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Paper Citation Record · LEDGER

Position: Curvature Matrices Should Be Democratized via Linear Operators

As of 19 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 4 inbound Pith citation observations for arXiv:2501.19183.

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

pith.paper-citation-record.v1
2501.19183 v1

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:49.174147Z

measured 104 of 104 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:03:56.569578Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 103 outbound references displayed

  • verified exact1
  • verified fuzzy48
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 42188947-0b92-4a57-81e7-3454730b3e53 · outbound

This paper cites write newline.

Position: Curvature Matrices Should Be Democratized via Linear Operators write newline

Reference 1

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no resolver link, observed 2026-08-09T21:05:48.824004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.824004Z digest=sha256:a4b808216d9f0189121731be37211b287a3271a261d7a43c5e7fbd2cee3c43c9

Observation 9fc80a5c-5b29-4c0e-a9d6-f3f6bbcfa8f4 · outbound

This paper cites Natural gradient works efficiently in learning.

Position: Curvature Matrices Should Be Democratized via Linear Operators Natural gradient works efficiently in learning

Reference 2

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unresolved
no resolver link, observed 2026-08-09T21:05:48.829191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.829191Z digest=sha256:313f4f8ae2fe62387340f30804986d03eeaedf86e550b09c34116f01af166d24

Observation 3188f01a-c2f2-49f1-adcc-484199b4ce07 · outbound

This paper cites An estimator for the diagonal of a matrix.

Position: Curvature Matrices Should Be Democratized via Linear Operators An estimator for the diagonal of a matrix

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.833368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.833368Z digest=sha256:e0a72defa657143d3b956ab5d0406ff99dc96afd856962b7fb8c3560eb5d7dfd

Observation 52a8aef5-4b57-4658-863a-4f60c470c412 · outbound

This paper cites Gradient descent on neurons and its link to approximate second-order optimization.

Position: Curvature Matrices Should Be Democratized via Linear Operators Gradient descent on neurons and its link to approximate second-order optimization

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.837656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.837656Z digest=sha256:dfbf120f473cd4fa6d77baf012413abbc89f05bc1134b605d2dd83b56271ad09

Observation 33f2f59c-6bdb-404f-8c8c-848adbf5ab45 · outbound

This paper cites Exact natural gradient in deep linear networks and its application to the nonlinear case.

Position: Curvature Matrices Should Be Democratized via Linear Operators Exact natural gradient in deep linear networks and its application to the nonlinear case

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.841320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.841320Z digest=sha256:81b8e40ee2d9da6eceb9da673b7273f260a9e290bb8b903a207ce5f45cef6501

Observation 06103c8f-37ae-4f6c-a5dd-a8cd6af4b383 · outbound

This paper cites and Bergholm, V.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Bergholm, V

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.845091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.845091Z digest=sha256:51b1fcf8f58ad58aee970ab8e8e30b0ee657e631edd66b52322e3d7dd46dd4d2

Observation abb6e1a2-0a66-409e-9db9-361198619630 · outbound

This paper cites Practical G auss- N ewton optimisation for deep learning.

Position: Curvature Matrices Should Be Democratized via Linear Operators Practical G auss- N ewton optimisation for deep learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.848798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.848798Z digest=sha256:56a59957decac36e7fe532ca7c9af8519016d733a5de9fb00ca47c1d3ab7e052

Observation 4f805b4d-4cb2-49bd-ab27-b46df7416515 · outbound

This paper cites J., Leary, C., Maclaurin, D., and Wanderman-Milne, S.

Position: Curvature Matrices Should Be Democratized via Linear Operators J., Leary, C., Maclaurin, D., and Wanderman-Milne, S

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.852637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.852637Z digest=sha256:b35285b83033737b267197e784e1f82c6020ce3f715ab8e257eee4eb69dded98

Observation 99c42b98-0a8c-4c35-b722-6521c3d94e1a · outbound

This paper cites and van Handel , R.

Position: Curvature Matrices Should Be Democratized via Linear Operators and van Handel , R

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.856183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.856183Z digest=sha256:c7c291fb278d9a43d13555fa6cf1c61c114b001456d9be3d7a33f00fe137d6e3

Observation aee819df-a7aa-4368-9f17-90e1616d45b1 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 10

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unresolved
no resolver link, observed 2026-08-09T21:05:48.859705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.859705Z digest=sha256:a8ec07d76531fb11d7ced711612215aa7fe76186903212d95b13c285d984f77a

Observation 9e2cd292-8222-4157-96cd-672c05e4010c · outbound

This paper cites A., Collin, F.-D., and Durif, G.

Position: Curvature Matrices Should Be Democratized via Linear Operators A., Collin, F.-D., and Durif, G

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.863037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.863037Z digest=sha256:9c6a164b817ead1b9c837642ff9335e89f1a47492ee9bac00bab81db61616634

Observation 57523fbe-94e9-4eed-af61-ce4b178ba29a · outbound

This paper cites Efficient second-order optimization for neural networks with kernel machines.

Position: Curvature Matrices Should Be Democratized via Linear Operators Efficient second-order optimization for neural networks with kernel machines

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.866444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.866444Z digest=sha256:32e0a5e7ea2b24d7d5a742659cbf1fb9885e12c8f0b3f14a76a25e2832b58623

Observation 7bf6635e-5185-4255-b792-7427a02d41f0 · outbound

This paper cites How to compute hessian-vector products? In International Conference on Learning Representations (ICLR) Blogposts, 2024.

