-8ca0-a79210ba7e8e · outbound

This paper cites an unresolved cited work.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-16T11:27:48.255768Z

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Observation 01b1f01e-488c-491d-a595-6808ecbb8da1 · outbound

This paper cites The influence of structural variations on the constitutive response and strain variations in thin fibrous materials.Acta Materialia, 203: 116460.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling The influence of structural variations on the constitutive response and strain variations in thin fibrous materials.Acta Materialia, 203: 116460

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.249330Z

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This paper cites Input convex neural networks.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Input convex neural networks

Reference 3

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This paper cites A review of the characterizations of soft tissues used in human body modeling: scope, limitations, and the path forward.Journal of Tissue Viability, 32(2):286–304.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling A review of the characterizations of soft tissues used in human body modeling: scope, limitations, and the path forward.Journal of Tissue Viability, 32(2):286–304

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.251675Z

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Observation 1954fd74-a5e2-4f21-bf00-22d28e579f71 · outbound

This paper cites A mechanics-informed artificial neural network approach in data-driven constitutive modeling.International Journal for Numerical Methods in Engineering, 123(12):2738– 2759.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling A mechanics-informed artificial neural network approach in data-driven constitutive modeling.International Journal for Numerical Methods in Engineering, 123(12):2738– 2759

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.246647Z

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Observation e7c77d26-22b3-45a3-9e95-b1fc301d2274 · outbound

This paper cites Physics-constrained symbolic model discovery for polyconvex incom- pressible hyperelastic materials.International Journal for Numerical Methods in Engineering, 125(15):e7473.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Physics-constrained symbolic model discovery for polyconvex incom- pressible hyperelastic materials.International Journal for Numerical Methods in Engineering, 125(15):e7473

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.323581Z

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Observation b5aea014-4b27-421d-95ce-97a8d8fbae69 · outbound

This paper cites Convexity conditions and existence theorems in nonlinear elasticity.Archive for rational mechanics and Analysis, 63(4):337–403.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Convexity conditions and existence theorems in nonlinear elasticity.Archive for rational mechanics and Analysis, 63(4):337–403

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.364137Z

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This paper cites Variational inference: A review for statisticians.Journal of the American statistical Association, 112(518):859–877.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Variational inference: A review for statisticians.Journal of the American statistical Association, 112(518):859–877

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.311972Z

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Observation 5595ce5d-a915-49de-86f4-73f815c86a6d · outbound

This paper cites Use of deep neural networks for uncertain stress functions with extensions to impact mechanics.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Use of deep neural networks for uncertain stress functions with extensions to impact mechanics

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.377855Z

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Observation bb7eddfc-69f6-4b41-95fc-3722fe0fc3e1 · outbound

This paper cites Weight uncertainty in neural net- work.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Weight uncertainty in neural net- work

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.334637Z

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Observation 76126a57-48a7-4c4b-8cd8-4af64dc934ef · outbound

This paper cites Uncertainty quantification for constitutive model calibration of brain tissue.Journal of the mechanical behavior of biomedical materials, 85:237–255.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Uncertainty quantification for constitutive model calibration of brain tissue.Journal of the mechanical behavior of biomedical materials, 85:237–255

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.299109Z

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Observation 3e9a7183-8940-410b-93d0-5219d6f2afca · outbound

This paper cites Fifty shades of brain: a review on the mechanical testing and modeling of brain tissue.Archives of Computational Methods in Engineering.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Fifty shades of brain: a review on the mechanical testing and modeling of brain tissue.Archives of Computational Methods in Engineering

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.361277Z

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Observation 6f4c864f-ddc2-4feb-8f26-d34d19ca38b8 · outbound

This paper cites Polyconvex neural networks for hyperelastic constitutive models: A rectifi- cation approach.Mechanics Research Communications, 125:103993.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Polyconvex neural networks for hyperelastic constitutive models: A rectifi- cation approach.Mechanics Research Communications, 125:103993

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.270005Z

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Observation 753b3893-3ba9-4c29-a36a-6de26aa21d42 · outbound

This paper cites Uncertainty-aware digital twins: Robust model predictive control using time-series deep quantile learning.Journal of Mechanical Design, 148(2):021702.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Uncertainty-aware digital twins: Robust model predictive control using time-series deep quantile learning.Journal of Mechanical Design, 148(2):021702

