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Paper Citation Record · LEDGER

Random weights of DNNs and emergence of fixed points

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2501.04182.

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

pith.paper-citation-record.v1
2501.04182 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:44:07.318147Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

36 of 36 outbound references displayed

  • verified exact8
  • verified fuzzy17
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3eed62d-a372-4624-aa8c-574634b531cf · outbound

This paper cites Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information.

Random weights of DNNs and emergence of fixed points Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b7948244-791d-4723-a80f-5dc975837583 · outbound

This paper cites Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging.

Random weights of DNNs and emergence of fixed points Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging

Reference 2

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4e1c95b1-d5a8-4dad-9d57-6b6fd0f65a98 · outbound

This paper cites an unresolved cited work.

Random weights of DNNs and emergence of fixed points Unresolved cited work

Reference 3

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Observation 9cffb8ae-959a-4176-8ff7-499815613f29 · outbound

This paper cites Deep Generalized Unfolding Networks for Image Restoration.

Random weights of DNNs and emergence of fixed points Deep Generalized Unfolding Networks for Image Restoration

Reference 4

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local_arxiv, observed 2026-08-10T21:44:07.498938Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.204989Z digest=sha256:20517efd8d74edb69ca8143963d693543f23d7b12660a7bb739b7bb963c69557

Observation 947eff52-1dae-4bd3-9e14-26326e5c6839 · outbound

This paper cites Ferster and K.

Random weights of DNNs and emergence of fixed points Ferster and K

Reference 5

Resolution
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source=arxiv_source observed=2026-08-10T21:44:07.209005Z digest=sha256:b94355949de9f8552c60ecb0837d76de9eb9613b70bed438668af7bcbcb5c641

Observation 3706d966-da0c-4085-80a1-e2c14a6ba551 · outbound

This paper cites Ozeki, I.

Random weights of DNNs and emergence of fixed points Ozeki, I

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 21354cf9-a01b-4ed2-8a1f-fe57da65b2e0 · outbound

This paper cites an unresolved cited work.

Random weights of DNNs and emergence of fixed points Unresolved cited work

Reference 7

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation afbff82d-01cd-4936-9616-208a5eb07514 · outbound

This paper cites Ebsch and R.

Random weights of DNNs and emergence of fixed points Ebsch and R

Reference 8

Resolution
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raw_fallback, observed 2026-08-10T21:44:07.719323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.219665Z digest=sha256:47db069b76090a9641a6c60baa10fde04b04d20083a91c28b0fce0a7e68bbe23

Observation 600b8158-707c-4491-9053-713cc02c90e1 · outbound

This paper cites Curto, J.

Random weights of DNNs and emergence of fixed points Curto, J

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.223164Z digest=sha256:32b88d830b2ec5138cfe7b1aed12371266a7ae191e4200190d00cd3a18c245bb

Observation 6eec2d0f-e659-4717-af59-58012be11e53 · outbound

This paper cites Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences 79 (8), 2554 (1982).

Random weights of DNNs and emergence of fixed points Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences 79 (8), 2554 (1982)

Reference 10

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.226285Z digest=sha256:dd692669297681b3fa69c3bc218619d050d3e9e57a238739fca428abce0b43d3

Observation e4220867-f148-4c40-86e6-c88ce60dc435 · outbound

This paper cites an unresolved cited work.

Random weights of DNNs and emergence of fixed points Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.229491Z digest=sha256:98e39a7e98c906f84ebcccc1b6c947a2c3a911d277f38b5b294921c09fd0a367

Observation 9f11e56d-93be-40c1-a807-cf335bc09136 · outbound

This paper cites Large Associative Memory Problem in Neurobiology and Machine Learning.

Random weights of DNNs and emergence of fixed points Large Associative Memory Problem in Neurobiology and Machine Learning

Reference 12

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:44:07.232930Z digest=sha256:4492b265cff541717cc2d00d0f46ffb166aa2b75175a0eb98c3e5943244b723a

Observation e8cb3a46-7759-44e8-a19b-1a7e55fdeba8 · outbound

This paper cites Analysis of discrete modern Hopfield networks in open quantum system.

Random weights of DNNs and emergence of fixed points Analysis of discrete modern Hopfield networks in open quantum system

Reference 13

Resolution
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local_arxiv, observed 2026-08-10T21:44:07.473658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.236753Z digest=sha256:3f5a6818bcb67382c63b67b8ff779b399c13ac2f2e325c659deb20c2c8603815

Observation c4b2d70f-1317-43d4-aeba-c005e6d10e57 · outbound

This paper cites Berlyand, P.-E.

