Paper Citation Record · LEDGER

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency

As of 19 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 5 inbound Pith citation observations for arXiv:2505.07801.

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

pith.paper-citation-record.v1
2505.07801 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:13:09.518419Z

measured 93 of 93 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:38:24.930442Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T23:19:03.764826Z

Reference resolution

88 of 88 outbound references displayed

verified exact2
verified fuzzy34
unresolved52
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7af78c87-b6d5-4480-84d0-22e85ec15558 · outbound

This paper cites Lemaitre, J.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Lemaitre, J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.124439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8dcca28-9e61-4563-8ddb-cc10b34f4c91 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.129550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc9400c-4343-4f36-9cdc-4306e0d99f73 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.134424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a8de11c-9cef-40ba-a5aa-65b53f243142 · outbound

This paper cites Bonet, R.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Bonet, R

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.140724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bd9f91b-6915-40b3-afc3-43d26ad817ac · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.145126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a9ff74-7d5f-4356-a04b-4db42079b93e · outbound

This paper cites Belytschko, W.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Belytschko, W

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.149725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0165ec41-5ed7-4809-b7f4-f609185c9903 · outbound

This paper cites Hill, The Mathematical Theory of Plasticity, Oxford University Press, 1950.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Hill, The Mathematical Theory of Plasticity, Oxford University Press, 1950

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.155191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a10e0194-122b-4d30-87a3-2cb35182249f · outbound

This paper cites Truesdell, W.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Truesdell, W

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.159841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b67bb147-de5c-4985-b8e7-1c5f57422b7e · outbound

This paper cites Malvern, Introduction to the Mechanics of a Continuous Medium, Prentice-Hall series in engineering of the physical sciences, Prentice-Hall, 1969.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Malvern, Introduction to the Mechanics of a Continuous Medium, Prentice-Hall series in engineering of the physical sciences, Prentice-Hall, 1969

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.761361Z

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 a1eb5632-46a8-4f47-b4d2-abc725ed267c · outbound

This paper cites Ogden, Non-linear Elastic Deformations, Ellis Horwood series in mathematics and its appli- cations, E.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Ogden, Non-linear Elastic Deformations, Ellis Horwood series in mathematics and its appli- cations, E

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.745636Z

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 add146fd-7448-4aa5-91ec-0e7f926ac676 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.730900Z

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 7abea9b2-6cf1-4049-88fb-2777df089107 · outbound

This paper cites Kothari, L.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Kothari, L

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.716071Z

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 c86165a4-c2df-41c3-80bb-dad34c283c18 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.702329Z

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 84df037e-2692-4e6b-9331-d4093777a3d4 · outbound

This paper cites Anand, M.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Anand, M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.688403Z

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 c79d0e80-19f2-4b6f-9d7d-c0cec4a73b2f · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.192343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38999712-9cef-42a4-af43-241595700e4b · outbound

This paper cites Mozaffar, R.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Mozaffar, R

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.664270Z

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 647e7937-03cd-40e7-a2a7-3a918b0b697d · outbound

This paper cites Bessa, R.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Bessa, R

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.646812Z

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 4b9aa120-c476-447e-a5c6-bd2598d32099 · outbound

This paper cites Bengio, Learning Deep Architectures for AI, 2009.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Bengio, Learning Deep Architectures for AI, 2009

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.632050Z

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 c442e8d1-1ef3-442a-99f7-79db0853594d · outbound

This paper cites The power of deeper networks for expressing natural functions.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency The power of deeper networks for expressing natural functions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.209835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc0b4e9-bb4e-4af0-8189-9cc600d52539 · outbound

This paper cites Ghaboussi, J.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Ghaboussi, J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.618136Z

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 63e2a3e6-6741-4ab4-9bcc-5aa09348c1cf · outbound

This paper cites Theocaris, P.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Theocaris, P

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.604188Z

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 77b21979-f487-4549-9d11-7713a5d30892 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.589941Z

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 8b35f9b8-f1a1-4c91-922e-34f00914e78e · outbound

This paper cites Waszczyszyn, L.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Waszczyszyn, L

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.574565Z

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 b5ae2aed-b1e2-4f0d-941f-06b499cac4cb · outbound

This paper cites Lefik, B.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Lefik, B

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.560622Z

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 0f7a6005-1624-4dcf-83b7-9b0a5501e7d6 · outbound

This paper cites Ghavamian, A.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Ghavamian, A

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.545714Z

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 d9496518-fd3e-436b-beaf-451ede8c7745 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.529221Z

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 2e44666f-0a78-4444-be43-3721e2f23420 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.514802Z