Position: Curvature Matrices Should Be Democratized via Linear Operators How to compute hessian-vector products? In International Conference on Learning Representations (ICLR) Blogposts, 2024

Reference 13

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no resolver link, observed 2026-08-09T21:05:48.869918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.869918Z digest=sha256:cc4b694da04d227b2bb097bfe88c693b498ce57b52eeada2351d7af3281f19e1

Observation 93344926-cb38-4d05-8439-787d7972008c · outbound

This paper cites B ack PACK : Packing more into backprop.

Position: Curvature Matrices Should Be Democratized via Linear Operators B ack PACK : Packing more into backprop

Reference 14

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unresolved
no resolver link, observed 2026-08-09T21:05:48.873379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.873379Z digest=sha256:83e01a457dcac36953193bfbac347180f80b27e370358f39c10d935f1c4d4042

Observation 6bc9a56d-39a4-44b8-b02d-6f59e2374088 · outbound

This paper cites Vi V i T : Curvature access through the generalized gauss-newton s low-rank structure.

Position: Curvature Matrices Should Be Democratized via Linear Operators Vi V i T : Curvature access through the generalized gauss-newton s low-rank structure

Reference 15

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no resolver link, observed 2026-08-09T21:05:48.876767Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.876767Z digest=sha256:b3dc052eab781d6efbd6db9b53c3fa9730bc62c58203ec00e8abb2cc711ab68a

Observation 1cc25e2e-e1a9-4466-a417-90601e819390 · outbound

This paper cites Learning fast algorithms for linear transforms using butterfly factorizations.

Position: Curvature Matrices Should Be Democratized via Linear Operators Learning fast algorithms for linear transforms using butterfly factorizations

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.879994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.879994Z digest=sha256:3698612a8623dbade289d2daca6cac839e6645f1722efc9d435ba7109b7342d3

Observation 5a6c051a-43a4-454e-9e92-2a461cbd0751 · outbound

This paper cites S., Desai, A., Poli, M., Grogan, J., Liu, A., Rao, A., Rudra, A., and R \'e , C.

Position: Curvature Matrices Should Be Democratized via Linear Operators S., Desai, A., Poli, M., Grogan, J., Liu, A., Rao, A., Rudra, A., and R \'e , C

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.883330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.883330Z digest=sha256:d862de54ff224ef520f61abf37bae8d26b91e072146899c35cce26d7929a7332

Observation 590f4071-4729-43d2-9143-e37eed7b3ba6 · outbound

This paper cites Laplace redux - effortless bayesian deep learning.

Position: Curvature Matrices Should Be Democratized via Linear Operators Laplace redux - effortless bayesian deep learning

Reference 18

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unresolved
no resolver link, observed 2026-08-09T21:05:48.886691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.886691Z digest=sha256:85fabdd435ff1f82e18dd3de7cd593a72ef3dfe5107e4fe6e04582ec2297d75e

Observation f0a1aaf1-8fe0-4547-9ebd-c4847708ae62 · outbound

This paper cites and Mahoney, M.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Mahoney, M

Reference 19

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unresolved
no resolver link, observed 2026-08-09T21:05:48.889884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.889884Z digest=sha256:9ea64b2c11dd8f395221cfefae29a9693d89ed1c20d5696dec720cb9d7ccdfbf

Observation 7f4535eb-08f3-4a16-83cd-47b7db5ad040 · outbound

This paper cites N., Tropp, J.

Position: Curvature Matrices Should Be Democratized via Linear Operators N., Tropp, J

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.893382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.893382Z digest=sha256:30f199e44ada879fe60dee77f0218ae9c0769a004c94cb89d24b87dd9ae1a379

Observation 28a4b32b-0c4e-4d8d-b4e7-08db9adf1a96 · outbound

This paper cites E., Schneider, F., and Hennig, P.

Position: Curvature Matrices Should Be Democratized via Linear Operators E., Schneider, F., and Hennig, P

Reference 21

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unresolved
no resolver link, observed 2026-08-09T21:05:48.896769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.896769Z digest=sha256:bc020de19253e1c3bcfcac5d5a26611ed36e17d18a960b33e10919d46b48a706

Observation bd187990-edf3-4d4f-b82d-d8cbafa44841 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-09T21:05:48.900157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.900157Z digest=sha256:a270db20539a18e3c598dadfae7fbbd8fb67488146d0489919b24199cfeb1f8c

Observation f8f26073-fc47-4654-8496-fa7b028b6e42 · outbound

This paper cites S kerch: Sketched matrix decompositions for PyTorch , 2024.

