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Paper Citation Record · LEDGER

Tensor-Tensor Product Toolbox

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1806.07247.

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

pith.paper-citation-record.v1
1806.07247 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:19.348156Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:55:55.540828Z

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 c0561be0-79a0-4186-aaf9-50a5b916d631 · inbound

Data-driven model order reduction for T-Product-Based dynamical systems cites this paper.

Data-driven model order reduction for T-Product-Based dynamical systems Tensor-Tensor Product Toolbox

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T11:50:19.348156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:50:19.348156Z digest=sha256:26919a06d6836d5b0ea51b972760e767d2b3cce24ecad139a227ff8f78f05a4f

Observation 698aa32e-a9f7-48e4-b49c-13966536df5b · inbound

Efficient iterative techniques for solving tensor problems with the T-product cites this paper.

Efficient iterative techniques for solving tensor problems with the T-product Tensor-Tensor Product Toolbox

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T10:40:39.490526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:40:39.490526Z digest=sha256:54745b99c063db377425ae61fa07992914fe76dab51a4f551a684a0e4542cc72

Observation a48283c6-3e43-4b0e-b83a-d8fb8c26b293 · inbound

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons cites this paper.

Neural subspaces, minimax entropy, and mean-field theory for networks of neurons Tensor-Tensor Product Toolbox

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:55:55.564752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T04:55:55.434754Z digest=sha256:bd60b513124f0550092e1864650640af9e5f0ae1e4102e6855a365db9c6a9005