Paper Citation Record · LEDGER

Fast Trainable Multilinear Bases for Image Compression

As of 14 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2608.00053.

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pith.paper-citation-record.v1
2608.00053 v1

Coverage vector

measured 52 of 52 reference resolution

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

52 of 52 outbound references displayed

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Outbound references

Observation 1faaf884-becc-4460-84e2-e9985b616e90 · outbound

This paper cites an unresolved cited work.

Fast Trainable Multilinear Bases for Image Compression Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:02.895182Z

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Observation 166e2683-f36b-48b9-8ae2-9f36da42ae9c · outbound

This paper cites Sullivan, Jens-Rainer Ohm, Woo-Jin Han, and Thomas Wiegand.

Fast Trainable Multilinear Bases for Image Compression Sullivan, Jens-Rainer Ohm, Woo-Jin Han, and Thomas Wiegand

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.008782Z

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Observation 919af155-33b4-40e8-89ff-b349d66cbb65 · outbound

This paper cites an unresolved cited work.

Fast Trainable Multilinear Bases for Image Compression Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.077222Z

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Observation 43a03138-c385-42b4-830f-8423af5a8dfd · outbound

This paper cites Academic Press, 3rd edition, 2008.

Fast Trainable Multilinear Bases for Image Compression Academic Press, 3rd edition, 2008

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.185847Z

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Observation 03e917d6-6963-4315-87c0-3aebae2c9111 · outbound

This paper cites Discrete cosine transform.IEEE Trans- actions on Computers, C-23(1):90–93, 1974.

Fast Trainable Multilinear Bases for Image Compression Discrete cosine transform.IEEE Trans- actions on Computers, C-23(1):90–93, 1974

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.306253Z

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Observation 04c1ade3-7e37-4820-9a08-c217f1e7b575 · outbound

This paper cites An al- gorithm for the machine calculation of complex Fourier series.Mathematics of Computation, 19(90):297–301, 1965.

Fast Trainable Multilinear Bases for Image Compression An al- gorithm for the machine calculation of complex Fourier series.Mathematics of Computation, 19(90):297–301, 1965

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.464947Z

Source-reported events for the cited work

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Observation 8c6a10fe-8d09-4406-a554-c57a2c239aba · outbound

This paper cites A sinusoidal family of unitary trans- forms.IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(4):356–365, 1979.

Fast Trainable Multilinear Bases for Image Compression A sinusoidal family of unitary trans- forms.IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(4):356–365, 1979

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.549001Z

Source-reported events for the cited work

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Observation 89d95b3e-b7ce-4c58-ac18-f4e9afa386f0 · outbound

This paper cites Lossy image compres- sion with compressive autoencoders.

Fast Trainable Multilinear Bases for Image Compression Lossy image compres- sion with compressive autoencoders

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.638043Z

Source-reported events for the cited work

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Observation 9d2512ab-66de-488d-a220-657a26451955 · outbound

This paper cites Si- moncelli.

Fast Trainable Multilinear Bases for Image Compression Si- moncelli

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.757798Z

Source-reported events for the cited work

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Observation 4973a255-18cc-49be-8fc4-4ccc6f589045 · outbound

This paper cites An approximate Fourier transform useful in quantum factoring.

Fast Trainable Multilinear Bases for Image Compression An approximate Fourier transform useful in quantum factoring

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:03.968710Z

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Observation 79df75b2-ffe7-4aea-b371-a29f680fff9a · outbound

This paper cites Simulating quantum computation by contracting tensor net- works.SIAM Journal on Computing, 38(3):963– 981, 2008.

Fast Trainable Multilinear Bases for Image Compression Simulating quantum computation by contracting tensor net- works.SIAM Journal on Computing, 38(3):963– 981, 2008

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.037459Z

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Observation 9bc874db-3f86-4b6d-9525-e1da4cf5d906 · outbound

This paper cites Tensor-train decomposi- tion.SIAM Journal on Scientific Computing, 33(5):2295–2317, 2011.

