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Paper Citation Record · LEDGER

Principal Component Analysis with Tensor Train Subspace

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.05026.

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

pith.paper-citation-record.v1
1803.05026 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:16.417926Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:34:34.176743Z

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 24f10e8e-dc7f-4842-a169-c482260c2bf0 · inbound

Tensor-Train Parameterization for Ultra Dimensionality Reduction cites this paper.

Tensor-Train Parameterization for Ultra Dimensionality Reduction Principal Component Analysis with Tensor Train Subspace

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:34:34.181119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:34:34.087412Z digest=sha256:0cf937fa6d1b97260ebb03b3c57fe5a51ef0482c62d0f2190ba5f71548a2dfae

Observation b4e67bb5-a696-4781-ac2b-70eb68bb4cdd · inbound

Boosting Binomial Exotic Option Pricing with Tensor Networks cites this paper.

Boosting Binomial Exotic Option Pricing with Tensor Networks Principal Component Analysis with Tensor Train Subspace

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T23:31:16.417926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:31:16.417926Z digest=sha256:29cb73c926c094766912830e2928e6ce6897c6d66d1d459e4055a0aea2cd6d0f