Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:53:00.940969Z
Paper Citation Record · LEDGER
FineVQ: Fine-Grained User Generated Content Video Quality Assessment
As of 17 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 3 inbound Pith citation observations for arXiv:2412.19238.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:20:46.033440Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:09:38.547491Z
Reference resolution
81 of 81 outbound references displayed
- verified exact0
- verified fuzzy64
- unresolved16
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 77f3a586-0546-44f2-aec9-b42539e4a2a7 · outbound
This paper cites GPT-4 Technical Report.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.639373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0f694df-5a03-48b8-8454-1edfe2f44bc5 · outbound
This paper cites Learning generalized spatial-temporal deep feature representation for no-reference video quality as- sessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Learning generalized spatial-temporal deep feature representation for no-reference video quality as- sessment
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.644187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29dcdb4b-31bb-4c8e-8c8f-7a32d4172e16 · outbound
This paper cites Contrastive self-supervised pre-training for video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Contrastive self-supervised pre-training for video quality assessment
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:02.001820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3825a657-0822-4f69-b761-65ac8e270c74 · outbound
This paper cites Unsupervised curriculum domain adapta- tion for no-reference video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Unsupervised curriculum domain adapta- tion for no-reference video quality assessment
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.990733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 51579099-d08d-4373-92e4-86a3447c3991 · outbound
This paper cites X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.656446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e10afe7-1e7f-420c-b329-bcbadc8f8911 · outbound
This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.978591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 902c00fd-8b5b-4b40-b4e3-c40bd9a95928 · outbound
This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.664921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d377d9b-3d4c-4f1a-8075-0f305660fce7 · outbound
This paper cites Flashattention-2: Faster attention with better paral- lelism and work partitioning.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Flashattention-2: Faster attention with better paral- lelism and work partitioning
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.967725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e545445-e32e-42b9-90c2-788a9a17186b · outbound
This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Flashattention: Fast and memory-efficient exact attention with io-awareness
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.955760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ec1e2b66-ac55-4ee8-b5b2-980083eb3943 · outbound
This paper cites an unresolved cited work.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T00:53:01.943215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e125f056-3749-4c1d-9a04-30be9695f682 · outbound
This paper cites Confusing image quality assessment: Toward better augmented reality expe- rience.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Confusing image quality assessment: Toward better augmented reality expe- rience
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.931986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0aeaaa43-4a12-4165-a086-6f99df50ad55 · outbound
This paper cites Develop then rival: A human vision-inspired framework for superim- posed image decomposition.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Develop then rival: A human vision-inspired framework for superim- posed image decomposition
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.921348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 00f496ee-6e7b-430f-b2c1-2b22c12b39e6 · outbound
This paper cites Uniprocessor: A text-induced unified low- level image processor.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Uniprocessor: A text-induced unified low- level image processor
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.910340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f689b35d-1bd9-4492-9f03-69d6c8a55260 · outbound
This paper cites Slowfast networks for video recognition.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Slowfast networks for video recognition
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.898669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fb149c02-e8c6-412b-ba0a-1597205fc04f · outbound
This paper cites LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.697031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f229bbe5-f2ce-49be-8ed9-8241568c2e5d · outbound
This paper cites In- capture mobile video distortions: A study of subjective be- havior and objective algorithms.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment In- capture mobile video distortions: A study of subjective be- havior and objective algorithms
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.886833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f176a073-b59c-417e-b041-e77c86e287cb · outbound
This paper cites an unresolved cited work.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T00:53:01.874467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e472f25c-9a56-4806-b4dc-9c6f79a206c9 · outbound
This paper cites The konstanz natural video database (konvid-1k).
