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Paper Citation Record · LEDGER

A Matrix Product State Representation of Boolean Functions

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2505.01930.

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

pith.paper-citation-record.v1
2505.01930 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:11:56.016787Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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  • verified fuzzy48
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 856b21ea-c7ee-4712-99f6-870fef75e1cb · outbound

This paper cites ˜M(n−1)(0) ˜M(n−1)(1) # 2p× ˜pn−1 , (28) which, together with Eqs. (26) and (27), allows us to write h Q(n−1)(xn−1) i p×pn−1 = [ S(xn−1)]p×2p.

A Matrix Product State Representation of Boolean Functions ˜M(n−1)(0) ˜M(n−1)(1) # 2p× ˜pn−1 , (28) which, together with Eqs. (26) and (27), allows us to write h Q(n−1)(xn−1) i p×pn−1 = [ S(xn−1)]p×2p

Reference 1

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Observation adf8a71a-e9df-44c3-a669-01b86ce97de4 · outbound

This paper cites an unresolved cited work.

A Matrix Product State Representation of Boolean Functions Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-16T04:11:55.729760Z digest=sha256:59d257d77726912d577a6c04c065bf5ae1acb5d5c223586ed283b44f5718c76d

Observation dad17503-4e0d-4c18-b175-d732754dbdb1 · outbound

This paper cites The canonical form for h(f,g ) is then obtained by applying the CLEAN operation to the resulting BMP of Eq.

A Matrix Product State Representation of Boolean Functions The canonical form for h(f,g ) is then obtained by applying the CLEAN operation to the resulting BMP of Eq

Reference 3

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source=pdf_text observed=2026-08-16T04:11:55.734816Z digest=sha256:b936bd48b3fd400df7b6289132c9accfa04340e89126fd2a4c1077f4cd49faa3

Observation d024e99c-1e73-4e68-b103-f7e187bfc523 · outbound

This paper cites Here we present an alternative and often more efficient method based on direct sum of the matrices in the BMP representations of f and g.

A Matrix Product State Representation of Boolean Functions Here we present an alternative and often more efficient method based on direct sum of the matrices in the BMP representations of f and g

Reference 4

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source=pdf_text observed=2026-08-16T04:11:55.739826Z digest=sha256:9e75f1ec5d3d55a9056cb029d8fed45e8aef8a4b4294d72708650074ac621b1a

Observation 8ffddc7e-fd29-4067-b370-542f4e2f8c5c · outbound

This paper cites In this formulation, a state q is a subset of the input variables Xn ={x1,x 2,...,x n}, representing all BMPs whose first|q| variables are those in q, in any order.

A Matrix Product State Representation of Boolean Functions In this formulation, a state q is a subset of the input variables Xn ={x1,x 2,...,x n}, representing all BMPs whose first|q| variables are those in q, in any order

Reference 5

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source=pdf_text observed=2026-08-16T04:11:55.745989Z digest=sha256:58899582303794ce2d45b96e74ecb81cb498d77da447d9305724970d59328b72

Observation b7246ef7-a979-449e-9f47-e21a4439ed50 · outbound

This paper cites These methods are implemented on given BMPs via the SWAP operation, which changes the order of two adjacent variables in the matrix train.

A Matrix Product State Representation of Boolean Functions These methods are implemented on given BMPs via the SWAP operation, which changes the order of two adjacent variables in the matrix train

Reference 6

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source=pdf_text observed=2026-08-16T04:11:55.750943Z digest=sha256:a13e865ba943af3d5276b7e11fd75e6fa7c3025dbf0e8251dd16bb274eb89808

Observation d0a98ead-b59e-46c6-83ea-2b0f51e53419 · outbound

This paper cites killer application.

A Matrix Product State Representation of Boolean Functions killer application

Reference 7

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source=pdf_text observed=2026-08-16T04:11:55.756092Z digest=sha256:65dbc20975a2bcba65f320dc220e1f8fa430ac381825534aa3641c98a9acde75

Observation 780a6c5c-3712-46ad-b807-770fb090582d · outbound

This paper cites (91) Furthermore, we can perform various matrix operations using m without needing to construct M explicitly.

A Matrix Product State Representation of Boolean Functions (91) Furthermore, we can perform various matrix operations using m without needing to construct M explicitly

Reference 8

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source=pdf_text observed=2026-08-16T04:11:55.760694Z digest=sha256:64bdd71cb94e62efbd778ebf611617d6b3022bd8f51487eb2f8990ca430bb28a

Observation 14c2e9a9-ba6b-4d3b-851e-a607ee5c886e · outbound

This paper cites Allmann-Rahn, R.

