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Paper Citation Record · LEDGER

Expansive Natural Neural Gradient Flows for Energy Minimization

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2507.13475.

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

pith.paper-citation-record.v1
2507.13475 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:30:10.046202Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T15:15:06.430599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:23:32.774247Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact5
  • verified fuzzy16
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9de8e338-3cdd-4cfb-a19e-bff303f0ad09 · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0f96b530-01c9-403c-a6df-75607b2e4e7a · outbound

This paper cites Ambrosio, N.

Expansive Natural Neural Gradient Flows for Energy Minimization Ambrosio, N

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 611d780a-04ec-46c1-859b-972bb865d202 · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0c7d431a-0af3-4965-9a0e-f27533a9092d · outbound

This paper cites Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy.

Expansive Natural Neural Gradient Flows for Energy Minimization Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:30:09.943952Z digest=sha256:c5efca579c72eb5d63334e699a0a5963b90ebc2ac2dfc96c60d37a0ad8994da0

Observation b2bfd01c-444e-4f34-b0c4-394800b20fdc · outbound

This paper cites Barron, A.

Expansive Natural Neural Gradient Flows for Energy Minimization Barron, A

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6be23b3e-dbde-43cd-8188-1426836dbd3d · outbound

This paper cites Bruna, B.

Expansive Natural Neural Gradient Flows for Energy Minimization Bruna, B

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 07273a16-e864-4ca5-a41b-a912576f5a10 · outbound

This paper cites Berman, B.

Expansive Natural Neural Gradient Flows for Energy Minimization Berman, B

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f938a8ae-12db-4318-bbdd-98bc62b57f75 · outbound

This paper cites Best approximation results and essential boundary conditions for novel types of weak adversarial network discretizations for PDEs.

Expansive Natural Neural Gradient Flows for Energy Minimization Best approximation results and essential boundary conditions for novel types of weak adversarial network discretizations for PDEs

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:30:10.365337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f226a209-ea86-4bb4-90bd-01b03c7ebbfa · outbound

This paper cites Binev, A.

Expansive Natural Neural Gradient Flows for Energy Minimization Binev, A

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6e10577a-ac35-4bc4-adac-d9efcb6c9d75 · outbound

This paper cites Binev, A.

Expansive Natural Neural Gradient Flows for Energy Minimization Binev, A

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a87f965f-83b2-4ccb-8544-add97cf1c24b · outbound

This paper cites Bao and X.

Expansive Natural Neural Gradient Flows for Energy Minimization Bao and X

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bc11dfa1-2e8c-4b98-9d64-9735f700ddec · outbound

This paper cites Berrone and C.

Expansive Natural Neural Gradient Flows for Energy Minimization Berrone and C

Reference 12

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62b09580-0eb7-47ef-b13e-54c118d5373b · outbound

This paper cites Cayci, Gauss-newton dynamics for neural networks: A Riemannian optimization perspective, arXiv:2412.14031v3 [math.OC], December 2024.

Expansive Natural Neural Gradient Flows for Energy Minimization Cayci, Gauss-newton dynamics for neural networks: A Riemannian optimization perspective, arXiv:2412.14031v3 [math.OC], December 2024

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2fcda47-5200-470b-801d-f1b2f12382bb · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 37e6fc22-c2e9-4be1-966c-084ec7818b80 · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 15

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f14b72ee-2bcc-4c10-a1ed-cd9d4a396a7e · outbound

This paper cites Dahmen, Z.

Expansive Natural Neural Gradient Flows for Energy Minimization Dahmen, Z

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 84b4cf3e-e4e7-4983-bb36-d5522f048521 · outbound

This paper cites Dahmen, M.

Expansive Natural Neural Gradient Flows for Energy Minimization Dahmen, M

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 172a3aba-e6c3-4b41-ad8c-07df224a3e18 · outbound

This paper cites A certified wavelet-based physics-informed neural network for the solution of parameterized partial differential equations.

Expansive Natural Neural Gradient Flows for Energy Minimization A certified wavelet-based physics-informed neural network for the solution of parameterized partial differential equations

Reference 18

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3a596adc-790d-4c4d-8151-2bb63852b72f · outbound

This paper cites Chen and J.

Expansive Natural Neural Gradient Flows for Energy Minimization Chen and J

Reference 19

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 591fdb4c-f10b-4100-a56d-a4a00b3cf4e4 · outbound

This paper cites Goodfellow, Y.

Expansive Natural Neural Gradient Flows for Energy Minimization Goodfellow, Y

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1ded0ac6-e19d-4929-a119-33e493d2d5fd · outbound

This paper cites Goodfellow, J.

