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Paper Citation Record · LEDGER

Coarse-To-Fine Tensor Trains for Compact Visual Representations

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.04332.

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

pith.paper-citation-record.v1
2406.04332 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:17:28.821252Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 31383823-4a08-43b0-a764-d77048932ed3 · inbound

Efficient upsampling for tensor-network and quantum-state encoded functions cites this paper.

Efficient upsampling for tensor-network and quantum-state encoded functions Coarse-To-Fine Tensor Trains for Compact Visual Representations

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T12:17:28.821252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:17:28.821252Z digest=sha256:f5597940b25d27bc3a52c7c9c9f0abb73c3840d381bc0f21cd493ea7285a1693