FineVQ: Fine-Grained User Generated Content Video Quality Assessment The konstanz natural video database (konvid-1k)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.863476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 323627ba-012f-45ce-b971-aba066c9d875 · outbound
This paper cites Lora: Low- rank adaptation of large language models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Lora: Low- rank adaptation of large language models
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.852439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e90d33f7-8b21-4288-884f-db9a6b4df6b9 · outbound
This paper cites Bilibili.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Bilibili
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.841385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8afc6da8-e0a8-49b3-972e-d2fbafe4ed13 · outbound
This paper cites Com- pletely blind quality assessment of user generated video con- tent.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Com- pletely blind quality assessment of user generated video con- tent
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.829851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7c493f46-9fe3-4728-8e18-3e92f450794c · outbound
This paper cites Two-level approach for no-reference con- sumer video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Two-level approach for no-reference con- sumer video quality assessment
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.818983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7585787d-162e-40d0-bee2-56add8c07f4f · outbound
This paper cites Llava-next: What else influences visual instruction tun- ing beyond data?, 2024.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Llava-next: What else influences visual instruction tun- ing beyond data?, 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.807709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 621b26d5-a39c-434f-8361-e6d098939ddd · outbound
This paper cites Quality as- sessment of in-the-wild videos.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Quality as- sessment of in-the-wild videos
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.796102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e1edf536-4d25-4e2b-a827-0f644ea5015d · outbound
This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.784112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ac23e0c9-620f-41b0-9c07-025bf4d96372 · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.772618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d69d7d3a-0780-4607-bb58-ae1b58581cee · outbound
This paper cites Mvbench: A comprehensive multi-modal video understand- ing benchmark.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Mvbench: A comprehensive multi-modal video understand- ing benchmark
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.761508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 180e9a8a-92ac-4687-9855-2e0159be0373 · outbound
This paper cites Ugc-video: Perceptual quality assess- ment of user-generated videos.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Ugc-video: Perceptual quality assess- ment of user-generated videos
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.750431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 10c8bd75-9469-46de-8257-be7eac999473 · outbound
This paper cites Exploring the ef- fectiveness of video perceptual representation in blind video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Exploring the ef- fectiveness of video perceptual representation in blind video quality assessment
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.738319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 387e1905-df6a-480a-a8d0-ea1794df03ba · outbound
This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.753811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb8ebd40-1481-4538-8673-46481dddd80f · outbound
This paper cites Improved baselines with visual instruction tuning.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Improved baselines with visual instruction tuning
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.725596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 53a19bbf-8745-4b00-b009-8da698814b90 · outbound
This paper cites Visual instruction tuning.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Visual instruction tuning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.714283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e6bb32c8-9cc3-400d-955d-14a2dca53f40 · outbound
This paper cites Spatiotemporal representation learning for blind video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Spatiotemporal representation learning for blind video quality assessment
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.702596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbfcbc23-8912-4db2-95e2-113b5a6bfab1 · outbound
This paper cites An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.769440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa19a894-a53b-40b0-9f72-8563f2334d0e · outbound
This paper cites Kvq: Kwai video quality assessment for short-form videos.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Kvq: Kwai video quality assessment for short-form videos
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.691260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6c145907-3783-447c-a588-fda6defa5ded · outbound
This paper cites Video-chatgpt: Towards detailed video understanding via large vision and language models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Video-chatgpt: Towards detailed video understanding via large vision and language models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.680094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e7011e00-2732-4bc8-ba57-bf53297a8511 · outbound
This paper cites Perceptual video quality assessment: A sur- vey.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Perceptual video quality assessment: A sur- vey
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.780588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a23c40a8-1a3d-4b09-b723-15e18879d028 · outbound
This paper cites Multiview con- trastive learning for completely blind video quality assess- ment of user generated content.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Multiview con- trastive learning for completely blind video quality assess- ment of user generated content
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.661418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a46c74e7-653f-403f-a073-c6ad53e2f745 · outbound
This paper cites completely blind.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment completely blind
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.650051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 879bb9d7-c602-48ab-9d93-9e709e333af3 · outbound
This paper cites A com- pletely blind video integrity oracle.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment A com- pletely blind video integrity oracle
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.639287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c93c115c-627a-447d-a301-bc0276988a1c · outbound
This paper cites Video quality assess- ment on mobile devices: Subjective, behavioral and objec- tive studies.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Video quality assess- ment on mobile devices: Subjective, behavioral and objec- tive studies