Position: Curvature Matrices Should Be Democratized via Linear Operators S kerch: Sketched matrix decompositions for PyTorch , 2024

Reference 23

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no resolver link, observed 2026-08-09T21:05:48.903196Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.903196Z digest=sha256:6146251805b51bc29ff4826471f16f30d7019fd1c18485cb497b1adf43b45fb9

Observation 68576484-c27d-4a6e-9ebc-fd58a1843cda · outbound

This paper cites and Hodges, J.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Hodges, J

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.088586Z

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=2026-08-09T21:05:48.906636Z digest=sha256:9a58691026dea1e87c7d5d1cba1f9cb67ebc7d513ea34e066f804ba1373847ea

Observation f58a0cfd-0571-4473-8209-7b1befbf6ff2 · outbound

This paper cites and Saunders, M.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Saunders, M

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.078160Z

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=2026-08-09T21:05:48.910087Z digest=sha256:76573e9cfd2a3bb3f881c8a6ac408706c76ead519acadc51b941877a2692ab1b

Observation a9540c5e-8b92-4fe0-8fa6-4d899f95751c · outbound

This paper cites M-fac: Efficient matrix-free approximations of second-order information.

Position: Curvature Matrices Should Be Democratized via Linear Operators M-fac: Efficient matrix-free approximations of second-order information

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.067815Z

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=2026-08-09T21:05:48.913415Z digest=sha256:b1276ec68b7060ef0269d246504ca938a627bb0ce3080bd53a275d93f103c122

Observation c311cbf8-a7b4-4615-81c1-0cdaf3f14d3b · outbound

This paper cites Q., Bindel, D., and Wilson, A.

Position: Curvature Matrices Should Be Democratized via Linear Operators Q., Bindel, D., and Wilson, A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.057231Z

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=2026-08-09T21:05:48.916838Z digest=sha256:742e3fe31eb8feac968e2f73db5ecbe07f44c63b6ae0e6de1aca6aedc6126422

Observation 4f056ef8-e516-45ec-8857-54d79dfdb5e9 · outbound

This paper cites Fast approximate natural gradient descent in a kronecker-factored eigenbasis, 2018.

Position: Curvature Matrices Should Be Democratized via Linear Operators Fast approximate natural gradient descent in a kronecker-factored eigenbasis, 2018

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.045336Z

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=2026-08-09T21:05:48.921139Z digest=sha256:18aefcb2d1f7df0663117e191448e386ee195b7b8c5fbf710421eca842270387

Observation f44c55e9-7715-4334-9670-710a42187e17 · outbound

This paper cites Eigenvalue and generalized eigenvalue problems: Tutorial, 2019.

Position: Curvature Matrices Should Be Democratized via Linear Operators Eigenvalue and generalized eigenvalue problems: Tutorial, 2019

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.033898Z

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=2026-08-09T21:05:48.924658Z digest=sha256:f6aa5fd829958cddf45a595f2b5afba7c813369b5afb3cfbb14ce2f4f680aee4

Observation d0717276-f24c-476a-a572-e6d137cebb88 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:50.023024Z

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=2026-08-09T21:05:48.928176Z digest=sha256:7e078cd937e84f25f4bed51113fd1f14cee3c57f9277850403073a11139cca9b

Observation 7c860ac1-3029-4930-81f8-a5a7bd44ae3b · outbound

This paper cites pytorch-hessian-eigenthings: efficient pytorch hessian eigendecomposition, 2018.

Position: Curvature Matrices Should Be Democratized via Linear Operators pytorch-hessian-eigenthings: efficient pytorch hessian eigendecomposition, 2018

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.012233Z

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=2026-08-09T21:05:48.931526Z digest=sha256:0f29e6890007e2a513b3d321662772980a1dac71ac5d45eeb7f9dde7daa00b71

Observation 58f88bd5-2197-442c-9c89-dbc81d752e28 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.934847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.934847Z digest=sha256:c1ff8031aae4ecad124bca17bab9efa26595714180acf88353af54693d96f79f

Observation 90d1f98f-3728-48cc-a706-12dc5cc19baa · outbound

This paper cites Deep curvature suite, 2019.

Position: Curvature Matrices Should Be Democratized via Linear Operators Deep curvature suite, 2019

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:50.001268Z

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=2026-08-09T21:05:48.938108Z digest=sha256:67ea4bbe70b19f84b59caadf912da558a49ccaf315ae7a8f66d31b34c81515c2

Observation c01cf163-9475-44d5-b958-42747fa30796 · outbound

This paper cites and Martens, J.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Martens, J

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.941560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.941560Z digest=sha256:639e4cf5e4c00d9668b5ccb330d711bedb4d43d751e28581107c921822338513

Observation b819723c-f945-436c-992e-1d374028906d · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.945137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.945137Z digest=sha256:e89ec49098f7f3b79a262b594fb9bac4dbd004e1ec4fe45755f37ded90455e3c

Observation cbbe5b2a-acca-4d6c-a021-9f5689a587b1 · outbound

This paper cites A., and Dyer, E.

Position: Curvature Matrices Should Be Democratized via Linear Operators A., and Dyer, E

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.978791Z

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=2026-08-09T21:05:48.948819Z digest=sha256:1712a464e3e0de4f7de57591d623f24e33a69490bb7d10e070a7988fc1b4748e

Observation fe84bade-3017-42f1-b2d5-8f2734f1004f · outbound

This paper cites G., and Tropp, J.

Position: Curvature Matrices Should Be Democratized via Linear Operators G., and Tropp, J

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.968704Z

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=2026-08-09T21:05:48.952329Z digest=sha256:eba99069f808ec0111503bccaff68441878aba7faf078ab3efc439dcb006086f

Observation eb4518fc-891f-4f51-9d8d-d11e63afd349 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 38

Resolution
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raw_fallback, observed 2026-08-09T21:05:49.958554Z

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=2026-08-09T21:05:48.955829Z digest=sha256:1dce5051d937c23a91fb7adf3dfe4932f003f3cb2ef223ad2fc663788a3d2b91

Observation dbfefa46-b00f-47d1-90db-8c5ad03872f0 · outbound

This paper cites Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks.

