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Paper Citation Record · LEDGER

Random weights of DNNs and emergence of fixed points

As of 11 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 2026-08-11T06:34:44.6726+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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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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local_arxiv, observed 2026-08-10T21:44:07.514872Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.204989Z digest=sha256:f4779fd1144e1814c540accfbcde6b12a78150bf5022e75bc0da9b603d2d0a7f

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

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source=arxiv_source observed=2026-08-10T21:44:07.209005Z digest=sha256:d0d5a89e82d302d515b426a483cb51c6094e1a3dd01719b5d48d863e8e35c6ed

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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.219665Z digest=sha256:c06bfa390d357774ec2a7040463090913d3c112d59fc6b4bef28b46d8fbebfa3

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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.223164Z digest=sha256:33fb30e53ebbe01a2a1229cd173fea2be64805d1d346bee99685b4093fcec07e

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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source=arxiv_source observed=2026-08-10T21:44:07.226285Z digest=sha256:13c891046d91ee24b3a0fda3322ab2f71387750931336d1c046a86b1febe5ce9

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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.229491Z digest=sha256:a707ab107f1b7fbadd217786a50289ae05e75960fced1a03f6e0dd83992a31f9

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:a6aa5fc5404e37bcbd6f5f9b64ebb066946fb3ff97428a1c47c9dbe4b27e7f1d

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.236753Z digest=sha256:e9d8a67b072a4e631fae373ac78250426211e2532067e9eb004090064f007eb8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.240363Z digest=sha256:6d17d9f065aab637e11f9ed4d230c9991a0b3af7ee470c00ac340b6961a61235

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=sha256:265f25d14e1b6425ae8457c5870212ba63776f77a862e67032221396b9da12f1

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.249009Z digest=sha256:7953726ac02afb00c6c0500d2b57e9924052079e9a80ec9621c75d1cdc4f3da0

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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.253329Z digest=sha256:97ad00fe98d16f9e5b366f0cd740b007babb0a47f49d996281bbe7e7e8085b09

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

Resolution
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raw_fallback, observed 2026-08-10T21:44:07.653684Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.256946Z digest=sha256:66ac7ff97418fa9acf6d5a9829cee80eba8d4520b106ea62369638a62ede4b34

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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source=arxiv_source observed=2026-08-10T21:44:07.259812Z digest=sha256:c6e607f517267596910c54e0fe2304f746a218b83ea9ac9972e97cf98954879a

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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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=sha256:72192bfe359f3f86649d820d00d1c9bd401e66523827f7e4875bcc0a326a2dbc

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:fdfbce82fe718638d3e864f98203a0582b0f33bc6322c801ccadaf3dc04b9343

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.279592Z digest=sha256:de778752df8e71c50285441e029f5a040e238581c1d761390f4f18735e2c716b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.282446Z digest=sha256:f68a7129e8869db8b2cb3ce6344de2d816f1c1129543808e3645b47251d2b7f1

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

Resolution
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.286068Z digest=sha256:182e6f5500c4a40e98393b5b3510ff63d714fa5bdbb5bf796b261a2a34f00288

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=sha256:01589c4e825a6dadb6b9439a24ceb2afbcf31a9363d8a3832da492798f3cb57e

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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no resolver link, observed 2026-08-10T21:44:07.293871Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:44:07.293871Z digest=sha256:634c7846096b882a965ab3a8c0cb2fa8cdac595d179fa9c3719a1b03ce0f6577

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
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.297387Z digest=sha256:94de3a685f59a95af59a26d8b22ed90c061f0dfd5bad037eef032ddc72028739

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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no resolver link, observed 2026-08-10T21:44:07.300460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:44:07.300460Z digest=sha256:887c0f37728edabe445fb9dfa9c5f00b7a1ab6f4ed0c9be46ffa3179074265c7

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.303883Z digest=sha256:a148c4f0a5a0c05c3eabd40305f1054fb7d2b387d586f1c284b81067cc61371e

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.307674Z digest=sha256:587e4311b92cd4710f98d176ed2646a134214ca2ec89d71a06d39c8c175ba0c8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.311097Z digest=sha256:ca059c37321ec66abb8d77219ba4e22b9b20b6db14ec69c37ee4c1ec73c2e00d

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

Resolution
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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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.314260Z digest=sha256:9b673d630b2a320c891a9efcaec2bbcbe896769de13ac1ac1b6caad2429ec67b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:44:07.318147Z digest=sha256:8089f391b5f6e276a04c1f4c1cd2b7cb39c08f88d6f1792b130f82f2a362b06e

Pith citing papers

No inbound Pith citation observations are available.