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Paper Citation Record · LEDGER

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2412.06003.

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

pith.paper-citation-record.v1
2412.06003 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:10:31.547332Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

71 of 71 outbound references displayed

  • verified exact1
  • verified fuzzy55
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40603010-2bb4-4fc8-b41b-4ae274353f19 · outbound

This paper cites Head-worn displays: a review,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Head-worn displays: a review,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 99b8998e-77c0-46a0-8b08-e3d4f67fc717 · outbound

This paper cites Augmented reality and virtual reality displays: perspectives and challenges,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Augmented reality and virtual reality displays: perspectives and challenges,

Reference 2

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation df1eb042-535e-4329-a0b3-be69757c20f4 · outbound

This paper cites History of augmented reality,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation History of augmented reality,

Reference 3

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Source-reported events for the cited work

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Observation 1a7f92ec-1e73-478d-bcf7-3c3f02f466cd · outbound

This paper cites Deep-based quality assessment of medical images through domain adaptation,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Deep-based quality assessment of medical images through domain adaptation,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 48191757-6228-4cd2-bdf4-cb87fe0747c8 · outbound

This paper cites International Telecommu- nication Union.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation International Telecommu- nication Union

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 61708051-3a13-4e6e-9b1a-e3993ecc2f00 · outbound

This paper cites QUALINET White Paper on Definitions of Immersive Media Experience (IMEx).

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation QUALINET White Paper on Definitions of Immersive Media Experience (IMEx)

Reference 6

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unresolved
no resolver link, observed 2026-08-11T20:10:31.296724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3bd0a00c-d4c0-45a8-8752-0207d2478935 · outbound

This paper cites an unresolved cited work.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 05167f94-0160-472f-9739-02fead75f82b · outbound

This paper cites Research and application of the adaptive model of the human visual sys- tem for improving the effectiveness of objective video quality metrics,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Research and application of the adaptive model of the human visual sys- tem for improving the effectiveness of objective video quality metrics,

Reference 8

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raw_fallback, observed 2026-08-11T20:10:32.372825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.305790Z digest=sha256:3dfa61116a2a5ab815d7f045e9f5f13e6ed2bcca43e96c93ff82ff850ea1577c

Observation b84864ef-8bea-4399-8110-4c90566a7096 · outbound

This paper cites Dashrestreamer: Framework for creation of impaired video clips under realistic network conditions,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Dashrestreamer: Framework for creation of impaired video clips under realistic network conditions,

Reference 9

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raw_fallback, observed 2026-08-11T20:10:32.361283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5e8b99d2-f58b-4e24-a0f9-a0f1eebaa8ba · outbound

This paper cites Iv- psnr—the objective quality metric for immersive video applications,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Iv- psnr—the objective quality metric for immersive video applications,

Reference 10

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raw_fallback, observed 2026-08-11T20:10:32.349549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation abc38aa8-c6ff-44f9-ae5f-ec9355aea455 · outbound

This paper cites A bayesian quality-of-experience model for adaptive streaming videos,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation A bayesian quality-of-experience model for adaptive streaming videos,

Reference 11

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raw_fallback, observed 2026-08-11T20:10:32.337915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7b3f3f6a-14f3-4d61-97fc-6a91adf5004a · outbound

This paper cites Itu-t recommendation g.1036,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Itu-t recommendation g.1036,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.327057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1c93e4e6-5129-4a1b-b7ad-79c0b6cada7e · outbound

This paper cites Objective and subjective quality assessment of 360- degree images,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Objective and subjective quality assessment of 360- degree images,

Reference 13

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raw_fallback, observed 2026-08-11T20:10:32.315684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation df8f00bf-42fa-40a4-92ca-766d3fd39033 · outbound

This paper cites Attentive deep image quality assessment for omnidirectional stitching,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Attentive deep image quality assessment for omnidirectional stitching,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.304415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.328835Z digest=sha256:57c55c4e6e88b41d9f209c7f4fba29a8c6d74329f44c9210ede3343d7f60f72e

