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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 2026-08-19T06:32:44.657259+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

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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

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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

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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

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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

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

Source-reported events for the cited work

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.906636Z digest=sha256:d40e73d445656aa297ea00630f35b2900ca7bfe91095b6c00f2b22b1b2f6ecd3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.910087Z digest=sha256:839dafbedada53591c1f77daaf520d3c038d8d443ca365c06eeddbcf3ff241e3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.913415Z digest=sha256:b03fe902ac6d3c4560bb0fb757dbaaf68058f746310b8e06c72b235481fafb6e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.916838Z digest=sha256:409ef983c90da871441e4b5ecdcb02229f284f6797c93e2b640ada09bce9646d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.921139Z digest=sha256:7ae1bb262393ceca2795918f814a3ac23e88bf2f3ab1db20232bf5d1628dd00d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.924658Z digest=sha256:2ccc9b9a3b8c3507f3ccb8cc4725ea03c08733365e17ba49b1ac7d9db0140288

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.928176Z digest=sha256:6d3c338c1d607566355f713c1897d9191e525b8c9170c46e4aa654ae3fa4bdef

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.931526Z digest=sha256:5f00a3c9b8df3a5667a16cf0f22de4ce1f1fbe605b72bb7ce3b1c5c5838bc5fc

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.938108Z digest=sha256:2a624f0016db29e1d38adb3ff781420488da360d618f35638c2f52cbef63ba7d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.948819Z digest=sha256:ae1555ef75ec3a9f066d863de55dd131e62876f578fa7d221d6db2e2e5d1137d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.952329Z digest=sha256:0eedff3b3473076c18d6d30a28a587d36981a4d9b3bc7e24772b9012b9364773

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.955829Z digest=sha256:200fbe8ac31ce44ecd1e05015b4620b97d236e09f385aad87de6e7125b57918e

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
local_arxiv, observed 2026-08-09T21:05:49.259302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.959185Z digest=sha256:dfc8d1529185f9b9e45b0cbaa21736c734876ce02b5d51f153145b9233eb105a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.962884Z digest=sha256:e4a32b95137437d4165b6bba297c003823dc913d4be78851bd6e059415773471

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.966411Z digest=sha256:f74c5dcdcef4bb97755bff9ebcbfca4acdb2cd8022b74c083f5f789922d8bd04

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.969962Z digest=sha256:5d5b90d131b2c69547c4511b8778a1120e9152045cac08a50958d1b1d9d46e3a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.973286Z digest=sha256:8af8d80be5b8ca81ca5ec4109ccac3f9bc6e870accd087214f014783a03bf807

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.977178Z digest=sha256:9063cb9d3d5470d30d2075684955ed97fdc278a291de91aad69a957fa8a29c5c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.980731Z digest=sha256:51dbb9f9ba619390a7cad2d3ba4d97315815f1c0b2ce5b6cd12e8123f0a77584

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.987677Z digest=sha256:ebd16fbf75d70f03b0728bf2426a80e23423e6403892de1b03a6b7c4d308b784

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.991103Z digest=sha256:acb10dbee88dba3e79ca753d1015521cade4e76f76dab1020eb8b77896c3b71d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.994470Z digest=sha256:7ca276dc83753a9d3eda0a1f470d725c600ab6ce538cb147c78c9344dacb871c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:48.997941Z digest=sha256:eaea29e564183527b2bc9522dc16f1c5fdd924ddaee6bd05e4483b1c99fc55b5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.001070Z digest=sha256:6d20ce7d5b1dbc5b48ea57cdfba754f61b3ca54d821974617c5dc0ee25a4e369

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.004779Z digest=sha256:c12ae6ed8066ebd6995ab9b5b8c251b49ed31f1abeb5b02bbe25a0332a63ae35

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.008045Z digest=sha256:71f24080b8591b4af58ca674eb4e856eb6bfbc5c1729b1a4081b89710c1fd151

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.011478Z digest=sha256:d0b62d6e8aef17942f30a61f7484913f25aaeb7d65fe701f76b331db84b3e976

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.014978Z digest=sha256:5324e0f5af5382a6072cbb08211ba718847bdd4afe93813daff253e074b5f0ae

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.018249Z digest=sha256:7faf37e21b88764dfde7fbc0a29a751a33a9f919d9d172f9e4673681aee5875d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.021559Z digest=sha256:1f97462642f3e3093d9135c8cc8c0176fd4b7172c6ee6aa02bf30610923e0c0c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.024826Z digest=sha256:3a8f22a9d1663060c2ac75055ca6778126798d1fd546e015bd73a9e163073646

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.028294Z digest=sha256:19e1ef87c2d24fe58ca6e453eb072e5ef29894d76eb8f2008037f56e67c1d5ba

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.031957Z digest=sha256:861544aae9b116d67e26af11b18d3d41cbcfe22efd31e02f977bc466f7f25c09

