Paper Citation Record · LEDGER

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1809.00219.

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

pith.paper-citation-record.v1
1809.00219 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:11:07.433665Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1142
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4263a4f9-b81a-474d-9668-95b0d2363476 · inbound

Efficient Medicinal Image Transmission and Resolution Enhancement via GAN cites this paper.

Efficient Medicinal Image Transmission and Resolution Enhancement via GAN ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:11:07.433665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e54af341-3387-4eb0-9770-d09fee7b79fc · inbound

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects cites this paper.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T16:36:12.013612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94fd6f56-8447-4616-b7c6-b1e7342c68c5 · inbound

Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention cites this paper.

Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:10.398236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc522e35-baca-491f-aaa0-3eb158135919 · inbound

Super-Resolved Canopy Height Mapping from Sentinel-2 Time Series Using Airborne LiDAR HD Reference Data across Metropolitan France cites this paper.

Super-Resolved Canopy Height Mapping from Sentinel-2 Time Series Using Airborne LiDAR HD Reference Data across Metropolitan France ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T16:55:04.765356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5dd5483-bb47-4420-afb4-f8689bbf4291 · inbound

Pinterest Canvas: Large-Scale Image Generation at Pinterest cites this paper.

Pinterest Canvas: Large-Scale Image Generation at Pinterest ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-15T13:50:51.666642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6abab42-afcd-489d-97b7-66f6e6a057e0 · inbound

Flow matching for Sentinel-2 super-resolution: implementation, application, and implications cites this paper.

Flow matching for Sentinel-2 super-resolution: implementation, application, and implications ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T23:03:30.214660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cf2b9e4-3bf3-44c0-8f2e-d5f22119a90b · inbound

D-SHIFT: Transferring High Spatial Information from GRACE Monthly TWSA Mascon to Daily Products Using Generative Adversarial Networks cites this paper.

D-SHIFT: Transferring High Spatial Information from GRACE Monthly TWSA Mascon to Daily Products Using Generative Adversarial Networks ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:03:30.214660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad786ec0-5553-40e3-bbf4-44cc5bb3cf9f · inbound

NeuroGAN-3D: Enhancing Intrinsic Functional Brain Networks via High-Fidelity 3D Generative Super-Resolution cites this paper.

NeuroGAN-3D: Enhancing Intrinsic Functional Brain Networks via High-Fidelity 3D Generative Super-Resolution ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:03:30.214660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.