A Matrix Product State Representation of Boolean Functions Allmann-Rahn, R

Reference 9

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source=pdf_text observed=2026-08-16T04:11:55.765645Z digest=sha256:6224a9b0e37dffe661a6991119642915f6300577bb5b6324f81e2065b1c550e0

Observation 7bf884cc-6619-4ab7-9e34-51efb21e0100 · outbound

This paper cites Quantum supremacy using a programmable superconducting processor.

A Matrix Product State Representation of Boolean Functions Quantum supremacy using a programmable superconducting processor

Reference 10

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source=pdf_text observed=2026-08-16T04:11:55.770455Z digest=sha256:98475d67713ac16569818c29b9d7b5448e8f450467fd03c026629587c3c3ccb9

Observation 2fe0552b-e836-4b4d-9e6e-7b83424bd3cd · outbound

This paper cites Bollig and I.

A Matrix Product State Representation of Boolean Functions Bollig and I

Reference 11

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source=pdf_text observed=2026-08-16T04:11:55.775695Z digest=sha256:057f3100103d5380c2d5f104b9017bf2f12ac63df79b84f5093d90067b9bb16f

Observation 103cab2a-b1fd-4d11-8b0c-f00396aba0f5 · outbound

This paper cites Multigrid methods combined with low-rank approximation for tensor-structured Markov chains.

A Matrix Product State Representation of Boolean Functions Multigrid methods combined with low-rank approximation for tensor-structured Markov chains

Reference 12

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source=pdf_text observed=2026-08-16T04:11:55.780387Z digest=sha256:22d6cf352408c7229d5d47f64613f0d011d485bf990de1276df6a0a68dec0f52

Observation 5a9f1269-dee7-4dee-865f-5a5707290f4f · outbound

This paper cites an unresolved cited work.

A Matrix Product State Representation of Boolean Functions Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-16T04:11:55.785065Z digest=sha256:393226a88e78608d03d7bae88cdd2edc8902e1fa600507c92eeb2b80b2b5e1fb

Observation 0bd87aee-0c52-4f98-b343-c8c6b2cc9cf7 · outbound

This paper cites Mucciolo, and Andrei E.

A Matrix Product State Representation of Boolean Functions Mucciolo, and Andrei E

Reference 14

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source=pdf_text observed=2026-08-16T04:11:55.789735Z digest=sha256:551efc28a6f82a5b0bcdb190f765869b75b6336203441c6c14efd641e6b8b7ed

Observation 4c3217c9-d6ab-4971-a6ba-4ceafeaf6783 · outbound

This paper cites an unresolved cited work.

A Matrix Product State Representation of Boolean Functions Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-16T04:11:55.795593Z digest=sha256:06773f9b2c0a6422e08566c5dc0a7e1063258d408ffef9ae37379d52c5780d6a

Observation f26f0273-d352-44f2-8a80-f69343ca0633 · outbound

This paper cites Practical quantum advantage in quantum simulation.

A Matrix Product State Representation of Boolean Functions Practical quantum advantage in quantum simulation

Reference 16

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source=pdf_text observed=2026-08-16T04:11:55.800126Z digest=sha256:33f82c9410a7cd8b4d2426e63dab8d54b8e60697c5aab58a2f11f5ae4a91fdfb

Observation a17891e7-43f1-4f6c-a921-832db7bfe6e1 · outbound

This paper cites Dolgov, B.N.

A Matrix Product State Representation of Boolean Functions Dolgov, B.N

Reference 17

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source=pdf_text observed=2026-08-16T04:11:55.804586Z digest=sha256:103b1b3219e225e535ecca1169aa95cd109f39c59404213c14c5552929fe8d52

Observation a00298b2-6da9-48d9-acc6-6a9ca37fe109 · outbound

This paper cites Ebendt, W.

A Matrix Product State Representation of Boolean Functions Ebendt, W

Reference 18

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source=pdf_text observed=2026-08-16T04:11:55.809082Z digest=sha256:f2e8dad0903693f5b05e5ff9e54cc5e3b37b646eaa2d7d180b9b80eeb2224ca3

Observation fb015743-9d7e-463a-90e8-ae228f60079e · outbound

This paper cites A low-rank projector-splitting integrator for the Vlasov–Poisson equation.