Observation 221a0b3e-8adc-4dea-8f7b-62dcdebe7267 · outbound

This paper cites Perceptual Quality Assessment of Omnidirectional Audio-visual Signals.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Perceptual Quality Assessment of Omnidirectional Audio-visual Signals

Reference 15

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verified exact
local_arxiv, observed 2026-08-11T20:10:31.690600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 351e2c43-27d4-411b-87ef-53c5a5ec6b52 · outbound

This paper cites Acr360: A dataset on subjective 360° video quality assessment using acr methods,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Acr360: A dataset on subjective 360° video quality assessment using acr methods,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.292652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e6748346-cb9d-46de-9edb-a2c7b2079483 · outbound

This paper cites Subjective quality assessment of stereoscopic omnidirectional image,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Subjective quality assessment of stereoscopic omnidirectional image,

Reference 17

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raw_fallback, observed 2026-08-11T20:10:32.279850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 10ca084b-2d21-4411-9087-e529205c16aa · outbound

This paper cites Study of 3D virtual reality picture quality,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Study of 3D virtual reality picture quality,

Reference 18

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raw_fallback, observed 2026-08-11T20:10:32.268255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 26824d5f-04e3-4397-b625-e637bbb535ff · outbound

This paper cites 3d22 mx: Performance subjective evalu- ation of 3D/stereoscopic image processing and analysis,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation 3d22 mx: Performance subjective evalu- ation of 3D/stereoscopic image processing and analysis,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.256074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3578f277-59d2-4928-a1c3-90a9332b6a5f · outbound

This paper cites Subjective quality database and objective study of compressed point clouds with 6dof head- mounted display,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Subjective quality database and objective study of compressed point clouds with 6dof head- mounted display,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.242957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.351126Z digest=sha256:3cb3cc33e38a887e160c25214063de9c17cb4e0c4c2cd4d6b3bc4e4f84088446

Observation e289eaf0-0627-4f23-bebd-fea0b55ccca3 · outbound

This paper cites Subjective and objective visual quality assessment of textured 3D meshes,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Subjective and objective visual quality assessment of textured 3D meshes,

Reference 21

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raw_fallback, observed 2026-08-11T20:10:32.229949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.355149Z digest=sha256:6d85acfa309ea0b6ede03a51df55247801936c30cf825983e5bfc39d5cd152a8

Observation cce0e522-98d5-4dd4-b979-90acf23629e7 · outbound

This paper cites Quality evaluation of 3D objects in mixed reality for different lighting conditions,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Quality evaluation of 3D objects in mixed reality for different lighting conditions,

Reference 22

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raw_fallback, observed 2026-08-11T20:10:32.217439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 61714ae5-1b16-4f31-a41b-78e7de5bad97 · outbound

This paper cites Towards subjective quality assessment of point cloud imaging in augmented reality,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Towards subjective quality assessment of point cloud imaging in augmented reality,

Reference 23

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raw_fallback, observed 2026-08-11T20:10:32.204296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.362010Z digest=sha256:d795ea035ea94b6a462c2c3bb41a8223d79bf15a80d92c9266074a71d897f739

Observation fd128616-68c3-4e6d-bba2-78e778fa4803 · outbound

This paper cites Confusing image quality assessment: Toward better augmented reality experience,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Confusing image quality assessment: Toward better augmented reality experience,

Reference 24

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raw_fallback, observed 2026-08-11T20:10:32.192072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.366434Z digest=sha256:3deca68df519d8363222ba734bc41dbfba5a316d694aafd02543a9dd3a01fa4a

Observation 05600ea8-55c3-4906-88e1-22ac7354de47 · outbound

This paper cites Image quality assess- ment: from error visibility to structural similarity,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Image quality assess- ment: from error visibility to structural similarity,

Reference 25

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raw_fallback, observed 2026-08-11T20:10:32.181073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.370073Z digest=sha256:e4e970d2c5054febca3a2c8b3f1fd0235d8262d5506cfff518f3053e960fa73a