Position: Curvature Matrices Should Be Democratized via Linear Operators Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks

Reference 39

Resolution
verified exact
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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=2026-08-09T21:05:48.959185Z digest=sha256:1cd1d41f455e7e88bf5a4d05596d4aa88b447a7196d7346d1797f5aae4a6ce5d

Observation 145248e4-5ef0-4eff-9105-bb818855ce61 · outbound

This paper cites R., Millman, K.

Position: Curvature Matrices Should Be Democratized via Linear Operators R., Millman, K

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.947818Z

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=2026-08-09T21:05:48.962884Z digest=sha256:dff5d9544e568485de8503c0026b33657d080d1667ef9338df826aace6a035cc

Observation 8c370f87-5b3b-4ef5-a7f9-ef0a7a02fc15 · outbound

This paper cites and Stork, D.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Stork, D

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.936684Z

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=2026-08-09T21:05:48.966411Z digest=sha256:02363629028e59bc670bfdfa25929acb1ba1071f2c21c1527bdd224049dff7b6

Observation 4b41cf04-289a-41d2-9cfe-f45ab44a7915 · outbound

This paper cites Deep residual learning for image recognition.

Position: Curvature Matrices Should Be Democratized via Linear Operators Deep residual learning for image recognition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.925814Z

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=2026-08-09T21:05:48.969962Z digest=sha256:d5b25c2722b96a396631471623cf01b9a0379c45d65cc135604b5ef20e0ab1f0

Observation 9771f774-3259-4c09-a8bc-080f446815ce · outbound

This paper cites On ``natural'' learning and pruning in multilayered perceptrons.

Position: Curvature Matrices Should Be Democratized via Linear Operators On ``natural'' learning and pruning in multilayered perceptrons

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.915083Z

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=2026-08-09T21:05:48.973286Z digest=sha256:fafe6fec63211e9184a76c50720c088f76c301f146d4633b867bd50fa9a75833

Observation cf0c100f-4fbc-4ab9-a6f3-86919466bd58 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.904879Z

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=2026-08-09T21:05:48.977178Z digest=sha256:c594ddc1d97c99d8d78076f6051a2cbf58f5b78cd39724e7005f4dc947d18bbf

Observation 6fb8c461-9251-47e7-8f95-72e7da52a45d · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.

Position: Curvature Matrices Should Be Democratized via Linear Operators A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.894956Z

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=2026-08-09T21:05:48.980731Z digest=sha256:9728f0349d64c278a6758423efa714b3e462f58c4bebfda74d5fa69175b52e3c

Observation 56e5ab77-0924-4762-bdc1-d8450cbd4505 · outbound

This paper cites and Szegedy, C.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Szegedy, C

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:48.984216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:48.984216Z digest=sha256:2fa4c92b838ab75fa669631ca103e2618b7769cf34a075b34041b5e13fea31d9

Observation 29292cc1-c281-40c6-8946-9b7437f7453f · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Position: Curvature Matrices Should Be Democratized via Linear Operators Neural tangent kernel: Convergence and generalization in neural networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.878459Z

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=2026-08-09T21:05:48.987677Z digest=sha256:03826e23071677f879d5be667a428fa24df2cc120d7db1b1be363d30bb3f9230

Observation 0be3fddd-d6c1-470a-bc80-47854cb9a084 · outbound

This paper cites The simplest, fastest repository for training/finetuning medium-sized gpts., 2022.

Position: Curvature Matrices Should Be Democratized via Linear Operators The simplest, fastest repository for training/finetuning medium-sized gpts., 2022

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.868131Z

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=2026-08-09T21:05:48.991103Z digest=sha256:3394f925be9b8d6eb2347ade31bc8050d56b9f16ab6419834bafdb981f6c773e

Observation fb0f7c8d-a087-4973-8d0f-f6b0c934d613 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.858002Z

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=2026-08-09T21:05:48.994470Z digest=sha256:9e3dbd99a4944310092a1e90069bb0826b75fb16045543c436786919f9d55dc6

Observation 77a9738d-d90b-4cb4-95ab-81a0098eabc8 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.847887Z

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=2026-08-09T21:05:48.997941Z digest=sha256:a18daadfc7d3c0684289e0d56a5e8c30b6b9555249bd84f2e24fff3a81fa239a

Observation c73bedf8-a698-4455-94b5-8e736c1128f1 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.837130Z

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=2026-08-09T21:05:49.001070Z digest=sha256:c13a73541f05c90218cb351ac73722bda5d7563381045262bf53401cb97888eb

Observation 8246afb8-bdb0-4cac-add7-1be849f2c8dd · outbound

This paper cites A sober look at LLMs for material discovery: Are they actually good for B ayesian optimization over molecules? In International Conference on Machine Learning (ICML), 2024.

