Paper Citation Record · LEDGER

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.10432.

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

pith.paper-citation-record.v1
2507.10432 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:35:26.016102Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4e677b1-81c5-43d8-834f-4149a5f1416d · outbound

This paper cites Making a “completely blind.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Making a “completely blind

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.659145Z

Source-reported events for the cited work

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Observation 64184f0f-32ff-42f4-b229-c9aed05cf055 · outbound

This paper cites Blind image quality assessment: From natural scene statistics to perceptual quality,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Blind image quality assessment: From natural scene statistics to perceptual quality,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.645087Z

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Observation 02c2afb1-9119-45d7-9f11-04879445f51c · outbound

This paper cites No-reference image quality assessment in the spatial domain,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment No-reference image quality assessment in the spatial domain,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.630761Z

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Observation b5ba79fa-6b1a-458e-9c16-877914f8b101 · outbound

This paper cites A feature-enriched completely blind image quality evaluator,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment A feature-enriched completely blind image quality evaluator,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.615244Z

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Observation d3db385d-b1ed-4909-8661-796e1b43c53e · outbound

This paper cites Blind image quality assessment using a deep bilinear convolutional neural network,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Blind image quality assessment using a deep bilinear convolutional neural network,

Reference 5

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Observation e2361bd2-4bd0-4f7c-afca-25fe37a94c7f · outbound

This paper cites Arniqa: Learning distortion manifold for image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Arniqa: Learning distortion manifold for image quality assessment,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.585867Z

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Observation 2baa83f2-ace7-4ff2-90ed-43d13d9a73c1 · outbound

This paper cites A multiscale approach to deep blind image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment A multiscale approach to deep blind image quality assessment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.570326Z

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Observation b436ccaa-7ab7-493d-bdeb-9a573eec7f38 · outbound

This paper cites Topiq: A top-down approach from semantics to distortions for image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Topiq: A top-down approach from semantics to distortions for image quality assessment,

Reference 8

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Observation 1df08e5d-f548-455c-8384-5bdea80e3596 · outbound

This paper cites Blindly assess image quality in the wild guided by a self-adaptive hyper network,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Blindly assess image quality in the wild guided by a self-adaptive hyper network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.538204Z

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Observation 221edc49-f33a-4213-95bc-a1dd2faf173d · outbound

This paper cites Data-efficient image quality assessment with attention-panel decoder,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Data-efficient image quality assessment with attention-panel decoder,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.519881Z

Source-reported events for the cited work

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Observation 9d880e27-7417-4b8d-8751-0fb934a1fd31 · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Exploring clip for assessing the look and feel of images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.502204Z

Source-reported events for the cited work

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Observation c85292dc-ac5e-4285-bc90-4b3383a24e43 · outbound

This paper cites Blind image quality assessment via vision-language correspondence: A multitask learning perspective,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Blind image quality assessment via vision-language correspondence: A multitask learning perspective,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.485001Z

Source-reported events for the cited work

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Observation 39a54cc7-393a-4a1b-b8ab-778b48f694fd · outbound

This paper cites Q-bench: A benchmark for multi-modal foundation models on low-level vision from single images to pairs,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Q-bench: A benchmark for multi-modal foundation models on low-level vision from single images to pairs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.468689Z

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Observation 67b00aab-21ab-4f12-ae7d-274de1677c58 · outbound

This paper cites Q-instruct: Improving low-level visual abilities for multi-modality foundation models,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Q-instruct: Improving low-level visual abilities for multi-modality foundation models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.452012Z

Source-reported events for the cited work

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Observation d19414ad-9b61-4b0c-80b3-c10dec9856b7 · outbound

This paper cites Clip-agiqa: Boosting the performance of ai-generated image quality assessment with clip,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Clip-agiqa: Boosting the performance of ai-generated image quality assessment with clip,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.435658Z

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Observation 299d0b66-40d0-493b-b0e4-dd206d2d5df3 · outbound

This paper cites Moe-agiqa: Mixture-of- experts boosted visual perception-driven and semantic-aware quality assessment for ai-generated images,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Moe-agiqa: Mixture-of- experts boosted visual perception-driven and semantic-aware quality assessment for ai-generated images,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.419581Z

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Observation a37aae22-298e-47da-b664-7184b5045d11 · outbound

This paper cites Sf-iqa: Quality and similarity integra- tion for ai generated image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Sf-iqa: Quality and similarity integra- tion for ai generated image quality assessment,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.403374Z

