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Paper Citation Record · LEDGER

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression

As of 14 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2605.31532.

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pith.paper-citation-record.v1
2605.31532 v1

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Outbound references

Observation 1e6c1497-5ae6-4c32-89a5-589c9e768451 · outbound

This paper cites Ciambella, M.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Ciambella, M

Reference 1

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This paper cites Ciambella and P.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Ciambella and P

Reference 2

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This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 3

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 4

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Observation 52cb54cd-e096-490b-a819-b079223ad2c1 · outbound

This paper cites Kabliman, A.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Kabliman, A

Reference 5

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 6

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Observation 821b2655-3281-4170-b929-c75d54407021 · outbound

This paper cites Holzapfel.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Holzapfel

Reference 7

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Observation b6229f64-4ef8-48ea-8b23-cea7d3372bb8 · outbound

This paper cites Fundamental problems in viscoplasticity.Advances in Applied Mechanics, 9:243–377, 1966.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Fundamental problems in viscoplasticity.Advances in Applied Mechanics, 9:243–377, 1966

Reference 8

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 9

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This paper cites Makke and S.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Makke and S

Reference 10

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 11

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This paper cites Schmidt and H.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Schmidt and H

Reference 12

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Observation d0a9a15b-8981-4c76-938c-157b93ae70cd · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 13

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This paper cites Abdusalamov, M.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Abdusalamov, M

Reference 14

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

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This paper cites Kissas, S.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Kissas, S

Reference 16

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

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Observation 7b3b4052-c0fd-4b0b-a420-8989fba0b14c · outbound

This paper cites Garbrecht, B.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Garbrecht, B

Reference 18

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 20

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Bahmani, H

Reference 21

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Bahmani and W

Reference 22

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Halphen and Q

Reference 23

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Lemaitre and J.-L

Reference 24

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This paper cites Kalina, J¨ org Brummund, WaiChing Sun, and Markus K¨ astner.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Kalina, J¨ org Brummund, WaiChing Sun, and Markus K¨ astner

Reference 25

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This paper cites A mechanics-informed neural network framework for data-driven nonlinear viscoelasticity.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression A mechanics-informed neural network framework for data-driven nonlinear viscoelasticity

Reference 26

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This paper cites Theory and implementation of inelastic constitutive artificial neural networks.Computer Methods in Applied Mechanics and Engineering, 428:117063, 2024.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Theory and implementation of inelastic constitutive artificial neural networks.Computer Methods in Applied Mechanics and Engineering, 428:117063, 2024

Reference 27

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This paper cites Rausch, Francisco Sahli Costabal, and Adrian Buganza Tepole.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Rausch, Francisco Sahli Costabal, and Adrian Buganza Tepole

Reference 28

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Abdolazizi, Kevin Linka, and Christian J

Reference 29

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Califano and J

Reference 30

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Kalina, J¨ org Brummund, and Markus K¨ astner

Reference 31

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This paper cites Convex neural networks learn generalized standard material models.Journal of the Mechanics and Physics of Solids, 200:106103, 2025.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Convex neural networks learn generalized standard material models.Journal of the Mechanics and Physics of Solids, 200:106103, 2025

Reference 32

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This paper cites Boes, J.-W.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Boes, J.-W

Reference 33

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression van der Velden, B

Reference 34

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Jadoon, Knut Andreas Meyer, and Jan N

Reference 35

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This paper cites Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models

Reference 36

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Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression KAN: Kolmogorov-Arnold Networks

Reference 37

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This paper cites Thakolkaran, Y.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Thakolkaran, Y

Reference 38

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Observation ecca6af5-af14-44f0-b6d6-5b359e2d5546 · outbound

This paper cites Califano and J.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Califano and J

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:6e8a0e41b59722e8b9c82edca626f6aac7ef71b4671b65293836bdfa0e6c15eb

Observation 8e8580ce-7d05-432d-88da-b7b66e2fc413 · outbound

This paper cites Germain, Q.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Germain, Q

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:4eed8f2799554b8f00635acd171bdf0414aa32168980ee7e4d71119a2fdc02a3

Observation 0830bcf7-eae2-40d9-8648-a6ae909e1901 · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 41

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Observation c2184c8a-b493-4bd9-8431-3c14e6d8aca6 · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 42

