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Paper Citation Record · LEDGER

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems

As of 13 August 2026, this Paper Citation Record lists 100 of 153 outbound references and 0 inbound Pith citation observations for arXiv:2604.11513.

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

pith.paper-citation-record.v1
2604.11513 v1

Coverage vector

measured 100 of 153 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:09:48.337683Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 153 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a81d991d-55e1-4d98-9827-b0ae7d75db59 · outbound

This paper cites Carleo, I.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Carleo, I

Reference 1

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Observation dad03bd9-c9d2-4b63-8ef9-4db20807ff06 · outbound

This paper cites Das Sarma, D.-L.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Das Sarma, D.-L

Reference 2

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Observation bf27e992-6997-4af0-974e-dd9ce3b4c4a1 · outbound

This paper cites Morgan and R.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Morgan and R

Reference 3

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This paper cites Bedolla, L.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Bedolla, L

Reference 4

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Observation 530bd0bd-9b64-4af6-af65-376690696296 · outbound

This paper cites Karagiorgi, G.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Karagiorgi, G

Reference 5

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation b7c33154-813b-4be7-9e94-80d29f8ffea7 · outbound

This paper cites Carrasquilla and R.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Carrasquilla and R

Reference 7

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Source-reported events for the cited work

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Observation 0fe6ad21-73e0-4a8b-8734-9bb4f2ce887b · outbound

This paper cites Carleo and M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Carleo and M

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f80c903a-1ec6-400e-8210-e3ecb67902c2 · outbound

This paper cites Ramprasad, R.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Ramprasad, R

Reference 9

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Source-reported events for the cited work

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Observation aba0da71-3adc-4527-9aee-e6834495320b · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 10

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Observation 71d544c4-2fe2-4ced-af3b-bbee952cf7a4 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 11

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Observation ac42fd8d-6254-42b4-b84d-5be57b2bbb0b · outbound

This paper cites Schmidt, M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Schmidt, M

Reference 12

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Observation 65dc17fe-533f-4344-a70f-c791223a8821 · outbound

This paper cites Batra, L.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Batra, L

Reference 13

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This paper cites Boehnlein, M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Boehnlein, M

Reference 14

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This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation bf0431c6-55d1-424d-9957-9ff50d2ed052 · outbound

This paper cites Behler and M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Behler and M

Reference 16

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Observation 22070bf0-044d-4b75-ad65-0541dcfb28c7 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 17

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Observation 8747569d-a4bf-439b-85d0-d8f2ac2145e9 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 18

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Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 19

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Observation a7437660-248e-49f3-9eb4-f1bc06ee2d20 · outbound

This paper cites Behler, Perspective: Machine learning potentials for atomistic simulations, The Journal of Chemical Physics 145, 170901 (2016).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Behler, Perspective: Machine learning potentials for atomistic simulations, The Journal of Chemical Physics 145, 170901 (2016)

Reference 20

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Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 21

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Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 22

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Source-reported events for the cited work

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This paper cites Zhang, J.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Zhang, J

Reference 23

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This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 24

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Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 25

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 8ab9eec6-c931-40e1-9a90-39c362eb76fa · outbound

This paper cites Chmiela, A.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Chmiela, A

Reference 27

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Source-reported events for the cited work

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This paper cites Chmiela, H.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Chmiela, H

Reference 28

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Source-reported events for the cited work

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Observation 451207b8-53d7-48f8-adc4-6f8d44246422 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 30

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Source-reported events for the cited work

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Observation 26d030b4-c880-4913-b72c-e7eb9ff1cf03 · outbound

This paper cites Marx and J.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Marx and J

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ddeb5dfb-1bea-4fea-a6cc-473c406dca2b · outbound

This paper cites Machine learning dynamics of phase separation in correlated electron magnets.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Machine learning dynamics of phase separation in correlated electron magnets

Reference 32

Resolution
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Source-reported events for the cited work

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Observation 77cdc93c-1593-4584-b8b6-be87e90cd192 · outbound

This paper cites Zhang and G.-W.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Zhang and G.-W

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3e379099-9e10-448b-adb8-d517f11852ec · outbound

This paper cites Zhang and G.-W.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Zhang and G.-W

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c0937a94-0b93-407f-9680-56783c0ecc8e · outbound

This paper cites Cheng, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Cheng, S

Reference 35

Resolution
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raw_fallback, observed 2026-05-17T16:44:59.054469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 68645cd2-38b1-42ef-aacc-1033c73124a2 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.051648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9de3f7b5-c0bc-44bf-bbd7-342f1377f302 · outbound

