Paper Citation Record · LEDGER

Deep Learning for Image Super-resolution: A Survey

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1902.06068.

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

pith.paper-citation-record.v1
1902.06068 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:25:47.814882Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:42:59.378325Z

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 a60747eb-b089-4d64-a73a-77ea0fec06fd · inbound

CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network cites this paper.

CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network Deep Learning for Image Super-resolution: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T15:25:47.814882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e452f7ba-ceec-45f4-a7aa-bbdd47116c1a · inbound

Super-resolution of Omnidirectional Images Using Adversarial Learning cites this paper.

Super-resolution of Omnidirectional Images Using Adversarial Learning Deep Learning for Image Super-resolution: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:52:22.344455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d1add1-8c81-499a-a26e-01429b8e5c4a · inbound

Deriving a Quantitative Relationship Between Resolution and Human Classification Error cites this paper.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Deep Learning for Image Super-resolution: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T11:22:56.794771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06fd316-6d51-4f70-b058-0016a1de0cb3 · inbound

Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed cites this paper.

Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed Deep Learning for Image Super-resolution: A Survey

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:42:59.415642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.