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 b7497396-724e-4858-8203-8e51678f96be · outbound

This paper cites Lefik, D.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Lefik, D

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.499384Z

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 1b91c2ee-d9e2-4bfc-932e-26d4a3efacf7 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.485262Z

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 efec0663-2176-47b3-b8c0-5f9eb91234b9 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.470983Z

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 d04b75c9-de88-4a75-a66b-d9a4230103af · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.264880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2737ad45-577f-4fe5-a490-9c0a101c67a9 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.447874Z

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 9dea8112-8411-44fe-a2aa-192667a56f13 · outbound

This paper cites He, J.-S.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency He, J.-S

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.432385Z

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 71300576-58ae-4423-9b89-ab0c3ea8a33d · outbound

This paper cites Eghbalian, M.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Eghbalian, M

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.416910Z

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 6941d0bf-771c-49a9-a5bb-8379410517d7 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.402758Z

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 001bfe7a-ac67-41da-8c2c-fedacf4462d6 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.388485Z

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 5db1a56c-49d1-4810-bc25-8235bc6a0b8c · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.373420Z

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 c73fa70e-c682-4e65-bc0f-c027b75f3e2f · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.358445Z

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 beba0016-43ee-4412-86c4-db0d1259ee70 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.299163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43fb87bd-e4ce-40c0-89a4-1e834db26e74 · outbound

This paper cites Sutton, J.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Sutton, J

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.335322Z

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 3e4b9181-3306-4709-ace1-1e31f3cd8bfa · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.320932Z

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 7aaa01e2-9d97-4be9-aecb-5f5e3b847481 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.307365Z

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 604dacca-47b8-4509-9734-f0001a51d8bf · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.294012Z

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 87fbb7bb-d651-4374-96eb-626668490e91 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.279641Z

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 d1847fe9-0e26-4eb8-8f7b-13fbe9be68a3 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.266162Z

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 898ba0aa-80b4-4ac4-a072-62d779d46ada · outbound

This paper cites Friswell, J.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Friswell, J

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.250896Z

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 c6d7d5da-14d8-4c72-ae18-95e889c2fce6 · outbound

This paper cites Haftka, Z.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Haftka, Z

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.236933Z

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 f71843d7-c5f8-48ba-8cac-d516b2c32499 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.222792Z

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 4cb05ac2-30c6-43a7-b1ac-39a21e8b5619 · outbound

This paper cites Griewank, Achieving Derivatives of High-Order by Automatic Differentiation, Technical Report, CRPC Technical Report, 1989.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Griewank, Achieving Derivatives of High-Order by Automatic Differentiation, Technical Report, CRPC Technical Report, 1989

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.208517Z

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 fd5c37d9-7fef-4a41-899e-42ebb614de5b · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.193583Z

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 9b5301af-bef5-4e95-9f70-ed0cda2f5d81 · outbound

This paper cites Thakolkaran, A.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Thakolkaran, A

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.179238Z

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 3380ea51-8163-470f-9e78-339e4b7b4d2a · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.165848Z

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 10d7121a-22cf-45f6-a86e-21c34fe468a0 · outbound

This paper cites Akerson, A.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Akerson, A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.151910Z

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 acfbe578-3260-479b-9a78-7cfbe2a1f06d · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.137767Z

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 86a4a779-6638-4d2c-a68e-4137cd335e3a · outbound

This paper cites Ghaboussi, D.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Ghaboussi, D

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.123371Z

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 518f3c70-18f4-4085-8663-e46a648779e0 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.108668Z

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 8ba721bf-4a7d-4334-8a68-b63e0c2d86ea · outbound

This paper cites Lefik, B.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Lefik, B

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.094780Z

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 950da7d5-73c0-4a14-bdf2-043394345714 · outbound

This paper cites Grédiac, Principe des travaux virtuels et identification, Comptes rendus de l’Académie des sciences.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Grédiac, Principe des travaux virtuels et identification, Comptes rendus de l’Académie des sciences

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.081573Z

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 8e75a0a5-7656-4814-8a04-ab03d9e987cd · outbound

This paper cites Pierron, M.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Pierron, M

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.067555Z

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 684b9403-c927-4515-a587-cfc239ae6ebd · outbound

This paper cites Lourenço, P.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Lourenço, P

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.052611Z

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 c0132951-baa9-46d7-b6eb-1181be404bd6 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.038987Z

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 2c54e636-bd21-49f9-a556-681aeed25457 · outbound

This paper cites A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:13:09.749390Z

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 7847acff-0439-4958-86b9-ec1ed272c89d · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:10.025341Z

