Paper Citation Record · LEDGER

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2606.29760.

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

pith.paper-citation-record.v1
2606.29760 v2

Coverage vector

measured 41 of 41 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-01T07:08:45.796716Z

measured 41 of 41 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation 86ea6633-86e2-4398-9b4a-9130ea9f1a4a · outbound

This paper cites Arniqa: Learning distortion mani- fold for image quality assessment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Arniqa: Learning distortion mani- fold for image quality assessment

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.214967Z

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Observation d8981631-959d-4ff5-aff0-eddc5caac02f · outbound

This paper cites Qwen3-VL Technical Report.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Qwen3-VL Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:45:35.600780Z

Source-reported events for the cited work

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Observation 33b18013-e931-4eed-a79e-4b1416e11b7b · outbound

This paper cites Qwen2.5-vl technical report, 2025.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Qwen2.5-vl technical report, 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.211176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28738779-2b69-4861-80c5-0e7ad0e0ad22 · outbound

This paper cites On the use of deep learning for blind image quality assessment.Signal, Image and Video Processing, 12 (2):355–362, 2018.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment On the use of deep learning for blind image quality assessment.Signal, Image and Video Processing, 12 (2):355–362, 2018

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.182099Z

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Observation 879b01d2-3c65-4734-ab68-bf766646ac03 · outbound

This paper cites Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.593423Z

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Observation b5be4c99-854e-4609-b969-362e6e220a50 · outbound

This paper cites Pairwise Comparisons Are All You Need.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Pairwise Comparisons Are All You Need

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.599145Z

Source-reported events for the cited work

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Observation 72fd3850-23b1-457a-bb84-b0190a936bdb · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:45:35.601535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ef44182-5eb8-4349-979d-f65cd91ea599 · outbound

This paper cites Perceptual quality assessment of smartphone pho- tography.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Perceptual quality assessment of smartphone pho- tography

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.195750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df9c6160-0e04-4791-b159-e92a819d5304 · outbound

This paper cites Learn- ing to rank for blind image quality assessment.IEEE trans- actions on neural networks and learning systems, 26(10): 2275–2290, 2015.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Learn- ing to rank for blind image quality assessment.IEEE trans- actions on neural networks and learning systems, 26(10): 2275–2290, 2015

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.185856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a013778-f625-4345-8ac4-38fb636b25eb · outbound

This paper cites Live in the wild image quality challenge database.Online: http://live.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Live in the wild image quality challenge database.Online: http://live

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.178362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67544a99-c993-4995-88ee-3497fac9a2bb · outbound

This paper cites No-reference image quality assessment via transformers, rel- ative ranking, and self-consistency.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment No-reference image quality assessment via transformers, rel- ative ranking, and self-consistency

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.224435Z

Source-reported events for the cited work

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Observation db1b34b4-42ce-496f-99d5-94876ae12645 · outbound

This paper cites No-reference image quality assessment with reinforcement recursive list-wise ranking.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment No-reference image quality assessment with reinforcement recursive list-wise ranking

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.178064Z

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Observation b4c8ce80-2aff-47dc-ab86-8171bef34a93 · outbound

This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Transactions on Image Processing, 29:4041–4056.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Transactions on Image Processing, 29:4041–4056

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.176600Z

Source-reported events for the cited work

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Observation 3d771b41-0bb8-435b-8e93-d7bb836644b5 · outbound

This paper cites Convolu- tional neural networks for no-reference image quality assess- ment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Convolu- tional neural networks for no-reference image quality assess- ment

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.180246Z

Source-reported events for the cited work

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Observation 68f297f9-d1fc-463a-b430-532e211a45df · outbound

This paper cites Musiq: Multi-scale image quality transformer.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Musiq: Multi-scale image quality transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.199340Z

Source-reported events for the cited work

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Observation af4671d0-14c5-4f66-9ef7-eabd59c796cf · outbound

This paper cites Most apparent dis- tortion: full-reference image quality assessment and the role of strategy.Journal of electronic imaging, 19(1):011006– 011006, 2010.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Most apparent dis- tortion: full-reference image quality assessment and the role of strategy.Journal of electronic imaging, 19(1):011006– 011006, 2010

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.200050Z

Source-reported events for the cited work

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Observation 294383da-2651-4d7f-a501-3130e0c3a72a · outbound

This paper cites Agiqa-3k: An open database for ai-generated image quality assessment.IEEE Transactions on Circuits and Sys- tems for Video Technology, 34(8):6833–6846, 2023.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Agiqa-3k: An open database for ai-generated image quality assessment.IEEE Transactions on Circuits and Sys- tems for Video Technology, 34(8):6833–6846, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.190273Z

Source-reported events for the cited work

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Observation baef72bf-c183-41db-a228-84a3db09df8b · outbound

This paper cites Q-insight: Understanding image qual- ity via visual reinforcement learning.Advances in Neural Information Processing Systems, 38:36802–36827, 2026.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Q-insight: Understanding image qual- ity via visual reinforcement learning.Advances in Neural Information Processing Systems, 38:36802–36827, 2026

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.194840Z

Source-reported events for the cited work

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Observation 930681c8-bb21-4dca-8417-c01ea6c37764 · outbound

This paper cites Guiding perception-reasoning closer to human in blind image quality assessment.arXiv preprint arXiv:2512.16484, 2025.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Guiding perception-reasoning closer to human in blind image quality assessment.arXiv preprint arXiv:2512.16484, 2025

