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Paper Citation Record · LEDGER

A ZeNN architecture to avoid the Gaussian trap

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.20553.

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

pith.paper-citation-record.v1
2505.20553 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:42.821519Z

measured 33 of 33 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 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

33 of 33 outbound references displayed

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  • verified fuzzy15
  • unresolved16
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 24ff2c9b-4e4b-4e75-b2f0-235ee3b09baa · outbound

This paper cites Why bigger is not always better: on finite and infinite neural networks.

A ZeNN architecture to avoid the Gaussian trap Why bigger is not always better: on finite and infinite neural networks

Reference 1

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Observation bbea2125-384a-49d4-adde-81d5c6e159dd · outbound

This paper cites Arora, S.

A ZeNN architecture to avoid the Gaussian trap Arora, S

Reference 2

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Observation 8b7fe50e-6ee7-4b1e-9c47-121ff2c5b3eb · outbound

This paper cites Arora, S.

A ZeNN architecture to avoid the Gaussian trap Arora, S

Reference 3

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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 449185db-ac7c-4eb3-a641-7ac844677583 · outbound

This paper cites Neural tangent kernel at initialization: linear width suffices.

A ZeNN architecture to avoid the Gaussian trap Neural tangent kernel at initialization: linear width suffices

Reference 4

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Observation 7737afdf-6f53-4986-9e09-9091802e759d · outbound

This paper cites Towards understanding the spectral bias of deep learning.

A ZeNN architecture to avoid the Gaussian trap Towards understanding the spectral bias of deep learning

Reference 5

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Source-reported events for the cited work

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Observation 46916288-ba21-4ea6-bd94-19ed3c2882ac · outbound

This paper cites Wide neural networks: From non-gaussian random fields at initialization to the NTK geometry of training.

A ZeNN architecture to avoid the Gaussian trap Wide neural networks: From non-gaussian random fields at initialization to the NTK geometry of training

Reference 6

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Observation 6012550a-c592-413b-8cab-b4237c434d2b · outbound

This paper cites Jena climate dataset.

A ZeNN architecture to avoid the Gaussian trap Jena climate dataset

Reference 7

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Observation f82467e2-6b82-46e7-9900-6761fe0fbcb4 · outbound

This paper cites Mathematical aspects of deep learning.

A ZeNN architecture to avoid the Gaussian trap Mathematical aspects of deep learning

Reference 8

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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 014fb4ab-672b-4fc3-a1a1-aaec2249db86 · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.

A ZeNN architecture to avoid the Gaussian trap Approximation capabilities of multilayer feedforward networks

Reference 9

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Observation d477264d-49c3-4f70-8c6e-f400510c4d18 · outbound

This paper cites Jacot, G.

A ZeNN architecture to avoid the Gaussian trap Jacot, G

Reference 10

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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 b37e49f5-6555-4551-8d3b-6e99de032b89 · outbound

This paper cites Unsupervised Neural Networks for Quantum Eigenvalue Problems.

A ZeNN architecture to avoid the Gaussian trap Unsupervised Neural Networks for Quantum Eigenvalue Problems

Reference 11

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Observation a7c4f79e-ff0c-4829-ac3f-9b79ffa3b5d6 · outbound

This paper cites Physics-Informed Neural Networks for Quantum Eigenvalue Problems.

A ZeNN architecture to avoid the Gaussian trap Physics-Informed Neural Networks for Quantum Eigenvalue Problems

Reference 12

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Observation f97ab870-ac03-4a9d-8adb-aa05cc07d561 · outbound

This paper cites Generalization ability of wide neural networks on R.

A ZeNN architecture to avoid the Gaussian trap Generalization ability of wide neural networks on R

Reference 13

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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 67c89f51-05fc-4dbd-94d6-7974eec76ecc · outbound

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A ZeNN architecture to avoid the Gaussian trap Unresolved cited work

Reference 14

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Observation 3f68e172-3596-42df-a7ee-675bbd92a42e · outbound

This paper cites Schoenholz, Jeffrey Pennington, Ben Adlam, Lechao Xiao, Roman Novak, and Jascha Sohl-Dickstein.

A ZeNN architecture to avoid the Gaussian trap Schoenholz, Jeffrey Pennington, Ben Adlam, Lechao Xiao, Roman Novak, and Jascha Sohl-Dickstein

Reference 15

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Observation dd096a38-4fb7-4db6-bb74-4d53a251f60e · outbound

This paper cites Lin, Allan Pinkus, and Shimon Schocken.