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.035415Z digest=sha256:e714e0ead5c4f67705604bff3fd9f53a7298097e60894096772a2caf55c1b477

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.039201Z digest=sha256:2ade246bb92f3f5dbe198284607f8b50e8792962b5eda1f4bf15bcfd0e378bd1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.042543Z digest=sha256:160cf028f993b342adb5b0a0bb59f114d0c88c2176bdc0e1ee10d83bd2b56857

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.045991Z digest=sha256:40981e7f15fe61de29e1c05a4e800fee9d3c55e95f9f92913fbd9c0586948ff2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.053757Z digest=sha256:7af43281ac57127cd5a3e2f01e6070bd186b65a796fdce62e998bb69e8ca04a9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.057318Z digest=sha256:ed8d2fda31aab347f144884023b76ad19069353b533da3062f4d1c705ebad3ab

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.061276Z digest=sha256:64a005a6003ec6e010f335c55520dfe36d6069287175417ac13824329117df0a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.065011Z digest=sha256:920f823725199e3a8cae2243bff5531e451c00b75c041156d10cd6518b76191f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.075527Z digest=sha256:42d51d776ae489d173254072348890603419ddc432d9e1f284c2b70d4b3f4213

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.078794Z digest=sha256:699865c1b53a4932f47df7de1cdfb0e494fa92aacb551d3fbfe73f23b306aeaf

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.082241Z digest=sha256:0aaf58ea99215d08eb20e5e63b7e518a4f100fb24b824685353e87dc8be69936

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.085646Z digest=sha256:9aac804e5c1253d92f8211aff313cb83d60b40e71388250ee1092c79f87556f0

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.092797Z digest=sha256:0e40a934ef59b1822dc8b8365700fb262442c1a6ae39aadd571b9f5c2c9b4d67

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.099635Z digest=sha256:899ff5538150f4db485cce5f0e831ddf14648bfdc6de88a91d74b022af6ee2bc

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.103024Z digest=sha256:7ba3847ee3c4d2eef9edb6d83c54efbaf578d09861c7fc9b3db2002b16a5935a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.106394Z digest=sha256:eb370968d7aad3c3d56fc1ee7fc82e8ccae8f39c1040b5365defe2cb081e9079

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.113382Z digest=sha256:ec2970842043675e0896700b90d109a639429536b3bb95e526d9a0abe6a110ca

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.117090Z digest=sha256:f0d9d4bb74bfb40ab43a6fcb60822986b11293768104ff5c9915f82c9e1a6162

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.120412Z digest=sha256:f6634eb58dcc98fe94d8b86463d243f833f8e574d0904b7138a6d7ef0fd011cf

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.123739Z digest=sha256:22a46808c6082fc55861df96a82d49a868b58b5bd7f8a227cf2f9a81a39f5683

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.130896Z digest=sha256:8d2f3c92265fc6da4059e75ec66b62fc2b222c5210f7662edc107852b17d2661

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.134426Z digest=sha256:ac40e581e21390cb31de2c5a73834713162493831bb7384f4f75616c8ccf3bdf

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:e2753fee1add0414e0ef5156c784bd4c5014797f8ee742ff6b9a8d77da4f0362

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.141888Z digest=sha256:0c0ff246d874a8fb1d8b124ba305c3635c6142c69a6b7981a572f1a3488f56be

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.145575Z digest=sha256:5b0a974cc5fd6531546a7fdbac8778e071108d4b9c92ba5058a75a770d5c17e9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.149014Z digest=sha256:07603b5a045012a2dc16518213b19055fe5050bbf0441148e86e21e8aaa0fd1f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.152826Z digest=sha256:403dcb7180bff0c75083fce74c61770865248426e8433c5b037ca4b7bade5b1c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.159956Z digest=sha256:2d2c7dd270122f74083c839aeab1f9bd72b029c579cbdaae75c6f34278a56dd4

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.163627Z digest=sha256:e1896c8bc5e5f9328f764ffaae9cd169f7c7c0948116e76d7f2c9fd3d0894af3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.170442Z digest=sha256:991cd48affb8e5f1141a02078918b269320072bf5c72524eba5b04c51167dc8e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T21:05:49.174147Z digest=sha256:f82960b781dfd3de2353b6c62c216b0c10bf2bffc73538cd25ceb1f7d97c27e8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T02:00:47.889194Z digest=sha256:cee21d7ad59da1464fe067ed9ef4e3431f256728f976c4f6623c1a5d123dbeb0

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T02:35:39.845487Z digest=sha256:84ad85ac4a7a151658e4a80e056af373379d1259a49a4c0e67743969ca02a1e2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T08:45:34.884703Z digest=sha256:4b14210bdbde509988d01f9cfb00b08c2f7c887318d0c3c643267ada3cc4e76d