Fast Trainable Multilinear Bases for Image Compression Tensor-train decomposi- tion.SIAM Journal on Scientific Computing, 33(5):2295–2317, 2011

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.116633Z

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Observation 779dc625-837e-4d84-91ed-ec3005613e1c · outbound

This paper cites Su- pervised learning with tensor networks.

Fast Trainable Multilinear Bases for Image Compression Su- pervised learning with tensor networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.201556Z

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Observation 3602adfa-5528-4dec-bfb0-70adcd9915bb · outbound

This paper cites Unsupervised generative model- ing using matrix product states.Physical Review X, 8(3):031012, 2018.

Fast Trainable Multilinear Bases for Image Compression Unsupervised generative model- ing using matrix product states.Physical Review X, 8(3):031012, 2018

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.311560Z

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Observation 2ab159a3-f105-491e-9736-305dfb953c1f · outbound

This paper cites The theory of variational hybrid quantum-classical algorithms.

Fast Trainable Multilinear Bases for Image Compression The theory of variational hybrid quantum-classical algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.415845Z

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Observation 83cd59ca-f5df-4372-b347-e86e61322626 · outbound

This paper cites Vari- ational quantum algorithms.Nature Reviews Physics, 3(9):625–644, 2021.

Fast Trainable Multilinear Bases for Image Compression Vari- ational quantum algorithms.Nature Reviews Physics, 3(9):625–644, 2021

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.514587Z

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Observation 092b0bad-090d-41e3-99fa-54c38536064e · outbound

This paper cites Quantum machine learning in feature Hilbert spaces.Phys- ical Review Letters, 122(4):040504, 2019.

Fast Trainable Multilinear Bases for Image Compression Quantum machine learning in feature Hilbert spaces.Phys- ical Review Letters, 122(4):040504, 2019

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.580556Z

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Observation a65f7455-0b1f-469f-882b-1b425d229ef8 · outbound

This paper cites Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, 2019.

Fast Trainable Multilinear Bases for Image Compression Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, 2019

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.649840Z

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Observation 6db21aad-1521-4c2a-9da7-325eb1d28cc4 · outbound

This paper cites Hillar and Lek-Heng Lim.

Fast Trainable Multilinear Bases for Image Compression Hillar and Lek-Heng Lim

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.744573Z

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Observation 46071ea4-5eb5-44c0-ac36-fde66d7d3141 · outbound

This paper cites Training vari- ational quantum algorithms is NP-hard.Physical Review Letters, 127:120502, 2021.

Fast Trainable Multilinear Bases for Image Compression Training vari- ational quantum algorithms is NP-hard.Physical Review Letters, 127:120502, 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.837947Z

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Observation 37af6e41-d03f-43e5-a5d1-b0bdda9bdee3 · outbound

This paper cites Rie- mannian adaptive optimization methods.

Fast Trainable Multilinear Bases for Image Compression Rie- mannian adaptive optimization methods

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:04.978674Z

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Observation 89b91d17-3a52-4550-83f7-298cbb2b70da · outbound

This paper cites Riemannian optimization of isomet- ric tensor networks.SciPost Physics, 10(2):040, 2021.

Fast Trainable Multilinear Bases for Image Compression Riemannian optimization of isomet- ric tensor networks.SciPost Physics, 10(2):040, 2021

Reference 22

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Observation 83f2ffbf-1a0a-4265-b9c6-8e07648cdb64 · outbound

This paper cites NTIRE 2017 challenge on single image super-resolution: Dataset and study.

Fast Trainable Multilinear Bases for Image Compression NTIRE 2017 challenge on single image super-resolution: Dataset and study

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.154390Z

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Observation cc2156ee-b820-45ac-9fa6-6889d7b66c70 · outbound

This paper cites Quick, draw! dataset.https:// quickdraw.withgoogle.com/data, 2017.

Fast Trainable Multilinear Bases for Image Compression Quick, draw! dataset.https:// quickdraw.withgoogle.com/data, 2017

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.230409Z

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Observation 3083532f-ba58-4214-a72b-a28a5c6a9984 · outbound

This paper cites A neural representa- tion of sketch drawings.