Observation 5f33acab-f416-488c-b388-73c846dab25e · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Multiscale structural similarity for image quality assessment,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.168058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.373695Z digest=sha256:b18d56feadb32c3cf0b6f0e9fb0c081d74f945b0b092a191f8a2cb3c9980e72d

Observation 053d6204-24f6-49df-9323-d5546bc2bc94 · outbound

This paper cites Information content weighting for perceptual image quality assessment,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Information content weighting for perceptual image quality assessment,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.155707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.377363Z digest=sha256:62dc40064bb57819905d3b8cd743346e16fab70dd36576c46d5f89b617ed92b9

Observation 14953056-0559-4174-a939-f271594d086c · outbound

This paper cites Fsim: A feature similarity index for image quality assessment,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Fsim: A feature similarity index for image quality assessment,

Reference 28

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unresolved
no resolver link, observed 2026-08-11T20:10:31.381030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.381030Z digest=sha256:ff65c455dc04bf0d97c53aef155a8892da9e78fd1a8aa4972c1c9cf825d579c7

Observation 7e9c2af0-a48e-4c6f-b1c4-0e5222b60d14 · outbound

This paper cites Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.136183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.385730Z digest=sha256:aaccf86966a77107d2cd96953a8c56900d25a9f8c66bf89bcda348d206fc0f08

Observation 2bd26e50-948b-4aeb-a7d2-3ab8232cb60d · outbound

This paper cites Image quality assessment: a sparse learning way,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Image quality assessment: a sparse learning way,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.123353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.389492Z digest=sha256:f16ff0e4c19fc58d63a24603729475dd033ee4c53efc245b3a2878f7bbea5b3f

Observation 77d9a753-41af-40f2-8b20-c307ef27b3f1 · outbound

This paper cites Deep neural networks for no- reference and full-reference image quality assessment,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Deep neural networks for no- reference and full-reference image quality assessment,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.111323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.393139Z digest=sha256:84e586c0d2728f7e2d43de2dfe4cee0b05864414e7b0b402c4baef9445f439d6

Observation 3f49e973-b237-4d42-8e37-f4c74c9b7ad6 · outbound

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

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.098092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.396995Z digest=sha256:00fe6a7a9c5d092dcac1459253dd41b3bc99d6f4e516158c123d97dfef480311

Observation 5b07bd4b-a746-47d4-bf0a-0b72607175d2 · outbound

This paper cites Squeezenet: Alexnet-level accuracy with 50x fewer param- eters and ¡ 0.5 mb model size,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Squeezenet: Alexnet-level accuracy with 50x fewer param- eters and ¡ 0.5 mb model size,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.085645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.400839Z digest=sha256:62ab13ec9d384fea416e8b0ed924efc5a36b1fcf8d3ec8a69f4d43de50a3623c

Observation f6aebd99-9456-4f39-aa13-34bf32ad1952 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Imagenet classification with deep convolutional neural networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.073074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.404436Z digest=sha256:81ef2a5b978679af2987a173293b59177615d5ad7678af9acb8cce6b6a02befc

Observation 5cac6acd-1053-4bf4-8c75-ba3e2c4e99fb · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.408003Z digest=sha256:827fbe4c273f190500ab6013511c055ad680aec601bf3740672e1c776fc13915

Observation a56c4239-bd2d-4831-8938-4c9e3a96e946 · outbound

This paper cites Perceptual image quality assessment with transformers,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Perceptual image quality assessment with transformers,

Reference 36

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raw_fallback, observed 2026-08-11T20:10:32.059872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.412248Z digest=sha256:97dd7fb04d55f5875815dd5b3e6361313cf08979b1cf252ca9260ffe38c89fb4

Observation 26c15e52-e411-465b-8a8a-6de569fbebdf · outbound

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

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation No-reference image qual- ity assessment via transformers, relative ranking, and self-consistency,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.047957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.416571Z digest=sha256:82b1682d2931d21ce3b893f9bde314c8652e3e5df6db058f49cfd80f19c78fb1

