Paper Citation Record · LEDGER

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2508.02633.

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

pith.paper-citation-record.v1
2508.02633 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:55:55.434754Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

23 of 23 outbound references displayed

verified exact2
verified fuzzy19
unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96819a88-3d45-414a-b06e-07c4bd66fc99 · outbound

This paper cites Dynamic mode decomposition and its variants,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Dynamic mode decomposition and its variants,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:59.009229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84efa113-16c0-4188-ab4b-7eedb569ff6a · outbound

This paper cites Dynamic mode decomposition: Theory and applications,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Dynamic mode decomposition: Theory and applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:58.867288Z

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Observation a6bac4c8-f654-49c1-888f-2831576d7cb7 · outbound

This paper cites Dynamic mode decom- position with control,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Dynamic mode decom- position with control,

Reference 3

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Source-reported events for the cited work

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Observation 9eb43943-6a74-4922-a8bc-90a728528e70 · outbound

This paper cites Dynamic mode decomposition of numerical and experi- mental data,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Dynamic mode decomposition of numerical and experi- mental data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:58.602623Z

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Observation 63672cae-27ae-41f9-97d1-cfbd2b6f8368 · outbound

This paper cites Dynamic mode decomposition for background modeling,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Dynamic mode decomposition for background modeling,

Reference 5

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Observation 1db32398-9e20-4593-91f8-fb39024e9b5c · outbound

This paper cites Extract- ing spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Extract- ing spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:58.248608Z

Source-reported events for the cited work

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Observation fa9327eb-18a2-42e6-bae5-1b1a54835a82 · outbound

This paper cites Estimation of perturbations in robotic behavior using dynamic mode decomposi- tion,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Estimation of perturbations in robotic behavior using dynamic mode decomposi- tion,

Reference 7

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Source-reported events for the cited work

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Observation b1cb45fe-4bf0-4e71-a2ed-5c768ad94fb4 · outbound

This paper cites Dynamic mode decomposition in various power system applications,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Dynamic mode decomposition in various power system applications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:57.934761Z

Source-reported events for the cited work

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Observation 34000c3c-ae9a-4d66-b178-3636a98b9525 · outbound

This paper cites Discovering dynamic patterns from in- fectious disease data using dynamic mode decomposition,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Discovering dynamic patterns from in- fectious disease data using dynamic mode decomposition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:57.764850Z

Source-reported events for the cited work

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Observation c43f17ac-9cbe-4261-a766-52a97b1d39c2 · outbound

This paper cites Tensor decompositions and applications,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Tensor decompositions and applications,

Reference 10

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Source-reported events for the cited work

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Observation 71be1272-3444-47e4-b26a-9e4a0cf83e80 · outbound

This paper cites Multilinear control systems theory,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Multilinear control systems theory,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:57.471845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 882efd49-b298-47b3-9d06-8e675749785d · outbound

This paper cites Tensor-based dynamic mode decomposition,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Tensor-based dynamic mode decomposition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:57.333947Z

Source-reported events for the cited work

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Observation fc9c2322-448c-45ba-b946-569223849a06 · outbound

This paper cites A tensor-based data-driven approach for multidimensional harmonic retrieval and its application for mimo channel sounding,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons A tensor-based data-driven approach for multidimensional harmonic retrieval and its application for mimo channel sounding,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:57.165044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fa307d13-cb60-4bb3-a457-2cfa63ed5528 · outbound

This paper cites Third-order tensors as operators on matrices: A theoretical and computational framework with applications in imaging,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Third-order tensors as operators on matrices: A theoretical and computational framework with applications in imaging,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:57.004766Z

Source-reported events for the cited work

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Observation 961aea7c-8d02-4f0e-8d4a-f0d00d2d8a2b · outbound

This paper cites Third-order tensors as linear operators on a space of matrices,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Third-order tensors as linear operators on a space of matrices,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:56.854947Z

Source-reported events for the cited work

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Observation fcb5b6fd-d6bc-4af5-bf32-6322d0e3d35c · outbound

This paper cites The tensor t-function: A definition for functions of third-order tensors,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons The tensor t-function: A definition for functions of third-order tensors,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:56.694964Z

Source-reported events for the cited work

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Observation 3f9a8c02-558f-498a-9e4e-1e572fc76f30 · outbound

This paper cites Data- driven analysis of t-product-based dynamical systems,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Data- driven analysis of t-product-based dynamical systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:56.565192Z

Source-reported events for the cited work

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Observation db7aa542-6297-4a9a-9225-263c6d5ce1cd · outbound

This paper cites Data-driven Control of T-Product-based Dynamical Systems.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Data-driven Control of T-Product-based Dynamical Systems

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:55:55.784750Z

Source-reported events for the cited work

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Observation 78eba5f3-fea1-47f2-be38-03b93d5f1bcc · outbound

This paper cites Factorization strategies for third-order tensors,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Factorization strategies for third-order tensors,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:56.394759Z

Source-reported events for the cited work

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Observation 368719e6-5564-4a2c-93c2-47195859bf4e · outbound

This paper cites Anomaly detection from multilinear observations via time-series analy- sis and 3dtpca,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Anomaly detection from multilinear observations via time-series analy- sis and 3dtpca,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:56.244857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 268a2847-a901-459c-a633-04239f6a2f42 · outbound

This paper cites Chen, Tensor-Based Dynamical Systems.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Chen, Tensor-Based Dynamical Systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:56.084751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25015dd3-d286-416d-9fc7-3c36d1a7b12f · outbound

This paper cites Exact tensor completion using t-svd,.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Exact tensor completion using t-svd,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:55:55.934749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a48283c6-3e43-4b0e-b83a-d8fb8c26b293 · outbound

This paper cites Tensor-Tensor Product Toolbox.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Tensor-Tensor Product Toolbox

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:55:55.564752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.