Position: Curvature Matrices Should Be Democratized via Linear Operators A sober look at LLMs for material discovery: Are they actually good for B ayesian optimization over molecules? In International Conference on Machine Learning (ICML), 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.827171Z

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=2026-08-09T21:05:49.004779Z digest=sha256:6805f90613e3612de026eca4ca8dee5645fd1b1d3765795cc163fb3b87a31157

Observation d4bacef8-0960-4cb7-8053-f1c24c4032d9 · outbound

This paper cites Limitations of the empirical fisher approximation for natural gradient descent.

Position: Curvature Matrices Should Be Democratized via Linear Operators Limitations of the empirical fisher approximation for natural gradient descent

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.814856Z

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=2026-08-09T21:05:49.008045Z digest=sha256:d49e8a7025982aa79f44a6fb5b12ea2881dc64e49f71cf66af36a48b2572aba6

Observation 488af8d6-5213-4843-84ad-bc83b7ed959a · outbound

This paper cites Optimal brain damage.

Position: Curvature Matrices Should Be Democratized via Linear Operators Optimal brain damage

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.802761Z

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=2026-08-09T21:05:49.011478Z digest=sha256:294e36cb46e8b2c4f874e82713106b606ceb7951f2c569574a477215625ecdac

Observation 04564129-8b54-4bfe-961d-feca3b64a580 · outbound

This paper cites B., Sorensen, D.

Position: Curvature Matrices Should Be Democratized via Linear Operators B., Sorensen, D

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.791408Z

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=2026-08-09T21:05:49.014978Z digest=sha256:f7dcb94e13644c90e387a3e06bcf98f0aac8b9ea5c95c5703cbb8e45845436f2

Observation 0321cdd7-ccea-46f1-9205-ff2ba34996fa · outbound

This paper cites E., and Grosse, R.

Position: Curvature Matrices Should Be Democratized via Linear Operators E., and Grosse, R

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.779542Z

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=2026-08-09T21:05:49.018249Z digest=sha256:68477557b7aeb9a3ea556c34cd69711ba3c1b50d28df6d592aab9ef66c8716dd

Observation 75ce3f7d-f167-408b-8aa7-a6a50e9e7483 · outbound

This paper cites E., and Makhzani, A.

Position: Curvature Matrices Should Be Democratized via Linear Operators E., and Makhzani, A

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.767642Z

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=2026-08-09T21:05:49.021559Z digest=sha256:8073001bb9760ec4317bea8a2a48c36ec8eaad739fa54c52b38bc5b9a21f20c8

Observation 1bac6cfd-dcd2-496c-816b-3cae0746e6ee · outbound

This paper cites E., and Makhzani, A.

Position: Curvature Matrices Should Be Democratized via Linear Operators E., and Makhzani, A

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.755661Z

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=2026-08-09T21:05:49.024826Z digest=sha256:94d5fff356dc85699da05389f33630497770348e3439c0e53b6c0bd0741a4753

Observation 0b5b848a-7a9c-4a61-9698-ac6dd3b9103c · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.742916Z

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=2026-08-09T21:05:49.028294Z digest=sha256:459ca4bed1f7955867c737a7b4962f8dd0236e9da299063503853233005bff9f

Observation 95fb7847-466f-42d3-b1d9-b0dc7a25ea5f · outbound

This paper cites Optimizing millions of hyperparameters by implicit differentiation.

Position: Curvature Matrices Should Be Democratized via Linear Operators Optimizing millions of hyperparameters by implicit differentiation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.730045Z

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=2026-08-09T21:05:49.031957Z digest=sha256:dceb4c8d4e3810d0612cabf8f07476982fa21db18239d38e1389d6dddbc4359a

Observation 1e63224d-c483-4e39-919d-bc445b8ca523 · outbound

This paper cites Indiscriminate data poisoning attacks on neural networks.

Position: Curvature Matrices Should Be Democratized via Linear Operators Indiscriminate data poisoning attacks on neural networks

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.718005Z

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=2026-08-09T21:05:49.035415Z digest=sha256:45dccd91b44bf8ef717f9594ed408ef8021826d5b7aa02f23f3aae8bf60fe401

Observation 180bd444-ec5f-4b28-a8a9-d3da2c17cdd9 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.705879Z

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=2026-08-09T21:05:49.039201Z digest=sha256:4fbf4516a55b1b3cf11ee67b6ec44bf09ae57ef601ffdcbb9b8169204df8f8e7

Observation 53bf8b4c-892d-4e6f-b9c6-63e3aebfd1ff · outbound

This paper cites Deep learning via H essian-free optimization.

Position: Curvature Matrices Should Be Democratized via Linear Operators Deep learning via H essian-free optimization

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.694668Z

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=2026-08-09T21:05:49.042543Z digest=sha256:3e89a1f3bda33ce96257e06f5c1c8b516bd6fbc26ccd75601b38f9c38ab803bc

Observation 0b284592-8bdf-475d-82f8-88dd59b6682c · outbound

This paper cites New insights and perspectives on the natural gradient method, 2020.

