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Paper Citation Record · LEDGER

Accurate Image Restoration with Attention Retractable Transformer

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2210.01427.

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

pith.paper-citation-record.v1
2210.01427 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:35.483720Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:54:01.186734Z

Reference resolution

0 of 0 outbound references displayed

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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 35937555-0efd-4b4e-bfed-d0dc353b51ee · inbound

Navigating Image Restoration with VAR's Distribution Alignment Prior cites this paper.

Navigating Image Restoration with VAR's Distribution Alignment Prior Accurate Image Restoration with Attention Retractable Transformer

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T23:09:05.787636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:09:05.787636Z digest=sha256:9789c2598a352f610f693585b205d00275fa93e2451bf2462eefc294bbfa70a6

Observation 1efae652-90a6-4c18-a60d-0f344e1a3c5c · inbound

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study cites this paper.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Accurate Image Restoration with Attention Retractable Transformer

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:35.483720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:38:35.483720Z digest=sha256:895dd55fc0f9e3b86dafb5170a557e0fe8a4efc2ffcd0fa61c48b78ec117e445

Observation d6825c05-a63d-469d-b223-3ebcd4c264fd · inbound

Dual Prompting Image Restoration with Diffusion Transformers cites this paper.

Dual Prompting Image Restoration with Diffusion Transformers Accurate Image Restoration with Attention Retractable Transformer

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T10:51:23.914749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:51:23.914749Z digest=sha256:47b8f357ff8d2f77bcb983c7e9415db6e4a6f676019605493aa7895aff6a76c0

Observation 4d08e600-93f0-40ab-8f28-cd5fd8f35f54 · inbound

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration cites this paper.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Accurate Image Restoration with Attention Retractable Transformer

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-15T19:20:23.918217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.918217Z digest=sha256:67913b31cffee565bd574b9c99e3c37e571a82ed713d368796ff7769a07ffc41

Observation 7f380c66-0e23-46da-997a-acbf27ce6929 · inbound

Reversing Flow for Image Restoration cites this paper.

Reversing Flow for Image Restoration Accurate Image Restoration with Attention Retractable Transformer

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-15T19:21:35.154302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:21:35.154302Z digest=sha256:d0663dd281c9e488dea3060a024db5be8b2367760533a8598b2691c2be27a5d5

Observation c5a14049-faf7-4874-a1d3-336ec8e6a2a9 · inbound

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration cites this paper.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Accurate Image Restoration with Attention Retractable Transformer

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.626940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.626940Z digest=sha256:41d1b425b219cd35f2ea95430a92ad035439978c59e9b9fa75d0f65c6214cdae

Observation 069eaebf-4c61-4981-9cde-5167caca8198 · inbound

The Darkside-20k Data Acquisition System cites this paper.

The Darkside-20k Data Acquisition System Accurate Image Restoration with Attention Retractable Transformer

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-15T11:41:34.003655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:0166abeb12dcb188dfea3ea7ad472d1906c2d3a2040db9a23bc25bcb62efb8bc

Observation 0327be7a-8680-4b21-98aa-346805953200 · inbound

Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks cites this paper.

Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks Accurate Image Restoration with Attention Retractable Transformer

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:13:13.400946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T20:11:44.590571Z digest=sha256:b9c827ce9172d4130bfb70ce4b12491100dc7cb3d498b9e49e069910d7b2a8f0

Observation 4b44f1ad-be7c-44b6-ba2d-ac7a72741294 · inbound

SAT: Selective Aggregation Transformer for Image Super-Resolution cites this paper.

SAT: Selective Aggregation Transformer for Image Super-Resolution Accurate Image Restoration with Attention Retractable Transformer

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:58.977959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T17:05:40.713918Z digest=sha256:1b4266467f4fccf014a1f8224ebfeee61c1bacc0ae3d65b247566ed988c59959

Observation 0e5cd659-e4f1-496e-9c2e-21cab7bbcc4a · inbound

EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction cites this paper.

EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction Accurate Image Restoration with Attention Retractable Transformer

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:54.733841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T02:03:51.327432Z digest=sha256:9f3cded7ee2565a65d80aa90bec43746e5525b33ddd6de348dce5180428c3bee

Observation 5d703f6f-56a7-4a79-a112-c5aedf7c3778 · inbound

SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution cites this paper.

SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution Accurate Image Restoration with Attention Retractable Transformer

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.188191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T22:50:04.503551Z digest=sha256:b617906749be9794773281f04bb53356ac5466d16e8d4fb5d4b9b07aaa6395bf