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Paper Citation Record · LEDGER

Proportional infinite-width infinite-depth limit for deep linear neural networks

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 4 inbound Pith citation observations for arXiv:2411.15267.

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

pith.paper-citation-record.v1
2411.15267 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:05:40.879958Z

measured 40 of 40 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:36:54.155047Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:45:44.976159Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd0a00d8-e03e-48f0-914b-cc8aa24e47bb · outbound

This paper cites Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks.

Proportional infinite-width infinite-depth limit for deep linear neural networks Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:05:40.710001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.710001Z digest=sha256:16b16de028942629bbba3676869a68eeb95b827e379ee2c2c48118e8f0f2f810

Observation 03361589-4e1e-481b-b54c-d088f265e4f9 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 2

Resolution
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raw_fallback, observed 2026-08-12T15:05:41.499481Z

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=arxiv_source observed=2026-08-12T15:05:40.716040Z digest=sha256:66dab8c0b66560f29984541cf1810b0b41933b1352546cecbfa9e839f27d19f6

Observation b1d0c7ad-0156-421b-a500-1d11d4788ce2 · outbound

This paper cites Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers.

Proportional infinite-width infinite-depth limit for deep linear neural networks Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T15:05:40.721116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.721116Z digest=sha256:373f1dbd6912c19bfcdf0b4a29a8d6cba585813389968d475a563c4b5d13bf3e

Observation 40077ef5-764e-403d-bdad-265e5e88c5ae · outbound

This paper cites Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions.

Proportional infinite-width infinite-depth limit for deep linear neural networks Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:05:41.010962Z

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=arxiv_source observed=2026-08-12T15:05:40.726837Z digest=sha256:2fd97dd6d6adf7e6ce5b6eaf347e4b8c08d3fb7f6cd9ae09e7a1c8b29e8ed2a3

Observation 517cccd1-d1a3-481c-94dd-0250d3ab9282 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 5

Resolution
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raw_fallback, observed 2026-08-12T15:05:41.482859Z

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 d33485cb-9400-4a60-bb05-4fd05351725d · outbound

This paper cites and Bach, F.

Proportional infinite-width infinite-depth limit for deep linear neural networks and Bach, F

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.467459Z

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=arxiv_source observed=2026-08-12T15:05:40.737618Z digest=sha256:a47640cb983ff625e93a0cc370a08884b221204915c6dfadf6e3f4d32c3fc27b

Observation 162afd48-0188-485c-b171-378a63eea285 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 7

Resolution
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raw_fallback, observed 2026-08-12T15:05:41.451716Z

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=arxiv_source observed=2026-08-12T15:05:40.742982Z digest=sha256:e40b30ce074f0f42b0737e9dd722f3610badc5c3798f08c1d6759fa173e0fc85

Observation c354028d-2ea7-4338-9d61-38719a83fef1 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 8

Resolution
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raw_fallback, observed 2026-08-12T15:05:41.436472Z

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=arxiv_source observed=2026-08-12T15:05:40.747992Z digest=sha256:66ed4b1e8064307ebd3eb039d157f84a5622776b25840c7464ac99c177254054

Observation cf8c1982-4a26-4f9a-b45d-4a220fa05183 · outbound

This paper cites Matthews, A.

Proportional infinite-width infinite-depth limit for deep linear neural networks Matthews, A

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.421567Z

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=arxiv_source observed=2026-08-12T15:05:40.752623Z digest=sha256:71d31b7e66082795ecc400a2ed40c46ba0c6e8a778ea09b9f6c2d86e6d1f799e

Observation 837dc0d9-3a41-4b9b-9475-a53e51c8fb65 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 10

Resolution
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raw_fallback, observed 2026-08-12T15:05:41.405088Z

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=arxiv_source observed=2026-08-12T15:05:40.757249Z digest=sha256:026cbb8cbdceb654bcdb1d90660892bc9313af391a4d3644cc7ad75bdc7a0f95

Observation 6a6ac3b4-187f-4de0-a2b5-03415bdf0963 · outbound

This paper cites Quantitative CLTs in Deep Neural Networks.

Proportional infinite-width infinite-depth limit for deep linear neural networks Quantitative CLTs in Deep Neural Networks

Reference 11

Resolution
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no resolver link, observed 2026-08-12T15:05:40.761888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.761888Z digest=sha256:b10e231132b328543d99886984d46aeb424588f7011873811296017ed490a4a5

Observation 6e18a11d-beec-4e92-9d89-412e7ca92412 · outbound

This paper cites Large-width asymptotics for ReLU neural networks with $\alpha$-Stable initializations.

Proportional infinite-width infinite-depth limit for deep linear neural networks Large-width asymptotics for ReLU neural networks with $\alpha$-Stable initializations

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:05:40.970631Z

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=arxiv_source observed=2026-08-12T15:05:40.767002Z digest=sha256:f5c054c57d9fab4a586608867ce360b4c4bb15bad5c061555fa5e278fee2a456

Observation a4459453-7391-46fc-beb1-f45fccff1386 · outbound

This paper cites E., and Aitchison, L.

