Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:11:55.884678Z
Paper Citation Record · LEDGER
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials
As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2507.02991.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact1
- verified fuzzy42
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 14f72b0d-9e99-4af1-9ff1-6aa082601acf · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:59.295077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 87182d08-b9e0-46b2-9797-a4acd4a5d641 · outbound
This paper cites E.3D printing in Orthopaedic surgery; Elsevier, 2019; pp 1–15.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials E.3D printing in Orthopaedic surgery; Elsevier, 2019; pp 1–15
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.281500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bae91e45-4afa-4a12-975b-2a792cd41a33 · outbound
This paper cites G., Raut, D., and Shinde, D.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials G., Raut, D., and Shinde, D
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.267055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dc7507cb-9e69-46eb-98a4-54acdeb7f34d · outbound
This paper cites W., Pohl, R., Sun, C., Romer, G.-W., Huis int Veld, B., and Lohse, D.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials W., Pohl, R., Sun, C., Romer, G.-W., Huis int Veld, B., and Lohse, D
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.252634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 610469a1-3edd-48fc-a750-b275aa8144c2 · outbound
This paper cites A., Mykulowycz, N.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials A., Mykulowycz, N
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.239043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 37a93867-e693-4c8f-a1a0-af02203f94c7 · outbound
This paper cites (1998) 3D printing with metals.Computing and Control Engineering Journal 9, 31–38.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (1998) 3D printing with metals.Computing and Control Engineering Journal 9, 31–38
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.224911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 31db2041-c8ca-4321-b787-ff300f832738 · outbound
This paper cites (2019) 3D printing of ceramics: A review.Journal of the European Ceramic Society 39, 661–687.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2019) 3D printing of ceramics: A review.Journal of the European Ceramic Society 39, 661–687
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.211688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8dfff6b8-969e-4c05-9f78-a022885431a3 · outbound
This paper cites C., Rajoo, S., Noor, A.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials C., Rajoo, S., Noor, A
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.197785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a0324b5-4bdb-4f56-9ac6-6ee85c79c6c1 · outbound
This paper cites (2017) 3D printing of polymer matrix composites: A review and prospective.Composites Part B: Engineering 110, 442–458.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2017) 3D printing of polymer matrix composites: A review and prospective.Composites Part B: Engineering 110, 442–458
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.184032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ad4ebc10-9a97-47d5-bfdf-7081498a1def · outbound
This paper cites G., and Lewis, J.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials G., and Lewis, J
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.170079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0498087f-df19-4a0d-a183-c571bf7ef544 · outbound
This paper cites (2018) A review of 3D printing technology for medical applications.Engineering 4, 729–742.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2018) A review of 3D printing technology for medical applications.Engineering 4, 729–742
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.156419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 26b73611-02ee-4bf2-a7db-de4802775913 · outbound
This paper cites A., Finne-Wistrand, A., and Gasser, T.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials A., Finne-Wistrand, A., and Gasser, T
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.142364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e81480b2-568a-4ff0-bda6-a3a92ca247a4 · outbound
This paper cites L., Peng, C., Pille, P., Leary, M., and Tran, P.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials L., Peng, C., Pille, P., Leary, M., and Tran, P
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.128622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5c33ad58-ecef-46cb-b6b6-135d066535c7 · outbound
This paper cites Materials Horizons 6, 394–404.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Materials Horizons 6, 394–404
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.114352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9e7a93a9-b00c-424a-90df-e90a46bb959d · outbound
This paper cites (2020) 3D printing technologies: techniques, materials, and post- processing.Current Opinion in Chemical Engineering 28, 134–143.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2020) 3D printing technologies: techniques, materials, and post- processing.Current Opinion in Chemical Engineering 28, 134–143
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.100744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a2375dfa-59cf-4ffc-87f2-1765cd162cdd · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:59.086745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dbe3dae8-8146-4274-b73c-6020aa797a65 · outbound
This paper cites (2024) Design principles for 3D-printed thermally activated shape-morphing structures.International Journal of Mechanical Sciences 262, 108716.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2024) Design principles for 3D-printed thermally activated shape-morphing structures.International Journal of Mechanical Sciences 262, 108716
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.073261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a767a81d-2f2d-4681-a43e-0139afbd625b · outbound
This paper cites J., and O’Sullivan, L.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials J., and O’Sullivan, L