Fast Trainable Multilinear Bases for Image Compression A neural representa- tion of sketch drawings

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.314900Z

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Observation cfc4012d-eea5-4023-b018-a6ad0feb9740 · outbound

This paper cites Arias, and Steven T.

Fast Trainable Multilinear Bases for Image Compression Arias, and Steven T

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.411853Z

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Observation 0b4f2ccf-a128-4b47-b2d3-db3abd001224 · outbound

This paper cites Princeton University Press, 2008.

Fast Trainable Multilinear Bases for Image Compression Princeton University Press, 2008

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.527892Z

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Observation 5c9eb376-3c1d-4cd1-a30f-e776eed1c798 · outbound

This paper cites Efficient simulation of one- dimensional quantum many-body systems.Phys- ical Review Letters, 93(4):040502, 2004.

Fast Trainable Multilinear Bases for Image Compression Efficient simulation of one- dimensional quantum many-body systems.Phys- ical Review Letters, 93(4):040502, 2004

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.616827Z

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Observation 65d56de8-372a-4968-b9dd-1e96097d91d0 · outbound

This paper cites Entanglement renormalization.

Fast Trainable Multilinear Bases for Image Compression Entanglement renormalization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.725287Z

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Observation cc394f31-3397-4db6-abb3-6daa2d544e91 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Fast Trainable Multilinear Bases for Image Compression Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:05.886025Z

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Observation 8c05fedb-b3d3-43eb-ab9c-002406602613 · outbound

This paper cites Categor- ical reparameterization with Gumbel-Softmax.

Fast Trainable Multilinear Bases for Image Compression Categor- ical reparameterization with Gumbel-Softmax

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:06.011271Z

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Observation b4b20b32-720e-4e4d-9344-2e785f2fce14 · outbound

This paper cites Reparam- eterizable subset sampling via continuous relax- ations.

Fast Trainable Multilinear Bases for Image Compression Reparam- eterizable subset sampling via continuous relax- ations

Reference 32

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Observation 5e042915-cea6-4e23-bf3e-a67e3d9a330c · outbound

This paper cites A feasible method for optimization with orthogonality constraints.

Fast Trainable Multilinear Bases for Image Compression A feasible method for optimization with orthogonality constraints

Reference 33

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Observation 1468162b-252f-46fd-bb44-040b9324a23b · outbound

This paper cites Cambridge University Press, 2023.

Fast Trainable Multilinear Bases for Image Compression Cambridge University Press, 2023

Reference 34

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Observation 95c984dd-2f3e-4399-ab0e-bc6d5c503540 · outbound

This paper cites Kingma and Jimmy Ba.

Fast Trainable Multilinear Bases for Image Compression Kingma and Jimmy Ba

Reference 35

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Observation 4194eeeb-4300-40d8-b432-ee65b8f0c874 · outbound

This paper cites Riemannian adaptive stochastic gradient algorithms on matrix manifolds.

Fast Trainable Multilinear Bases for Image Compression Riemannian adaptive stochastic gradient algorithms on matrix manifolds

Reference 36

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Observation da3407bb-bcba-4092-8e80-bddffe733664 · outbound

This paper cites McClean, Sergio Boixo, Vadim N.

Fast Trainable Multilinear Bases for Image Compression McClean, Sergio Boixo, Vadim N

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Observation 83077ced-28b9-48e4-a7be-dd40430fa8de · outbound

This paper cites Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, and Patrick J.

Fast Trainable Multilinear Bases for Image Compression Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, and Patrick J

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:06.683647Z

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Observation 2466e106-a9b0-43a7-85c1-5ae5d4ee3c7b · outbound

This paper cites Yip, and K.

Fast Trainable Multilinear Bases for Image Compression Yip, and K

Reference 39

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Observation 5eb715ea-078f-4c27-b47f-6c9421947652 · outbound

This paper cites Tropical tensor network for ground states of spin glasses.

Fast Trainable Multilinear Bases for Image Compression Tropical tensor network for ground states of spin glasses

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:06.876189Z

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Observation 0e639bfc-4398-474a-b651-86e7d3b122f2 · outbound

This paper cites Computing solu- tion space properties of combinatorial optimiza- tion problems via generic tensor networks.SIAM Journal on Scientific Computing, 45(3):A1239– A1270, 2023.