This paper cites Tyberg, Y.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Tyberg, Y

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.006410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:23f01711b7c88b26f63463b715c9f92c892cfb5abdea2c7b30b4f91eda6b439a

Observation b83d6b60-140d-400f-aeb4-cdcb9378a906 · outbound

This paper cites vortices.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems vortices

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.046283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:7fdaccd1610d27a7e8769c5089b8ecd5558b32520dc916423d46a2df996a71c9

Observation e1268f33-ee93-420c-a7b1-0ed35db212f8 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.049044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:a1247ae856ab33d2092423427bf3e5f4208284c4afb84bf53d2fe4a70719f257

Observation 1879ec13-b627-41f4-b616-9a14fd3cbbe3 · outbound

This paper cites M¨ uhlbauer, B.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems M¨ uhlbauer, B

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.058824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:4319d96be493ef980ed94da4c2f3fd6b7788e0b7c1c3391016ef39af0088ebf1

Observation 3edb7767-e4e4-4d9b-94fe-c34b93010103 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.075614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:9992d1205ea4b666ad159aaaaa8dd506c615caf49206a2b63a77a12acd00761f

Observation de1153f1-e7df-4c1e-9aac-93cc7692db5e · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.322526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:2a3e254116f10f4ac6b0622744e36847a41f36ac73cbe40a44174919ff94cf7c

Observation 7ea9e8d0-a0a8-42ae-b0f9-7eedf60d0cec · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.118964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:840554d2162a9645e7998fe0a7cf8a09cb34e7eee67b42c3bcde4f0118af2e35

Observation 02960c48-4d41-46fe-88ed-3ee63c26169c · outbound

This paper cites Nagaosa and Y.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Nagaosa and Y

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.025122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:f4793624163e78d30cb01f57bd43e5bc69d492383fa3ef1c3e431e8523dc03e5

Observation fdc83887-eb81-4b5e-b8a0-12d588565058 · outbound

This paper cites Dagotto,Nanoscale phase separation and colossal magnetoresistance(Springer Verlag, Berlin, 2002).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Dagotto,Nanoscale phase separation and colossal magnetoresistance(Springer Verlag, Berlin, 2002)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.028746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:6b6f26d1414a1093285b5e5795f539a052a4427456fc39899d7b97ad5f4eb125

Observation 88c2eb76-5e1b-43b1-9372-9f69185168e5 · outbound

This paper cites Dagotto, Complexity in strongly correlated electronic systems, Science309, 257 (2005).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Dagotto, Complexity in strongly correlated electronic systems, Science309, 257 (2005)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.032259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:dcdfc275a9a25fe0e79664074d65d75e25b678ade0fcd5dea324450eda34253a

Observation 1fccda94-5faf-44f1-a43c-9cbf8bb3da38 · outbound

This paper cites Moreo, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Moreo, S

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.035077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:de548990728c424087bae9666951032ee261926ebf8f792f3af36913475833eb

Observation 6aa19faa-22ca-4e00-8bf6-f19e435e18f7 · outbound

This paper cites Dagotto, T.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Dagotto, T

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.018746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:62fdd1e22fedc7fdfdb99e75658d615c5c68e31aeafe2e0b0587118226462d3c

Observation 50220c2d-ba63-4b43-b296-635ee5565b11 · outbound

This paper cites Mathur and P.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Mathur and P

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.021718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:5bed4db67a9e832f4f52e51a420c6a87a83df9777503c16ef7cc8717acd504cf

Observation 2f64e14d-d010-4034-bfbd-3e27620d3965 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.012890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:89157ad50b528814d7b47c955bdc49b493ad6615bf8c7b671437378d2b36571c

Observation fdc8339c-7519-4115-9e19-722a6454a3f4 · outbound

This paper cites F¨ ath, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems F¨ ath, S

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.015730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:8e8a73383599d12bcf8c7ffc2ff6b1d30051d4321964d788e0271d0eab9cadb4

Observation e21993e8-cff9-43d3-a3c9-6c52fed7b4de · outbound

This paper cites Renner, G.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Renner, G

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.145885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:ea5eecaaa7acba1f17bfbf213607ca84d2d2e01bec26ad4efcd4e5c919c1651e

Observation 4652846b-b44f-43a7-9b82-fd5338fa0575 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.000094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:0ad98d185ef652d33288a45d5720c7d1520abae7cb23de58ed57981f19f3a932