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.278032Z

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Observation 4824213b-e6c4-4ab0-ae01-5469f8f37008 · outbound

This paper cites Shape-constrained regression using sum of squares polynomials.Operations Research, 73(1):543–559.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Shape-constrained regression using sum of squares polynomials.Operations Research, 73(1):543–559

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.262987Z

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Observation ba7a1d8e-8396-4fad-9f3c-6e56a12bd960 · outbound

This paper cites A Bayesian approach to accounting for variability in mechanical properties in biomaterials.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling A Bayesian approach to accounting for variability in mechanical properties in biomaterials

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:27:48.126330Z

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Observation 3cdabf86-8fb7-45a6-8742-b87082d135e0 · outbound

This paper cites Tensor basis gaussian process models of hyperelastic materials.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Tensor basis gaussian process models of hyperelastic materials

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.350048Z

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Observation 8205553f-fdd5-4977-ad72-3ccfbe5109ce · outbound

This paper cites Monotone piecewise cubic interpolation.SIAM Journal on Numerical Analysis, 17(2):238–246.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Monotone piecewise cubic interpolation.SIAM Journal on Numerical Analysis, 17(2):238–246

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.358956Z

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Observation 625d7511-2ac4-4751-a24f-d143d9a43334 · outbound

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Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-16T11:27:48.375377Z

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Observation fcead40f-c087-429d-bc43-aafe78a3af6f · outbound

This paper cites Learning hyperelastic anisotropy from data via a tensor basis neural network.Journal of the Mechanics and Physics of Solids, 168:105022.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Learning hyperelastic anisotropy from data via a tensor basis neural network.Journal of the Mechanics and Physics of Solids, 168:105022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.296136Z

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Observation 9a406ab9-e451-4738-9e4a-25001e652239 · outbound

This paper cites A review on data-driven constitutive laws for solids.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling A review on data-driven constitutive laws for solids

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:27:48.130036Z

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Observation 1666b6b9-6647-4c0b-accf-c0fbc3b822bb · outbound

This paper cites Nonlinear solid mechanics: a continuum approach for engineering science.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Nonlinear solid mechanics: a continuum approach for engineering science

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.314859Z

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Observation 1c43286e-6e8c-465a-82b8-edc26e8a3faf · outbound

This paper cites Mod- elling non-symmetric collagen fibre dispersion in arterial walls.Journal of the royal society interface, 12(106): 20150188.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Mod- elling non-symmetric collagen fibre dispersion in arterial walls.Journal of the royal society interface, 12(106): 20150188

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.275296Z

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Observation 0ccfc2bb-5933-465a-a302-91e6a3b7bac6 · outbound

This paper cites What are bayesian neural network posteriors really like? InInternational conference on machine learning, pages 4629–4640.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling What are bayesian neural network posteriors really like? InInternational conference on machine learning, pages 4629–4640

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.288085Z

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Observation 0d25f2a4-55c9-486c-96af-0acbcac1898f · outbound

This paper cites Intra-and inter-individual variability in the mechanical properties of the human skin from in vivo measurements on 20 volunteers.Skin Research and Technology, 23(4):491–499.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Intra-and inter-individual variability in the mechanical properties of the human skin from in vivo measurements on 20 volunteers.Skin Research and Technology, 23(4):491–499

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.368710Z

Source-reported events for the cited work

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Observation 7fb15d64-4930-40bf-9902-c3b2a3ed87a2 · outbound

This paper cites Biaxial mechanical data of porcine atrioventricular valve leaflets.Data in brief, 21: 358–363.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Biaxial mechanical data of porcine atrioventricular valve leaflets.Data in brief, 21: 358–363

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.381998Z

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Observation ab0ab9da-ed8a-4df5-952f-7ee2c6d47412 · outbound

This paper cites Bayesian-euclid: Discovering hyperelastic material laws with uncertainties.Computer Methods in Applied Mechanics and Engineering, 398:115225.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Bayesian-euclid: Discovering hyperelastic material laws with uncertainties.Computer Methods in Applied Mechanics and Engineering, 398:115225

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.308756Z

Source-reported events for the cited work

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Observation 47054178-1649-4f24-b8c7-3aac17d55b37 · outbound

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Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-16T11:27:48.285142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a8ba1aa-1c3e-4a9d-9cc2-cbadaa8695cc · outbound

