Pith. sign in

Paper Citation Record · LEDGER

Spectral density estimation for normal matrices

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2605.31430.

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

pith.paper-citation-record.v1
2605.31430 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:16:08.912669Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T13:54:47.358867Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c74d02bb-1530-44ec-9fe6-d029fc1dfd34 · outbound

This paper cites Estimating the Spectral Density of Large Implicit Matrices.

Spectral density estimation for normal matrices Estimating the Spectral Density of Large Implicit Matrices

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-01T20:26:12.155995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:cc18151124a3438e6f5fdfc6070f3e4ac3553d290935c59aad96af1164d4d493

Observation ae58bae3-8b8b-4c7e-89ad-71f78e1fcbc0 · outbound

This paper cites Concentration and Gaussian Approximation for Randomized Sums.

Spectral density estimation for normal matrices Concentration and Gaussian Approximation for Randomized Sums

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:7bb599c2e75105e57f910cfc9b07748cd072742e9ffaac136e107cec6d392353

Observation 4b2f7def-da38-4bd3-993f-885d7551fd93 · outbound

This paper cites Testing for high-dimensional geometry in random graphs.

Spectral density estimation for normal matrices Testing for high-dimensional geometry in random graphs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:f269672ece79137d4576ea4f2e23684383950a1b5ffbe9df83dd26352b7b7465

Observation b73d4d63-b48d-4eca-b892-f189e0018b12 · outbound

This paper cites Pseudospectral shattering, the sign function, and diagonalization in nearly matrix multiplication time.

Spectral density estimation for normal matrices Pseudospectral shattering, the sign function, and diagonalization in nearly matrix multiplication time

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:5e9b330bf55035dd14e279234020de941d63d53def5717a0b7bcbe1949c94587

Observation 3b0c32bf-f2c6-44a3-bf74-af70d5aedd4b · outbound

This paper cites Operator learning without the adjoint.

Spectral density estimation for normal matrices Operator learning without the adjoint

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:ae3c25baa868857f600d91f05d51dbdc378046db507d8c9406abffe75ece38dc

Observation e466033f-c748-4695-8671-14ed2bfbe28c · outbound

This paper cites Improved spectral density estimation via explicit and implicit deflation.

Spectral density estimation for normal matrices Improved spectral density estimation via explicit and implicit deflation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:15ef08d8b0c9b74da6ba2f87229a097d471baf056c72dbff5f84c474cef7ccd2

Observation 94b0a814-d84e-498b-b61f-a14a53d71eeb · outbound

This paper cites Sublinear time spectral density estimation.

Spectral density estimation for normal matrices Sublinear time spectral density estimation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:77aef17543515157bc4d155bbc782d8fb567812a0c30ff8872d6d51c39175cae

Observation 6c6309e0-e34d-40aa-b9e4-975c84891fa2 · outbound

This paper cites Krylov methods are (nearly) optimal for low-rank approximation.

Spectral density estimation for normal matrices Krylov methods are (nearly) optimal for low-rank approximation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:d7313ca6c871796af9bb47fad6b309edb319f1fbaab75d9a3b4e526baf131d52

Observation aeeb8524-8c31-4aba-af6e-5250ccc6de94 · outbound

This paper cites Download the datasaurus: Never trust summary statistics alone; always visualize your data.

Spectral density estimation for normal matrices Download the datasaurus: Never trust summary statistics alone; always visualize your data

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:26:12.151243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:51edffc8ad65416613f03fa333aea156587bc768f3c463309fe009ae4ad74e9a

Observation e2e5ab39-6390-4931-b59a-03bb3ddcdcc0 · outbound

This paper cites Query lower bounds for log-concave sampling.

Spectral density estimation for normal matrices Query lower bounds for log-concave sampling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:daf0792d066778fcc6b7c27a9ea012b010b1e00a9e824194afb767e1d8efd2f8

Observation 7ac959d0-8d9c-4f52-a94b-c95ef11618d1 · outbound

This paper cites Analysis of stochastic L anczos quadrature for spectrum approximation.

Spectral density estimation for normal matrices Analysis of stochastic L anczos quadrature for spectrum approximation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:c964e67de26a5b16a829e5e84363b69ec8203137efa74546cb65b56cc9d13552

Observation a1b8781f-c478-4949-841e-995f20771688 · outbound

This paper cites Estimating the numerical range with a Krylov subspace.

Spectral density estimation for normal matrices Estimating the numerical range with a Krylov subspace

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:26:12.140364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:31305357f49469b1a663c96f67f295ec8d2cc52f1dd1ddf18799bac9f9230295

Observation c12e0fd7-25e9-482e-bda2-fa7fa6ebfd9b · outbound

This paper cites Unitary polynomials in normal matrix models and wave functions for the fractional quantum Hall effects.