Observation f301a5ec-f42b-4968-a78b-edcef03d2897 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.238948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:a9789c687520ba2d37c8b8e427676531db0b747ddd39c141a3222c9e8da51a4d

Observation e5ed0581-64bf-49f7-bf3b-32253e0213ca · outbound

This paper cites Gilbert, A phenomenological theory of damping in ferromagnetic materials, IEEE Transactions on Magnet- ics40, 3443 (2004).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Gilbert, A phenomenological theory of damping in ferromagnetic materials, IEEE Transactions on Magnet- ics40, 3443 (2004)

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.208122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:f5bd901d861b9e61c254d352c9f39b78f4551aeaf75d9c7f09a60bea7b4ded90

Observation fcc0b589-b912-4e5f-8581-d6d100ef1489 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.040498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:ef2ecfd6f4ffdfeffeeb7534cc7b17672a9f6ebfbf14153ff7df4730182f4fb8

Observation 347aac04-4432-4158-823f-9edada1420ef · outbound

This paper cites Kasuya, A Theory of Metallic Ferro- and Antiferro- magnetism on Zener’s Model, Prog.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Kasuya, A Theory of Metallic Ferro- and Antiferro- magnetism on Zener’s Model, Prog

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:58.993464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:0640789459b65dbc79fcf4f84643c090b3a91edd1cb6de4e6587f41e0829fdb5

Observation 0e3554f8-c03a-46bf-9dd2-45182ca2630b · outbound

This paper cites Yosida, Magnetic properties of Cu-Mn alloys, Phys.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Yosida, Magnetic properties of Cu-Mn alloys, Phys

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.214392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:67d841f7f4d6f0408177a660bb001c18b978ef664bc57b3bc03c33b48ff27779

Observation 6312875f-6e6b-41a7-babe-3844b734d2c8 · outbound

This paper cites Hellmann,Einf¨ uhrung in die Quantenchemie(Franz Deuticke, Leipzig, 1937).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Hellmann,Einf¨ uhrung in die Quantenchemie(Franz Deuticke, Leipzig, 1937)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.186264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:5de4a49d2c49f5a5dc3bfeec85f58c2f83d9851fd37551e3cb9874a7f4e57547

Observation 481bb149-4418-40e2-a64e-53134f3b0e6b · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.079283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:c3bc7c3018015ba5a07b7a8b0ebc1a25683bca5601de9f0965848f42588860cf

Observation aacb47c2-f849-4df3-bea3-a50fe25d7354 · outbound

This paper cites Weiße, G.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Weiße, G

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:58.983281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:73468bb372af006a41299994f9bd57a58df788cb6030944e2e9d440869f34e31

Observation 74d9f20f-4890-4c82-b95b-08a941f44681 · outbound

This paper cites Barros and Y.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Barros and Y

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.182794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:306d0bfcd2985bbb3172993ed0031ef366f128d8668be9b3dc8f3d31c9083e44

Observation 7abad535-e39d-4122-afd9-1ff31db480e2 · outbound

This paper cites Wang, G.-W.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Wang, G.-W

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.082945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:8ab1105beaff7a495682f9e1d61d4af47a8e29429f3427f3a38d2d9f02019e7c

Observation aac3f4e4-325c-4b09-ad5a-701d1955a849 · outbound

This paper cites Chern, K.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Chern, K

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.086835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:f46da08976ee4856ba185590cbc58a87ecbb77107046d3af23e0f1671d9be750

Observation 94cce169-6763-47f6-9b6f-e14f71eb050b · outbound

This paper cites Bhattacharyya, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Bhattacharyya, S

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:58.979744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:997c77c619912948c6494f1a8e1405d891329ae7b20ebf7be516fcc70eed5d35

Observation 893bc2b4-84ce-42e8-9e4a-75c387783e08 · outbound

This paper cites Kohn, Density functional and density matrix method scaling linearly with the number of atoms, Phys.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Kohn, Density functional and density matrix method scaling linearly with the number of atoms, Phys

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:58.986577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:763c95dcb43645788ce463b02493064f1b105f15a8ba21943e32efbbd1e2d891

Observation b64e8583-7bc6-441b-ad8a-045d61e5bd11 · outbound

This paper cites Prodan and W.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Prodan and W

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:58.973512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:6222a34e6313aa8c1d9f118504ee6a09dc86a9b5428349f15ec2936e966467a8