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Observation eb64bfda-7587-4e7c-8b51-2823667d6257 · outbound

This paper cites Bringing textual prompt to ai-generated image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Bringing textual prompt to ai-generated image quality assessment,

Reference 18

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Observation 09c04f81-9e6e-41c0-af8d-fc4876711bcc · outbound

This paper cites AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity

Reference 19

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Source-reported events for the cited work

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Observation aef8dcbc-a2e0-4ede-90be-faeb4fd75bdd · outbound

This paper cites Large multi-modality model assisted ai-generated image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Large multi-modality model assisted ai-generated image quality assessment,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.371717Z

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Observation bc5fccb7-7269-4cc7-82a0-9a3c0a446d8d · outbound

This paper cites TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:35:26.062069Z

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Observation 2fd7454c-a6aa-4256-9967-cda7fcbeea34 · outbound

This paper cites Aigc image quality assessment via image-prompt correspondence,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Aigc image quality assessment via image-prompt correspondence,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.355830Z

Source-reported events for the cited work

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Observation 00f6bf64-e9ee-4eb0-b383-3de14fa2ceb8 · outbound

This paper cites Quality assessment for text-to-image generation: A survey,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Quality assessment for text-to-image generation: A survey,

Reference 23

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Observation 63d1e25f-4f3f-4c5f-8b28-c2e6fca563a1 · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Imagereward: Learning and evaluating human preferences for text-to-image generation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.321443Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 479ff284-64cc-4522-afed-42eb54af7bc4 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Pick-a-pic: An open dataset of user preferences for text-to-image generation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.305492Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68e88f96-bf17-4e10-a0b7-74280c004730 · outbound

This paper cites Learning trans- ferable visual models from natural language supervision,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Learning trans- ferable visual models from natural language supervision,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.290046Z

Source-reported events for the cited work

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Observation 87803dc5-cb52-49e8-878f-1764ce7e286b · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.273420Z

Source-reported events for the cited work

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Observation e33bc117-6fb3-4817-97a2-0e10465a6bb8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 28

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Source-reported events for the cited work

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Observation 57ecc054-3f90-42ea-9476-ba744c1eee07 · outbound

This paper cites Imagenet: A large- scale hierarchical image database,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Imagenet: A large- scale hierarchical image database,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.237267Z

Source-reported events for the cited work

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Observation 35236d87-a4c3-4620-a735-6e55f9ec209a · outbound

This paper cites Aigciqa2023: A large-scale image quality assessment database for ai generated images: from the perspec- tives of quality, authenticity and correspondence,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Aigciqa2023: A large-scale image quality assessment database for ai generated images: from the perspec- tives of quality, authenticity and correspondence,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 60f23a5b-9a00-4bc3-a47c-a5727f6a09b4 · outbound

This paper cites A perceptual quality assessment exploration for aigc images,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment A perceptual quality assessment exploration for aigc images,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.202287Z

Source-reported events for the cited work

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Observation a56e9e1f-a167-4c14-a136-c22013c76fca · outbound

This paper cites Agiqa-3k: An open database for ai-generated image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Agiqa-3k: An open database for ai-generated image quality assessment,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.186978Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce237342-bf39-449b-809a-f2b97ba92649 · outbound

This paper cites Aigiqa-20k: A large database for ai-generated image quality assessment,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Aigiqa-20k: A large database for ai-generated image quality assessment,

Reference 33

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Observation 02ec89e1-c0b4-43c6-9c53-5b75d2fc8c15 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Laion-5b: An open large-scale dataset for training next generation image-text models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.154252Z

Source-reported events for the cited work

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Observation 5a7f1680-bfdc-4ee1-98f3-912e41618324 · outbound

This paper cites Microsoft coco: Common objects in context,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Microsoft coco: Common objects in context,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.139496Z

Source-reported events for the cited work

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Observation d421f419-c232-4b90-8ed4-242ece7a09d5 · outbound

This paper cites The effects of a visual fidelity criterion of the encoding of images,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment The effects of a visual fidelity criterion of the encoding of images,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.124432Z

Source-reported events for the cited work

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Observation 89b364c3-7a8b-4196-aa73-e3edbd8accad · outbound

This paper cites Denoising diffusion probabilistic models,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Denoising diffusion probabilistic models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.109723Z

Source-reported events for the cited work

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Observation d6f5a617-7967-4cac-acd9-e660f3eab0c1 · outbound

This paper cites Generative adversarial nets,.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment Generative adversarial nets,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:26.095173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.