Paper Citation Record · LEDGER

Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2302.09019.

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

pith.paper-citation-record.v1
2302.09019 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:56.332166Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 04bc23d0-7f3c-4321-a51e-e8973a1187b8 · inbound

Derivation of Runge--Kutta Order Conditions via Functional Tree Tensor Networks cites this paper.

Derivation of Runge--Kutta Order Conditions via Functional Tree Tensor Networks Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:32:00.936482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e76f715-d7f2-4778-ab7c-f50da733a36c · inbound

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks cites this paper.

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:56.332166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cee59b6-d96c-4741-8e18-1b2d9a485b77 · inbound

Hybrid between biologically and quantum-inspired many-body states cites this paper.

Hybrid between biologically and quantum-inspired many-body states Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:12:15.465482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ef69d80-d47c-4381-b16c-67dc9b40faf6 · inbound

Neuralized Fermionic Tensor Networks for Quantum Many-Body Systems cites this paper.

Neuralized Fermionic Tensor Networks for Quantum Many-Body Systems Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:36.929773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 085ed6d4-6c18-49de-9d34-508206212902 · inbound

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework cites this paper.

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:41.299241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da561fd-57d6-4baa-85f2-5be921fefd15 · inbound

Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification cites this paper.

Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:31:44.354799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9f507d9-7b91-4246-924f-e85260775ad6 · inbound

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics cites this paper.

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:42:26.629798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92a0c488-4d6a-4c65-bcf7-9a67b308e09c · inbound

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices cites this paper.

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T06:57:48.617730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14855c3-d58b-4530-b296-76df0dc733e7 · inbound

Tensor-Augmented Convolutional Neural Networks: Enhancing Expressivity with Generic Tensor Kernels cites this paper.

Tensor-Augmented Convolutional Neural Networks: Enhancing Expressivity with Generic Tensor Kernels Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:36:00.959752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 189de5e8-6e46-40ad-9586-f72c499779c5 · inbound

Quantum-inspired tensor networks in machine learning models cites this paper.

Quantum-inspired tensor networks in machine learning models Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:50:26.916555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7159343-1e51-4dca-be92-50b267f019e8 · inbound

Entanglement is Half the Story: Post-Selection vs. Partial Traces cites this paper.

Entanglement is Half the Story: Post-Selection vs. Partial Traces Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:28:57.416932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d5bcba0-ab55-4cc1-a549-0939ae249597 · inbound

T-GINEE: A Tensor-Based Multilayer Graph Representation Learning cites this paper.

T-GINEE: A Tensor-Based Multilayer Graph Representation Learning Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:23:30.946460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bbc01b3-62b1-4d90-b9e2-c322846d9255 · inbound

Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks cites this paper.

Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.148164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e7beaf0-f7a8-4325-953d-7d5a199c6556 · inbound

A fast sum-of-Gaussians algorithm for the high-dimensional fractional Fokker-Planck equation cites this paper.

A fast sum-of-Gaussians algorithm for the high-dimensional fractional Fokker-Planck equation Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T17:55:51.201947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db188f74-666e-41b5-9fdd-15e126054dbe · inbound

When AI meets quantum information: A comprehensive review cites this paper.

When AI meets quantum information: A comprehensive review Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

Reference 269

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:56.391772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.