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Paper Citation Record · LEDGER

Learning Texture Transformer Network for Image Super-Resolution

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.04139.

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

pith.paper-citation-record.v1
2006.04139 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:46.255816Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:31:46.506434Z

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 173f6350-717e-42e7-bc14-258859395c3b · inbound

UltraZoom: Generating Gigapixel Images from Regular Photos cites this paper.

UltraZoom: Generating Gigapixel Images from Regular Photos Learning Texture Transformer Network for Image Super-Resolution

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:31:46.511610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T00:31:46.255816Z digest=sha256:34f4089f6cb45dedd29b86e66b6c35705ae75cd67cd69d7c687e694de542552e

Observation ecca94ac-7dbe-4915-b4bd-069fdd850bb9 · inbound

MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale cites this paper.

MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale Learning Texture Transformer Network for Image Super-Resolution

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-07-31T06:40:45.607163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:40:45.607163Z digest=sha256:8f9ed592af4b7b6a8547c8f0c274bfd4801d23c5582bc326a14d61d30830b7f3