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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 2026-08-12T06:34:41.77262+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
unresolved
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.716040Z digest=sha256:842f80f98435dc358664340a3ada2cd2b9c96db17506ad11b2eb615e481a9a16

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.726837Z digest=sha256:22789ed9a2123cd40a302626fda6d973598fe9c89716c5d1cd0f90ed2cfd31af

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
unresolved
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.732372Z digest=sha256:56855f5260b86038553d2bc60eeb57f0f89bac43b6ffc0933bd7e20589081de6

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.737618Z digest=sha256:356c88115dd4ea1d8f8f5835f9c10e9a8f2fbd54dabceefa4f8edcdd074be969

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
unresolved
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.742982Z digest=sha256:842de35cbcdd39b43d13cdd2048dd482023a35b18b7eb75c2292e57b363554d6

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
unresolved
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.747992Z digest=sha256:ba4148aac619f840c58c5c5ea67ff7290ba53b99606171079e5120831de628a4

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.752623Z digest=sha256:18794816e0d5d3462581533a7cc242522f90ed5ed80964644247e3ca6dbcdf16

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
unresolved
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.757249Z digest=sha256:a2759863f4b6e587faf425240e8824e07e5e44ef9909f3ae541a2f99ff421578

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.767002Z digest=sha256:2c89fd7f0fd2a33b17cbc1ab5e4322fa0f9acab07a365caf259b81a81d3acff1

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.771891Z digest=sha256:41f790fd5ac9432a2d4ec526efc86394400d26a92209c9e09a788833880d8173

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
unresolved
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.781164Z digest=sha256:f15cbff5d3b19399684ee3465a651a58612d3c047a750a12a348ef027583406e

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.785814Z digest=sha256:ed29236e33b4a556e89c1421b13f600c15a162a1643fd822474d7692c12bdf58

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.790410Z digest=sha256:9feddf11c81162ee5ced867e46dbe989beb4ec33ddf6b72a329d7ad5672af9e1

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.795158Z digest=sha256:e3dadbcdcc0b177abcb7664c8d2909af67761a238c973f301e983fb41f811c03

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.799933Z digest=sha256:2bc64b87c926b98e7b00fd26258558a7ece17beaf58f297215083ba87648c616

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.804720Z digest=sha256:2133a46145af4ddccd2f11b75f1109a21f38bdfd9385db9534f40c5d3475a59d

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.809582Z digest=sha256:893e8795011f15d4aff04e7b0c652456c236633cd7d0a1d45200e2c75369f486

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
unresolved
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.814266Z digest=sha256:b12def0be7d73d0a412bdd088a676a385b79be3e528f2bdf8bb3afa465cd2008

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.823854Z digest=sha256:e0478857464243901a98efd9ed6625a42706795af74e176bdd778b8d180e32b8

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.833053Z digest=sha256:8e248875b1810f2536a1ae9d0aa4708df34d9b0d87cd9073d888b5e48ed5e61f

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.837733Z digest=sha256:618a251a830cd738558d9a5d0e1e2464d94ea1b2ce844dd69a8b171ca0076ea4

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.842691Z digest=sha256:6f16d53eec51997368f33115b55a30dd5ebf871765244a3fb1d80c02ab31e913

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.847358Z digest=sha256:86e7ebd4663ffc7015f429ee63988f2d2fa64fbd7737e0c88274b1bdcb811a08

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.852029Z digest=sha256:937ed234213e5030feaf8cd3648b1422daa4b45925adfa2a65219f99897074c9

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.856303Z digest=sha256:8a7043e307a402b93593465e07d88cbff742db4b04ef8760ded2078b90eb0476

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.861081Z digest=sha256:124b3dcdcbe81d96b3ec5f19e8e65c338d4956c9bdabbc9f1397506742927109

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=sha256:93f2ad9cbe41a6c4f68e84622cac911388fc479073cbb01ce3fe5e72ba5b907f

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.870402Z digest=sha256:96b408a02a8c644cca809cf58f83d034981b1b2d074997312c582d7507b95b8d

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.874939Z digest=sha256:9030d2c18d6ca4634f3b2e696ccf085b0cdfc9fda7afef256bd486ef84917c43

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T15:05:40.879958Z digest=sha256:a4d23f401db8db13205b54424e13a38bdfa7ede71402bf3dd4e1284885e712fc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T20:41:59.878583Z digest=sha256:c56b9333648fca51289d28e223934e5e205fc5535f5f6802616efbd21c0fcb9a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-01T01:42:14.145227Z digest=sha256:efc00fd1a8e9f556771ed230f1ac200a49345be87cddaad459b73931bb25828f

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

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