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Paper Citation Record · LEDGER

Generalized tensor transforms and their applications in classical and quantum computing

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2507.02420.

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

pith.paper-citation-record.v1
2507.02420 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:37:38.336615Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:36.017177Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:08:37.294728Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation fccf1380-c549-427f-85f1-d936887cceff · outbound

This paper cites The inequality of Erd ˝os-Turan-Koksma: Walsh and Haar functions over finite groups.

Generalized tensor transforms and their applications in classical and quantum computing The inequality of Erd ˝os-Turan-Koksma: Walsh and Haar functions over finite groups

Reference 1

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This paper cites A generalised hadamard transform.

Generalized tensor transforms and their applications in classical and quantum computing A generalised hadamard transform

Reference 2

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This paper cites Improved Haar and Walsh functions over triangular domains.

Generalized tensor transforms and their applications in classical and quantum computing Improved Haar and Walsh functions over triangular domains

Reference 3

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This paper cites On generalized Walsh fourier series.

Generalized tensor transforms and their applications in classical and quantum computing On generalized Walsh fourier series

Reference 4

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This paper cites Episkoposian.

Generalized tensor transforms and their applications in classical and quantum computing Episkoposian

Reference 5

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This paper cites A generalized Walsh system and its fast algorithm.

Generalized tensor transforms and their applications in classical and quantum computing A generalized Walsh system and its fast algorithm

Reference 6

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This paper cites Walsh functions and their applications.

Generalized tensor transforms and their applications in classical and quantum computing Walsh functions and their applications

Reference 7

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This paper cites Walsh functions for simplifying computation of blood pressure wave power spectra.

Generalized tensor transforms and their applications in classical and quantum computing Walsh functions for simplifying computation of blood pressure wave power spectra

Reference 8

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This paper cites A quantum approach for digital signal processing.

Generalized tensor transforms and their applications in classical and quantum computing A quantum approach for digital signal processing

Reference 9

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This paper cites Analysis of periodic data using Walsh functions.

Generalized tensor transforms and their applications in classical and quantum computing Analysis of periodic data using Walsh functions

Reference 10

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This paper cites Walsh functions and their use in the assessment of surface texture.

Generalized tensor transforms and their applications in classical and quantum computing Walsh functions and their use in the assessment of surface texture

Reference 11

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Observation a160911e-7d4a-4ec4-b2e0-9d2345899fcd · outbound

This paper cites A hybrid classical-quantum algorithm for digital image processing.

Generalized tensor transforms and their applications in classical and quantum computing A hybrid classical-quantum algorithm for digital image processing

Reference 12

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This paper cites Hybrid classical-quantum image processing via polar Walsh basis functions.

Generalized tensor transforms and their applications in classical and quantum computing Hybrid classical-quantum image processing via polar Walsh basis functions

Reference 13

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This paper cites Edge detection using Walsh functions.

Generalized tensor transforms and their applications in classical and quantum computing Edge detection using Walsh functions

Reference 14

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Generalized tensor transforms and their applications in classical and quantum computing A hybrid classical-quantum algorithm for solution of nonlinear ordinary differential equations

Reference 15

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Generalized tensor transforms and their applications in classical and quantum computing Minimum energy control of time-delay systems via walsh functions

Reference 16

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Generalized tensor transforms and their applications in classical and quantum computing Transfer function determination from impulse response via walsh functions

Reference 17

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This paper cites Genetic algorithms and Walsh functions: Part I, A gentle introduction.

Generalized tensor transforms and their applications in classical and quantum computing Genetic algorithms and Walsh functions: Part I, A gentle introduction

Reference 18

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Generalized tensor transforms and their applications in classical and quantum computing A fast quantum mechanical algorithm for database search

Reference 19

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Generalized tensor transforms and their applications in classical and quantum computing An efficient implementation of a quantum search algorithm for arbitrary N

Reference 20

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Generalized tensor transforms and their applications in classical and quantum computing An efficient quantum algorithm for preparation of uniform quan- tum superposition states

Reference 21

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Generalized tensor transforms and their applications in classical and quantum computing Quantum complexity theory

Reference 22

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This paper cites A generalization of Bernstein–Vazirani algorithm with multiple secret keys and a probabilistic oracle.

Generalized tensor transforms and their applications in classical and quantum computing A generalization of Bernstein–Vazirani algorithm with multiple secret keys and a probabilistic oracle

Reference 23

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Generalized tensor transforms and their applications in classical and quantum computing Algorithms for quantum computation: discrete logarithms and factoring

Reference 24

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Generalized tensor transforms and their applications in classical and quantum computing Rapid solution of problems by quantum computation

Reference 25

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Generalized tensor transforms and their applications in classical and quantum computing On the power of quantum computation

Reference 26

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Generalized tensor transforms and their applications in classical and quantum computing Quantum amplitude amplification and estimation, 2002

Reference 27

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This paper cites Amplitude estimation without phase estimation.Quantum Information Processing, 19(2):1– 17, 2020.

Generalized tensor transforms and their applications in classical and quantum computing Amplitude estimation without phase estimation.Quantum Information Processing, 19(2):1– 17, 2020

Reference 28

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This paper cites Efficient quantum algorithm for weighted partial sums and numer- ical integration.