Position: Curvature Matrices Should Be Democratized via Linear Operators New insights and perspectives on the natural gradient method, 2020

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.682915Z

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=2026-08-09T21:05:49.045991Z digest=sha256:40a8fba2eeddad8b06b47c274d21b76f6ed2f10d274ad3905d275e613847441a

Observation 0e100d61-9143-4165-8b01-0adc6a75b85b · outbound

This paper cites and Grosse, R.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Grosse, R

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.050216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.050216Z digest=sha256:480f62fae736378fda23bf4098ecb4173ec3755293fb56f54e6cc33071e56e21

Observation b1895726-cf78-4b15-968d-604718faaeb3 · outbound

This paper cites and Sutskever, I.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Sutskever, I

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.663047Z

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=2026-08-09T21:05:49.053757Z digest=sha256:40755c04a18112df77758d88985d01877d76df3dfa98b54f6163411deeaa49ee

Observation 2c741fdc-6423-47d5-9578-9243475b146f · outbound

This paper cites Kronecker-factored curvature approximations for recurrent neural networks.

Position: Curvature Matrices Should Be Democratized via Linear Operators Kronecker-factored curvature approximations for recurrent neural networks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.650925Z

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=2026-08-09T21:05:49.057318Z digest=sha256:0ed351a91c3dea6492226e26637df22bc27e77ba8722e5b70caad1b2dd1f26a7

Observation 25625161-3dad-403b-a502-5134e5d1beb3 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.638327Z

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=2026-08-09T21:05:49.061276Z digest=sha256:35a0bafedd3f679351dc15a293ec57cf8fa3fa29c3afedb5c36b1cd04ee24c32

Observation 7703bee8-d909-41fe-9a3f-7ac9ec680d88 · outbound

This paper cites A., Musco, C., Musco, C., and Woodruff, D.

Position: Curvature Matrices Should Be Democratized via Linear Operators A., Musco, C., Musco, C., and Woodruff, D

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.626691Z

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=2026-08-09T21:05:49.065011Z digest=sha256:767e2f1ef8cde2f08af4e5dfdd1daa0b964c35d1fe7964693e39d9ebfc80a3de

Observation 79961669-60ce-42a3-98df-0870579fef0a · outbound

This paper cites Influence functions for scalable data attribution in diffusion models.

Position: Curvature Matrices Should Be Democratized via Linear Operators Influence functions for scalable data attribution in diffusion models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.068690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.068690Z digest=sha256:422d744010baeee85acdcb8291056f356d49b9247dc99449a9815c9f25e585b3

Observation 4b18a451-1c43-4338-8d6e-02842ea515a7 · outbound

This paper cites Asdl: A unified interface for gradient preconditioning in pytorch, 2023.

Position: Curvature Matrices Should Be Democratized via Linear Operators Asdl: A unified interface for gradient preconditioning in pytorch, 2023

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.072180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.072180Z digest=sha256:204b41e247508a3f501b5a010320c499b6cbffb90db5b597318150d687ac09b2

Observation 8c32c376-3f7f-47eb-9466-7f8ae6051b71 · outbound

This paper cites Measurements of three-level hierarchical structure in the outliers in the spectrum of deepnet H essians.

Position: Curvature Matrices Should Be Democratized via Linear Operators Measurements of three-level hierarchical structure in the outliers in the spectrum of deepnet H essians

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.597419Z

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=2026-08-09T21:05:49.075527Z digest=sha256:25eba5f575d9d0cb7987db63de34c65fd8be79470a23d2a804df0ad2d2f82990

Observation 122c239c-e53f-48f6-b9e6-343d9096390b · outbound

This paper cites The full spectrum of deepnet hessians at scale: Dynamics with sgd training and sample size, 2019 b.

Position: Curvature Matrices Should Be Democratized via Linear Operators The full spectrum of deepnet hessians at scale: Dynamics with sgd training and sample size, 2019 b

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.585394Z

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=2026-08-09T21:05:49.078794Z digest=sha256:726bdf70b26c4c399406d9c777faa32bd0f21b2eb69121cd3fd3df06432843c8

Observation b80c52c4-6d23-4b64-aefa-551a693d6145 · outbound

This paper cites Y., and Donoho, D.

Position: Curvature Matrices Should Be Democratized via Linear Operators Y., and Donoho, D

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.573411Z

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=2026-08-09T21:05:49.082241Z digest=sha256:fd1ae4cc193c9a93363f4c292e0b5a940d426950a7270a6336da7ea232227304

Observation 14ddf7e5-f2b6-4f1d-98d9-7b940e094cce · outbound

This paper cites PyTorch : An imperative style, high-performance deep learning library.

Position: Curvature Matrices Should Be Democratized via Linear Operators PyTorch : An imperative style, high-performance deep learning library

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.561109Z

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=2026-08-09T21:05:49.085646Z digest=sha256:ff020bc84d377d89db29b1c40eab948ebc1635a8d3fc325248312bad4261e7a5

Observation 31a40507-dd62-4486-93ae-67467534042a · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.089340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.089340Z digest=sha256:3cbff32161269bdcddcaf5bc5f806c518880fedf700aa878f56ca1f061d51266

Observation aa66f4ab-19f3-41ca-a04d-1ac4c3658a29 · outbound

This paper cites Applications of negative dimensional tensors.

Position: Curvature Matrices Should Be Democratized via Linear Operators Applications of negative dimensional tensors

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.540933Z

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=2026-08-09T21:05:49.092797Z digest=sha256:8e032120ae6d7f69426636c1b31bb2592367a99ab71772d2b4ee3148ab0b947a

Observation 8515148f-b8bd-4166-8c63-fa55158131c6 · outbound

This paper cites ISAAC newton: Input-based approximate curvature for newton's method.