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.060048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d2d5e9a-096b-4253-8fbb-fcae5416111a · outbound
This paper cites (2017) Reconstruction of complex 35 mandibular defects using integrated dental custom-made titanium implants.British Journal of Oral and Maxillofacial Surgery 55, 425–427.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2017) Reconstruction of complex 35 mandibular defects using integrated dental custom-made titanium implants.British Journal of Oral and Maxillofacial Surgery 55, 425–427
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.046792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f61fcdfb-52ec-4ee2-91ae-f790ee1a02f7 · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:59.032942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation de0c8528-f1d6-4a53-9cc6-a47f69aab94b · outbound
This paper cites (2023) Personalized 3D printed eye gear for microscopic surgeons amidst and beyond COVID-19.Bioengineering 10, 1129.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2023) Personalized 3D printed eye gear for microscopic surgeons amidst and beyond COVID-19.Bioengineering 10, 1129
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.019191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d47548c9-3128-41a9-8eff-8f466df5f301 · outbound
This paper cites J., Wu, J., Hamel, C.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials J., Wu, J., Hamel, C
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:59.004717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 27aa0d34-0a6f-4a18-9cb5-7a5b4060206d · outbound
This paper cites (2018) 4D printing: history and recent progress.Chinese Journal of Polymer Science 36, 563–575.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2018) 4D printing: history and recent progress.Chinese Journal of Polymer Science 36, 563–575
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.991315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d6455af6-c3b6-43bb-afa3-53583cdc9422 · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:58.978577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6e7c5bac-082e-432b-bb75-8be313bfff21 · outbound
This paper cites I., Vladimirsky, D., Klein, G., and Rudykh, S.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials I., Vladimirsky, D., Klein, G., and Rudykh, S
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.964873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 13e6aa5e-d176-4912-8ffe-279707b1cc86 · outbound
This paper cites G., Preti, M.
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.950936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3a29e342-9b1f-48df-85ed-0a15cb962b30 · outbound
This paper cites (2019) Fast-response, stiffness-tunable soft actuator by hybrid multimaterial 3D printing.Advanced Functional Materials 29, 1806698.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2019) Fast-response, stiffness-tunable soft actuator by hybrid multimaterial 3D printing.Advanced Functional Materials 29, 1806698
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.937566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 20cb654e-e28b-4538-80d9-a08f63f54c72 · outbound
This paper cites (2023) Swelling under Constraints: Exploiting 3D-Printing to Optimize the Performance of Gel-Based Devices.Advanced Materials Technologies 8, 2202136.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2023) Swelling under Constraints: Exploiting 3D-Printing to Optimize the Performance of Gel-Based Devices.Advanced Materials Technologies 8, 2202136
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.923812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation db742981-a860-49de-8fa7-90f04bfb49ac · outbound
This paper cites F., and Ghajari, M.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials F., and Ghajari, M
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.909065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bb0a3a0b-9859-4a24-b350-3a86c39abe0a · outbound
This paper cites (2018) Towards mechanical characterization of soft digital materials for multimaterial 3D-printing.International Journal of Engineering Science 123, 62–72.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2018) Towards mechanical characterization of soft digital materials for multimaterial 3D-printing.International Journal of Engineering Science 123, 62–72
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.894488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5cdb2e5b-5292-42f0-a2fa-a0ab927c38b2 · outbound
This paper cites M., and Costa, C.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials M., and Costa, C
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.881084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a9b15430-7b87-43f1-be43-f0a44dca518d · outbound
This paper cites (2009) Nonlinear Viscoelastic Solids - A Review.Mathematics and Mechanics of Solids 14, 300–366.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2009) Nonlinear Viscoelastic Solids - A Review.Mathematics and Mechanics of Solids 14, 300–366
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.867096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7aec4da6-78d8-423f-8fcb-fd2cdfd72511 · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:58.853162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9ef03775-7e7f-4444-9ea2-5227eecbda1f · outbound
This paper cites (2017) Effect of intrinsic twist and orthotropy on extension–twist–inflation coupling in compressible circular tubes.Journal of Elasticity 128, 175–201.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2017) Effect of intrinsic twist and orthotropy on extension–twist–inflation coupling in compressible circular tubes.Journal of Elasticity 128, 175–201
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.838923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 969983b7-b44a-449c-986c-be49c54c3f7c · outbound
This paper cites (2021) Inversion and perversion in twist incompatible isotropic tubes.Extreme Mechanics Letters 46, 101303.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2021) Inversion and perversion in twist incompatible isotropic tubes.Extreme Mechanics Letters 46, 101303