Spectral density estimation for normal matrices Unitary polynomials in normal matrix models and wave functions for the fractional quantum Hall effects

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:d7d769d3aa051ac87cbee1f9a6199072bdde7881018759e1b7469193cd83a3db

Observation 8ce5f249-23bd-4c94-89d8-fb34e59c7393 · outbound

This paper cites On the structure of correlation functions in the normal matrix model.

Spectral density estimation for normal matrices On the structure of correlation functions in the normal matrix model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:0195fa69eddd5213d626321e4c8907e0beed0f5518005a45f7247d2bbf2f56a7

Observation cb98014a-a725-4635-a350-342d2d1211b1 · outbound

This paper cites The matrix-vector complexity of $Ax=b$.

Spectral density estimation for normal matrices The matrix-vector complexity of $Ax=b$

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-13T01:17:56.484549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:9fc6f8db36dfbe60540ba4f1370b60ab48bd718c4f43854163404de6d0439e77

Observation 426ef417-9a1d-4806-b807-b666a325c89d · outbound

This paper cites An interpolation--regression approach for function approximation on the disk and its application to cubature formulas.

Spectral density estimation for normal matrices An interpolation--regression approach for function approximation on the disk and its application to cubature formulas

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:12d077cef90568356e34cc849b6361f99da3c203c51df5c4d8289946f6bb5825

Observation c5bd720e-a86f-4d56-b411-adbd09954f4a · outbound

This paper cites Imbedding conditions for Hermitian and normal matrices.

Spectral density estimation for normal matrices Imbedding conditions for Hermitian and normal matrices

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:a8e811082b6fa603cf6e840d053161289ab0a00596feca93d0adbedc12e3f31f

Observation 37b6727d-d96a-4935-9b32-d5ce856ea3db · outbound

This paper cites An investigation into neural net optimization via H essian eigenvalue density.

Spectral density estimation for normal matrices An investigation into neural net optimization via H essian eigenvalue density

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:a5d32a1fae52bce5b71adff2a649c1a4d4af86e1a1ec9d92b300c95f14acee47

Observation b21dd57c-0fe7-44ce-9dc3-d15a61d8a5d2 · outbound

This paper cites Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions.

Spectral density estimation for normal matrices Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:5eb2ca616b71470331a66e10c0d9e58df3a45559f556f003b05251289029a7b4

Observation 3e5dd4e8-ddd9-4b19-bbc1-d154dafeb771 · outbound

This paper cites On approximation by trigonometric sums and polynomials.

Spectral density estimation for normal matrices On approximation by trigonometric sums and polynomials

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:d8d88866b073b186e96e43cc3d693adb00fa22791dd4b837aac935848a1bde3a

Observation b08182bc-5c6b-4f0f-8f73-3514a80b27fc · outbound

This paper cites Approximation of rectangular beta- Laguerre ensembles and large deviations.

Spectral density estimation for normal matrices Approximation of rectangular beta- Laguerre ensembles and large deviations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:bf380203738f93802e35cefd0240b6606fe0d7a3736e08594549c3abcbdfebd3

Observation 97af6fc9-0b5d-4d6f-9bcf-ad107edf7bf1 · outbound

This paper cites Lanczos method for the calculation of finite-temperature quantities in correlated systems.

Spectral density estimation for normal matrices Lanczos method for the calculation of finite-temperature quantities in correlated systems

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:e79730664c5ce664db8c08cab99655ac5afb88696ed576d0a610fce07c39dc5f

Observation de6a6360-bd92-4c97-be84-ef5296f29d61 · outbound

This paper cites An iteration method for the solution of the eigenvalue problem of linear differential and integral operators.

Spectral density estimation for normal matrices An iteration method for the solution of the eigenvalue problem of linear differential and integral operators

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:d68d8bec200338003faad8224d484da06b059e932f197a65bd0616342aa69f06

Observation df52c6fe-6391-48d9-8908-172f3ad8af94 · outbound

This paper cites Approximating spectral densities of large matrices.

Spectral density estimation for normal matrices Approximating spectral densities of large matrices

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:bce33d2de04fbd5a0c9325143812dd9aa1be18c07069d1c52f9a4261bd16a1d0

Observation 634418e0-a670-4309-b86b-a84275f79384 · outbound

This paper cites The eigenvalues slicing library (EVSL) : Algorithms, implementation, and software.

Spectral density estimation for normal matrices The eigenvalues slicing library (EVSL) : Algorithms, implementation, and software

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:294fcd7e4ca6c914657f5a6ba00cabba72b8d0a14eee8917209281c5b9b72b09

Observation 73970a5d-ab5e-4fc7-8b2c-7d792a19452d · outbound

This paper cites Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing.

Spectral density estimation for normal matrices Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:22f7d850af0c0b0ea67754cddf8ce6593ac80788f2230efb5fa0f14c167ec94e

Observation 34b01c30-9e2d-4b48-932a-4f1fc4ca961a · outbound

This paper cites Randomized block K rylov methods for stronger and faster approximate singular value decomposition.