Position: Curvature Matrices Should Be Democratized via Linear Operators ISAAC newton: Input-based approximate curvature for newton's method

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.096450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.096450Z digest=sha256:6005cef82a0304888ff840e8c3b1f95a222c35d3147c893fe4026f94f31b36d6

Observation fe3db9f3-b345-48af-ae56-221f11f76139 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.519937Z

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=2026-08-09T21:05:49.099635Z digest=sha256:70fdba3696d5bd961f44a07b59ed478ff9dacf27a876db31c631e1d7c49d784d

Observation 8e653d5e-3553-4805-81ab-cddadba79bc3 · outbound

This paper cites A., Ferri, C., Chen, Z., Goldblum, M., Bruss, C.

Position: Curvature Matrices Should Be Democratized via Linear Operators A., Ferri, C., Chen, Z., Goldblum, M., Bruss, C

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.507091Z

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=2026-08-09T21:05:49.103024Z digest=sha256:43f1b9fe9819c08b48badb50bcdf5fbe7345b1c8df9d683a9af1204f9b55a70d

Observation e1e66cb9-c189-4fc2-8806-8a89f0fef809 · outbound

This paper cites Lineax: unified linear solves and linear least-squares in jax and equinox.

Position: Curvature Matrices Should Be Democratized via Linear Operators Lineax: unified linear solves and linear least-squares in jax and equinox

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.493754Z

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=2026-08-09T21:05:49.106394Z digest=sha256:08149b9eb8807ea2f0f338ab043b2acfed7a46791b84d70b9790023831b8dcb9

Observation 189092fe-1ce0-46d3-9e5f-092023ed9722 · outbound

This paper cites PyLops -- A Linear-Operator Python Library for large scale optimization.

Position: Curvature Matrices Should Be Democratized via Linear Operators PyLops -- A Linear-Operator Python Library for large scale optimization

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.109728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.109728Z digest=sha256:971067928d38c56ded6a52eb33733f9377fe619a2c765362cf7e1c155abfc55f

Observation 44df82b7-53f1-4e80-962b-7e9fbd1ec8eb · outbound

This paper cites and Goldfarb, D.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Goldfarb, D

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.481722Z

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=2026-08-09T21:05:49.113382Z digest=sha256:36678dce3d7ca2bcfa9b289703c3b7cd733be3080f928ac6a4918b0f5a6ad1e3

Observation 1c0a7f12-e174-427c-b800-86c730d29b35 · outbound

This paper cites Eigenvalues of the hessian in deep learning: Singularity and beyond, 2017.

Position: Curvature Matrices Should Be Democratized via Linear Operators Eigenvalues of the hessian in deep learning: Singularity and beyond, 2017

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.469040Z

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=2026-08-09T21:05:49.117090Z digest=sha256:af8ca56fc34dd16d11a794eaf9506a700fd4e9780926df2a91a15c651d0da72f

Observation 876f7db8-2373-422b-96f9-56284a041c75 · outbound

This paper cites U., Dauphin, Y., and Bottou, L.

Position: Curvature Matrices Should Be Democratized via Linear Operators U., Dauphin, Y., and Bottou, L

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.456584Z

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=2026-08-09T21:05:49.120412Z digest=sha256:15ea9119cb6e027e22ce835ec0cf6b9c701f6097bb6a3ba13b871a232c3eb3b3

Observation 9dad4322-2aed-4e01-9bc5-50607a698707 · outbound

This paper cites Cockpit: A practical debugging tool for the training of deep neural networks.

Position: Curvature Matrices Should Be Democratized via Linear Operators Cockpit: A practical debugging tool for the training of deep neural networks

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.444391Z

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=2026-08-09T21:05:49.123739Z digest=sha256:ce037a71f56bcf6dc85e2b3d3e3307ea5924e0a38aff3fca421944a2cf0aefcd

Observation 7722be34-29ce-45dd-86c4-0f0dc7d94b36 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.127255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.127255Z digest=sha256:5cbdc7b3105529e445edff2be762a5bb954b9eaed7ed761d196377cf4064e7a9

Observation 20a3d7fc-c634-4de3-991f-946a7217c4ec · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.423859Z

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=2026-08-09T21:05:49.130896Z digest=sha256:d35d6821525cb8fcc394d4181cc3fb30007c0877e1bc17796ad3eb86e3116c13

Observation ae6bd903-e30d-410c-8d8e-1ba09db1ede3 · outbound

This paper cites P., Bachmann, G., and Hofmann, T.

Position: Curvature Matrices Should Be Democratized via Linear Operators P., Bachmann, G., and Hofmann, T

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.412157Z

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=2026-08-09T21:05:49.134426Z digest=sha256:e9fba43a7812e2dd4fae009f61b07b26deead3a93baf6919ff6163594f651b8c

Observation 8ceef937-a174-436b-a6c1-6ed0d950ab5c · outbound

This paper cites How to guess a gradient.

Position: Curvature Matrices Should Be Democratized via Linear Operators How to guess a gradient

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.137940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.137940Z digest=sha256:ac597acbc6298e59fa5d307559d81cb19baffe51038d03c24446e736474b61ca

Observation 61394b48-dae7-4839-9c41-f3cb29f6b979 · outbound

This paper cites and Sun, K.