Fast Trainable Multilinear Bases for Image Compression Computing solu- tion space properties of combinatorial optimiza- tion problems via generic tensor networks.SIAM Journal on Scientific Computing, 45(3):A1239– A1270, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:06.996772Z

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Observation 06e511e0-a31f-486b-8423-366e74d20031 · outbound

This paper cites Fast and numerically stable algorithms for discrete cosine transforms.Linear Algebra and its Applications, 394:309–345, 2005.

Fast Trainable Multilinear Bases for Image Compression Fast and numerically stable algorithms for discrete cosine transforms.Linear Algebra and its Applications, 394:309–345, 2005

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.088415Z

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Observation d9654847-3eed-4480-ae6d-5acf3753bc9b · outbound

This paper cites an unresolved cited work.

Fast Trainable Multilinear Bases for Image Compression Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.259617Z

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Observation a82d94ef-5a42-4b11-8e4d-1c21f66d6e5e · outbound

This paper cites Harrison Smith, and S.

Fast Trainable Multilinear Bases for Image Compression Harrison Smith, and S

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.362271Z

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Observation 75370111-1d7a-4c15-a366-ad3f84916b5b · outbound

This paper cites Moschytz.

Fast Trainable Multilinear Bases for Image Compression Moschytz

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.420308Z

Source-reported events for the cited work

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Observation e00263b0-171a-4ae3-acbb-e26f58b4b7f3 · outbound

This paper cites Fast algo- rithms for the discrete cosine transform.IEEE Transactions on Signal Processing, 40(9):2174– 2193, 1992.

Fast Trainable Multilinear Bases for Image Compression Fast algo- rithms for the discrete cosine transform.IEEE Transactions on Signal Processing, 40(9):2174– 2193, 1992

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.574510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257e04d4-c717-4a54-add0-b08bb5bbec89 · outbound

This paper cites Suboptimality of the Karhunen–Lo` eve transform for transform coding.IEEE Transac- tions on Information Theory, 50(8):1605–1619, 2004.

Fast Trainable Multilinear Bases for Image Compression Suboptimality of the Karhunen–Lo` eve transform for transform coding.IEEE Transac- tions on Information Theory, 50(8):1605–1619, 2004

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.696663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19486763-dec0-448e-bf17-3f016aee6c7d · outbound

This paper cites JAX: composable transformations of Python+NumPy programs.http://github.

Fast Trainable Multilinear Bases for Image Compression JAX: composable transformations of Python+NumPy programs.http://github

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.783332Z

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Observation 0e9e83b0-52df-492e-a456-eed385a99ed8 · outbound

This paper cites Differentiable programming tensor net- works.Physical Review X, 9:031041, 2019.

Fast Trainable Multilinear Bases for Image Compression Differentiable programming tensor net- works.Physical Review X, 9:031041, 2019

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.851494Z

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Observation 5ec65ec4-61b7-4476-96c3-e537dd001915 · outbound

This paper cites Prob- abilistic inference in the era of tensor networks and differential programming.Physical Review Research, 6:033261, 2024.

Fast Trainable Multilinear Bases for Image Compression Prob- abilistic inference in the era of tensor networks and differential programming.Physical Review Research, 6:033261, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.912277Z

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Observation c776c5ff-5217-4b4e-b4cd-d4bdf56515f7 · outbound

This paper cites How to generate ran- dom matrices from the classical compact groups.

Fast Trainable Multilinear Bases for Image Compression How to generate ran- dom matrices from the classical compact groups

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:07.971426Z

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Observation e555dc15-c2d2-41fd-a635-aec9045c7a09 · outbound

This paper cites OnlyO(2)is disconnected, splitting intodet = +1 rotations anddet =−1reflections.

Fast Trainable Multilinear Bases for Image Compression OnlyO(2)is disconnected, splitting intodet = +1 rotations anddet =−1reflections

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Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:08.033115Z

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Pith citing papers

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