Paper Citation Record · LEDGER

Variational inference and density estimation with non-negative tensor train

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2507.21519.

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

pith.paper-citation-record.v1
2507.21519 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:47:04.941185Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:28:10.011271Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:59:51.588102Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy16
unresolved19
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82d34950-2434-4781-a215-383271b009e8 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:47:11.906515Z

Source-reported events for the cited work

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Observation bda2f849-a351-4898-b534-ba02367f5a59 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:47:11.726702Z

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Observation b01b995b-645c-41b2-b7ce-bc946a0222cf · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 3

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Observation d58c0642-e116-47c5-b236-da3ead0237ae · outbound

This paper cites Chen and Y.

Variational inference and density estimation with non-negative tensor train Chen and Y

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:47:05.279369Z

Source-reported events for the cited work

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Observation 8af6b701-104d-41b1-a4d9-914090a12279 · outbound

This paper cites Cichocki, S.

Variational inference and density estimation with non-negative tensor train Cichocki, S

Reference 5

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Observation 964eac84-8450-4e67-ba15-a049f9a30068 · outbound

This paper cites Cichocki, H.

Variational inference and density estimation with non-negative tensor train Cichocki, H

Reference 6

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Source-reported events for the cited work

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Observation 72fbe63c-c17d-40d0-a762-1ab164cfe354 · outbound

This paper cites Donoho and V.

Variational inference and density estimation with non-negative tensor train Donoho and V

Reference 7

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Observation 853c17c7-d781-476d-9dd9-08b963467100 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 8

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Observation 0970d29a-f605-418b-ac4e-473aa2d8654f · outbound

This paper cites Forsgren, P.

Variational inference and density estimation with non-negative tensor train Forsgren, P

Reference 9

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This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 11

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Observation c3e8d8fa-aa8c-4b0a-9c0f-e9c14158a5b1 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 12

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Observation 76474ddc-dde7-4370-a5d6-29e0b8c3efe3 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 13

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This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 14

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Observation 0678021e-91a6-4225-b53d-19cb379964c8 · outbound

This paper cites Lee and H.

Variational inference and density estimation with non-negative tensor train Lee and H

Reference 15

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Observation afeca7ed-5ece-4283-9a05-6a66cddc5f40 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 16

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Observation 36ddf838-2fc1-41bf-bb36-0ac240ac7043 · outbound

This paper cites Liu, Monte Carlo strategies in scientific computing , vol.

Variational inference and density estimation with non-negative tensor train Liu, Monte Carlo strategies in scientific computing , vol

Reference 17

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Source-reported events for the cited work

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Observation c6e44be4-5ad6-4642-be8a-be0af763de7e · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 2ac1f075-df3b-4290-8f1b-0d0182b8feb0 · outbound

This paper cites Nesterov and A.

Variational inference and density estimation with non-negative tensor train Nesterov and A

Reference 19

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Source-reported events for the cited work

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Observation b621e91e-0487-4dc6-b965-42b0c3434d04 · outbound

This paper cites Nocedal, A.

Variational inference and density estimation with non-negative tensor train Nocedal, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:47:07.892449Z

Source-reported events for the cited work

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Observation 74bdf404-ab81-42ac-8458-cffa03236da3 · outbound

This paper cites Nocedal and S.

Variational inference and density estimation with non-negative tensor train Nocedal and S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:47:07.685795Z

Source-reported events for the cited work

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Observation 54200027-127d-4090-898e-776c032f0870 · outbound

This paper cites Oseledets and E.

Variational inference and density estimation with non-negative tensor train Oseledets and E

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:47:07.465093Z

Source-reported events for the cited work

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Observation bbc0deaf-b38d-4bb3-ba4e-b9e85f627e7b · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:47:07.258974Z

Source-reported events for the cited work

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Observation 3663f36d-78e7-4815-91a6-1b5195f133f9 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:47:07.080541Z

Source-reported events for the cited work

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Observation 3ba174ed-2de1-4fa5-9a69-63ab57b59d91 · outbound

This paper cites Savostyanov and I.

