Pith. sign in

Paper Citation Record · LEDGER

Random Matrix Theory for Stochastic Gradient Descent

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.20496.

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

pith.paper-citation-record.v1
2412.20496 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:28:29.910469Z

measured 26 of 26 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

26 of 26 outbound references displayed

  • verified exact4
  • verified fuzzy11
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6089b4a9-5fc6-4761-9b6b-b29d81c70382 · outbound

This paper cites Machine learning and the physical sciences.

Random Matrix Theory for Stochastic Gradient Descent Machine learning and the physical sciences

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.613387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.613387Z digest=sha256:1f3f29fc5782ca6125b3b5e87c57a73f5e15d254835145f4fc52f0fdd87ad046

Observation 8328b243-39fb-4031-afab-862be59c7ddb · outbound

This paper cites Stochastic weight matrix dynamics during learning and Dyson Brownian motion.

Random Matrix Theory for Stochastic Gradient Descent Stochastic weight matrix dynamics during learning and Dyson Brownian motion

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.618836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.618836Z digest=sha256:abe105126af3d4ee4d5285d4b9b44a23f2b3945263fbb01f7f4e0057ca21a27d

Observation fd68be48-a4a9-4b57-8d64-6264d884c59a · outbound

This paper cites Wigner,Characteristic vectors of bordered matrices with infinite dimensions, Annals of Mathematics 62(1955) 548.

Random Matrix Theory for Stochastic Gradient Descent Wigner,Characteristic vectors of bordered matrices with infinite dimensions, Annals of Mathematics 62(1955) 548

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.713111Z

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=pdf_text observed=2026-08-10T23:28:29.623971Z digest=sha256:8e34b54a3a7ae0c21643ed6ca727a9a6f7b8b627c9d896e25825ed377f795c8e

Observation af0c86ac-4062-4930-a617-ac54c77cb83f · outbound

This paper cites Wigner,Conference on Neutron Physics by Time-of-Flight, p.

Random Matrix Theory for Stochastic Gradient Descent Wigner,Conference on Neutron Physics by Time-of-Flight, p

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.698820Z

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=pdf_text observed=2026-08-10T23:28:29.628859Z digest=sha256:191535dccac3bad693b096f0eff5df6337963d6e71f4e6b135a8fac3ba4c4d31

Observation 30a6c6e8-4443-4ace-b2dd-a2e34e762309 · outbound

This paper cites Dyson,Statistical theory of the energy levels of complex systems.

Random Matrix Theory for Stochastic Gradient Descent Dyson,Statistical theory of the energy levels of complex systems

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.685806Z

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=pdf_text observed=2026-08-10T23:28:29.633517Z digest=sha256:c36d76c5833f5f87bc15750314abd9d691317d5cc7f19c72d9f10760d9e77e54

Observation d99e7409-7f9e-4764-9344-24a1dde9a0db · outbound

This paper cites Dyson,Statistical theory of the energy levels of complex systems.

Random Matrix Theory for Stochastic Gradient Descent Dyson,Statistical theory of the energy levels of complex systems

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.672054Z

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=pdf_text observed=2026-08-10T23:28:29.637909Z digest=sha256:4eedb3e00a8bdea5193792774c9e113f835ce003ced261d2526387af2586d727

Observation 7e5a285f-9cf8-49ae-ac63-2bcca123822c · outbound

This paper cites Dyson,Statistical Theory of the Energy Levels of Complex Systems.

Random Matrix Theory for Stochastic Gradient Descent Dyson,Statistical Theory of the Energy Levels of Complex Systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.642536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.642536Z digest=sha256:67e21fd8ff509e1f72a6bf67490a7bb4dfa5deb33c87fb5d78b7351fd347e8fa

Observation 75d1b192-6563-4b90-a5ac-a310d0845d1a · outbound

This paper cites Dyson,A Brownian-Motion Model for the Eigenvalues of a Random Matrix, J.

Random Matrix Theory for Stochastic Gradient Descent Dyson,A Brownian-Motion Model for the Eigenvalues of a Random Matrix, J

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.653040Z

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=pdf_text observed=2026-08-10T23:28:29.646669Z digest=sha256:e73b2fca7b68478ec97a8cf5471f5bee63eb3aa869fba923a0a6bd13da60b785

Observation 5be17bfb-a670-40a9-a38c-6e600a531b79 · outbound

This paper cites Mehta,Random Matrices, Academic Press, New York, 3rd ed.