Observation 92aea6cb-73a7-4c19-9caf-beb70032aacf · outbound

This paper cites Image quality assessment with transformers and multi-metric fusion modules,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Image quality assessment with transformers and multi-metric fusion modules,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.035420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.420328Z digest=sha256:23b949f73f6908d83b862afb7e6d098717a1b4c81305a038e055fc3d83ed953d

Observation ef4ae526-d435-4b0f-9b25-081efac647f5 · outbound

This paper cites Perceptual video coding based on ssim-inspired divisive normalization,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Perceptual video coding based on ssim-inspired divisive normalization,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:32.021423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.423935Z digest=sha256:aa8ea94e068fec7ee3e30270cc566f48768ca7de7f4ebde9dd2ebb19736ad24a

Observation 0ea8b9a0-b37e-4057-b30f-60cb2dd8cbd2 · outbound

This paper cites Perceptual quality assessment for multi-exposure image fusion,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Perceptual quality assessment for multi-exposure image fusion,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T20:10:31.427947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.427947Z digest=sha256:0bca677be8ce00615dd0a7b0f7a25384f6c327c7e46d72f594c64336c490f728

Observation 439ff66b-37b3-4931-be0c-297934809ecd · outbound

This paper cites Automatic contrast enhancement technology with saliency preservation,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Automatic contrast enhancement technology with saliency preservation,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.998494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.431875Z digest=sha256:17313f18484b7a6c51e40fd7a38ca2df01ba15737e3bd52469b4512f9cbdfb07

Observation 4d13a392-403a-401d-aa50-8baa5a0722de · outbound

This paper cites Image quality assessment based on a degradation model,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Image quality assessment based on a degradation model,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.986145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.435985Z digest=sha256:ab84a1827edc3e7b7af54f5ef5f6e94a75594192e87ef60165fe77b9dd1c5be5

Observation 8fdf3022-23b4-4c84-9e8d-ecf9d013cf38 · outbound

This paper cites Image information and visual quality,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Image information and visual quality,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.973472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.439846Z digest=sha256:c3abb8c2d694ad50f924d441e1f395cce104e6c812dea253e2292f7291db9329

Observation 953a3cbd-088b-4816-81c7-428a51c1a2be · outbound

This paper cites Image quality assessment based on gradient similarity,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Image quality assessment based on gradient similarity,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.960747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.443440Z digest=sha256:ee3d79c299384cbf6d4c981429fae05f3d55968a35732221c3526270528184cf

Observation 238de8da-02d7-495a-b812-92231f67a2b2 · outbound

This paper cites Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.948947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.447570Z digest=sha256:9cd83e0031544a9e14e3b0b8490556fa09189b4b591001be3fbb6d8d96d22572

Observation 746ab756-ecce-4d10-850e-b62b9a79e471 · outbound

This paper cites Perceptual fidelity aware mean squared error,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Perceptual fidelity aware mean squared error,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.937054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.451522Z digest=sha256:54d409c154e8c760865d62cb3d43821103ceb65d3befd429f1107b887793013d

Observation 13f0cdbe-a2bc-4e26-a7b9-63135b6ef178 · outbound

This paper cites An efficient color image quality metric with local-tuned-global model,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation An efficient color image quality metric with local-tuned-global model,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.924633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.455270Z digest=sha256:cc96e1f3a52c1a8de6311c89560e3ed8ba5003b55e2a3a8d4d6c044d1e6a2b17

Observation 78adf6dc-5d31-4118-b13e-6f7e11df36d3 · outbound

This paper cites Vsi: A visual saliency-induced index for perceptual image quality assessment,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Vsi: A visual saliency-induced index for perceptual image quality assessment,

Reference 48

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no resolver link, observed 2026-08-11T20:10:31.458553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.458553Z digest=sha256:aa4a410c2666b9b1cad5b544f91f1c6430f85f8828810b66a57458efa897358d

Observation 7c50949e-1928-4206-9a70-a33a1f4168ab · outbound

This paper cites Deep residual learning for image recognition,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Deep residual learning for image recognition,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.904131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.462008Z digest=sha256:1aad838dec6b8030e96142bef158f7e4e4f6b03119e126371cf4b83efa4ab2b9