Random weights of DNNs and emergence of fixed points Berlyand, P.-E

Reference 14

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.240363Z digest=sha256:00438647fa799f7c030a087985320f0bf9ba0478ffc223755d3f62a62bd6e85c

Observation a03d3658-a6cb-418b-ba2d-ce629db9435c · outbound

This paper cites An Introduction to Variational Autoencoders.

Random weights of DNNs and emergence of fixed points An Introduction to Variational Autoencoders

Reference 15

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source=arxiv_source observed=2026-08-10T21:44:07.244100Z digest=sha256:61dbcb8de745748f574afc1599b1b12a8711c241c7f74726c52239f2b4054121

Observation 16fe1f09-d3a9-442d-bb7c-b89f89f78c5b · outbound

This paper cites an unresolved cited work.

Random weights of DNNs and emergence of fixed points Unresolved cited work

Reference 16

Resolution
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raw_fallback, observed 2026-08-10T21:44:07.664310Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a897eb5d-5f6c-4113-bd82-77a5828e8972 · outbound

This paper cites Fixed points of nonnegative neural networks.

Random weights of DNNs and emergence of fixed points Fixed points of nonnegative neural networks

Reference 17

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local_arxiv, observed 2026-08-10T21:44:07.449531Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.253329Z digest=sha256:23e04cc37528883cf6fa684f0b2532bade754614c5f760656c6b0a8db6a74b55

Observation 9f4338ac-cb5d-4462-a2a9-82baf95ddeb7 · outbound

This paper cites Buduma, Fundamentals of Deep Learning, O'Reilly Media, Inc., 2-nd edition, 387 p, 2017.

Random weights of DNNs and emergence of fixed points Buduma, Fundamentals of Deep Learning, O'Reilly Media, Inc., 2-nd edition, 387 p, 2017

Reference 18

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source=arxiv_source observed=2026-08-10T21:44:07.256946Z digest=sha256:55f3b7611a88cbd5a103572b222d013f28fa0d5b94ddcc43af1f3da151df26f4

Observation e6641bb3-13f2-4df4-8981-8f71e04a244b · outbound

This paper cites Bahri, J.

Random weights of DNNs and emergence of fixed points Bahri, J

Reference 19

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a10d1c39-4253-4159-b697-f5b6de9ea9c8 · outbound

This paper cites Gallicchio and S.

Random weights of DNNs and emergence of fixed points Gallicchio and S

Reference 20

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fc248e9b-cb10-4cea-a8c6-4d5349e94718 · outbound

This paper cites Giryes, G.

Random weights of DNNs and emergence of fixed points Giryes, G

Reference 21

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b7380b20-1172-4118-8fa4-43b720ed2657 · outbound

This paper cites Multimodal Deep Domain Adaptation.

Random weights of DNNs and emergence of fixed points Multimodal Deep Domain Adaptation

Reference 22

Resolution
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local_arxiv, observed 2026-08-10T21:44:07.433158Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation aecfdac9-880a-4946-9b02-9c670296a3fa · outbound

This paper cites Gaussian Process Behaviour in Wide Deep Neural Networks.

Random weights of DNNs and emergence of fixed points Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 23

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source=arxiv_source observed=2026-08-10T21:44:07.272925Z digest=sha256:4a5a43e1c4f846e80ca52c018b4808fbf93c5e60fc06847104f11f9417d70f25

Observation aad87d3f-5a2b-44b5-b54b-1d1d1ee8b2a7 · outbound

This paper cites Tensor Programs III: Neural Matrix Laws.

Random weights of DNNs and emergence of fixed points Tensor Programs III: Neural Matrix Laws

Reference 24

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source=arxiv_source observed=2026-08-10T21:44:07.276081Z digest=sha256:e7af852a9400cc0fe1e9ab0d8969fee45b0b2243da8954074025d7dc94f1140c

Observation 0726e5b1-bd3f-491d-bc94-30cbc5648b40 · outbound

This paper cites Marchenko, L.

Random weights of DNNs and emergence of fixed points Marchenko, L

Reference 25

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9080d35f-5cda-4f46-8169-689d5933d5f6 · outbound

This paper cites Berlyand, E.