This paper cites Polyconvex anisotropic hyperelasticity with neural networks.Journal of the Mechanics and Physics of Solids, 159:104703.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Polyconvex anisotropic hyperelasticity with neural networks.Journal of the Mechanics and Physics of Solids, 159:104703

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.370902Z

Source-reported events for the cited work

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Observation 1222b312-4fbb-46dd-9998-0135e417221f · outbound

This paper cites Quantile regression.Journal of economic perspectives, 15(4):143–156.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Quantile regression.Journal of economic perspectives, 15(4):143–156

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.290604Z

Source-reported events for the cited work

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Observation 17079032-0b43-44b8-9f37-e4048082f740 · outbound

This paper cites Neural networks meet hyperelasticity: A guide to enforcing physics.Journal of the Mechanics and Physics of Solids, 179:105363.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Neural networks meet hyperelasticity: A guide to enforcing physics.Journal of the Mechanics and Physics of Solids, 179:105363

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.354519Z

Source-reported events for the cited work

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Observation c4bd5790-6ace-4d48-820a-d66311b82d6d · outbound

This paper cites A new family of constitutive artificial neural networks towards automated model discovery.Computer Methods in Applied Mechanics and Engineering, 403:115731.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling A new family of constitutive artificial neural networks towards automated model discovery.Computer Methods in Applied Mechanics and Engineering, 403:115731

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.329225Z

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Observation d1283cf4-69b9-40b7-9c87-f868a9d23f8f · outbound

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Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-16T11:27:48.320671Z

Source-reported events for the cited work

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Observation ef8c2295-2a77-424f-8e99-ae8cf0014c11 · outbound

This paper cites Discovering uncertainty: Bayesian constitutive artificial neural networks.Computer Methods in Applied Mechanics and Engineering, 433:117517.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Discovering uncertainty: Bayesian constitutive artificial neural networks.Computer Methods in Applied Mechanics and Engineering, 433:117517

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.345057Z

Source-reported events for the cited work

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Observation a4469f3a-5cd6-40b1-8fcb-f60305def7c4 · outbound

This paper cites Bayesian calibration of hyperelastic constitutive models of soft tissue.Journal of the mechanical behavior of biomedical materials, 59:108–127.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Bayesian calibration of hyperelastic constitutive models of soft tissue.Journal of the mechanical behavior of biomedical materials, 59:108–127

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.347589Z

Source-reported events for the cited work

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Observation 11ec9339-8e8d-4229-abb1-011ece22530b · outbound

This paper cites Courier Corporation.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Courier Corporation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.331839Z

Source-reported events for the cited work

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Observation c741e42b-9e78-4107-92d3-413acc739d7c · outbound

This paper cites Generalized invariants meet constitutive neural networks: A novel framework for hyperelastic materials.Journal of the Mechanics and Physics of Solids, page 106352.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Generalized invariants meet constitutive neural networks: A novel framework for hyperelastic materials.Journal of the Mechanics and Physics of Solids, page 106352

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.283142Z

Source-reported events for the cited work

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Observation c2ef7fab-72b0-46eb-97fd-1d3da938fc6d · outbound

This paper cites Discovering uncertainty: Gaussian constitutive neural networks with correlated weights.Computational Mechanics, pages 1–13.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Discovering uncertainty: Gaussian constitutive neural networks with correlated weights.Computational Mechanics, pages 1–13

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.356608Z

Source-reported events for the cited work

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Observation 05e619d9-b372-4414-816b-6db87b166831 · outbound

This paper cites A variable selection approach to monotonic regression with bernstein polynomials.Journal of Applied Statistics, 38(5):961–976.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling A variable selection approach to monotonic regression with bernstein polynomials.Journal of Applied Statistics, 38(5):961–976

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.352040Z

Source-reported events for the cited work

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Observation 3c6afb65-fc87-427f-ad16-d8c8dd5666ec · outbound

This paper cites Inference using shape-restricted regression splines.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Inference using shape-restricted regression splines

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.260422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83f9966c-fe35-4326-97f2-c55643afe89b · outbound

This paper cites an unresolved cited work.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-16T11:27:48.293172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6add5c24-22f0-4dfa-a2b4-efbfd3fea9c4 · outbound

This paper cites Deep learning predicts path-dependent plasticity.Proceedings of the National Academy of Sciences, 116(52):26414–26420.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Deep learning predicts path-dependent plasticity.Proceedings of the National Academy of Sciences, 116(52):26414–26420

