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Paper Citation Record · LEDGER

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2307.02457.

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

pith.paper-citation-record.v1
2307.02457 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:31:34.942871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:18:59.568679Z

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 d541edde-ec6a-410d-afd5-0e4a80bb99ed · inbound

Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution cites this paper.

Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:31:34.942871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:31:34.942871Z digest=sha256:3a02a6a431e1c05c8b86f84348e3e877817208f18de5370d447f788990981e40

Observation f7f22d33-8d03-48de-8de3-9224c6d98b2f · inbound

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution cites this paper.

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T17:33:37.974738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:33:37.974738Z digest=sha256:9a6a2b280d015998d862d35f2cad98816a94b20821df42cc65b9fc61ded20a2a

Observation 1afdfddf-bd24-42e9-b4bc-638e8ebe1f9c · inbound

DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective cites this paper.

DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T12:13:58.825207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:13:58.825207Z digest=sha256:6a7d26de9a2233835b4cce2337d39484d0bd36422f824eeb7139118706dacc27

Observation 7e498552-78fa-4c7f-b56e-6d924e37137e · inbound

Allo{SR}$^2$: Rectifying One-Step Super-Resolution to Stay Real via Allomorphic Generative Flows cites this paper.

Allo{SR}$^2$: Rectifying One-Step Super-Resolution to Stay Real via Allomorphic Generative Flows DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:04.448915Z

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=2026-05-10T03:40:33.980696Z digest=sha256:3812bd4f7aef729e59b471b0e7a078fa51fce05a13635285d333be2e74ea67ad

Observation d8f0903f-0d1b-4ae2-b0f7-db8e47aab5f2 · inbound

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution cites this paper.

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:31:16.609234Z

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=2026-05-07T16:48:27.749230Z digest=sha256:d6ed991b82e9c02d66f3d927af28f7b53117156680b242ca470809f8d921253b

Observation 20b49c7e-fd48-42d7-b360-443cfe8dbc21 · inbound

SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation cites this paper.

SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:35:04.614626Z

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=2026-06-30T21:30:24.234711Z digest=sha256:3fbc61e92f79295f4aa2dba25681d70c722c99458011f91c85199d4b414ebeca

Observation b3129f54-841e-41f6-bd49-e1b71ec3222e · inbound

DreamSR: Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion Transformer cites this paper.

DreamSR: Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion Transformer DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:08:59.194611Z

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=2026-05-20T20:07:26.432000Z digest=sha256:c905e6dc069d6c809b128c52474609cb1666e14e7a7b7931e806b83466584faa

Observation b47b1b62-78ce-4591-adce-e861ea89b721 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 97

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:41.470983Z

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=arxiv_source observed=2026-07-01T05:49:20.689248Z digest=sha256:1bfba2583d34eb0cac87cc0325b819be1517e13ec9c16ca4d6ff38feed41ed41

Observation 3c6537aa-77ee-4105-b881-163c8b6f0a42 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Reference 97

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:18:59.583419Z

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=arxiv_source observed=2026-07-03T22:14:30.734906Z digest=sha256:54dd01fb4b5dc5e639403e71970a7c1949ee017b01005932b3effec87d5431e8