Pith. sign in

Paper Citation Record · LEDGER

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14783.

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

pith.paper-citation-record.v1
2410.14783 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:53:49.173610Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:23:06.994551Z

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 f80ebf38-412d-4800-878b-351c59db7ea8 · inbound

Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation cites this paper.

Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-08T04:53:49.173610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:53:49.173610Z digest=sha256:ddea868caf03caa7c166ba41b3506c319cf501bf5b1bdea0fc7b684f9d6b195e

Observation 3ace05e2-df77-44a1-9889-b3c2356d94a9 · inbound

Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection cites this paper.

Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:23:06.995895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T07:20:43.847495Z digest=sha256:1e4661f5d14677c084f7660bcf761feea7a3d5faa9ad4fc2d442a60d932311c4