Generalized tensor transforms and their applications in classical and quantum computing Efficient quantum algorithm for weighted partial sums and numer- ical integration

Reference 29

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Generalized tensor transforms and their applications in classical and quantum computing Quantum algorithm for linear systems of equa- tions

Reference 30

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Generalized tensor transforms and their applications in classical and quantum computing A closed set of normal orthogonal functions

Reference 31

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Generalized tensor transforms and their applications in classical and quantum computing Walsh transforms

Reference 32

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Generalized tensor transforms and their applications in classical and quantum computing Walsh functions and the solution of nonlinear differential equations

Reference 33

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Generalized tensor transforms and their applications in classical and quantum computing Geadah and MJG Corinthios

Reference 34

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Observation 4d491574-99d0-477c-96a1-99f5ac4e15e5 · outbound

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Generalized tensor transforms and their applications in classical and quantum computing On sequency-complete and sequency-ordered matrices

Reference 35

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Generalized tensor transforms and their applications in classical and quantum computing A quantum algorithm for counting zero-crossings

Reference 36

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Observation 8cdb14a5-3382-4144-acb5-9c6f11f3ae61 · outbound

This paper cites Quantum compression of tensor network states.

Generalized tensor transforms and their applications in classical and quantum computing Quantum compression of tensor network states

Reference 37

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Observation 1276aa30-03d8-4785-8e2d-aa7e1dff61be · outbound

This paper cites Quantum data compression of a qubit ensemble.

Generalized tensor transforms and their applications in classical and quantum computing Quantum data compression of a qubit ensemble

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:39.676781Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 49af41c0-37b7-4f36-bb04-25c9dbd79065 · outbound

This paper cites Quantum state compression shadow.

Generalized tensor transforms and their applications in classical and quantum computing Quantum state compression shadow

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:39.499219Z

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Observation c1cc4c4a-db23-4e46-873f-c7a74cf14775 · outbound

This paper cites Compression of entanglement im- proves quantum communication.

Generalized tensor transforms and their applications in classical and quantum computing Compression of entanglement im- proves quantum communication

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:39.315289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:37.848695Z digest=sha256:927185d822c598604e812bc28498e6a5b29d22de0d06a370922b78c865cf876e

Observation c6a6d092-3dc5-4ecc-a2b0-9ec1f38847ef · outbound

This paper cites Quantum state transfer via noisy photonic and phononic waveguides.

Generalized tensor transforms and their applications in classical and quantum computing Quantum state transfer via noisy photonic and phononic waveguides

Reference 41

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verified fuzzy
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:37.946460Z digest=sha256:3493db9bbd261112c1c13638e9b801d17a99c1439a7999cf58e618af02b5b862

Observation bbd7d3e0-f9e8-46e4-81a0-f5e2dd23056c · outbound

This paper cites Effect of data encoding on the expressive power of variational quantum-machine-learning models.

Generalized tensor transforms and their applications in classical and quantum computing Effect of data encoding on the expressive power of variational quantum-machine-learning models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:38.977838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:38.022693Z digest=sha256:6a6b00ebfc1f5ce2ae27ffffeb075d92d39146815da186670c880c1d41978b37

Observation ae96837a-d0ea-4d25-9852-2d0c09446f5b · outbound

This paper cites Exponential data encoding for quantum super- vised learning.

Generalized tensor transforms and their applications in classical and quantum computing Exponential data encoding for quantum super- vised learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:38.825412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:38.102763Z digest=sha256:5ee8a58a92fc714dab6403a63cbc6acb76e1dcca00cb14ec9c08a42fbc3994ec

Observation 2df18a7a-1ede-4772-a806-fd7693a10d9d · outbound

This paper cites Efficient quantum amplitude encoding of polynomial functions.

Generalized tensor transforms and their applications in classical and quantum computing Efficient quantum amplitude encoding of polynomial functions

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:38.679876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:38.196366Z digest=sha256:1334588f1871cdd1bd983135a6464ff82718a58cb9a36745b8a02081439d507e

Observation 09c0e77b-d6d8-488f-8761-93d360f4e166 · outbound

This paper cites Digital signal processing: principles, algorithms, and applications, 4/E.

Generalized tensor transforms and their applications in classical and quantum computing Digital signal processing: principles, algorithms, and applications, 4/E

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:37:38.272549Z digest=sha256:7fb81a5874214ada0c82170260c865157cc66a0dba0470223e96136cfc1f9044

Observation 4e17fa5d-5d38-4a78-99cc-f138cc5f0f3c · outbound

This paper cites Multi-Controlled Quantum Gates in Linear Nearest Neighbor.

Generalized tensor transforms and their applications in classical and quantum computing Multi-Controlled Quantum Gates in Linear Nearest Neighbor

Reference 46

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source=pdf_text observed=2026-08-06T20:37:38.336615Z digest=sha256:b90693ec15bded3b79f303db7a7cf62705f426c02abe8291583727fe1f06fad9

Pith citing papers

Observation d5ba4b80-8b24-44e5-b652-76d08cf308d8 · inbound

Quantum algorithm for edge detection in digital grayscale images cites this paper.

Quantum algorithm for edge detection in digital grayscale images Generalized tensor transforms and their applications in classical and quantum computing

Reference 20

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verified exact
local_arxiv, observed 2026-08-06T19:08:37.550379Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:08:36.017177Z digest=sha256:84bb6b2997b13f1cc07cde50ff3cf54e143902907860fb68daa1bc33d6ecd744