Observation 0ac15241-6010-4095-b433-0b38db6e2929 · outbound

This paper cites Influence of affective image content on subjective quality assessment,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Influence of affective image content on subjective quality assessment,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.892114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.465931Z digest=sha256:0a9fdbc857bbdbd68a5f9c4d156b4a3101cd54accedb3e832312b09050e9e4ae

Observation a51df8fd-d8f0-4634-8276-948e62ae5b96 · outbound

This paper cites Do vision transformers see like convolutional neural networks?.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Do vision transformers see like convolutional neural networks?

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.879206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.470111Z digest=sha256:56d7cecb3bfda48bc2851a939feae1db5d99e1f8c8b8c738e5739687bc08ca2b

Observation 62e27590-96be-4186-9947-e7ac49267087 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 52

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no resolver link, observed 2026-08-11T20:10:31.473868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.473868Z digest=sha256:8a1c6808bc57b7d3549ae39bc2a797a1da050fd6ec0d5f8fb9741141d2f2588b

Observation 2c3dc101-7af2-4447-9afa-0181fbe8b9ce · outbound

This paper cites Attention is all you need,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Attention is all you need,

Reference 53

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no resolver link, observed 2026-08-11T20:10:31.477962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.477962Z digest=sha256:dfb2abf7d685ac5694899362040cba9e8c8eef63322ad87239d3d36a05062e16

Observation 9ed5536a-3959-4d3a-bb41-de3f8f59ec24 · outbound

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

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 54

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no resolver link, observed 2026-08-11T20:10:31.481765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.481765Z digest=sha256:6ef6be7ae605135f3061fd4c486febaf699634cb88203950f4df89712e68e1d6

Observation 65cbdc03-e893-4c8b-a156-e88ff104c008 · outbound

This paper cites To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review

Reference 55

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no resolver link, observed 2026-08-11T20:10:31.486317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.486317Z digest=sha256:4c96339f798a1667532182c31f1f0cb5fe1770053b6169cadeb81b0eba1663e5

Observation cfeb1ae4-fc19-4ad2-a68f-b7966d21f0a5 · outbound

This paper cites A Cookbook of Self-Supervised Learning.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation A Cookbook of Self-Supervised Learning

Reference 56

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no resolver link, observed 2026-08-11T20:10:31.490315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.490315Z digest=sha256:adb6168689ac846f7c8c0086314a91533b343b59acc2fbf2f98534c8a50d161a

Observation 6d9a3a50-8806-4abd-8ad4-7284c1afbf93 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation A simple framework for contrastive learning of visual representations,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.858563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.494013Z digest=sha256:bb7534100cf2a86903415c86889f082428278db364f108125ab18f74629754bd

Observation e25e7261-c2f7-4cfc-b5e9-5f525d3b05cc · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Emerging properties in self-supervised vision transformers,

Reference 58

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.846940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.498435Z digest=sha256:8dcf15a3149968cabaf0f218e1b206d099daa3185c291e7a344467f29ff22a8f

Observation d2fba328-cf7f-4f7e-8014-18d33201df4b · outbound

This paper cites Barlow twins: Self- supervised learning via redundancy reduction,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Barlow twins: Self- supervised learning via redundancy reduction,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.833854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.502832Z digest=sha256:6a42140e53a8a832c824acce357be28d37312b69c881811084cb48cc898e6b02

Observation e00b443f-20ad-4a60-8fe0-2c94b0118a64 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 60

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no resolver link, observed 2026-08-11T20:10:31.506343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.506343Z digest=sha256:cbfec5c1ab9cedd50f8dba7f46de0169895786b62de0d03c5e58465fcb69997e

Observation 0b493d68-5d89-4908-a823-6658ad0dbaef · outbound

This paper cites Exploring simple siamese representation learning,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Exploring simple siamese representation learning,

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.820451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.510569Z digest=sha256:b107664be7cd92d4b05087b0c5473bc184a05c500eb38c66983880b8db99b1d2