Proportional infinite-width infinite-depth limit for deep linear neural networks E., and Aitchison, L

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.388269Z

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=arxiv_source observed=2026-08-12T15:05:40.771891Z digest=sha256:ab89ae7a51d7abbe7f0fe144c3c63b8fa20ec0231c8fd489d15d88a95b199128

Observation 7649d7fc-8ca1-4fd3-ac59-510238b7962a · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T15:05:40.776317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.776317Z digest=sha256:c40ef971de82bb3e7ed97a1e8cd1e031e1162bad75172fd8ef58b62aae940e8e

Observation 6f834a14-9901-4045-95e5-d6445480568a · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 15

Resolution
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raw_fallback, observed 2026-08-12T15:05:41.372265Z

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 a1b4532d-6fa1-4376-8759-73419fac5569 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.355689Z

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=arxiv_source observed=2026-08-12T15:05:40.785814Z digest=sha256:f01a0b2254b10f30d9efa0a2cf9f8c1e86255038fd52160ee0bdf11087886aba

Observation cf041b6a-b5a9-4fdb-a2af-4d5bf14451c7 · outbound

This paper cites and Zlokapa, A.

Proportional infinite-width infinite-depth limit for deep linear neural networks and Zlokapa, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.339201Z

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=arxiv_source observed=2026-08-12T15:05:40.790410Z digest=sha256:d8a90e3ceb55d8f319fbfc3aa70eee241194aa219d353a021c98cfadba9f9e13

Observation 5722727b-4655-4c7d-974e-88363e870aed · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.322706Z

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=arxiv_source observed=2026-08-12T15:05:40.795158Z digest=sha256:421fd91de668ee16274547ed30dc62c0c8184920ac27936879ba17490733658f

Observation e12cacbe-358a-4b22-9170-f5dcfa29a3e1 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.303841Z

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=arxiv_source observed=2026-08-12T15:05:40.799933Z digest=sha256:552cd3654062102cff14996a4da0aadf4345e0398e4b5b15ae1caa40a1ca1b94

Observation 7110dce9-ce6c-4f94-b5bf-ef8a44fa47fe · outbound

This paper cites and Shreve, S.

Proportional infinite-width infinite-depth limit for deep linear neural networks and Shreve, S

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.286945Z

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=arxiv_source observed=2026-08-12T15:05:40.804720Z digest=sha256:5c4680a7823669aae35a94f41afeddc05a3ee0054c246300821544af4bc98c70

Observation f5fcc66e-2127-4598-8d7e-9850f2940da7 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.269655Z

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 95739927-d124-4f15-a4d4-a67d0b5dab79 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 22

Resolution
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raw_fallback, observed 2026-08-12T15:05:41.253066Z

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=arxiv_source observed=2026-08-12T15:05:40.814266Z digest=sha256:5f941791e985e581022da8fb7319c5102e113446c341c89d001585f795fbecb1

Observation a2da3b25-81b5-4130-8e86-ae612da2f390 · outbound

This paper cites The large learning rate phase of deep learning: the catapult mechanism.

Proportional infinite-width infinite-depth limit for deep linear neural networks The large learning rate phase of deep learning: the catapult mechanism

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T15:05:40.818846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.818846Z digest=sha256:34b44956bb2fb60cfe1321c05f72e9a72f40c7d2b6ba60a1c4b5cf29d5800618

Observation 6b2629e8-731c-4313-96c1-f5c7345288e0 · outbound

This paper cites and Sompolinsky, H.

Proportional infinite-width infinite-depth limit for deep linear neural networks and Sompolinsky, H

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.236737Z

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=arxiv_source observed=2026-08-12T15:05:40.823854Z digest=sha256:9686b2dae50a103ec46332142ea7cd85f46a33203c1c6b645acd9c82fe000197

Observation df1db75f-1ff2-4d0a-97a3-8af6935111aa · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T15:05:40.828479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.828479Z digest=sha256:0525d48320f57f8fb68f30348963b1cf40382e198a5f0dbfbdebf7c3c547d66b

Observation b817fe34-2d72-46a1-9859-38644204ca0c · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.209661Z

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 2c781661-7781-4fef-942b-851ff1fe9715 · outbound

This paper cites A., Pennington, J., and Sohl-dickstein, J.

Proportional infinite-width infinite-depth limit for deep linear neural networks A., Pennington, J., and Sohl-dickstein, J

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.194162Z

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=arxiv_source observed=2026-08-12T15:05:40.837733Z digest=sha256:0c686f12d7da200970e438eb1553d75a4d4538de0eeda5c325c571695de0af55

Observation db1e2108-07c0-4cc7-aeb7-922b8791167b · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.177334Z

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=arxiv_source observed=2026-08-12T15:05:40.842691Z digest=sha256:d8b4d59592560ecd823e2cb1aaad76110dbba2b4dd2b160c83b09602b84ad7ab

Observation 82b897fa-95bd-4e53-9583-ddf47c98022a · outbound

This paper cites and Vanden-Eijnden, E.