A ZeNN architecture to avoid the Gaussian trap Lin, Allan Pinkus, and Shimon Schocken

Reference 16

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Observation a2147cd3-5d77-4738-9c8b-9a8ee631710e · outbound

This paper cites Statistical optimality of deep wide neural networks.

A ZeNN architecture to avoid the Gaussian trap Statistical optimality of deep wide neural networks

Reference 17

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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 2bb43f8f-bbc9-4a14-85f4-e40eba91cfdb · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

A ZeNN architecture to avoid the Gaussian trap KAN: Kolmogorov-Arnold Networks

Reference 18

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Observation 0af213b2-f87e-4cdc-8baf-998033f198c1 · outbound

This paper cites Multi-scale deep neural network (mscalednn) for solving poisson-boltzmann equation in complex domains.

A ZeNN architecture to avoid the Gaussian trap Multi-scale deep neural network (mscalednn) for solving poisson-boltzmann equation in complex domains

Reference 19

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Observation 6e59a18e-70ca-49cb-bcea-a2ddfdb37f0f · outbound

This paper cites On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains.

A ZeNN architecture to avoid the Gaussian trap On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains

Reference 20

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Observation 59e23fe7-637d-4174-af4d-28c0f47be6a0 · outbound

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A ZeNN architecture to avoid the Gaussian trap Unresolved cited work

Reference 21

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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 424d6467-4f2c-4a5c-ba12-2fac5d17d3a7 · outbound

This paper cites On the spectral bias of neural networks.

A ZeNN architecture to avoid the Gaussian trap On the spectral bias of neural networks

Reference 22

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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 d6402c6d-b7f4-4711-a39f-f18ca3e564bd · outbound

This paper cites The limitations of large width in neural networks: A deep gaussian process perspective.

A ZeNN architecture to avoid the Gaussian trap The limitations of large width in neural networks: A deep gaussian process perspective

Reference 23

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Observation 4dbf21d4-cd6a-49c4-a885-a0d51ae568b7 · outbound

This paper cites Martel, Alexander W.

A ZeNN architecture to avoid the Gaussian trap Martel, Alexander W

Reference 24

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Observation 0da6d759-4c58-40f1-9961-02eaddd04cf0 · outbound

This paper cites fourier-feature-networks.

A ZeNN architecture to avoid the Gaussian trap fourier-feature-networks

Reference 25

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Observation 4a50c8fe-85ca-4bba-becc-34b3e766de29 · outbound

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A ZeNN architecture to avoid the Gaussian trap Unresolved cited work

Reference 26

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Observation 9d6a6772-cdbb-42bf-aa0e-061bbce7cca3 · outbound

This paper cites On the eigenvector bias of fourier feature net- works: From regression to solving multi-scale pdes with physics-informed neural networks.

A ZeNN architecture to avoid the Gaussian trap On the eigenvector bias of fourier feature net- works: From regression to solving multi-scale pdes with physics-informed neural networks

Reference 27

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Observation 41335b8f-584e-467f-ac71-528bd2e812ab · outbound

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A ZeNN architecture to avoid the Gaussian trap Fourier features let networks learn high frequency functions in low dimensional domains

Reference 29

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Observation cfb6856f-6604-481a-8abb-1ba2473e29a7 · outbound

This paper cites Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation.

A ZeNN architecture to avoid the Gaussian trap Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation

Reference 30

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Observation c0a210b3-d598-4137-9a34-03e5d45ad7b5 · outbound

This paper cites An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks.

A ZeNN architecture to avoid the Gaussian trap An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks

Reference 31

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Observation de43c385-8f76-459f-9082-0ad5bbd49581 · outbound

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A ZeNN architecture to avoid the Gaussian trap Yang and E

Reference 32

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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 ba2a9b05-ceeb-4398-9dbe-34f6ff41977d · outbound

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A ZeNN architecture to avoid the Gaussian trap Unresolved cited work

Reference 2020

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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 2031aa42-4661-40d5-a54d-274f5dc7f218 · outbound

This paper cites Generalization Ability of Wide Neural Networks on $\mathbb{R}$.

A ZeNN architecture to avoid the Gaussian trap Generalization Ability of Wide Neural Networks on $\mathbb{R}$

Reference 2023

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Pith citing papers

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