A Matrix Product State Representation of Boolean Functions A low-rank projector-splitting integrator for the Vlasov–Poisson equation

Reference 19

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source=pdf_text observed=2026-08-16T04:11:55.814557Z digest=sha256:3350d2fc0bf46dc797cea900590de28dd7187ac4ba8710b099dc36b018efb064

Observation 8e9ed388-abba-4f5a-b543-a58c025c2297 · outbound

This paper cites an unresolved cited work.

A Matrix Product State Representation of Boolean Functions Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-16T04:11:55.819807Z digest=sha256:bd2fc89cff6b7e0a5def61a9ff7b39dec3f5380e610a6607abdf94ea14afcd9a

Observation f7578d74-2449-40d7-a1ff-3d4dab5558be · outbound

This paper cites Ritter, Matthieu Jeannin, Jheng-Wei Li, Thomas Kloss, Thibaud Louvet, Satoshi Terasaki, Olivier Parcollet, Jan von Delft, Hiroshi Shinaoka, and Xavier Waintal.

A Matrix Product State Representation of Boolean Functions Ritter, Matthieu Jeannin, Jheng-Wei Li, Thomas Kloss, Thibaud Louvet, Satoshi Terasaki, Olivier Parcollet, Jan von Delft, Hiroshi Shinaoka, and Xavier Waintal

Reference 21

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source=pdf_text observed=2026-08-16T04:11:55.824825Z digest=sha256:5b03d88ffbf540771a74481f4f46d29e24997d6f1ffe1294cfe462fc600e5894

Observation 7b8050c7-7a5c-459f-9c39-d237a967f887 · outbound

This paper cites Conservative logic.

A Matrix Product State Representation of Boolean Functions Conservative logic

Reference 22

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source=pdf_text observed=2026-08-16T04:11:55.829629Z digest=sha256:ead45102560013d495461b86281a0672ce435d3c9a185604f0095db441093c16

Observation dc78bd21-1577-47d5-88c3-d2a95a1469e0 · outbound

This paper cites Hart, Nils J.

A Matrix Product State Representation of Boolean Functions Hart, Nils J

Reference 23

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source=pdf_text observed=2026-08-16T04:11:55.833875Z digest=sha256:a376762f6427b52936858fb85e1372be4d65d1dfa8a639ddaf1b059f28aab4e1

Observation 9b2900b2-7f0d-412e-9aa1-b0a231411f03 · outbound

This paper cites Efficient Implementation of Quantum Circuit Simulation with Decision Diagrams.

A Matrix Product State Representation of Boolean Functions Efficient Implementation of Quantum Circuit Simulation with Decision Diagrams

Reference 24

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source=pdf_text observed=2026-08-16T04:11:55.838507Z digest=sha256:a6e98886a109cda8db3bd0abdef5a1470944b87d8aa4443f10669d917232ac7f

Observation 8bc25053-01ef-4b5d-9bc6-953edd8b99a4 · outbound

This paper cites A Tensor Network based Decision Diagram for Representation of Quantum Circuits.

A Matrix Product State Representation of Boolean Functions A Tensor Network based Decision Diagram for Representation of Quantum Circuits

Reference 25

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source=pdf_text observed=2026-08-16T04:11:55.845384Z digest=sha256:44d4c444b93e51f299b8847df0703dd2fa68564acd036bc56c616de7d2e0545e

Observation 57a9891f-0ce5-4bb8-9471-4746a9aa3dab · outbound

This paper cites Tensor numerical methods for multidimensional PDES: theoretical analysis and initial applications.

A Matrix Product State Representation of Boolean Functions Tensor numerical methods for multidimensional PDES: theoretical analysis and initial applications

Reference 26

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source=pdf_text observed=2026-08-16T04:11:55.851245Z digest=sha256:2869d3aa12eb308b90394a3dff5c7e665b299b56e7082f0965696c38ffc28112

Observation b771fdea-c257-43d3-b407-102eb3ae85e8 · outbound

This paper cites Oseledets.

A Matrix Product State Representation of Boolean Functions Oseledets

Reference 27

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.855933Z digest=sha256:378c66efb5ea1c1be4ea03259be4046ad03334c088dd0e8e0949cb964ce90fe2

Observation d719ea09-5722-4ce7-aab6-d18c8cc96bc4 · outbound

This paper cites Tensor network reduced order models for wall-bounded flows.

