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Paper Citation Record · LEDGER

Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1310.4977.

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

pith.paper-citation-record.v1
1310.4977 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:06:40.884745Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T20:26:12.701900Z

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 4e62ae2a-7e56-4a14-b2b5-82514abd0a57 · inbound

Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks cites this paper.

Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-01T20:26:12.703804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T21:09:50.996121Z digest=sha256:bb30c4962fe32856096c3d97041f908cc1470ab95ef4f3f413c9db3d5208119c

Observation 810f6521-9521-409e-bfcb-b38e03943cfc · inbound

Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks cites this paper.

Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T13:06:40.884745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:06:40.884745Z digest=sha256:4bbc352b3aef10abf21fb3bf45f6491405155b906b241408189b156c6890d1dd