Random Matrix Theory for Stochastic Gradient Descent Mehta,Random Matrices, Academic Press, New York, 3rd ed

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.639847Z

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=pdf_text observed=2026-08-10T23:28:29.650670Z digest=sha256:5cb0bf892b0091a60e2acb979733ba64e3f2d47f04eb7a7affeda85b3998e8b7

Observation db6e851d-868b-4491-9710-422ebac0848d · outbound

This paper cites Traditional and Heavy-Tailed Self Regularization in Neural Network Models.

Random Matrix Theory for Stochastic Gradient Descent Traditional and Heavy-Tailed Self Regularization in Neural Network Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.668149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.668149Z digest=sha256:3c5b1c29e465f60f6dbdf204dc44b6d2c52028d91dbbeadcbf5e16c9cbb0a63b

Observation 09f95c5e-559e-4280-a923-29b80a7bca90 · outbound

This paper cites Appearance of Random Matrix Theory in Deep Learning.

Random Matrix Theory for Stochastic Gradient Descent Appearance of Random Matrix Theory in Deep Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.746912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.746912Z digest=sha256:8f5c5a238030e01f73efe9aa76f04f8e189268fb588a3e9c0c176a2578fbdea9

Observation 7e14ae5e-2fe6-4c8a-9ee6-8f59ecdc3f0e · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Random Matrix Theory for Stochastic Gradient Descent Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.822946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.822946Z digest=sha256:645d2e4e5921e15765e0ea5ca432fb5dd6c041cbcfad2d4dcfeb5ca05eac9cfe

Observation 44128a12-7b6b-40b7-b165-94d13b4e16d4 · outbound

This paper cites A Bayesian Perspective on Generalization and Stochastic Gradient Descent.

Random Matrix Theory for Stochastic Gradient Descent A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.857819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.857819Z digest=sha256:44a41e72aeebd884f8745ce546f891e499e58868c5915e50f0470f9561d160d8

Observation e4d4bd3b-ba18-493e-ae28-7ab8f2fd6627 · outbound

This paper cites Don't Decay the Learning Rate, Increase the Batch Size.

Random Matrix Theory for Stochastic Gradient Descent Don't Decay the Learning Rate, Increase the Batch Size

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.861538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.861538Z digest=sha256:fbd81ba837a6c9ab7a6496030720e1f6a6f3f0a36bf03084ca1a76da1eb490d6

Observation 4db84599-6cd3-4fdd-9ec1-60a6fd87ef4a · outbound

This paper cites Stochastic natural gradient descent draws posterior samples in function space.

Random Matrix Theory for Stochastic Gradient Descent Stochastic natural gradient descent draws posterior samples in function space

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:28:30.175791Z

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=pdf_text observed=2026-08-10T23:28:29.865871Z digest=sha256:a5c126e393dc14dd79331780f0ced38b98f04ca6ced1b1d9b18eb9e4c6edcb0d

Observation 6db49146-4169-4690-81e3-a8e35bdde80d · outbound

This paper cites Dyson Brownian motion and random matrix dynamics of weight matrices during learning.

Random Matrix Theory for Stochastic Gradient Descent Dyson Brownian motion and random matrix dynamics of weight matrices during learning

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:28:30.157260Z

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=pdf_text observed=2026-08-10T23:28:29.870383Z digest=sha256:0f24ae6ed65b72708079126de677fbf592ce298452dd95738246f866b2e3734f

Observation 6623dc00-3d59-4ca7-b475-0f1c2d73c23d · outbound

This paper cites Mandt, M.D.

Random Matrix Theory for Stochastic Gradient Descent Mandt, M.D

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.590276Z

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=pdf_text observed=2026-08-10T23:28:29.874606Z digest=sha256:03097cffafdd539a5c8c6b4e070429ed372f05406f437baf16b0040660d4f434

Observation 1d2af006-3339-4cdb-9268-c9ef3a052146 · outbound

This paper cites Stochastic modified equations and adaptive stochastic gradient algorithms.

