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Paper Citation Record · LEDGER

Tensor-Train Operator Inference

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.08071.

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

pith.paper-citation-record.v1
2509.08071 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:30:55.750089Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

18 of 18 outbound references displayed

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  • verified fuzzy14
  • unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26300de7-133f-4b45-8914-53fcde2564c2 · outbound

This paper cites A survey of projection-based model reduction methods for parametric dynamical systems,.

Tensor-Train Operator Inference A survey of projection-based model reduction methods for parametric dynamical systems,

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 58c1b447-d91d-413b-9a1a-5ad3a1f8589e · outbound

This paper cites 92, Springer, 2015.

Tensor-Train Operator Inference 92, Springer, 2015

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 48aed7f0-6776-423f-b159-d76bc2f2ce87 · outbound

This paper cites L., and Kutz, J.

Tensor-Train Operator Inference L., and Kutz, J

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b05a14c9-9928-49a6-a170-d95b61fc2451 · outbound

This paper cites Data-drivenoperatorinferencefornonintrusiveprojection-basedmodelreduction,.

Tensor-Train Operator Inference Data-drivenoperatorinferencefornonintrusiveprojection-basedmodelreduction,

Reference 4

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Source-reported events for the cited work

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Observation abe8aea4-081a-494a-b633-2488b9da2862 · outbound

This paper cites Projection-basedmodelreduction: Formulationsforphysics-based machine learning,.

Tensor-Train Operator Inference Projection-basedmodelreduction: Formulationsforphysics-based machine learning,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-04T21:30:55.890346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0e1c3347-9a9c-4f7b-80ba-eee90ef27240 · outbound

This paper cites An enhanced algorithm for online proper orthogonal decomposition and its parallelization for unsteady simulations,.

Tensor-Train Operator Inference An enhanced algorithm for online proper orthogonal decomposition and its parallelization for unsteady simulations,

Reference 6

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 528ced43-5ec8-403c-9f67-7761f1ec2a47 · outbound

This paper cites Dynamic programming,.

Tensor-Train Operator Inference Dynamic programming,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c6b1d276-18e7-4234-ae7d-b19638d20dea · outbound

This paper cites O(dlogN)-quanticsapproximationofN-dtensorsinhigh-dimensionalnumericalmodeling,.

Tensor-Train Operator Inference O(dlogN)-quanticsapproximationofN-dtensorsinhigh-dimensionalnumericalmodeling,

Reference 8

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raw_fallback, observed 2026-08-04T21:30:55.866591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5d6f531a-9c2f-4d8a-b46e-2dbaadf819a6 · outbound

This paper cites TT-cross approximation for multidimensional arrays,.

Tensor-Train Operator Inference TT-cross approximation for multidimensional arrays,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ee634e74-0135-4fe8-80fc-97f45b232ddf · outbound

This paper cites Fast adaptive interpolation of multi-dimensional arrays in tensor train format,.

Tensor-Train Operator Inference Fast adaptive interpolation of multi-dimensional arrays in tensor train format,

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0b8cc1b1-7807-41de-9f5c-f9058a7a7fd2 · outbound

This paper cites Learning Nonlinear Reduced Models from Data with Operator Inference,.

Tensor-Train Operator Inference Learning Nonlinear Reduced Models from Data with Operator Inference,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dbde479b-d5e7-4654-87a4-3eef55159379 · outbound

This paper cites Tensor-train decomposition,.

Tensor-Train Operator Inference Tensor-train decomposition,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 03496118-bbe9-4ed2-8b90-5d9bc3ed11f1 · outbound

This paper cites CUR matrix decompositions for improved data analysis,.

Tensor-Train Operator Inference CUR matrix decompositions for improved data analysis,

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ae4cdd83-6942-46d6-b08e-b242e5d2e032 · outbound

This paper cites How to find a good submatrix,.

Tensor-Train Operator Inference How to find a good submatrix,

Reference 14

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Source-reported events for the cited work

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Observation 97a8b58b-b61b-44e1-b56c-2ddf01fa73c6 · outbound

This paper cites Alternating minimal energy methods for linear systems in higher dimensions,.

Tensor-Train Operator Inference Alternating minimal energy methods for linear systems in higher dimensions,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8835ffbb-d5fc-4108-aec8-bdbf8659a0a4 · outbound

This paper cites Tensor networks for solving the time-independent Boltzmann neutron transport equation,.

Tensor-Train Operator Inference Tensor networks for solving the time-independent Boltzmann neutron transport equation,

Reference 16

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5814b1e0-b02f-417b-81bc-4d3a75eb869d · outbound

This paper cites The tensor-train mimetic finite difference method for three- dimensional Maxwell’s wave propagation equations,.

Tensor-Train Operator Inference The tensor-train mimetic finite difference method for three- dimensional Maxwell’s wave propagation equations,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5262dd94-9ff7-40e3-8698-35e6b4e03ed2 · outbound

This paper cites A new direct discontinuous Galerkin method with interface correction for two-dimensional compressible Navier-Stokes equations,.

Tensor-Train Operator Inference A new direct discontinuous Galerkin method with interface correction for two-dimensional compressible Navier-Stokes equations,

Reference 18

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arxiv_id, observed 2026-08-04T21:30:55.791497Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.