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Paper Citation Record · LEDGER

Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.06381.

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

pith.paper-citation-record.v1
2410.06381 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:00:34.613561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c551f5e7-52d9-4baf-b4c0-3dc588948500 · inbound

Statistical Inference for Low-Rank Tensor Models cites this paper.

Statistical Inference for Low-Rank Tensor Models Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T13:43:07.570707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:43:07.570707Z digest=sha256:2f8b875d6d29bda655d314b39a309c874ee7775492a6cdc9282e79786b1000f5

Observation e4788304-c9c5-4c94-8cfd-535a71d1c814 · inbound

Asymptotically perfect seeded graph matching without edge correlation (and applications to inference) cites this paper.

Asymptotically perfect seeded graph matching without edge correlation (and applications to inference) Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:40.761104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:40.761104Z digest=sha256:7a8f8952965c1738ccf3df46a37b49ecce077b8c8bfa0089543308a1ca5008f7

Observation b577c1c4-80c9-4cfc-bec4-c60401a0cd27 · inbound

Perfect Clustering in Very Sparse Diverse Multiplex Networks cites this paper.

Perfect Clustering in Very Sparse Diverse Multiplex Networks Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T18:00:34.613561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:00:34.613561Z digest=sha256:81842ca1ddac2b525d67cf7b47050b4392e06aef1a9e81ad3af8f613830139cd

Observation 1bd34985-72b4-4bdb-b1aa-c4b500bd93e0 · inbound

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation cites this paper.

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:31:44.000950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T18:30:59.391006Z digest=sha256:140adfb84f0d509787a2c785339b3850a834f9f79189cd7c6c04c79bf101cd30

Observation f1829c40-c82f-4c8c-a0f5-ff0c572f57e7 · inbound

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation cites this paper.

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T05:35:15.160151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:35:15.160151Z digest=sha256:ce4e6124e11f7c4f8d05c63b5ff9e0e34fe3a7adac316bd54fd4787c7218c800

Observation bccb9428-8c22-4b86-8c6e-b90d9600fa45 · inbound

Estimation and Statistical Inference for Generalized Multilayer Latent Space Model cites this paper.

Estimation and Statistical Inference for Generalized Multilayer Latent Space Model Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T21:51:54.604382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:51:54.604382Z digest=sha256:f526f48d527b2c0b632d6955a6a89cb0f89d69efb666e6b44057ec81b8258e04

Observation b087a2cf-7317-46a0-89c2-df26ccb2b846 · inbound

Two-Sample Hypothesis Testing for Subspace Equality in Network Data cites this paper.

Two-Sample Hypothesis Testing for Subspace Equality in Network Data Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-06-28T00:11:25.714720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T00:10:28.846933Z digest=sha256:828b6bbee1f089ccda1bd872b82b9021375b07c50247e91089e0ca424c2693b9

Observation 26d0cc13-63b4-48bb-adc3-bc44954d7eeb · inbound

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces cites this paper.

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-27T23:11:22.653938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T23:11:05.443406Z digest=sha256:5be9950f4bfb4b7003a4f506204e5a08f238ad569d368823fccc8161d4790244