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Paper Citation Record · LEDGER

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions

As of 5 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2605.12801.

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pith.paper-citation-record.v1
2605.12801 v1

Coverage vector

measured 42 of 42 reference resolution

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42 of 42 outbound references displayed

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Outbound references

Observation c7c247a2-9356-4b5d-a6f2-7524d846100c · outbound

This paper cites Al-Mohy and Nicholas J.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Al-Mohy and Nicholas J

Reference 1

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This paper cites Learning quantum systems.Nature Reviews Physics, 5:141–156.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Learning quantum systems.Nature Reviews Physics, 5:141–156

Reference 2

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This paper cites Error estimates and evaluation of matrix functions via the Faber transform.SIAM Journal on Numerical Analysis, 47(5):3849–3883.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Error estimates and evaluation of matrix functions via the Faber transform.SIAM Journal on Numerical Analysis, 47(5):3849–3883

Reference 3

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This paper cites Matrix functions in network analysis.GAMM-Mitteilungen, 43 (3):e202000012.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Matrix functions in network analysis.GAMM-Mitteilungen, 43 (3):e202000012

Reference 4

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Observation 6c6556be-4d62-4031-bf35-5bbe51cf8547 · outbound

This paper cites Krylov-aware stochastic trace estimation.SIAM Journal on Matrix Analysis and Applications, 44(3):1218–1244.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Krylov-aware stochastic trace estimation.SIAM Journal on Matrix Analysis and Applications, 44(3):1218–1244

Reference 5

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This paper cites A bivariate extension of the Crouzeix-Palencia result with an application to Fr\'echet derivatives of matrix functions.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions A bivariate extension of the Crouzeix-Palencia result with an application to Fr\'echet derivatives of matrix functions

Reference 6

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Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Unresolved cited work

Reference 7

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This paper cites Communication in complex networks.Applied Numerical Mathematics, 172:186–205.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Communication in complex networks.Applied Numerical Mathematics, 172:186–205

Reference 8

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This paper cites Scal- able log determinants for gaussian process kernel learning.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Scal- able log determinants for gaussian process kernel learning

Reference 9

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Observation c6af202a-3968-43b5-994f-d3f238628af7 · outbound

This paper cites Elman, David J.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Elman, David J

Reference 10

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This paper cites Efficient solution of parabolic equations by Krylov approximation methods.SIAM Journal on Scientific and Statistical Computing, 13(5):1236– 1264.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Efficient solution of parabolic equations by Krylov approximation methods.SIAM Journal on Scientific and Statistical Computing, 13(5):1236– 1264

Reference 11

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Observation fe3ca0f3-b9ff-4835-844e-828a235fdc73 · outbound

This paper cites Weinberger, David Bindel, and Andrew Gordon Wilson.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Weinberger, David Bindel, and Andrew Gordon Wilson

Reference 12

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This paper cites Golub and Gérard Meurant.Matrices, Moments and Quadrature with Applications.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Golub and Gérard Meurant.Matrices, Moments and Quadrature with Applications

Reference 13

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Observation abf7eee7-63ad-4896-865d-f7dfeaed7d03 · outbound

This paper cites Golub and Charles F.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Golub and Charles F

Reference 14

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This paper cites Practical hamiltonian learning with unitary dynamics and gibbs states.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Practical hamiltonian learning with unitary dynamics and gibbs states

Reference 15

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This paper cites J.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions J

Reference 16

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This paper cites Hochbruck and C.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Hochbruck and C

Reference 17

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This paper cites Robust and efficient hamiltonian learning.Quantum, 7:1045.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Robust and efficient hamiltonian learning.Quantum, 7:1045

Reference 18

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This paper cites Hutchinson , A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines, Communications in Statistics - Simulation and Computation, 18 (1989), pp.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Hutchinson , A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines, Communications in Statistics - Simulation and Computation, 18 (1989), pp

Reference 19

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This paper cites Scalable marginal likelihood estimation for model selection in deep learning.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Scalable marginal likelihood estimation for model selection in deep learning

Reference 20

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This paper cites Relton, and Marcel Schweitzer.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Relton, and Marcel Schweitzer

Reference 21

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This paper cites Gradients of functions of large matrices.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Gradients of functions of large matrices

Reference 22

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This paper cites A krylov subspace method for the approximation of bivariate matrix functions.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions A krylov subspace method for the approximation of bivariate matrix functions

Reference 23

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This paper cites A novel krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions A novel krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions

Reference 24

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This paper cites Deep learning via hessian-free optimization.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Deep learning via hessian-free optimization

Reference 25

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This paper cites SIAM.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions SIAM

Reference 26

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Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Unresolved cited work

Reference 28

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Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Unresolved cited work

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Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Unresolved cited work

Reference 30

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This paper cites PhD thesis, University of London.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions PhD thesis, University of London

Reference 31

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Observation 5197a4f8-f160-44b9-8275-4f97eba12a9d · outbound

This paper cites Parlett.The Symmetric Eigenvalue Problem.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Parlett.The Symmetric Eigenvalue Problem

Reference 32

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This paper cites Parlett and David S.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Parlett and David S

Reference 33

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This paper cites On the stability of network indices defined by means of matrix functions.SIAM Journal on Matrix Analysis and Applications, 39(4):1521–1546.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions On the stability of network indices defined by means of matrix functions.SIAM Journal on Matrix Analysis and Applications, 39(4):1521–1546

Reference 34

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Observation 8ab46ee2-22e3-49a2-b4ec-b5f92364c1bb · outbound

This paper cites Physicochemical properties of protein tertiary structure.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Physicochemical properties of protein tertiary structure

Reference 35

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8eaba314-5f90-4d7e-a431-799954987a67 · outbound

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Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ad28f8fb-e067-42ee-b155-474f3dbdac2b · outbound

This paper cites Rue , author L.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Rue , author L

Reference 37

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Observation 4f59fb77-7e76-46ed-8406-3047f348812d · outbound

This paper cites Saad, Analysis of some krylov subspace ap- proximations to the matrix exponential operator, SIAM Journal on Numerical Analysis 29, 209 (1992) , https://doi.org/10.1137/0729014.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Saad, Analysis of some krylov subspace ap- proximations to the matrix exponential operator, SIAM Journal on Numerical Analysis 29, 209 (1992) , https://doi.org/10.1137/0729014

Reference 38

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verified exact
doi, observed 2026-05-14T19:32:50.259061Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d889b171-6d59-4372-b89b-a2e35e97f3b4 · outbound

This paper cites Saad, Iterative Methods for Sparse Linear Systems, Society for Industrial and Applied Mathematics.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Saad, Iterative Methods for Sparse Linear Systems, Society for Industrial and Applied Mathematics

Reference 39

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Observation 2840e78e-f662-4db4-b61f-2814b93a60c3 · outbound

This paper cites Schraudolph.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Schraudolph

Reference 40

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Observation feaa56e7-dcc1-4e55-bcbc-3660662e482e · outbound

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Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Unresolved cited work

Reference 41

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Observation ee8beaa6-be5a-4d89-b866-aff692c5276e · outbound

This paper cites an unresolved cited work.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Unresolved cited work

Reference 42

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6b1ab9d3-4c4d-4c76-8e32-e06e93dcff4c · outbound

This paper cites Fast estimation oftr(f(A)) via stochastic lanczos quadrature.SIAM Journal on Matrix Analysis and Applications, 38(4):1075–1099.

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions Fast estimation oftr(f(A)) via stochastic lanczos quadrature.SIAM Journal on Matrix Analysis and Applications, 38(4):1075–1099

Reference 43

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verified exact
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No inbound Pith citation observations are available.