Random weights of DNNs and emergence of fixed points Berlyand, E

Reference 26

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 26ca5857-f704-4c87-9bab-31aa7d34006f · outbound

This paper cites Martin and M.W.

Random weights of DNNs and emergence of fixed points Martin and M.W

Reference 27

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 305b48f8-dfac-4c96-bebf-fc90d82adde3 · outbound

This paper cites The Emergence of Spectral Universality in Deep Networks.

Random weights of DNNs and emergence of fixed points The Emergence of Spectral Universality in Deep Networks

Reference 28

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source=arxiv_source observed=2026-08-10T21:44:07.290289Z digest=sha256:1e8c19ff945ea226ac9f36b45273e4069f6d4476eb4fbceda44655f9b5543a64

Observation b208e11a-430b-4ff3-84dd-8ee5334fed97 · outbound

This paper cites Understanding Gradient Descent through the Training Jacobian.

Random weights of DNNs and emergence of fixed points Understanding Gradient Descent through the Training Jacobian

Reference 29

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source=arxiv_source observed=2026-08-10T21:44:07.293871Z digest=sha256:c88299a1e9b5f001d87ef5ad1e90ffbcb2831164e07e519feb6c2d1939fa8291

Observation 1cd7684f-e562-443f-aa83-6673e14c14b0 · outbound

This paper cites Pastur, V.

Random weights of DNNs and emergence of fixed points Pastur, V

Reference 30

Resolution
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raw_fallback, observed 2026-08-10T21:44:07.578500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.297387Z digest=sha256:9140bcf34d76ae182725a6bc97f88edc8d78f8c8b8baa8fc15199d6c23b5f8bb

Observation 30a27979-683b-4253-bf62-e997eb339bea · outbound

This paper cites Robust Learning with Jacobian Regularization.

Random weights of DNNs and emergence of fixed points Robust Learning with Jacobian Regularization

Reference 31

Resolution
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:44:07.300460Z digest=sha256:ee56c5d3a18f9cf24428c6574e708334f5fe7018bc906265be3f6d07b9754a5d

Observation d506f6b8-80dd-4c85-89ff-c0297b3416c3 · outbound

This paper cites Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting.

Random weights of DNNs and emergence of fixed points Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:44:07.371926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.303883Z digest=sha256:2279598ce42c72b173bf4bf0b9184723794111e3293b74d507a6246a8e3688f8

Observation 1af3a57a-3c70-4d68-a229-990acbd907e6 · outbound

This paper cites Shcherbina, On Universality of Local Edge Regime for the Deformed Gaussian Unitary Ensemble, J.

Random weights of DNNs and emergence of fixed points Shcherbina, On Universality of Local Edge Regime for the Deformed Gaussian Unitary Ensemble, J

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:07.567204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.307674Z digest=sha256:a63a2e9f2f3076ac729041fe717a319595a4686616fbcde4400a5ad6ef7af290

Observation 9ee9173f-37bc-4a97-9969-d364481f79f4 · outbound

This paper cites Russo, Deformed Cauchy random matrix ensembles and large N phase transitions.

Random weights of DNNs and emergence of fixed points Russo, Deformed Cauchy random matrix ensembles and large N phase transitions

Reference 34

Resolution
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raw_fallback, observed 2026-08-10T21:44:07.555553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.311097Z digest=sha256:3957a2a937e869baab1cdae30b1e6a46d355c28c0cc9e60a666413a20f0321ec

Observation fcb4b1dd-319d-4e93-8d8a-8c8e88cfd6df · outbound

This paper cites Deformation of Marchenko-Pastur distribution for the correlated time series.

Random weights of DNNs and emergence of fixed points Deformation of Marchenko-Pastur distribution for the correlated time series

Reference 35

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local_arxiv, observed 2026-08-10T21:44:07.355933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.314260Z digest=sha256:5dc64c53a9d0b53fc0b2745966b19ed4c3e3eabf342aca64d26b937b60275aba

Observation c488a854-d8dc-4dff-8551-2cfe409a6577 · outbound

This paper cites Jachymski, I.

Random weights of DNNs and emergence of fixed points Jachymski, I

Reference 36

Resolution
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raw_fallback, observed 2026-08-10T21:44:07.544202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.318147Z digest=sha256:614918e9da9c1672967dc324f53b676715dc29e240c574678ac5729507045a71

Pith citing papers

No inbound Pith citation observations are available.