A Matrix Product State Representation of Boolean Functions Tensor network reduced order models for wall-bounded flows

Reference 28

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source=pdf_text observed=2026-08-16T04:11:55.861337Z digest=sha256:2e2357193e1d5ccf4e3590a530f0af64da1fbeff417bfc535b6276c00aef9e53

Observation d0c4d332-e216-4b4e-b7c1-75fd5b8d9adb · outbound

This paper cites King, Alberto Nocera, Marek M.

A Matrix Product State Representation of Boolean Functions King, Alberto Nocera, Marek M

Reference 29

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.866677Z digest=sha256:00d6f946a11b1f08d98312c44f13a10e1cf2ee0e261f7a656decd08c8731a8f7

Observation 80b8fdab-08c6-4722-a111-dbdb1701f449 · outbound

This paper cites Fun With Binary Decision Diagrams (BDDs).

A Matrix Product State Representation of Boolean Functions Fun With Binary Decision Diagrams (BDDs)

Reference 30

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.871918Z digest=sha256:275a3d0cf874eb3470090c5c36447bb8f01d71813e2670c1ad8592a7d592d2c0

Observation 6fc1e3ef-e9ba-489a-a90c-e41b54eb40ef · outbound

This paper cites A semi-lagrangian Vlasov solver in tensor train format.

A Matrix Product State Representation of Boolean Functions A semi-lagrangian Vlasov solver in tensor train format

Reference 31

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.876829Z digest=sha256:1d664690096b4704358e9ab3ceda572f349807186448f454ca5217f6457e7861

Observation a7ea3c94-ea73-4ec4-a682-3385c922d17d · outbound

This paper cites Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired tensor train finite element method, 2023.

A Matrix Product State Representation of Boolean Functions Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired tensor train finite element method, 2023

Reference 32

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.881268Z digest=sha256:c988c30877c181128caf7246f30266decd84a5044f2bf2b72c09449db02a57e9

Observation fd4db5e2-fa79-46b2-a37a-249739173867 · outbound

This paper cites Multigrid renormalization.

A Matrix Product State Representation of Boolean Functions Multigrid renormalization

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.885959Z digest=sha256:e00b6b6503eb0b7845e8aa320fbb9447ad9a36f60c493cd8ba8446e716d56a8d

Observation c130ff63-6caa-47b4-b1f5-a6744cda4936 · outbound

This paper cites Oseledets, and Bart Vandereycken.

A Matrix Product State Representation of Boolean Functions Oseledets, and Bart Vandereycken

Reference 34

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raw_fallback, observed 2026-08-16T04:11:56.580859Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.890793Z digest=sha256:13728709ad4a914f253c5b23f915db2a6a2452f0da2ba96124a75571ca395a6f

Observation 17e389f5-bd2e-46ab-a643-522d46022588 · outbound

This paper cites Michael Miller and Mitchell A.

A Matrix Product State Representation of Boolean Functions Michael Miller and Mitchell A

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.563181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.895253Z digest=sha256:44fbaff23d18a898af14ef4c43c026f63b9a4b2f089db29c3c3357f5760e2d77

Observation 87c7be82-3784-40a7-bdbc-92a05053f720 · outbound

This paper cites Michael Miller, Mitchell A.

A Matrix Product State Representation of Boolean Functions Michael Miller, Mitchell A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.545754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.899708Z digest=sha256:e74e601132177badb36aaac4afec32afb6ce57c52f75a540f8772735b1a9771e

Observation 312d40bf-142a-423c-bfb0-b3b63bd85d2f · outbound

This paper cites Novikov, M.

A Matrix Product State Representation of Boolean Functions Novikov, M

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.530207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.905365Z digest=sha256:d56c5f962d92dc8293bb9a17d86be9e008a51c40dec97bc9e2d390f41c54577e

Observation ca548561-aea9-4a62-a2b5-ecbbd01f9d6a · outbound

This paper cites Novikov, Maxim E.

A Matrix Product State Representation of Boolean Functions Novikov, Maxim E

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.513171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.909976Z digest=sha256:28ee050f14666598b9f3a092a676a71cb6bb3afd59c7b0e2134c9302ac61cc4b

Observation e206b9e9-927a-46a5-8929-1688bc7b575a · outbound

This paper cites Breadth-first manipulation of SBDD of boolean functions for vector processing.

A Matrix Product State Representation of Boolean Functions Breadth-first manipulation of SBDD of boolean functions for vector processing

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.497960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.914505Z digest=sha256:8b9ad3a0b117ebfc864bb5379088a179acb8532ec74bed1952f04c2b00c5b83c

Observation 679b5367-73ee-445a-841c-9edf5b6a8991 · outbound

This paper cites Breadth-first manipulation of very large binary-decision diagrams.