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Observation 4c338e4b-1fed-4457-950e-e23f76d9650c · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 43

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Observation 8fc413ce-bc01-4351-9d89-574a9ee30429 · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 44

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Observation c207f1f5-329a-4ba0-bd8f-9267666a0c1a · outbound

This paper cites Viscoplastic simple shear at finite strains.Proc.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Viscoplastic simple shear at finite strains.Proc

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Observation 46f01fc1-0efa-4975-b2cb-c663549bcea5 · outbound

This paper cites Boyd and L.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Boyd and L

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Observation 74c02309-3c75-47c8-b969-5d7f8d4ef022 · outbound

This paper cites Tyrrell Rockafellar.Convex Analysis.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Tyrrell Rockafellar.Convex Analysis

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Observation 9b2bd1d7-186a-45a2-a59e-a125cd10934d · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 48

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:eb6f82c0a110101262fee75f793800ea56afdcbbae367c3f7160cc6b39c069de

Observation f2460850-bc0a-418e-85a5-1c45be5b57a4 · outbound

This paper cites Dugas, Y.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Dugas, Y

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Observation fa938c97-6b3c-45a2-bf21-7007f34dc440 · outbound

This paper cites La Cava, B.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression La Cava, B

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:1cbeda5966b09db43ae4832d327373dac736fd5bb65af397744a7562df7c4561

Observation db7ab530-9c10-4cf2-97ec-334b4473b07c · outbound

This paper cites Kommenda, B.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Kommenda, B

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:f241646bb12d14034404f87ab04fae5d21a0259c8921df0fd7f7137bca983ab5

Observation c80a3427-e4a8-4712-b13f-f5a2192d1d6c · outbound

This paper cites Springer Science & Business Media, 1996.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Springer Science & Business Media, 1996

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:324af41049ebb74c214097ce6b806c7bdf8e24414bb14fcbaa603a308186a216

Observation 16c1b99a-7d34-44e3-a52b-830cb6f1f5fb · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 53

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Observation e420f9ab-eb02-496b-a6df-29fa25b62be7 · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

Reference 54

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Observation 26a82184-76de-48a1-8fa5-3227df9a2186 · outbound

This paper cites Nelder and Roger Mead.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Nelder and Roger Mead

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Observation 85640b6c-1c33-48ec-b4cc-2d248fac9baa · outbound

This paper cites Implementing the nelder–mead simplex algorithm with adaptive parameters.Computational Optimization and Applications, 51(1):259–277, 2012.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Implementing the nelder–mead simplex algorithm with adaptive parameters.Computational Optimization and Applications, 51(1):259–277, 2012

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Observation b3ce8beb-a3af-4c04-b23c-558263c83643 · outbound

This paper cites Colton and R.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Colton and R

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:4cf0e8beaaefc532eecee1749dcc0204ed326ca2a929fbda1f5766759ece5728

Observation f4133a7e-f142-440e-bb8f-9e9eb367de2f · outbound

This paper cites The inverse crime.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression The inverse crime

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:cc51f481489946627901544fb6b4de88bea20a40bb2dd93253974d2256a2a009

Observation 633109a4-8167-4493-891c-c6b8512372d3 · outbound

This paper cites Metropolis and S.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Metropolis and S

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:81fd43012bb4268c9e955c2aeb06d5cef7040ad8f16db5f98d56a34f224734db

Observation f1ae1eec-5a15-47f1-8904-f9d5ab39658c · outbound

This paper cites an unresolved cited work.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Unresolved cited work

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:dd0426b982a4c7c404e91bad6d5702c44d2250adc22d453b5ca616d098254cde

Observation afec4156-9945-4821-9a1d-bd38fe151fc2 · outbound

This paper cites Food and Drug Administration.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression Food and Drug Administration

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:160bd28f7b6164ad1b6af31bc35006d387ca7cc75a930ab1ef8ed1d52c1bf9d3

Observation 0653f7c3-6d4d-423c-9f1e-325b06aef33c · outbound

This paper cites American Society of Mechanical Engineers, 2018.

Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression American Society of Mechanical Engineers, 2018

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source=pdf_text observed=2026-06-28T19:54:58.398014Z digest=sha256:4c560d9abb4d7eda20d03cf8884b28daa32cc7a2aef62e686c900202bc7d6a22

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