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.824834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8432ce4d-b39e-4041-8a1c-62237de7ab8f · outbound
This paper cites (2021) A new type of soft pneumatic torsional actuator with helical chambers for flexible machines.Journal of Mechanisms and Robotics 13.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2021) A new type of soft pneumatic torsional actuator with helical chambers for flexible machines.Journal of Mechanisms and Robotics 13
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.811130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d563f693-c81e-4017-9dd7-fb760a56bcb9 · outbound
This paper cites (2021) Inflation-induced twist in geometrically incompatible isotropic tubes.Journal of Applied Mechanics 88.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2021) Inflation-induced twist in geometrically incompatible isotropic tubes.Journal of Applied Mechanics 88
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.797177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8832164c-f5e5-4a38-ba7e-2693ab7fd9c0 · outbound
This paper cites (2022) Electrically-induced twist in geometrically incompatible dielectric elastomer tubes.International Journal of Solids and Structures111707.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2022) Electrically-induced twist in geometrically incompatible dielectric elastomer tubes.International Journal of Solids and Structures111707
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.783692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 22f1073c-36ca-4e7d-b9ef-b09ff5214337 · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:58.769733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 176c0637-083f-4c4e-a84c-23330a17b68c · outbound
This paper cites N., Jones, R.
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.756107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7bf125fd-00c9-42b0-80e7-e878c43ab3b2 · outbound
This paper cites Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T21:11:56.374572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 98e77433-e9a0-4342-9eaa-dc3d8d8c607b · outbound
This paper cites K., Roth, F.
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.741728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56cccf29-3ec4-4798-96f2-82bafea5466a · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:58.728409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 941308e0-bc0e-4d16-a042-7c5411dec1a0 · outbound
This paper cites (2024) A Physics-Guided Machine Learning Model for Predicting Viscoelasticity of Solids at Large Deformation.Polymers 16, 3222, Publisher: MDPI AG.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials (2024) A Physics-Guided Machine Learning Model for Predicting Viscoelasticity of Solids at Large Deformation.Polymers 16, 3222, Publisher: MDPI AG
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.682648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59931d65-5058-4d48-9f88-8aad0410697e · outbound
This paper cites A., Brummund, J., Sun, W., and KÃ Cstner, M.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials A., Brummund, J., Sun, W., and KÃ Cstner, M
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.406928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0511b28c-582b-4b25-85ad-5bfdd12202ec · outbound
This paper cites N., Van Wees, L., Obstalecki, M., Shade, P., Bouklas, N., and Kasemer, M.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials N., Van Wees, L., Obstalecki, M., Shade, P., Bouklas, N., and Kasemer, M
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:58.175700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 62b047bf-d237-4361-8e6e-adf400f472d3 · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:57.844342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 126cf8b7-e425-4ca8-abdd-51149c7c4b51 · outbound
This paper cites A., Gebhart, P., Brummund, J., Linden, L., Sun, W., and KÃ Cstner, M.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials A., Gebhart, P., Brummund, J., Linden, L., Sun, W., and KÃ Cstner, M
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:57.607594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5f39ad2c-ed2a-4545-8c4d-b459e3644676 · outbound
This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Learning Sparse Neural Networks through $L_0$ Regularization
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:55.377000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d7aadcd-f314-4192-8adf-5caa06d5d90f · outbound
This paper cites an unresolved cited work.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:57.326340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 83e9d771-4d69-48e5-887a-82af60630c98 · outbound
This paper cites Inverse design of anisotropic microstructures using physics-augmented neural networks.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Inverse design of anisotropic microstructures using physics-augmented neural networks
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:11:56.179122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a43fa0a1-60b9-4a05-a94f-df52d0696a3c · outbound
This paper cites K., Kalina, K.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials K., Kalina, K
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:57.072681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23465b21-5d89-47c1-a27d-1164bc110c6f · outbound
This paper cites D., and Parnell, W.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials D., and Parnell, W
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:56.901350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8ab8d52d-4fe3-441c-9f05-50fe52cde287 · outbound
This paper cites O., and Saccomandi, G.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials O., and Saccomandi, G
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:56.636246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 22d03273-7a4d-4785-9b57-9e0348c850fe · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials Adam: A Method for Stochastic Optimization
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:55.884678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.