Paper Citation Record · LEDGER

Aspects of density approximation by tensor trains

As of 7 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.22218.

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pith.paper-citation-record.v1
2505.22218 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:17:59.258234Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e50c71f-e797-418d-9948-dfd68cd1eaf8 · outbound

This paper cites S ¨arkk¨a and L.

Aspects of density approximation by tensor trains S ¨arkk¨a and L

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:03.915045Z

Source-reported events for the cited work

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Observation 457593ae-5ba4-4cd2-87fe-9d08a71453b7 · outbound

This paper cites Particle filter theory and practice with positioning ap- plications,.

Aspects of density approximation by tensor trains Particle filter theory and practice with positioning ap- plications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:03.800556Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8fd0c31-69db-4437-adc5-3a6dd8190df8 · outbound

This paper cites Particle filtering: The first 25 years and beyond,.

Aspects of density approximation by tensor trains Particle filtering: The first 25 years and beyond,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:03.665634Z

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Observation f2733941-da27-4db5-b524-b84a93554c68 · outbound

This paper cites Advanced point-mass method for nonlinear state estimation,.

Aspects of density approximation by tensor trains Advanced point-mass method for nonlinear state estimation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:03.524945Z

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Observation 5682ad83-efff-4af9-be0e-5f7288933a12 · outbound

This paper cites Design of Rao-Blackwellized point-mass filter with application in terrain aided navigation,.

Aspects of density approximation by tensor trains Design of Rao-Blackwellized point-mass filter with application in terrain aided navigation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:03.327450Z

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Observation a3e3a0bd-4c0e-44d4-9ae8-ba753f860c89 · outbound

This paper cites Design of efficient point-mass filter with terrain aided navigation illustration,.

Aspects of density approximation by tensor trains Design of efficient point-mass filter with terrain aided navigation illustration,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:03.175711Z

Source-reported events for the cited work

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Observation 1ad3060a-7ead-46ae-9edd-2d9523f810a9 · outbound

This paper cites Lagrangian grid-based filters with application to terrain-aided navigation,.

Aspects of density approximation by tensor trains Lagrangian grid-based filters with application to terrain-aided navigation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:02.967280Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 177cf201-ce63-408b-b093-a6380fdee9be · outbound

This paper cites Introduction to Tensor Decompositions and their Applications in Machine Learning.

Aspects of density approximation by tensor trains Introduction to Tensor Decompositions and their Applications in Machine Learning

Reference 8

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Source-reported events for the cited work

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Observation 31bd8e6e-0fb6-4634-8403-432b798ed681 · outbound

This paper cites A literature survey of low- rank tensor approximation techniques,.

Aspects of density approximation by tensor trains A literature survey of low- rank tensor approximation techniques,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:02.811956Z

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Observation f60a4ed0-f507-4412-9db6-232dde6b511d · outbound

This paper cites Tensor-train decomposition,.

Aspects of density approximation by tensor trains Tensor-train decomposition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:02.643858Z

Source-reported events for the cited work

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Observation d98e9676-bc2f-47e0-9e0b-09c1936ecb80 · outbound

This paper cites an unresolved cited work.

Aspects of density approximation by tensor trains Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:18:02.493851Z

Source-reported events for the cited work

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Observation acba0174-b4b5-4207-808d-ebb780963bbd · outbound

This paper cites A theory of pseudoskeleton approximations,.

Aspects of density approximation by tensor trains A theory of pseudoskeleton approximations,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:02.291047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3f61d83-dfc1-4170-af5c-dee0d172ca33 · outbound

This paper cites Quasioptimality of maximum-volume cross inter- polation of tensors,.

Aspects of density approximation by tensor trains Quasioptimality of maximum-volume cross inter- polation of tensors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:02.085033Z

Source-reported events for the cited work

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Observation f88b83c4-0c65-4a53-8083-fff60070cc13 · outbound

This paper cites Tensor train approximation of multivariate functions,.

Aspects of density approximation by tensor trains Tensor train approximation of multivariate functions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:01.877444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6894d95-8d1f-4789-b0b7-be6e9dcbadc7 · outbound

This paper cites Computing f-divergences and distances of high-dimensional proba- bility density functions,.

Aspects of density approximation by tensor trains Computing f-divergences and distances of high-dimensional proba- bility density functions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:01.704122Z

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Observation 1da36752-b05b-48f9-9ef1-b3b31b895e4f · outbound

This paper cites Spectral tensor- train decomposition,.

Aspects of density approximation by tensor trains Spectral tensor- train decomposition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:01.557621Z

Source-reported events for the cited work

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Observation 91e62f3f-98ec-4748-9262-4fc5ca661950 · outbound

This paper cites A continuous analogue of the tensor-train decomposition,.

Aspects of density approximation by tensor trains A continuous analogue of the tensor-train decomposition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:01.382626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ae52d30-2be7-4f24-b3e6-c84286333790 · outbound

This paper cites Constructive representation of functions in low-rank tensor formats,.

Aspects of density approximation by tensor trains Constructive representation of functions in low-rank tensor formats,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:01.172964Z

Source-reported events for the cited work

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Observation 60b4bdae-4aaa-42d3-b047-0bd0f925f266 · outbound

This paper cites Grid-based bayesian filters with functional decomposition of transient density,.

Aspects of density approximation by tensor trains Grid-based bayesian filters with functional decomposition of transient density,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:00.935354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5413a26f-b8c4-403c-bda0-6bef6525f723 · outbound

This paper cites Nonlinear Bayesian filtering based on Fokker- Planck equation and tensor decomposition,.

Aspects of density approximation by tensor trains Nonlinear Bayesian filtering based on Fokker- Planck equation and tensor decomposition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:00.755029Z

Source-reported events for the cited work

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Observation 8af5b156-741b-4384-a050-3d5aa842a5b8 · outbound

This paper cites Tensor decomposition-based multitarget tracking in cluttered environments,.

Aspects of density approximation by tensor trains Tensor decomposition-based multitarget tracking in cluttered environments,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:00.531795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4ea15f5-7b45-4af3-b8e3-d552b7525fab · outbound

This paper cites Tensor-train methods for sequential state and parameter learning in state-space models,.

Aspects of density approximation by tensor trains Tensor-train methods for sequential state and parameter learning in state-space models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:00.382408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 436f9222-0a74-434c-bd7c-5e5b1ea33634 · outbound

This paper cites Rank bounds for approximating gaussian densities in the tensor-train format,.

Aspects of density approximation by tensor trains Rank bounds for approximating gaussian densities in the tensor-train format,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:18:00.211495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 197f42b9-34d2-4ffe-8a74-0a663364cebc · outbound

This paper cites Tensor train discrete grid-based filters: Breaking the curse of dimensionality,.

Aspects of density approximation by tensor trains Tensor train discrete grid-based filters: Breaking the curse of dimensionality,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:59.911862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5bfcd6c3-46ac-4e70-84c5-30d07087d63f · outbound

This paper cites On fusion of probability density functions using tensor train decomposition,.

Aspects of density approximation by tensor trains On fusion of probability density functions using tensor train decomposition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:59.762060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fc80c87-f39f-48a0-9027-1593fe999e63 · outbound

This paper cites Distributed non-negative tensor train decomposition,.

Aspects of density approximation by tensor trains Distributed non-negative tensor train decomposition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:17:59.496441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

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