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.628084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7426f9d8-5ceb-4f4b-8e1c-118cccb49ad6 · outbound
This paper cites Cvd2014—a database for evaluating no-reference video quality assess- ment algorithms.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Cvd2014—a database for evaluating no-reference video quality assess- ment algorithms
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.616724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 58e347f1-027f-40d5-aca5-e55888d02381 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Learn- ing transferable visual models from natural language super- vision
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.605180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a8c4f557-16ca-484b-a78a-5d07006a1541 · outbound
This paper cites Blind prediction of natural video quality.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Blind prediction of natural video quality
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.594081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a6bb2013-8bf8-4c4f-b977-36c85ffdabb2 · outbound
This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.582813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 589cb920-f45e-445b-a320-21d02e9433d6 · outbound
This paper cites Methodology for the subjective assessment of the quality of television pictures.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Methodology for the subjective assessment of the quality of television pictures
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.571704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 568065d9-216e-44b3-864a-b27d0acb1d8e · outbound
This paper cites Study of subjective and objective quality assessment of video.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Study of subjective and objective quality assessment of video
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.560462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fcdad36b-b88d-40bf-9b0e-1da2f8f47eeb · outbound
This paper cites Large-scale study of perceptual video quality.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Large-scale study of perceptual video quality
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.549516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f45ffe04-9c29-4745-8677-0e094f282498 · outbound
This paper cites A deep learning based no-reference quality assessment model for ugc videos.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment A deep learning based no-reference quality assessment model for ugc videos
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.537617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2384d83c-730d-4606-8c20-dd9e316d5c17 · outbound
This paper cites Analysis of video quality datasets via design of minimalistic video quality models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Analysis of video quality datasets via design of minimalistic video quality models
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.525452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4c36f101-ce1a-423e-b47a-9d852a5dd0b3 · outbound
This paper cites Internlm: A multilingual language model with progressively enhanced capabilities, 2023.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Internlm: A multilingual language model with progressively enhanced capabilities, 2023
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.513744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 85fdb95b-c4a5-474d-b929-b88ac576c02c · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment LLaMA: Open and Efficient Foundation Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.835397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5726237-06f1-4b34-9046-96912dd19d8a · outbound
This paper cites Ugc-vqa: Benchmarking blind video quality assessment for user generated content.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Ugc-vqa: Benchmarking blind video quality assessment for user generated content
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.500821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4234868e-00cb-41be-a7bb-970712659fbf · outbound
This paper cites Rapique: Rapid and accurate video quality prediction of user generated content.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Rapique: Rapid and accurate video quality prediction of user generated content
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.488676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b2e26fcc-9a84-4406-902d-05e2c0e5f372 · outbound
This paper cites Mcl-jcv: a jnd-based h.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Mcl-jcv: a jnd-based h
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.476070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 15a67e2c-a96b-4e8b-b16a-9c76d4ce8cd5 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.849380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55e6e3d4-df63-4c36-a992-5c675e2d3d51 · outbound
This paper cites Youtube ugc dataset for video compression research.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Youtube ugc dataset for video compression research
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.464033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 209434fc-2483-440f-b9c6-e561b9c1257a · outbound
This paper cites Rich features for perceptual quality assessment of ugc videos.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Rich features for perceptual quality assessment of ugc videos
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.452831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9d1cc595-f9ad-459b-9919-080c8815351a · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Chain-of-thought prompting elicits reasoning in large lan- guage models
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.860543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4a3d2b9-0a65-44c7-b5ee-6e5d0e58fedf · outbound
This paper cites Fast- vqa: Efficient end-to-end video quality assessment with frag- ment sampling.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Fast- vqa: Efficient end-to-end video quality assessment with frag- ment sampling
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.433480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 46599271-bb9c-4a6d-9a56-0a327b6bbf8d · outbound
This paper cites Neigh- bourhood representative sampling for efficient end-to-end video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Neigh- bourhood representative sampling for efficient end-to-end video quality assessment
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.422252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 07c68999-77a5-488e-8bf5-747d565845f9 · outbound
This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.409669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6d3bd3cd-3877-4468-b2f5-89095c4bf4e8 · outbound
This paper cites Towards explainable in-the-wild video quality assess- ment: a database and a language-prompted approach.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Towards explainable in-the-wild video quality assess- ment: a database and a language-prompted approach
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.398735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 077dcd25-3b03-4681-9346-a2316d12db6f · outbound