Proportional infinite-width infinite-depth limit for deep linear neural networks and Vanden-Eijnden, E

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.160353Z

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=arxiv_source observed=2026-08-12T15:05:40.847358Z digest=sha256:45d96dd38ff5f60ff251eb431d9b2564c1f4b3d88ea2f0332dc4849e6684f0d5

Observation f19449a7-70bd-4a56-88be-57509c2ec259 · outbound

This paper cites M., McClelland, J.

Proportional infinite-width infinite-depth limit for deep linear neural networks M., McClelland, J

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.144263Z

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=arxiv_source observed=2026-08-12T15:05:40.852029Z digest=sha256:5562701b92c324a4d057dd640243ce93662d361f5a12b15ff8f5a8c6d62baece

Observation 8ce159fd-3554-489b-8a50-217f9ebda150 · outbound

This paper cites M., McClelland, J.

Proportional infinite-width infinite-depth limit for deep linear neural networks M., McClelland, J

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.126979Z

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=arxiv_source observed=2026-08-12T15:05:40.856303Z digest=sha256:b95ed04e58d7c842b399f3c44f8246c17a297fc7e7ec5fd8c026b645fd56fdf2

Observation 322dabf1-f578-4a3b-ad76-847746722c2d · outbound

This paper cites and Spiliopoulos, K.

Proportional infinite-width infinite-depth limit for deep linear neural networks and Spiliopoulos, K

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.111201Z

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=arxiv_source observed=2026-08-12T15:05:40.861081Z digest=sha256:96d50fa653eb2f26478efdac387cdac561a30da6970d798690244c53632448ee

Observation 6263c103-2046-477c-a23a-fac1c310b486 · outbound

This paper cites Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes.

Proportional infinite-width infinite-depth limit for deep linear neural networks Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T15:05:40.865469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.865469Z digest=sha256:d5e42190fe2c146785dda13c1925b58ae86c9bbbeafa589dba13a9119cd8f013

Observation fc80af75-8971-41c3-873d-2dbaad7bf5be · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.094647Z

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=arxiv_source observed=2026-08-12T15:05:40.870402Z digest=sha256:6088b99557b0894732509059173a825b76c741310d690ef16a4eab3fd65160b4

Observation 86d3e2db-f3ae-434f-991c-4ed664e809fc · outbound

This paper cites and Hu, E.

Proportional infinite-width infinite-depth limit for deep linear neural networks and Hu, E

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:05:41.078254Z

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=arxiv_source observed=2026-08-12T15:05:40.874939Z digest=sha256:8afac4fe984ed413a2333dc89277436e2e6e77535ec578e54f54339dde6e11f6

Observation e9d0532d-2a36-4587-b11f-9595a01e6380 · outbound

This paper cites an unresolved cited work.

Proportional infinite-width infinite-depth limit for deep linear neural networks Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:05:41.061861Z

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=arxiv_source observed=2026-08-12T15:05:40.879958Z digest=sha256:59ec384765c67e753526b873d10c68d820bbd304bcfb43a006efb07c48d21b47

Pith citing papers

Observation a96e1a70-a7fa-46f0-86d6-50d78a46b783 · inbound

Large deviation principles for convolutional Bayesian neural networks cites this paper.

Large deviation principles for convolutional Bayesian neural networks Proportional infinite-width infinite-depth limit for deep linear neural networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-15T14:03:39.869199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:03:39.869199Z digest=sha256:50b8474e51885b9c9321d5031ab7ae5593e4b6fe3a67a557d316af2ee16cf9fc

Observation 4fed401a-734c-434e-8f67-1414c29a93ec · inbound

Bayesian Inference with Shaped Deep Non-linear MLPs cites this paper.

Bayesian Inference with Shaped Deep Non-linear MLPs Proportional infinite-width infinite-depth limit for deep linear neural networks

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T20:42:37.105524Z

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=2026-06-28T20:41:59.878583Z digest=sha256:94e9a3c65710d1ae646463cd2052ec0379caf25d5795a41cfc0edf4f13109b22

Observation f64594c9-097b-4b2c-9f58-640d6d4ed791 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Proportional infinite-width infinite-depth limit for deep linear neural networks

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:45:44.977904Z

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=2026-07-01T01:42:14.145227Z digest=sha256:00dd76aa4c6e188a545d01c6ba9d6c524a431ca7377a632aac15d6e447588cb4

Observation 7659bc2c-b226-408c-b51d-04903f765440 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Proportional infinite-width infinite-depth limit for deep linear neural networks

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T09:36:54.155047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:36:54.155047Z digest=sha256:4289c20d4f66851b3ff7d01f9fc4e09a62963acbf94032de05e3765883ab8efe