Variational inference and density estimation with non-negative tensor train Savostyanov and I

Reference 25

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Source-reported events for the cited work

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Observation e8b8c95c-be48-46a2-a7bd-425f89eaa482 · outbound

This paper cites Schneider and A.

Variational inference and density estimation with non-negative tensor train Schneider and A

Reference 26

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Source-reported events for the cited work

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Observation 9cd0b5e5-d548-45b4-abcf-8c58dd7ef643 · outbound

This paper cites Shcherbakova, Nonnegative tensor train factorization with dmrg technique, Lobachevskii Journal of Math- ematics, 40 (2019), pp.

Variational inference and density estimation with non-negative tensor train Shcherbakova, Nonnegative tensor train factorization with dmrg technique, Lobachevskii Journal of Math- ematics, 40 (2019), pp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:47:06.495247Z

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Observation 800a7e50-8cdd-48f6-8beb-4efd46bae9af · outbound

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Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 28

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Source-reported events for the cited work

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Observation 62413485-6e15-41e7-ab27-9e94e72e314f · outbound

This paper cites Tang, Tensor network methods for scientific computing , phd thesis, Stanford University, Stanford, CA, March 2025.

Variational inference and density estimation with non-negative tensor train Tang, Tensor network methods for scientific computing , phd thesis, Stanford University, Stanford, CA, March 2025

Reference 29

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Observation b6c479ad-f584-4647-8d4d-f8d71f37e672 · outbound

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Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 30

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Observation ac3011a9-a28e-4013-918c-60e6e672f7f0 · outbound

This paper cites Initialization and training of matrix product state probabilistic models.

Variational inference and density estimation with non-negative tensor train Initialization and training of matrix product state probabilistic models

Reference 31

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Source-reported events for the cited work

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Observation e58f0b64-1bad-4796-9d65-6b9a5e71d81e · outbound

This paper cites Wavelet-based density sketching with functional hierarchical tensor.

Variational inference and density estimation with non-negative tensor train Wavelet-based density sketching with functional hierarchical tensor

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T12:47:04.606452Z

Source-reported events for the cited work

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Observation 9927c60a-e118-4916-a384-42e92b0fe0c8 · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:47:05.946559Z

Source-reported events for the cited work

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Observation b89df009-76be-4eed-b30a-0861efe9c157 · outbound

This paper cites W ang and Y.-J.

Variational inference and density estimation with non-negative tensor train W ang and Y.-J

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:47:05.754442Z

Source-reported events for the cited work

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Observation 297bb3de-d5a3-4846-913b-33bd3dc49fcf · outbound

This paper cites an unresolved cited work.

Variational inference and density estimation with non-negative tensor train Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation 2757022c-8d4e-40b0-8cc6-353c712bf33d · outbound

This paper cites Zdunek and A.

Variational inference and density estimation with non-negative tensor train Zdunek and A

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:47:05.426641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation bea38769-d609-4fe8-92a8-2aad9bab3995 · inbound

High-Dimensional Enhanced Sampling via Regularized Path-Dependent McKean--Vlasov Dynamics using Tensor Density Approximation cites this paper.

High-Dimensional Enhanced Sampling via Regularized Path-Dependent McKean--Vlasov Dynamics using Tensor Density Approximation Variational inference and density estimation with non-negative tensor train

Reference 35

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Source-reported events for the cited work

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Observation 66d0df60-c4f8-4869-8fa1-ed9762351975 · inbound

Variational inference and density estimation with non-negative tensor of hierarchical tucker format cites this paper.

Variational inference and density estimation with non-negative tensor of hierarchical tucker format Variational inference and density estimation with non-negative tensor train

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:59:51.590825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e646b3ab-4464-41d5-ad24-9d888d40a42d · inbound

Nonnegative Low-Rank Matrix Correction under an Orthogonality Constraint in Conservative Vlasov Simulations cites this paper.

Nonnegative Low-Rank Matrix Correction under an Orthogonality Constraint in Conservative Vlasov Simulations Variational inference and density estimation with non-negative tensor train

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T00:28:10.011271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.