This paper cites Q-bench: A benchmark for general-purpose foundation models on low-level vision.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Q-bench: A benchmark for general-purpose foundation models on low-level vision
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.388242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e9ff86e1-b0ef-4986-8463-d5ef31b44700 · outbound
This paper cites Q-instruct: Improving low- level visual abilities for multi-modality foundation models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Q-instruct: Improving low- level visual abilities for multi-modality foundation models
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.377406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0db6cffa-2b86-4fd7-8315-4ab42f824c59 · outbound
This paper cites Q-align: Teaching lmms for visual scoring via discrete text-defined levels.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Q-align: Teaching lmms for visual scoring via discrete text-defined levels
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.366465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a473b8bf-920e-42f5-adee-759e26e4ad27 · outbound
This paper cites No-reference video quality assessment with heterogeneous knowledge ensemble.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment No-reference video quality assessment with heterogeneous knowledge ensemble
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.355761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 320d747b-ab3b-4ba9-93bb-f4d32336120f · outbound
This paper cites Blind image quality assessment based on high order statistics aggregation.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Blind image quality assessment based on high order statistics aggregation
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.344524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c96d19db-8000-427f-b0de-5553421ec5b4 · outbound
This paper cites Learning with- out human scores for blind image quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Learning with- out human scores for blind image quality assessment
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.333794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c34f2ed9-59f0-4ab3-8227-9f7cff8899de · outbound
This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.900121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1e3092a-f850-4933-bae5-d2e6bc9d3c24 · outbound
This paper cites mplug- owl2: Revolutionizing multi-modal large language model with modality collaboration.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment mplug- owl2: Revolutionizing multi-modal large language model with modality collaboration
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.322766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6de44ba3-951d-456c-8ab3-a7a3d41bdb60 · outbound
This paper cites Patch-vq:’patching up’the video quality problem.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Patch-vq:’patching up’the video quality problem
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.310748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e0549068-df9e-4402-b385-77165067a244 · outbound
This paper cites Long short-term convolutional transformer for no-reference video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Long short-term convolutional transformer for no-reference video quality assessment
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.299741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c6d7878c-1983-4df2-8213-9d6a8770b364 · outbound
This paper cites Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.914905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f42f8c19-e639-44ac-b3ff-05ea7f06f1ec · outbound
This paper cites Descriptive image quality assessment in the wild.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Descriptive image quality assessment in the wild
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:53:00.918774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d19aad3-6fe7-4e68-bfec-e517c79cbf6b · outbound
This paper cites Predicting the quality of compressed videos with pre-existing distortions.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Predicting the quality of compressed videos with pre-existing distortions
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.286888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b6677f7a-dfb8-48ae-a919-5c299a66495e · outbound
This paper cites Subjective and objective analysis of streamed gaming videos.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Subjective and objective analysis of streamed gaming videos
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.274332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8a7252d5-c45f-471a-9870-b57fdf157bd5 · outbound
This paper cites Capturing co-existing distortions in user- generated content for no-reference video quality assessment.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Capturing co-existing distortions in user- generated content for no-reference video quality assessment
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.262460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 00f362a7-97b2-427e-9367-d0ba303a435c · outbound
This paper cites Md-vqa: Multi-dimensional quality assessment for ugc live videos.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Md-vqa: Multi-dimensional quality assessment for ugc live videos
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.249293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6f265a3-8fc4-4a57-927a-680b4d0ba045 · outbound
This paper cites A completely blind video quality evaluator.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment A completely blind video quality evaluator
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:53:01.237783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3abd6362-762d-4446-8de9-2f445d61e2ae · outbound
This paper cites Bad, Poor, Fair, Good and Excellent.
FineVQ: Fine-Grained User Generated Content Video Quality Assessment Bad, Poor, Fair, Good and Excellent
Reference 81
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T00:53:01.225236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation 05d12e5b-64d6-466d-a3a6-0c82e051b028 · inbound
NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results cites this paper.
NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results FineVQ: Fine-Grained User Generated Content Video Quality Assessment
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:20:46.033440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cde9eb70-cf40-4b76-a9b0-568517b381e5 · inbound
Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model cites this paper.
Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model FineVQ: Fine-Grained User Generated Content Video Quality Assessment
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:40:44.132814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c70d6b31-1c49-42b9-8363-dbe5b5232d06 · inbound
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment cites this paper.
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment FineVQ: Fine-Grained User Generated Content Video Quality Assessment
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:09:38.594251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.