A Matrix Product State Representation of Boolean Functions Breadth-first manipulation of very large binary-decision diagrams

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.481325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.918865Z digest=sha256:1f84537a663615cf0900076688312ddb20b759a1eda4ca82acc5013748e993c2

Observation 764f429e-1bb1-4c4c-b51c-73aedfcc46a0 · outbound

This paper cites A practical introduction to tensor networks: Matrix product states and projected entangled pair states.

A Matrix Product State Representation of Boolean Functions A practical introduction to tensor networks: Matrix product states and projected entangled pair states

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T04:11:55.923380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:11:55.923380Z digest=sha256:d0ca320f804670f347966dec14a72adab9bb725b9e0e8dbc312148369d5ff2b4

Observation affd9536-e7f7-4536-bfb6-6a9406561612 · outbound

This paper cites Tensor networks for complex quantum systems.Nat.

A Matrix Product State Representation of Boolean Functions Tensor networks for complex quantum systems.Nat

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.456441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.927907Z digest=sha256:497f98c533630e2c8f2d315facf38fdc90a5f9c8d96b1fd249cc86c3b87f293d

Observation 2c16281a-265a-44e0-9568-740f9c010c89 · outbound

This paper cites an unresolved cited work.

A Matrix Product State Representation of Boolean Functions Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T04:11:55.932676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:11:55.932676Z digest=sha256:246f157f769ab87911f64b111d0e31abd8e83c89db84f61a8393c4ae612c7689

Observation 80528dec-765f-4e7a-bbc1-f3a85aa9cb52 · outbound

This paper cites Peddinti, Stefano Pisoni, Alessandro Marini, Philippe Lott, Henrique Argentieri, Egor Tiunov, and Leandro Aolita.

A Matrix Product State Representation of Boolean Functions Peddinti, Stefano Pisoni, Alessandro Marini, Philippe Lott, Henrique Argentieri, Egor Tiunov, and Leandro Aolita

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.431445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.937578Z digest=sha256:f63e6102954adfa7b3d0d6e0e9b6a7d6f95d41d6d1672ea9d21fd12013b704f9

Observation 750b499c-639e-4698-9458-08687ac32d6a · outbound

This paper cites Perez-Garcia, F.

A Matrix Product State Representation of Boolean Functions Perez-Garcia, F

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.415375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.943123Z digest=sha256:48ba55fa9f93a431c0519a5d7379ac82aec9f95f349445af3dfa58929531d19d

Observation d807224b-2610-4f2e-b633-d73c7e8589ba · outbound

This paper cites Ritter, Yuriel N´ u˜ nez Fern´ andez, Markus Wallerberger, Jan von Delft, Hiroshi Shinaoka, and Xavier Waintal.

A Matrix Product State Representation of Boolean Functions Ritter, Yuriel N´ u˜ nez Fern´ andez, Markus Wallerberger, Jan von Delft, Hiroshi Shinaoka, and Xavier Waintal

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.397173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.947921Z digest=sha256:d61412c635a95c89ddf9cd6ee289af7ebf2c8eaaec1ff32a705e9f91c823400c

Observation 69b42d10-aa25-4ba3-aa8f-ec9ac276385a · outbound

This paper cites an unresolved cited work.

A Matrix Product State Representation of Boolean Functions Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:11:56.380465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.952745Z digest=sha256:6115d203dd79edb53aa7c6294e47158115d11d01cf0c6e2599a63608bf980c77

Observation 74a63226-0071-4fc2-8068-8b124053f452 · outbound

This paper cites Tensor networks in machine learning, 2022.

A Matrix Product State Representation of Boolean Functions Tensor networks in machine learning, 2022

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.363984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.957589Z digest=sha256:cacd86eb1488a3cdb1149c0a16ac9db90dc07bade70a1a98f4e2991c1d315180

Observation 9dc4365e-303e-4e63-877b-bd287b19a61b · outbound

This paper cites CUDD: CU decision diagram package release 2.3.0.

A Matrix Product State Representation of Boolean Functions CUDD: CU decision diagram package release 2.3.0

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.348638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.962590Z digest=sha256:9e058b94357d957c6552d4b534ad76f0a2d9b0b3f033fc149ae28a21b56b0595

Observation b8b613f5-34c9-4f84-a538-9cd1a1b5ea01 · outbound

This paper cites TTOpt: A maximum volume quantized tensor train-based optimization and its application to reinforcement learning.