Spectral density estimation for normal matrices Randomized block K rylov methods for stronger and faster approximate singular value decomposition

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:fb8405a6fb621b4d6a8bec61e79c82e7260b8b1a25b07677c412d40047d806e8

Observation b248ce87-c3ed-4c8c-baa7-69f4ba63217a · outbound

This paper cites Meyer, Cameron Musco, Christopher Musco, and David P.

Spectral density estimation for normal matrices Meyer, Cameron Musco, Christopher Musco, and David P

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:b4dea26f7419eefc57c4f76a092792148f3ed499e43d57cc159d0c7c15778d68

Observation 2b8c044e-f95a-4a7c-973b-11bfd87894f1 · outbound

This paper cites Sharper bounds for C hebyshev moment matching, with applications.

Spectral density estimation for normal matrices Sharper bounds for C hebyshev moment matching, with applications

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:fc84b755444810de2621ef5319cf9dad9139d94dd29cecb394da603755d85fc0

Observation 7466844b-980d-448d-bf14-67c26bcfd816 · outbound

This paper cites an unresolved cited work.

Spectral density estimation for normal matrices Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:7d678a388b4c3887af05c318b320329b5408420224306e65aa618404d7bf9fde

Observation 7c2d6699-1a77-4101-b3d9-31ff6dc694c5 · outbound

This paper cites Raikov and Y.M.

Spectral density estimation for normal matrices Raikov and Y.M

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:b6b211206290c9aad5bb9f47040e336875bfcd73ef3ec1f4e0532cea8a543c67

Observation 4235c965-7aad-491d-abbe-8cb558884df2 · outbound

This paper cites an unresolved cited work.

Spectral density estimation for normal matrices Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:7d743c0e0e756a1452d298d308b7520d25d2179cadd75e13b127c088b4d4f47b

Observation 10cc7919-e7ef-4491-8fc7-c12fd28a1c2a · outbound

This paper cites R \'a cz and Jacob Richey.

Spectral density estimation for normal matrices R \'a cz and Jacob Richey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:1e4074a7e1c8b57a337706bda3cd7d78a9eaa45beee83fd8b403be7d1eaedd37

Observation e9955016-41e1-4e45-9771-8a3fc50f9218 · outbound

This paper cites Combinatorial Mathematics.

Spectral density estimation for normal matrices Combinatorial Mathematics

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:dfb189b3dd7913624f937b985acfc52220053eb4c02afceaa47ee56a17691165

Observation 92aef203-afe5-4579-8f18-89cfef2c640d · outbound

This paper cites Numerical methods for large eigenvalue problems: revised edition.

Spectral density estimation for normal matrices Numerical methods for large eigenvalue problems: revised edition

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:210b6366348b4fbe13bedb434ae0b24bd3437532b8182ef3e36e2c23507b66ff

Observation 7ec4845b-ace5-404a-b7a4-70e1ebf9fc55 · outbound

This paper cites Woodruff.

Spectral density estimation for normal matrices Woodruff

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:0e33739dca7929457e910ac42855261b81ca29579cceb38a8f414de4acec1a48

Observation eb303f4b-ab16-4fcf-8c0c-cfdf8a667837 · outbound

This paper cites an unresolved cited work.

Spectral density estimation for normal matrices Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:8bfb1967662b4f52f2cd94f342b969ef028acf476fa91a74300be4ddddbaebd2

Observation 732073c7-8708-4ad7-92d5-3a284a5492a8 · outbound

This paper cites Woodruff.

Spectral density estimation for normal matrices Woodruff

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:c56c56381dbdf9256df05afbef1146152789996f5116edba02ddcd7ea680018f

Observation 86a29270-6a23-4bde-aead-63b1476cbac3 · outbound

This paper cites The kernel polynomial method.

Spectral density estimation for normal matrices The kernel polynomial method

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:004afa029215fa8737b76fcb6cff43461ad4035658941e429feb14ce9a8314f1

Observation 6b838c9a-9fc0-4d82-885b-a90bc34d99cd · outbound

This paper cites Woodruff, Fred Zhang, and Richard Zhang.

Spectral density estimation for normal matrices Woodruff, Fred Zhang, and Richard Zhang

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T21:16:08.912669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:16:08.912669Z digest=sha256:b6d6855867dd9e9b704ebe826b56fe22fc1a9cfd4d3e6ef1a5354102fc7f39c9

Pith citing papers

Observation a8c7d6d0-a929-422a-8097-fe04e39c2065 · inbound

A non-asymptotic bound on the TV distance between a Wishart matrix and an appropriately scaled GOE matrix cites this paper.

A non-asymptotic bound on the TV distance between a Wishart matrix and an appropriately scaled GOE matrix Spectral density estimation for normal matrices

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T13:54:47.358867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T13:54:47.358867Z digest=sha256:f92b6c4008ab4b866af3f607a6d12fb4d785de9494099b3019c771d47ee74712