Observation dd8d8152-2b80-4e2e-9803-33f5cc575a0d · outbound

This paper cites Regularization and variable selection via the elastic net,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Regularization and variable selection via the elastic net,

Reference 62

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no resolver link, observed 2026-08-11T20:10:31.514129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.514129Z digest=sha256:67023af115bc56f86062c6a1630bbf909aa008cde4b259d89699b4fd4789c659

Observation 883d6138-0103-4ca4-8a64-bcd2dea53ad6 · outbound

This paper cites Robust estimation of a location parameter,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Robust estimation of a location parameter,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.797167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.517868Z digest=sha256:7ae5e80c29ef5bf332f0c3872c71b51119d1ed32b52355ff907143ce29a42f16

Observation 23273fc8-2497-4e0d-98c8-8191ae662d51 · outbound

This paper cites Decoupled Weight Decay Regularization.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Decoupled Weight Decay Regularization

Reference 64

Resolution
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no resolver link, observed 2026-08-11T20:10:31.521414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.521414Z digest=sha256:cd4318835d063b14ccafcf285092b3a1d7d17a50c89ed50eeb1e52f1b429930b

Observation 4570e3a5-4b6a-4d89-aabf-b1fd52fef5e9 · outbound

This paper cites Mean deviation similarity index: Efficient and reliable full-reference image quality evaluator,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Mean deviation similarity index: Efficient and reliable full-reference image quality evaluator,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.783368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.525423Z digest=sha256:8ecf0a54b24674b37a540dea404e0145cbcb710001d4c785514ca5517c0fa6b3

Observation aa6aa0e2-d6cb-4e29-93f2-bae86cb55014 · outbound

This paper cites Image quality assessment based on dct subband similarity,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Image quality assessment based on dct subband similarity,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.768952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.529153Z digest=sha256:847ca679ab32156fd16fd5215a266905ee2b6474aa6cf385dff4088c03a9151e

Observation b00446b3-77ab-4ed7-9a8a-9c11f0f5d4c5 · outbound

This paper cites A Haar wavelet-based perceptual similarity index for image quality assessment,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation A Haar wavelet-based perceptual similarity index for image quality assessment,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.756405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.532754Z digest=sha256:40b4e7140bc92c9322eae22098a90e9c709864f08b05f673c26ab21a307e1b41

Observation 1fb12488-2749-4023-a789-d035b64e3be0 · outbound

This paper cites Sr-sim: A fast and high performance iqa index based on spectral residual,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Sr-sim: A fast and high performance iqa index based on spectral residual,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.742880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.536216Z digest=sha256:89b8c3d3a33ffc806886b1b3c13bd2f9e21cda144f3dfdb2df44657ccd273e30

Observation 8582d280-5fa6-4b5a-9d5c-e16c0bed42df · outbound

This paper cites Towards light-weight transformer-based quality assessment metric for augmented reality,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Towards light-weight transformer-based quality assessment metric for augmented reality,

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-11T20:10:31.729637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.539929Z digest=sha256:e4a8fc5aeb628a73f6fab0acfef3ef655b297c317ffdf4b92f265a5d053b5c72

Observation 16f9b107-8d37-4d95-993b-0ff42e820554 · outbound

This paper cites Libsvm: a library for support vector machines,.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation Libsvm: a library for support vector machines,

Reference 70

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raw_fallback, observed 2026-08-11T20:10:31.717845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:10:31.543705Z digest=sha256:22880977c48c74068b29a084323cc33b3d266a7a4fbd3ae3ffa7015fa17e0f77

Observation deea3032-b637-42e0-89e3-a5466ca653c0 · outbound

This paper cites PyTorch Image Quality: Metrics for Image Quality Assessment.

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation PyTorch Image Quality: Metrics for Image Quality Assessment

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T20:10:31.547332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:31.547332Z digest=sha256:622222fd5e2f8d8be3114ff8c4f60b82efa82d5e1d2578120bee63c2b71ba11e

Pith citing papers

No inbound Pith citation observations are available.