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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T08:32:20.566798Z digest=sha256:1153330ba3c96966d6345543c5bb543ac4fca0657e02cdb133d467d351a79469

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:b61fe4d06ab7586d7e42933f85bf6f8f7fd3ba00ab61e2f6d1bb1291d6699c17

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T14:00:00.292925Z digest=sha256:b0239439378f6ff71c9496e033c43556f4ea154ac7377429a0f49561cc49a991

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:43:54.201604Z digest=sha256:dd47f0ca374d603204dbed5b3160581f85a60dea8c99e52be72679986843728b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T22:42:14.320188Z digest=sha256:0af1b4caa8c311f45d27d0662c40f7c16ae02b0923b5f8120b2e1f48e735e9df

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=sha256:8e540b97032acb7fa6076af03d2e02c2271c4b9df7b84111542330969252d442