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 43d53083-a6f6-4a81-a675-9abb1288a66c · outbound

This paper cites Raissi, P.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Raissi, P

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:10.010662Z

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 85c4afad-21df-460a-9778-6ced763b218b · outbound

This paper cites Jeong, M.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Jeong, M

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:09.996745Z

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 f7fc49ca-3ee1-495b-9196-e91828945883 · outbound

This paper cites Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.417475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e118bc92-c467-42bd-9017-7f6dfea60095 · outbound

This paper cites Zhang, K.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Zhang, K

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:09.982582Z

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 052070a1-9e2b-45dd-84d3-4835b47b52da · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.967937Z

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 3992631e-9bd4-4dca-b78b-0b5dafe406e6 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.953092Z

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 02f6b3ed-fd1c-411c-a23a-bd8e4b348de6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Adam: A Method for Stochastic Optimization

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.435945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77270f8-4623-4cc6-a631-4cf86182c82e · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.939687Z

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 130a7998-fa9c-46fd-b20b-75ec44c85364 · outbound

This paper cites Avril, M.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Avril, M

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:09.925268Z

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 720c2e0d-f2c4-44db-8f9f-fd4f6db79ff2 · outbound

This paper cites Bhatia, F.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Bhatia, F

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.449195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c64f8a9-657e-4c10-8b4a-a9617e26c7d1 · outbound

This paper cites Bergstra, R.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Bergstra, R

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:09.910910Z

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 f8a97607-ca3c-4d03-b36d-fb780af8feb4 · outbound

This paper cites Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:13:09.618058Z

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 df2ed166-d6db-4e58-81a9-800ed55080df · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.896534Z

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 51f3bfb6-3d8c-4d9a-bdee-c248ae054e9e · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.882369Z

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 867d02e9-f449-4541-a3fb-1aab808aa394 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.867469Z

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 83ed2b16-3d47-4f79-8275-af493ad31c67 · outbound

This paper cites Vijayakumaran, J.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Vijayakumaran, J

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:09.853152Z

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 aa511f33-91a4-433b-b791-ed85a3e11fba · outbound

This paper cites Dekhovich, O.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Dekhovich, O

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:09.837230Z

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 a3c2b4c1-4123-4968-9ef9-d658220cc8ba · outbound

This paper cites Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.485237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc5f0e44-622c-4dd2-813e-173ca217ba5c · outbound

This paper cites BARNN: A Bayesian Autoregressive and Recurrent Neural Network.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency BARNN: A Bayesian Autoregressive and Recurrent Neural Network

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.490060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7389fa-c75f-4f5a-b0d6-8142bd59dac1 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.822226Z

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 5fe4c6da-b64a-4a46-92b6-c361eb194834 · outbound

This paper cites Cazacu, F.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Cazacu, F

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:09.808190Z

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 a030398a-3bdb-4076-b2ef-1288eba44c47 · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.793534Z

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 8ca5035b-915c-44fe-8c1f-2d8a6bc6a07e · outbound

This paper cites an unresolved cited work.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:09.778929Z

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 1661c43b-a296-45e4-9d09-68f3f32f6189 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.512894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc810da-671e-4012-b91b-1c9daa597b45 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:09.518419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c7f2fcee-9bd5-45ce-84a1-bef5347f9131 · inbound

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling cites this paper.

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:38:24.930442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd2cea0b-7fe1-44f3-bba9-5e3cbd1cad0b · inbound

Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization cites this paper.

Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T15:58:56.385959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b181812-c1e5-460d-b09d-d4d90a7f00f7 · inbound

Towards Rapid Constitutive Model Discovery from Multi-Modal Data: Physics Augmented Finite Element Model Updating (paFEMU) cites this paper.

Towards Rapid Constitutive Model Discovery from Multi-Modal Data: Physics Augmented Finite Element Model Updating (paFEMU) Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-08-03T01:25:35.057459Z

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 3ac09a9a-d7c8-44e3-aa78-2972c96cebd4 · inbound

JAX-FEM-ANISO: Differentiable GPU-Accelerated Finite Element Framework for Inverse Identification of Finite-Strain Anisotropic Plasticity cites this paper.

JAX-FEM-ANISO: Differentiable GPU-Accelerated Finite Element Framework for Inverse Identification of Finite-Strain Anisotropic Plasticity Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-08-03T01:25:35.057459Z

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 3b825c44-1936-483a-b1c7-d18242258848 · inbound

JAX-FEM-ANISO: Differentiable GPU-Accelerated Finite Element Framework for Inverse Identification of Finite-Strain Anisotropic Plasticity cites this paper.

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-14T17:49:01.047724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.