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.606736Z

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Observation 475096b1-3c87-478d-b7e5-2a954562bdaf · outbound

This paper cites Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-10T02:19:34.213243Z

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Observation 2c9da882-73e2-4472-9246-469fa29fff44 · outbound

This paper cites Kadid-10k: A large-scale artificially distorted iqa database.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Kadid-10k: A large-scale artificially distorted iqa database

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.192345Z

Source-reported events for the cited work

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Observation e9641a64-05ea-4822-8d47-ed0320e4464d · outbound

This paper cites Rankiqa: Learning from rankings for no-reference image quality assessment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Rankiqa: Learning from rankings for no-reference image quality assessment

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.188419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26eebd1a-ee04-47b5-afe3-ee9f44ece2ea · outbound

This paper cites Decoupled Weight Decay Regularization.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Decoupled Weight Decay Regularization

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:45:35.603925Z

Source-reported events for the cited work

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Observation 717217a8-c966-4b9c-8dc8-4120e8c4922a · outbound

This paper cites dipiq: Blind image quality assessment by learning-to-rank discriminable image pairs.IEEE Transac- tions on image processing, 26(8):3951–3964, 2017.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment dipiq: Blind image quality assessment by learning-to-rank discriminable image pairs.IEEE Transac- tions on image processing, 26(8):3951–3964, 2017

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.165735Z

Source-reported events for the cited work

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Observation 02353a17-a020-42e0-b373-9057e34fde99 · outbound

This paper cites No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12): 4695–4708, 2012.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12): 4695–4708, 2012

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.179902Z

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Observation 48b84d79-bc95-4882-8cb0-03769e5c1607 · outbound

This paper cites completely blind.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment completely blind

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.212674Z

Source-reported events for the cited work

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Observation 2dbded57-7bbe-4eb3-83c1-25b5dd1e6a20 · outbound

This paper cites Controllable List-wise Ranking for Universal No-reference Image Quality Assessment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Controllable List-wise Ranking for Universal No-reference Image Quality Assessment

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.578945Z

Source-reported events for the cited work

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Observation a788b54a-4454-4e34-856f-f570534fb62b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:45:35.581898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c977cd26-395a-4f4e-ab3d-ade7428ad207 · outbound

This paper cites Nima: Neural image assessment.IEEE transactions on image processing, 27(8): 3998–4011, 2018.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Nima: Neural image assessment.IEEE transactions on image processing, 27(8): 3998–4011, 2018

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.217807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d4f3b7e-2762-4176-8c5c-ff532e19ffde · outbound

This paper cites Rank-smoothed pairwise learning in per- ceptual quality assessment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Rank-smoothed pairwise learning in per- ceptual quality assessment

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.205371Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c036b3a9-b122-4281-84ea-03342f351df8 · outbound

This paper cites A law of comparative judgment.Psy- chological review, 101(2):266, 1994.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment A law of comparative judgment.Psy- chological review, 101(2):266, 1994

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.216978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c4e64c8-1db3-4e56-9a3c-4b0d7a7c7758 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Ex- ploring clip for assessing the look and feel of images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.210874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 280a6ac6-e21a-44d1-8817-01b7b891fdf1 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:45:35.584657Z

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Observation 60613ea1-0877-47ed-9f0e-fbc74d2c7297 · outbound

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

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Q-instruct: Improving low-level visual abilities for multi-modality foundation models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.218817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5e9f12d-e2c8-4838-bc64-2dadd504ff38 · outbound

This paper cites Visualquality-r1: Reasoning-induced image quality assess- ment via reinforcement learning to rank.Advances in Neural Information Processing Systems, 38:88167–88190, 2026.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Visualquality-r1: Reasoning-induced image quality assess- ment via reinforcement learning to rank.Advances in Neural Information Processing Systems, 38:88167–88190, 2026

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.161405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f115153-a2b0-47b1-a396-ab0b5648a1f1 · outbound

This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.184060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c14c6f41-0e1d-4a4a-8b13-ccd42e3cc908 · outbound

This paper cites Depicting beyond scores: Advanc- ing image quality assessment through multi-modal language models.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Depicting beyond scores: Advanc- ing image quality assessment through multi-modal language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.197236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8da51c3-bfd5-41dd-93dc-56f1d014dc26 · outbound

This paper cites Teaching large language models to regress accurate image quality scores using score distribution.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Teaching large language models to regress accurate image quality scores using score distribution

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.219742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e6a151b-e52a-4387-b5e7-37153146c384 · outbound

This paper cites Blind image quality assessment using a deep bilinear convolutional neural network.IEEE Transactions on Cir- cuits and Systems for Video Technology, 30(1):36–47, 2018.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Blind image quality assessment using a deep bilinear convolutional neural network.IEEE Transactions on Cir- cuits and Systems for Video Technology, 30(1):36–47, 2018

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.220776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d97b0a35-b918-4550-9398-e68b819657d1 · outbound

This paper cites Reasoning as representation: Rethinking visual reinforcement learning in image quality assessment.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Reasoning as representation: Rethinking visual reinforcement learning in image quality assessment

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.587515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e4f6c32-89a3-4f07-84bf-ab1dfe4fe36e · outbound

This paper cites Thurstone- style.

MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Thurstone- style

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:22:39.222534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.