Random Matrix Theory for Stochastic Gradient Descent Stochastic modified equations and adaptive stochastic gradient algorithms

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.878141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.878141Z digest=sha256:e63be4351937038dd4b027c141aff11e99c0a207b2e8312bbd1a3c2c03909dda

Observation 574837fe-b827-4eb4-8fe9-f145bc1434b5 · outbound

This paper cites Fluctuation-dissipation relations for stochastic gradient descent.

Random Matrix Theory for Stochastic Gradient Descent Fluctuation-dissipation relations for stochastic gradient descent

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.881681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.881681Z digest=sha256:5036e702e9f939fb2e0c40f699b4375457a466cca213bc1aef8b14cfe9471a93

Observation d3d1a7b6-0e19-4af4-9c4c-efc9cb3b72d5 · outbound

This paper cites Smolensky,Chapter 6: Information processing in dynamical systems: Foundations of harmony theory, inParallel Distributed Processing: Volume 1, D.

Random Matrix Theory for Stochastic Gradient Descent Smolensky,Chapter 6: Information processing in dynamical systems: Foundations of harmony theory, inParallel Distributed Processing: Volume 1, D

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.408975Z

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=pdf_text observed=2026-08-10T23:28:29.886363Z digest=sha256:4f9fcc062ba3943731f7a2680c2f22e19412e217b2a5e5e05e9ce50064a8684f

Observation 79601bbc-f0e9-44a2-abb9-bce5d58a1167 · outbound

This paper cites Hinton,Training Products of Experts by Minimizing Contrastive Divergence,Neural Computation 14(2002) 1771.

Random Matrix Theory for Stochastic Gradient Descent Hinton,Training Products of Experts by Minimizing Contrastive Divergence,Neural Computation 14(2002) 1771

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.322809Z

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=pdf_text observed=2026-08-10T23:28:29.889927Z digest=sha256:805a686d550377395251502dba6eceb3ef1246850b01df94edf106d95d4ccd0c

Observation dd562bc2-10f6-4d75-b2c3-e422525d335b · outbound

This paper cites Restricted Boltzmann Machine, recent advances and mean-field theory.

Random Matrix Theory for Stochastic Gradient Descent Restricted Boltzmann Machine, recent advances and mean-field theory

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:28:30.116524Z

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=pdf_text observed=2026-08-10T23:28:29.893326Z digest=sha256:6933fe9811f67214bef5c62098c520aa506de1e162f76858d877e1bf7d5704e3

Observation abe8ed9d-685c-4f4e-8298-9b423ba980ca · outbound

This paper cites Scalar field Restricted Boltzmann Machine as an ultraviolet regulator.

Random Matrix Theory for Stochastic Gradient Descent Scalar field Restricted Boltzmann Machine as an ultraviolet regulator

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.898270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.898270Z digest=sha256:228fbc8c80f1c7ced5a4dbb0fe63c5ae5c21e96b4762d45c98cbfdecfda2d058

Observation f6fd0ae5-26d3-4ddc-b75f-1297d8efe006 · outbound

This paper cites Bahri, J.

Random Matrix Theory for Stochastic Gradient Descent Bahri, J

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.310214Z

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=pdf_text observed=2026-08-10T23:28:29.902693Z digest=sha256:cae508272af1d2ebce3cd7c34e51909e0a2bedf2b1b98585b3c40bce5847e739

Observation 7265edc5-efa4-45d7-8175-336bb58d2ecf · outbound

This paper cites Goldt, M.S.

Random Matrix Theory for Stochastic Gradient Descent Goldt, M.S

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:28:30.295808Z

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=pdf_text observed=2026-08-10T23:28:29.906548Z digest=sha256:221d7287fcfca00c64c288566715b3f2fcf4e448e80fffbaf8c4c5fe35b710b5

Observation a6144477-72c0-47ab-997e-576fe07619fa · outbound

This paper cites an unresolved cited work.

Random Matrix Theory for Stochastic Gradient Descent Unresolved cited work

Reference 26

Resolution
verified exact
doi, observed 2026-08-10T23:28:30.035604Z

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=pdf_text observed=2026-08-10T23:28:29.910469Z digest=sha256:f7fca859764f0427f66513a3c2e9515652b72b7df226c30297262217593c73f8

Pith citing papers

No inbound Pith citation observations are available.