Expansive Natural Neural Gradient Flows for Energy Minimization Goodfellow, J

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a4abfee3-29d2-4302-93ae-4d47455954fa · outbound

This paper cites Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics.

Expansive Natural Neural Gradient Flows for Energy Minimization Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics

Reference 22

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bff7fb17-66de-4a32-9505-5be3e22a60db · outbound

This paper cites Jordan, D.

Expansive Natural Neural Gradient Flows for Energy Minimization Jordan, D

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5b61c6b7-6573-4a59-b1d1-6a87e3989bec · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ba081803-6dc3-458f-add1-60ce1d8ac790 · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 25

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 36ec8ab8-34af-4901-a90d-0e59ce7025be · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8751f52c-9dfb-40e0-91f6-0b017f416da7 · outbound

This paper cites Li and G.

Expansive Natural Neural Gradient Flows for Energy Minimization Li and G

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a388723c-b393-45df-a542-da54d9caca0b · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 28

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 565fc009-0851-4755-ae28-6f0a8d396d71 · outbound

This paper cites Ollivier.

Expansive Natural Neural Gradient Flows for Energy Minimization Ollivier

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5503de50-fe55-4057-9c0f-05bff5e816a1 · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dde54acd-cfc5-4b1e-87f4-882241f7c2ac · outbound

This paper cites Taylor and D.

Expansive Natural Neural Gradient Flows for Energy Minimization Taylor and D

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 74da786d-712f-47fb-aeea-c7ccedbb4dcc · outbound

This paper cites Ruthotto, S.

Expansive Natural Neural Gradient Flows for Energy Minimization Ruthotto, S

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:30:10.404613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a3856f87-6d9d-4720-9941-780cf9362f97 · outbound

This paper cites Kovachki, Z.

Expansive Natural Neural Gradient Flows for Energy Minimization Kovachki, Z

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:30:10.396632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a2b5242f-78b1-4dc5-8ab7-365830e8aab2 · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 34

Resolution
verified exact
doi, observed 2026-08-06T16:30:10.071471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 648ab524-2f12-4ad0-93bb-f648fce62611 · outbound

This paper cites an unresolved cited work.

Expansive Natural Neural Gradient Flows for Energy Minimization Unresolved cited work

Reference 35

Resolution
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raw_fallback, observed 2026-08-06T16:30:10.388968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ddc6307a-6446-4312-9472-ef4a7ade0be0 · outbound

This paper cites Yarotsky, Error bounds for approximations with deep ReLu networks, Neural Networks 94, (2017), 103–114.

Expansive Natural Neural Gradient Flows for Energy Minimization Yarotsky, Error bounds for approximations with deep ReLu networks, Neural Networks 94, (2017), 103–114

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:30:10.381569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation da4f0365-732b-42f2-a89d-4dbf5529e96d · outbound

This paper cites Monge-Amp\`ere Flow for Generative Modeling.

Expansive Natural Neural Gradient Flows for Energy Minimization Monge-Amp\`ere Flow for Generative Modeling

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T16:30:10.042779Z

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source=pdf_text observed=2026-08-06T16:30:10.042779Z digest=sha256:1c3ed06397c88b4185febc978894dfb5717a030b5ae675bc8d6d5a9d0b6979e1

Observation 4bb4cd05-318f-4a4f-a1f8-7b6d75153883 · outbound

This paper cites Zang and G.

Expansive Natural Neural Gradient Flows for Energy Minimization Zang and G

Reference 38

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raw_fallback, observed 2026-08-06T16:30:10.184018Z

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source=pdf_text observed=2026-08-06T16:30:10.046202Z digest=sha256:1e999013297cedb9ecee439814ab6b497e195d243a53326bf1e4736444fadaf4

Pith citing papers

Observation 7520571b-db3b-4905-a63b-20373a4874ea · inbound

A Dirac-Frenkel-Onsager principle: Instantaneous residual minimization with gauge momentum for nonlinear parametrizations of PDE solutions cites this paper.

A Dirac-Frenkel-Onsager principle: Instantaneous residual minimization with gauge momentum for nonlinear parametrizations of PDE solutions Expansive Natural Neural Gradient Flows for Energy Minimization

Reference 2

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verified exact
arxiv_id, observed 2026-05-11T15:31:14.669902Z

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Observation 514e31f8-48d6-493a-8925-c941deaac5c9 · inbound

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework cites this paper.

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework Expansive Natural Neural Gradient Flows for Energy Minimization

Reference 4

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arxiv_id, observed 2026-06-29T15:23:32.775663Z

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source=pdf_text observed=2026-06-29T15:15:06.430599Z digest=sha256:d2d137f286030a3b23a1e9f6c4868a90673e04e1f275008827d4aab89609c3d6