A Matrix Product State Representation of Boolean Functions TTOpt: A maximum volume quantized tensor train-based optimization and its application to reinforcement learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.332630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.967246Z digest=sha256:0fb11bb0a3db5931d76f9238aba9cfaadec2639368fc470c4741710349ce589c

Observation acc6dcac-8eea-48cb-967e-f099175b9f7d · outbound

This paper cites Supervised learning with tensor networks.

A Matrix Product State Representation of Boolean Functions Supervised learning with tensor networks

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T04:11:55.971918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:11:55.971918Z digest=sha256:c9b57211261aaff44175fcc822f16bd5742de5903b9103af5fe8de1c330e5033

Observation e183e5a3-ef63-431e-ad37-18a284da9a37 · outbound

This paper cites Convolutional tensor-train LSTM for spatio-temporal learning.

A Matrix Product State Representation of Boolean Functions Convolutional tensor-train LSTM for spatio-temporal learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.305094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.976608Z digest=sha256:d7dc80e666932e0648b61bcfe45f1d2b5d98fd3ec77a72cae707c9e5a35183ec

Observation ec987f63-f98b-4a40-b5fa-abd502369241 · outbound

This paper cites Digital Circuits and Microprocessors.

A Matrix Product State Representation of Boolean Functions Digital Circuits and Microprocessors

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.289864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.981802Z digest=sha256:0e0ac8c03995a7a70a176bc73c2d965f29dd9081bc0b2e151aa2ca9278da8071

Observation b424e4a5-190c-4390-be43-ab7c614b0c58 · outbound

This paper cites Tensor train approximation of multivariate functions.

A Matrix Product State Representation of Boolean Functions Tensor train approximation of multivariate functions

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.274849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.986680Z digest=sha256:1bf527e74d8292a3cf09a7d0020ad30e76f290e851656c345b5c8519b5c9114c

Observation 833697ca-f2bb-4d07-b496-05218fa1e3ce · outbound

This paper cites an unresolved cited work.

A Matrix Product State Representation of Boolean Functions Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:11:56.259061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.991142Z digest=sha256:c4711230d66c23eb5762dc946ef319da774c32d285d6cdb1ce840a4737676e70

Observation f6a9e3b7-9a23-459b-8074-e36336a10f6f · outbound

This paper cites Tensor-train numerical integration of multivariate functions with singularities.

A Matrix Product State Representation of Boolean Functions Tensor-train numerical integration of multivariate functions with singularities

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.242718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:55.995650Z digest=sha256:61706dea9cca56e6e152833a96a8a8a4fad11f5e8ba8b3ade272458da59467a6

Observation b7be9480-f6b1-4c20-8252-7216bdff9e2e · outbound

This paper cites Vincent Poor, and Michel Verhaegen.

A Matrix Product State Representation of Boolean Functions Vincent Poor, and Michel Verhaegen

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.225670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:56.000316Z digest=sha256:8c0ddd3d428667f57ffa7f3029af42a350b725e27f553fd0573880cf7d7e318a

Observation 916be619-c356-448f-854e-e9593b433fce · outbound

This paper cites Quantized tensor networks for solving the Vlasov-Maxwell equations, 2024.

A Matrix Product State Representation of Boolean Functions Quantized tensor networks for solving the Vlasov-Maxwell equations, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.209837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:56.006032Z digest=sha256:4fccb5cd1983219c7f0a79466e4989fbd26f3f0059d571f384d180fb928440c1

Observation ed5fc95d-e546-4579-a89a-bf608254e6bc · outbound

This paper cites Quantum Circuit Simulation with Fast Tensor Decision Diagram.

A Matrix Product State Representation of Boolean Functions Quantum Circuit Simulation with Fast Tensor Decision Diagram

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:11:56.062296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:56.011182Z digest=sha256:f0d7979d1ca8955217bb0b3a2c23b498c0cbd230d902ab7fb4ffbff3bcfac9e9

Observation 45c2912c-49d3-4e40-9e9d-9a06eba38b13 · outbound

This paper cites Quantum computational advantage via 60-qubit 24-cycle random circuit sampling.

A Matrix Product State Representation of Boolean Functions Quantum computational advantage via 60-qubit 24-cycle random circuit sampling

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:11:56.194237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:11:56.016787Z digest=sha256:7ae8959e83a0acc89c38835ab9b157561b046a6c3a86ed1df6edc50966691eb3

Pith citing papers

No inbound Pith citation observations are available.