Paper Citation Record · LEDGER

Spatially Localized Image Degradation Embeddings for Image Quality Assessment

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.29162.

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

pith.paper-citation-record.v1
2606.29162 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T08:00:15.468841Z

measured 40 of 40 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 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

40 of 40 outbound references displayed

verified exact5
verified fuzzy32
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11846bab-5915-45ed-955f-b197d87faf34 · outbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Arniqa: Learning distortion manifold for image quality assessment

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.452471Z

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.

Observation 16f5bdca-d631-4a5f-b876-3ec2bfc859e2 · outbound

This paper cites An empirical study of training self-supervised vision transformers.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment An empirical study of training self-supervised vision transformers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.673102Z

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.

Observation 1ef4b04f-5737-4a3c-9d8c-e95394f27178 · outbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Imagenet: A large-scale hierarchical image database

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.054227Z

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.

Observation f4725431-f698-42bc-be80-483c55f0a5b5 · outbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:04:28.084971Z

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.

Observation bbdbef3d-2164-4de7-affa-311b0f6f51b3 · outbound

This paper cites Perceptual quality assessment of smartphone photography.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Perceptual quality assessment of smartphone photography

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.548707Z

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.

Observation 6f30a189-af48-4646-8e03-caf6bf94d8fe · outbound

This paper cites Massive online crowdsourced study of subjective and objective picture quality.IEEE Trans.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Massive online crowdsourced study of subjective and objective picture quality.IEEE Trans

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.774925Z

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.

Observation fc1c3696-ddfa-4b30-83fe-27ddad916fca · outbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment No-reference image quality assessment via transformers, relative ranking, and self-consistency

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.746485Z

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.

Observation cf318ef9-57e7-4893-8607-1f240c599a34 · outbound

This paper cites A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms.IEEE Trans.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms.IEEE Trans

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.819470Z

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.

Observation 9634b9e2-7ad7-4cd9-960f-82f050112ead · outbound

This paper cites Deep residual learning for image recognition.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Deep residual learning for image recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.391857Z

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.

Observation ce4b6f36-b153-47f2-af25-bbf123117b4d · outbound

This paper cites KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Trans.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Trans

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.738792Z

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.

Observation c98e8089-7617-4552-b202-a9e3848bb3a0 · outbound

This paper cites Decoupled Weight Decay Regularization.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Decoupled Weight Decay Regularization

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:04:28.087437Z

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.

Observation a88463de-3e75-4f7d-ac23-cc63792509a5 · outbound

This paper cites MUSIQ: Multi-scale Image Quality Transformer.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment MUSIQ: Multi-scale Image Quality Transformer

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.090260Z

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.

Observation 88c19eec-dc48-4edb-9db8-72704ad0cc4e · outbound

This paper cites Most apparent distortion: Full-reference image quality assessment and the role of strategy.J.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Most apparent distortion: Full-reference image quality assessment and the role of strategy.J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.804330Z

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.

Observation 4a92ab9b-6af0-4952-892b-56cd8c8acf9c · outbound

This paper cites Distilling spatially-heterogeneous distortion perception for blind image quality assessment.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Distilling spatially-heterogeneous distortion perception for blind image quality assessment

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.511424Z

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.

Observation ea39c044-5990-45e7-8a93-0000f8c1051b · outbound

This paper cites KADID-10k: A large-scale artificially distorted IQA database.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment KADID-10k: A large-scale artificially distorted IQA database

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.421763Z

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.

Observation e94d8b4d-d0b1-404a-ac86-959edbd09266 · outbound

This paper cites DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.077069Z

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.

Observation 90ee1b94-2f5a-4fec-a8ed-9da2586f48cb · outbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Rankiqa: Learning from rankings for no- reference image quality assessment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.707243Z

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.

Observation 26d31635-9c9b-4409-b3a3-c39ee439f14d · outbound

This paper cites A convnet for the 2020s.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment A convnet for the 2020s

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.764287Z

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.

Observation 719229df-0a71-4a20-a0bf-29600f602b13 · outbound

This paper cites Image Quality Assessment Using Contrastive Learning.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Image Quality Assessment Using Contrastive Learning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:04:27.840173Z

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.

Observation 5c589357-1f6e-4eb4-b691-daedfecab47b · outbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12):4695–4708, 2012

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.900664Z

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.

Observation 8dc9913b-81cc-498a-b612-c39f4843d4ae · outbound

This paper cites completely blind.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment completely blind

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.663404Z

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.