Observation 434f9eb1-5333-412b-8af7-6ac5dd6e85f7 · outbound

This paper cites Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:00.875855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:76cb89a4262bedcd0f947804e417c95a049765d9cef622433bc7e25160e47d1b

Observation 70991b4a-9155-4002-ae53-d89f8a9f9c41 · outbound

This paper cites Zhang, P.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Zhang, P

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:58.976663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:01582c3c219966b64160f2c6b2d7df1a1df8e378acf885b36786f1d185bdf159

Observation cce291d8-b736-40cb-9542-c8327322ce7d · outbound

This paper cites Cheng, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Cheng, S

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:58.989973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:f53adc2edf48d02bceffca569cfd3a5df811dd2214fc34ea8b931db359391a1e

Observation 1472b0e6-a897-447c-9aeb-565d47720cd0 · outbound

This paper cites Ghosh, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Ghosh, S

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.197408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:d074fd0d1005e5f5b551f1508740560f7ec26420bc2b6e9dea4bf00a23238f61

Observation c6fdc437-c022-4dee-ae99-c8ba546a644e · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.037799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:bc22f423ef9a55e5f63404122d0363435f1903471f3a534fdba5d7d7993182c3

Observation c8a06c33-96e0-44cd-b4de-0942eb62432a · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.121812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:6a6ae7d71f496bae778439ac348c4ee3a1fff91286c26ae965abf1c843d24792

Observation d629be71-67ad-4f65-845b-edd607f40d78 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.391944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:20aa46f4099d7640a308c58dd6c20c87ac8dd12fba439747ccdce86879155460

Observation baf044bf-72df-48f3-a2e1-0aaf2d1102e0 · outbound

This paper cites Cybenko, Approximation by superpositions of a sig- moidal function, Mathematics of Control, Signals and Systems2, 303 (1989).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Cybenko, Approximation by superpositions of a sig- moidal function, Mathematics of Control, Signals and Systems2, 303 (1989)

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.399263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:403c795490ec4de6e2930c32f9b079fa08509645e9ed48314df40c6b041c2853

Observation 6bcf6599-4a49-4e6c-9cff-7452985ef878 · outbound

This paper cites Hornik, M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Hornik, M

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.408133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:f5ec5b0fa4a8504b6733d1f1e5519af5db689a00c3eae112140907a838b7025a

Observation c1f1a770-fe1a-4532-941d-166c6c09328b · outbound

This paper cites Paszke, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Paszke, S

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.351862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:1b999c2ef8a153b11fafecabc6f4a1d42367095f16fe024f8a67071c666664bf

Observation 9d6a6cc7-de16-40c9-8d54-418788ada90e · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.357851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:b9eb235d10a0e2bf2ec1db87971e41bc4a7b305c8a2d0edcefd0399377919513

Observation 0acb0060-124c-42af-a1b6-6803229403f3 · outbound

This paper cites Behler, Atom-centered symmetry functions for con- structing high-dimensional neural network potentials, The Journal of Chemical Physics134, 074106 (2011).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Behler, Atom-centered symmetry functions for con- structing high-dimensional neural network potentials, The Journal of Chemical Physics134, 074106 (2011)

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.380865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:2c87ca6d47072d2bd04d962264b8b948cb00f3e2f4425023a4643c8959fd7370

Observation f9e36916-959c-4540-b557-ca4e0b58c364 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.402196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:c00a89d448edd161aa2517779d6a464c588d802cd988bcd4112324a43c1629ec

Observation 19e7b365-11f2-4cd1-beaa-6bc4638d08a7 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.342972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:94614fdd16367e88f5bb50bb1ce5c5cef1ffffb487ef5190b405f5c6b550080f

Observation 35e7e682-a98e-402e-816e-29f1c6f6b697 · outbound

This paper cites Himanen, M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Himanen, M

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.340194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:2088356348b5083f8925af201742f1cbd919c5dd92756dcf6b656956a6ddc2a1

Observation 039dba5b-abe8-4ff1-a385-b016f858910a · outbound

This paper cites Huo and M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Huo and M

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.345851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:48413ded19968cf51d77fc312fce8b3641853bc8ae271172e4a4d5dae977f675

Observation bae17070-dc3d-4832-a4ee-900ef473decb · outbound

This paper cites Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.337308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:466b3ad7f5734f65a2967451f901ac8f7fb7dbec4c00799b193d9e7bb129b910

Observation 4c186974-c126-42fb-a0fa-30a1459425a7 · outbound

This paper cites A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:57:06.751082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:59299f28019c8f7f586e2f15246d1cbb27819a660a1630b86c1534957ea7dd58

