Paper Citation Record · LEDGER

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2508.10605.

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

pith.paper-citation-record.v1
2508.10605 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:23:00.429763Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:23:00.308440Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:23:00.503489Z

Reference resolution

37 of 37 outbound references displayed

verified exact2
verified fuzzy29
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b115127-9459-4e1d-b241-78c4d07c2829 · outbound

This paper cites DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:23:00.507804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63eb5506-6ec0-42cd-8ca0-f4e5b31ec91e · outbound

This paper cites Slow Pathway.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Slow Pathway

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.785507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29963d3b-2ce1-4045-8201-667532efc38c · outbound

This paper cites an unresolved cited work.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:23:00.777623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c13b745b-8d16-47b8-9679-deab020d2a0c · outbound

This paper cites an unresolved cited work.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:23:00.769567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6df99a5-d717-4401-946a-e8fe2952846e · outbound

This paper cites Tiktok by the numbers,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Tiktok by the numbers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.761492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9429ba4-909f-4f43-8af9-50281d30d07d · outbound

This paper cites Youtube ugc dataset for video compression research,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Youtube ugc dataset for video compression research,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.752478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a960f8f-4577-4da6-b040-f00a44cdedce · outbound

This paper cites Toward a practical perceptual video quality metric,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Toward a practical perceptual video quality metric,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.743555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 183267cc-5573-4264-a95c-eda6d5e07a68 · outbound

This paper cites Patch-vq:’patching up’the video quality problem,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Patch-vq:’patching up’the video quality problem,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.735003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76c2b46e-0b8f-442d-8987-fc47f9fbee24 · outbound

This paper cites Mean squared error: Love it or leave it? a new look at signal fidelity measures,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Mean squared error: Love it or leave it? a new look at signal fidelity measures,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.725739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4874c53-3081-43d2-bd58-fe82385ec65e · outbound

This paper cites Ugc-vqa: Benchmarking blind video quality assessment for user generated content,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Ugc-vqa: Benchmarking blind video quality assessment for user generated content,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.717014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e9c43f0-6142-4493-bdb2-b68889e65c1c · outbound

This paper cites Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.707780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89f3290b-e9fd-4434-a379-20511140471e · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Exploring video quality assessment on user generated contents from aesthetic and technical perspectives,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.698897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0db86f0-7d61-478d-b8e3-65b5707ca99a · outbound

This paper cites Neigh- bourhood representative sampling for efficient end-to-end video quality assessment,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Neigh- bourhood representative sampling for efficient end-to-end video quality assessment,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.690252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bdaa48e-7512-4f30-9176-a83b7940e7de · outbound

This paper cites Blind/referenceless image spatial quality evaluator,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Blind/referenceless image spatial quality evaluator,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.681899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ead2a25-c6ab-4149-8acf-1a02e8698785 · outbound

This paper cites Blind prediction of natural video quality,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Blind prediction of natural video quality,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.673031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5fb4e45-bc89-44cf-a690-9f9d289649ea · outbound

This paper cites Two-level approach for no-reference consumer video quality assessment,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Two-level approach for no-reference consumer video quality assessment,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.663418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc0a2447-690a-4329-b0f5-d5013eddb14a · outbound

This paper cites Quality as- sessment of in-the-wild videos,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Quality as- sessment of in-the-wild videos,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.653327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b563104a-7edc-4260-a854-20bfc353ae52 · outbound

This paper cites Rapique: Rapid and accurate video quality prediction of user generated content,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Rapique: Rapid and accurate video quality prediction of user generated content,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.644833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6203e1d-8ca9-4f22-9548-14f1f43e6198 · outbound

This paper cites End-to- end blind quality assessment of compressed videos using deep neural networks.,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality End-to- end blind quality assessment of compressed videos using deep neural networks.,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.636337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 78487e3e-2e1b-4d61-855d-9da8510ddf4b · outbound

This paper cites A deep learning based no-reference quality assessment model for ugc videos,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality A deep learning based no-reference quality assessment model for ugc videos,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.627551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa0a9e0d-092f-47f2-a072-cea11a70a368 · outbound

This paper cites Discovqa: Temporal distortion-content transformers for video quality assessment,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Discovqa: Temporal distortion-content transformers for video quality assessment,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.618611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3284ed6-47d7-4141-b79e-3669b2ef69f2 · outbound

This paper cites Zoom-vqa: Patches, frames and clips integration for video quality assess- ment,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Zoom-vqa: Patches, frames and clips integration for video quality assess- ment,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.609343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d06d7ee-d664-4ca2-9e84-622e2288fc93 · outbound

This paper cites ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:23:00.494333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5595c4a-4056-4a12-96c0-d38c56761cf4 · outbound

This paper cites Temporal hystere- sis model of time varying subjective video quality,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Temporal hystere- sis model of time varying subjective video quality,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.600617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cb75bfc-59ef-447e-ba99-edff34bcd16d · outbound

This paper cites Long short-term convolutional transformer for no-reference video quality assessment,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Long short-term convolutional transformer for no-reference video quality assessment,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.591102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69ad62a2-46ff-4907-ad97-efa949f4c97c · outbound

This paper cites Conviqt: Contrastive video quality estimator,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Conviqt: Contrastive video quality estimator,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.582113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55a87276-8931-44aa-840a-58966e4f0bad · outbound

This paper cites Scaling and masking: A new paradigm of data sampling for image and video quality assessment,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Scaling and masking: A new paradigm of data sampling for image and video quality assessment,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.573911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8636625-6a23-4e66-a814-eccf1c26a795 · outbound

This paper cites Slowfast networks for video recognition,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Slowfast networks for video recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.564869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17d80e16-9521-48b0-97c8-51e762b79bdc · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.555408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9da23b2d-4d0f-44a2-8004-8a3f86332e13 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:00.406956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3124057c-5edc-4e2f-b84e-d65577701e13 · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Averaging Weights Leads to Wider Optima and Better Generalization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:00.410356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3d9bb4-0a46-4b3e-9703-addb4e94157e · outbound

This paper cites A strong baseline for image and video quality assessment.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality A strong baseline for image and video quality assessment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:00.413584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994de022-c7e4-430c-8a66-28b8693e4496 · outbound

This paper cites Cvd2014—a database for evaluating no-reference video quality assessment algorithms,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Cvd2014—a database for evaluating no-reference video quality assessment algorithms,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.546045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d8403ac-83a4-465e-bde5-674553426ad7 · outbound

This paper cites The konstanz natural video database (konvid-1k),.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality The konstanz natural video database (konvid-1k),

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.536495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 544900cd-1f91-4cc9-83d7-725c54fa156f · outbound

This paper cites Large-scale study of perceptual video quality,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Large-scale study of perceptual video quality,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.526709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd13cd21-bf9a-40d0-b911-d19732e73bc9 · outbound

This paper cites The Kinetics Human Action Video Dataset.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality The Kinetics Human Action Video Dataset

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:00.425921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77e07a39-2752-4003-9311-1cd147dd54c1 · outbound

This paper cites Ima- genet classification with deep convolutional neural networks,.

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality Ima- genet classification with deep convolutional neural networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:00.517435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 3b115127-9459-4e1d-b241-78c4d07c2829 · inbound