Observation 076c8bcf-05f7-4b4d-9b2a-1958dda0e278 · outbound

This paper cites Blind image quality assessment: From natural scene statistics to perceptual quality.IEEE transactions on Image Processing, 20(12):3350–3364, 2011.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Blind image quality assessment: From natural scene statistics to perceptual quality.IEEE transactions on Image Processing, 20(12):3350–3364, 2011

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.717544Z

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.

Observation 551aa3b9-143d-4cd4-9033-73c7b5f5640e · outbound

This paper cites Image database TID2013: Peculiarities, results and perspectives.Signal Process.: Image Commun., 30: 57–77, 2015.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Image database TID2013: Peculiarities, results and perspectives.Signal Process.: Image Commun., 30: 57–77, 2015

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.636394Z

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.

Observation 9382e8cd-fb68-4ffc-8675-fadd38062923 · outbound

This paper cites Blind image quality assessment: A natural scene statistics approach in the DCT domain.IEEE Transactions on Image Processing, 21(8):3339–3352, 2012.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Blind image quality assessment: A natural scene statistics approach in the DCT domain.IEEE Transactions on Image Processing, 21(8):3339–3352, 2012

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.335335Z

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.

Observation 25052f72-7e8f-45bc-a2aa-892800339aeb · outbound

This paper cites Re-iqa: Unsupervised learning for image quality assessment in the wild.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Re-iqa: Unsupervised learning for image quality assessment in the wild

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.245840Z

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.

Observation 2cda4c65-a09b-42e6-8012-aaf33fdd109d · outbound

This paper cites and Bovik, A.C.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment and Bovik, A.C

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.316008Z

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.

Observation 401da963-624e-47b0-b2ab-f3369c8146a6 · outbound

This paper cites DINOv3.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment DINOv3

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T08:04:28.082099Z

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.

Observation 2fea4b68-2433-4d95-bbe6-6d239ce5026f · outbound

This paper cites Learning generalizable perceptual representations for data-efficient no-reference image quality assessment.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Learning generalizable perceptual representations for data-efficient no-reference image quality assessment

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.867248Z

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.

Observation 85835c5d-ac36-4084-a89d-a14090acda20 · outbound

This paper cites Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.834645Z

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.

Observation 7c14cea1-78a9-483e-90a5-90ac3138d3c1 · outbound

This paper cites Triqa: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Triqa: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.405567Z

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.

Observation 45773c19-d52c-4d0b-bd0c-f58f7c0b3942 · outbound

This paper cites and Wu, Chengyang and Bovik, Alan C.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment and Wu, Chengyang and Bovik, Alan C

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.962081Z

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.

Observation 0597469d-88a9-4b1c-a61b-02e368d6ee49 · outbound

This paper cites an unresolved cited work.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-07-11T03:47:55.489406Z

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.

Observation 4e8409a3-3338-4dea-b390-2108d83e818a · outbound

This paper cites Qpt-v2: Masked image modeling advances visual scoring.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Qpt-v2: Masked image modeling advances visual scoring

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.613517Z

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.

Observation a8d2fe91-cf84-47c2-a2ba-25f81fa46349 · outbound

This paper cites Blind image quality assessment based on high order statistics aggregation.IEEE Transactions on Image Processing, 25(9): 4444–4457, 2016.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Blind image quality assessment based on high order statistics aggregation.IEEE Transactions on Image Processing, 25(9): 4444–4457, 2016

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.932643Z

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.

Observation 99efdf99-4478-4687-9001-5cdd9a5d8ac6 · outbound

This paper cites Unsupervised feature learning framework for no-reference image quality assessment.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Unsupervised feature learning framework for no-reference image quality assessment

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.793260Z

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.

Observation 6eab38f8-a6f3-4d3c-abe5-3c7d89ddc07a · outbound

This paper cites From patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment From patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.570463Z

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.

Observation 18a5d1ab-3cca-4ec9-addd-3a98e628dd9e · outbound

This paper cites A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:04:28.079551Z

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.

Observation ca8efd8a-92b3-4b50-adc9-1e3f10118ad6 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment The unreasonable effectiveness of deep features as a perceptual metric

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.541380Z

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.

Observation e58392b7-e5e4-4710-a018-6145953dee93 · outbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment Blind image quality assessment using a deep bilinear convolutional neural network.IEEE Transactions on Circuits and Systems for Video Technology, 30(1):36–47, 2018

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.305296Z

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.

Observation a994cb97-33dc-46a3-afa1-58744173a0f5 · outbound

This paper cites and Sheikh, H.R.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment and Sheikh, H.R

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T03:47:55.183631Z

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.

Pith citing papers

No inbound Pith citation observations are available.