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.301937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75d76887-a105-4ce7-917b-9caaa6bf249c · outbound

This paper cites Fast and flexible methods for monotone polynomial fitting.Journal of Statistical Computation and Simulation, 86(15):2946–2966.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Fast and flexible methods for monotone polynomial fitting.Journal of Statistical Computation and Simulation, 86(15):2946–2966

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.379880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e66a384-886f-465e-a73d-5eeb27e388d7 · outbound

This paper cites Springer Science & Business Media.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Springer Science & Business Media

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.280520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1df6522b-fcd7-4aa7-bc82-99d17c22ba27 · outbound

This paper cites Courier Corporation.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Courier Corporation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.326306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7dd581e-6927-40ea-83b5-345e39b8fedc · outbound

This paper cites Monotone regression splines in action.Statistical science, pages 425–441.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Monotone regression splines in action.Statistical science, pages 425–441

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.265252Z

Source-reported events for the cited work

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Observation 8abb8c77-35a6-4af8-9566-abf76b6370ee · outbound

This paper cites Bayesian model selection of hyperelastic models for simple and pure shear at large deformations.Computers & Structures, 156:101–109.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Bayesian model selection of hyperelastic models for simple and pure shear at large deformations.Computers & Structures, 156:101–109

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.272835Z

Source-reported events for the cited work

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Observation 82aa209e-dce7-44c3-8384-0ad91f5480bd · outbound

This paper cites Conformalized quantile regression.Advances in neural information processing systems, 32.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Conformalized quantile regression.Advances in neural information processing systems, 32

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.340321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4fdc6a4-4c8e-4981-aaf2-aeac4b7ebe82 · outbound

This paper cites Integrating uncertainty awareness into conformal- ized quantile regression.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Integrating uncertainty awareness into conformal- ized quantile regression

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.318410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 151d5b93-3857-4cd8-abe3-27bd5ae9033f · outbound

This paper cites Anisotropic polyconvex energies on the basis of crystallographic motivated structural tensors.Journal of the Mechanics and Physics of Solids, 56(12):3486–3506.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Anisotropic polyconvex energies on the basis of crystallographic motivated structural tensors.Journal of the Mechanics and Physics of Solids, 56(12):3486–3506

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.366394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b771f370-c11d-4670-942e-eddadb850d4b · outbound

This paper cites an unresolved cited work.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-16T11:27:48.383709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 571d0443-6051-4f19-a31e-fb1254585216 · outbound

This paper cites Monotone approximation.Pacific Journal of Mathematics, 15(2):667–671.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Monotone approximation.Pacific Journal of Mathematics, 15(2):667–671

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.342391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4ca9f04-989e-470d-8bc4-ae61952bde68 · outbound

This paper cites Monotonic networks.Advances in neural information processing systems, 10.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Monotonic networks.Advances in neural information processing systems, 10

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.337227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b26221ba-d667-4d82-8f1d-6521bcb5cbac · outbound

This paper cites Data-driven tissue mechanics with polyconvex neural ordinary differential equations.Computer Methods in Applied Mechanics and Engineering, 398:115248.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Data-driven tissue mechanics with polyconvex neural ordinary differential equations.Computer Methods in Applied Mechanics and Engineering, 398:115248

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.373305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5160c5ce-7d4f-4afd-9c54-c4e6214d07e1 · outbound

This paper cites an unresolved cited work.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-05-16T11:27:48.267851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd6287ce-3c1c-473a-9f30-403d1f09d18f · outbound

This paper cites Nn-euclid: Deep-learning hyperelasticity without stress data.Journal of the Mechanics and Physics of Solids, 169:105076.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Nn-euclid: Deep-learning hyperelasticity without stress data.Journal of the Mechanics and Physics of Solids, 169:105076

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.258260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff19ec5b-a456-495e-b3e2-66027888f271 · outbound

This paper cites Geometric deep learning for computational mechanics part i: Anisotropic hyperelasticity.Computer Methods in Applied Mechanics and Engineering, 371:113299.

Conformal Quantile Regression for Neural Probabilistic Constitutive Modeling Geometric deep learning for computational mechanics part i: Anisotropic hyperelasticity.Computer Methods in Applied Mechanics and Engineering, 371:113299

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:27:48.305598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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