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Paper Citation Record · LEDGER

Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.11073.

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

pith.paper-citation-record.v1
2503.11073 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:46:25.947963Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:42:46.061488Z

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 ca747832-6c0c-47ac-9b9c-d0bd1b662fd5 · inbound

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought cites this paper.

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:33:02.053307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:32:20.566798Z digest=sha256:1f7e00f55437117edb589ba48214b1b6b63f2d675f5189de5cce28c93dbdee98

Observation 26af4618-9c36-4c86-9150-d712a48f3bfa · inbound

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training cites this paper.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:25.947963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.947963Z digest=sha256:bd34a1d8b218a199529456fc3905cd7692e022ba9d8e4c26db8d5cec9810ee5c

Observation 87836a92-67ce-47d1-b963-4d1dd0803462 · inbound

Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration cites this paper.

Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T07:38:48.771332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:38:48.771332Z digest=sha256:6bbdc7d08a1fd89885840e42d7051f5834f693fc9d25283ae60aaed75592439d

Observation 75bdbdaf-ee50-4e2d-b1f9-f0443b14a1dc · inbound

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration cites this paper.

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:00:12.973941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T14:00:00.292925Z digest=sha256:ae570a0e2f1aa70c84ac896b935bf8e67115f91b19b721fba6ebc6d19cd805d0

Observation bd7aea14-b974-435d-93d9-d54da6eaeed5 · inbound

Q-DeepSight: Incentivizing Thinking with Images for Image Quality Assessment and Refinement cites this paper.

Q-DeepSight: Incentivizing Thinking with Images for Image Quality Assessment and Refinement Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:46:37.309544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T06:43:54.201604Z digest=sha256:9d396909d965a08c5e7cb54ae4d9104b6dda8be12a78b5e73d922418627d3fef

Observation 26911598-1190-4754-b954-5f1ae4deba6e · inbound

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration cites this paper.

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.063333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T22:42:14.320188Z digest=sha256:7496e789dfd37e78c1b69e5dc96f89606b50cadf6465859d1eb0aa2311557bec

Observation 9ed1b31e-fe52-429b-aaa1-5a8067d55e09 · inbound

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution cites this paper.

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-01T22:34:40.786522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:40.786522Z digest=sha256:3d0323e99bfe1ae5e6497eb25856ef40e5c5567c661c3ace27d1329aba330248