Position: Curvature Matrices Should Be Democratized via Linear Operators and Sun, K

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.400175Z

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=2026-08-09T21:05:49.141888Z digest=sha256:b3971880300a15990ab44bd1276de0584e2f1836b703a7313800da5c5227559e

Observation b0f1e700-3e73-42a7-adda-e012b2532adc · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.

Position: Curvature Matrices Should Be Democratized via Linear Operators Dropout: A simple way to prevent neural networks from overfitting

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.387126Z

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=2026-08-09T21:05:49.145575Z digest=sha256:39c0522d793a43ff20696daf380a761cdc3b01b3ea35441acbb7caa8b4025e49

Observation 37edbca1-e069-4ad0-8232-b50f1d9fd7df · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.374758Z

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=2026-08-09T21:05:49.149014Z digest=sha256:dc4e2e86bc6733d45c31aadb03a8bf470fd983427f25e9e223692365dc2c1e7e

Observation 8d06bb6e-5c95-4de0-823d-b99970a53b77 · outbound

This paper cites Debiasing mini-batch quadratics for applications in deep learning, 2024.

Position: Curvature Matrices Should Be Democratized via Linear Operators Debiasing mini-batch quadratics for applications in deep learning, 2024

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.362560Z

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=2026-08-09T21:05:49.152826Z digest=sha256:8d7656bbd57d1a17c5b98bc24a32f5666a49af44a036b0ed7a6c08cf80ad1425

Observation df713798-eee3-4509-8a30-39c756b242ae · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.156309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.156309Z digest=sha256:753dd0b09338628a1f244975a4c465705aa4d8f09cd373a8ac826d287eb18c3c

Observation f2c9f2e6-ed25-45cb-87dc-9ad9eb86b898 · outbound

This paper cites A., Yurtsever, A., Udell, M., and Cevher, V.

Position: Curvature Matrices Should Be Democratized via Linear Operators A., Yurtsever, A., Udell, M., and Cevher, V

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.350256Z

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=2026-08-09T21:05:49.159956Z digest=sha256:ebaa5539a293b4eb2800a923900f2ebbcbd0b758a5391931d5b3aa35000881fa

Observation ad10dbb2-9fb2-4734-9fc3-f7af5af6449d · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.337793Z

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=2026-08-09T21:05:49.163627Z digest=sha256:41812b8c07faebc38aa75311338329f42e0a92bda610e8f8f088faac85e5625f

Observation cb7ac99c-b8f9-42a6-92cf-44d813d5dba5 · outbound

This paper cites N., Kaiser, L.

Position: Curvature Matrices Should Be Democratized via Linear Operators N., Kaiser, L

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:49.167090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:49.167090Z digest=sha256:8ee2a3b239eef7c4485558d474c0a600ebb3492b6820f987825a361e1f3dc286

Observation e808fb6d-07dd-4210-97aa-749f4415a16d · outbound

This paper cites E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt , S.

Position: Curvature Matrices Should Be Democratized via Linear Operators E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt , S

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:49.316830Z

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=2026-08-09T21:05:49.170442Z digest=sha256:eb8bb633476f637a4cd80518c55c408281eff7a4be530cfceaf5ef19efbcf8f3

Observation 2c9a4481-1568-4e4e-b313-6c0f20024954 · outbound

This paper cites an unresolved cited work.

Position: Curvature Matrices Should Be Democratized via Linear Operators Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:05:49.305406Z

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=2026-08-09T21:05:49.174147Z digest=sha256:b4c93f4c0297a97fa22f40d5c32b8415e587c359d9aaac1e70381ac7e6662e55

Pith citing papers

Observation 1d293932-d2ee-44c1-a119-01f3db328bc0 · inbound

laplax -- Laplace Approximations with JAX cites this paper.

laplax -- Laplace Approximations with JAX Position: Curvature Matrices Should Be Democratized via Linear Operators

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:56.569578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:56.569578Z digest=sha256:671234a3230389110dea6530da221b110e8c50d436c7895e17bd3a4ce34e1e0c

Observation 8d1c2735-3f55-4f34-9ad5-fa83b1959693 · inbound

Bayesian Fine-tuning in Projected Subspaces cites this paper.

Bayesian Fine-tuning in Projected Subspaces Position: Curvature Matrices Should Be Democratized via Linear Operators

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:56.267884Z

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=pdf_text observed=2026-05-11T02:00:47.889194Z digest=sha256:e9ce522bb26ff126f5a42c0c3373c17844542ad639562e04880aab0e8b13d32d

Observation 521d9cbf-5923-4d5a-823a-f8fcd4998f7e · inbound

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Position: Curvature Matrices Should Be Democratized via Linear Operators

Reference 82

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:56:56.085888Z

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=2026-06-28T02:35:39.845487Z digest=sha256:4a8d9e94ee8e8f5c80e13c482d7cfdb9b37260dac192f3d95687b368f99c2ae7

Observation cf95413f-549a-47fa-b59c-bbea90b59cf6 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior Position: Curvature Matrices Should Be Democratized via Linear Operators

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-26T08:49:14.982272Z

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=2026-06-26T08:45:34.884703Z digest=sha256:d46252670e4dfb8e20a3455a321500a6802e1aa0f1baf40e73c6eeafba1dfc22