Observation 79e48cec-d4ce-4925-a19c-9f9491ca2611 · outbound

This paper cites Martin and C.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Martin and C

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.328524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:0a6e047bfcdf05f37602ceb98a0d8f8218e47cb746eaf6133297eba96981bec3

Observation 11424d57-ac3c-4235-97d2-7fd5b7f3cbd3 · outbound

This paper cites Akagi and Y.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Akagi and Y

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.325517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:67df8f42dae7512cce0ae3af43a75794ebec0711c825c7752653e85d5fad2502

Observation b547c04c-0dba-42fe-bb3d-58d47cc9f815 · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.331411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:a60b0b0fd88796b957253864fa69893bedca75817f91731099e6c788b32c77df

Observation b3ddb443-c112-4ceb-8a1c-f3e9676a0faa · outbound

This paper cites Azhar and M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Azhar and M

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.334202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:d85543a5b18f9a0e6da855ecc676b9b56db5d56adfe764c0632533d9e6d9e250

Observation e20d1ff8-7b5a-46d4-9e88-4070102fa6cf · outbound

This paper cites Chern and C.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Chern and C

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.313485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:44b137057bd35f8001134df440c6b46fa3562cff3f67186d3a4ff377f5e70412

Observation 3006ab9a-2788-4e42-b5de-a84d8ecd61ae · outbound

This paper cites Nandkishore, G.-W.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Nandkishore, G.-W

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.310580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:327115140ec56d87bcaa06806bfb8f664532e126aa7ae39883109d73b8b12061

Observation fb52d19f-98c1-4b5a-bbde-0d84bbca1fc1 · outbound

This paper cites Paszke, S.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Paszke, S

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.348979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:8d8e179e09f05b9442ad3a23112fb8f5221fb8170617ee8c870621f46caf68a4

Observation 9d1bb799-785c-454b-b114-dfd71e736eb4 · outbound

This paper cites Nair and G.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Nair and G

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.307587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:4b56ab67f0e541295a475048f0215a676a975ef79fcf7216cebbd517e7ef13a4

Observation c5a87258-d760-4259-a20e-276ff5abce85 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Adam: A Method for Stochastic Optimization

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-05-11T09:16:00.881923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:2ab5f2d45dfb5d1498d54c7bdef4fa875e0f44a7fd87c7b237daaaed7d5d1c88

Observation 43f54b7f-6a33-4a97-b5f3-a4014e772261 · outbound

This paper cites Stone, Cross-validatory choice and assessment of sta- tistical predictions, Journal of the royal statistical soci- ety: Series B (Methodological)36, 111 (1974).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Stone, Cross-validatory choice and assessment of sta- tistical predictions, Journal of the royal statistical soci- ety: Series B (Methodological)36, 111 (1974)

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.290482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:31a25f195c3e4db8ab83f61cc649ac13c76f2f042bab885dce439ed696c90449

Observation d803985c-7a6e-435d-9519-59ad4766148b · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.286841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:d3552bd3dde83cf37b3bb67938364276bec92b60cff14bbaa927be12945238e6

Observation cac7cfcd-8130-4d26-bfbc-b9c198f426d8 · outbound

This paper cites Fazekas,Lecture Notes on Electron Correlation and Magnetism(WORLD SCIENTIFIC, 1999).

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Fazekas,Lecture Notes on Electron Correlation and Magnetism(WORLD SCIENTIFIC, 1999)

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.304446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:7eedb08e860e25cf477c83c12244e6fc7c8fa4917aebbd4db8a4a63c6df63d01

Observation 7953be21-4bf7-45c4-811d-34a4bb957ae7 · outbound

This paper cites Akagi, M.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Akagi, M

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.280526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:f660fdd902d77da5279f4b9e999b9b620a2f87eb90f455246f11c2fac03e4cee

Observation 995014f6-6f0b-4a9d-8664-73998ed67d2d · outbound

This paper cites an unresolved cited work.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:44:59.271436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:7b1000cfa2d1e983e15e2107681d54748aef1bd6a4b3e9fef029e4a39ec2c2e3

Observation 2a811e9f-dfa5-4553-86d2-dd60a3a4ff7e · outbound

This paper cites Puri and V.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Puri and V

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:44:59.274256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:09:48.337683Z digest=sha256:3ae159bb198437a0259ad5c9e20d9465817e4574193ab90e8206d369152c746c

Pith citing papers

No inbound Pith citation observations are available.