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Paper Citation Record · LEDGER

Generalizable Video Quality Assessment via Weak-to-Strong Learning

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2505.03631.

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

pith.paper-citation-record.v1
2505.03631 v5

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:53:30.029266Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:29:05.415710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:00:19.347926Z

Reference resolution

26 of 26 outbound references displayed

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  • verified fuzzy3
  • unresolved23
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External citation measurements

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Outbound references

Observation 145299ab-97f2-4dfa-903c-78fe2df2754a · outbound

This paper cites Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment

Reference 1

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source=pdf_text observed=2026-08-15T23:53:29.082847Z digest=sha256:65a1ffa6e8887ccd381a1dea56758d729932ac21728d3e44553470a33938747b

Observation cc1e2365-6a21-4345-b5d8-705d8f8b2a51 · outbound

This paper cites 14 Technical Report Table 2: Statistics of raw videos and video pairs in theD w2s dataset.

Generalizable Video Quality Assessment via Weak-to-Strong Learning 14 Technical Report Table 2: Statistics of raw videos and video pairs in theD w2s dataset

Reference 2

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source=pdf_text observed=2026-08-15T23:53:29.650714Z digest=sha256:ee8c313a248a92122030340b49fb3c430f26884fc5fa4c076cc1de81ef5d3c5c

Observation be0c32e2-f38e-48d4-ab0c-2e816895430c · outbound

This paper cites Scaling-up Perceptual Video Quality Assessment.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Scaling-up Perceptual Video Quality Assessment

Reference 6

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source=pdf_text observed=2026-08-15T23:53:29.365541Z digest=sha256:3a4613258027cfd1f0d630a4ec70a93b26be6cca2c8b5f827fd0c8e03691d324

Observation bf348aa7-f822-4689-b19d-d45d061d8cf7 · outbound

This paper cites Contrast in complex images.JOSA A, 7(10):2032–2040,.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Contrast in complex images.JOSA A, 7(10):2032–2040,

Reference 10

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source=pdf_text observed=2026-08-15T23:53:29.403933Z digest=sha256:0b4fe5443692ced29cce92af3a548aa54eec9f953a070d9ef7e500ee3c2c685a

Observation ea891411-3b66-41e9-9113-811e52ffaece · outbound

This paper cites Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning

Reference 11

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source=pdf_text observed=2026-08-15T23:53:29.506065Z digest=sha256:5ea68adc5f33d073f201f7c2e5bb6ebd547fea8cc8e8c59532b546832ce20285

Observation 1f68b226-dd6f-4b7b-a03f-cec07d4a39ad · outbound

This paper cites How to analyze paired comparison data.Department of Electrical Engineering University of Washington, Tech.

Generalizable Video Quality Assessment via Weak-to-Strong Learning How to analyze paired comparison data.Department of Electrical Engineering University of Washington, Tech

Reference 12

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source=pdf_text observed=2026-08-15T23:53:29.636218Z digest=sha256:bbf469dce26425d88ea032bc425c3b9c6760511e3931985d5ea3a42c829412c4

Observation e1f1000a-c641-4238-a605-f33af1064d10 · outbound

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

Generalizable Video Quality Assessment via Weak-to-Strong Learning Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 13

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source=pdf_text observed=2026-08-15T23:53:29.641171Z digest=sha256:df25393cc1232d33fa937b5e996498a0b80d506b346e68d3d60f3035a14082c0

Observation e364c7a8-9e9c-4951-972b-36fdccb29ff2 · outbound

This paper cites Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare

Reference 14

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source=pdf_text observed=2026-08-15T23:53:29.646036Z digest=sha256:6f9d090183c8d4a9707e82bbd150a812c501c94617a1716f6a220807cfb264d9

Observation c9c87efe-aff2-4276-b632-5f1dda891985 · outbound

This paper cites an unresolved cited work.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-15T23:53:29.757765Z digest=sha256:d75578c4a4b40b01600164819aae093a093bc9f95557e7ba9d0cc4e7ad344086

Observation 144fcc68-f8dd-451e-9153-facc9ff17f53 · outbound

This paper cites an unresolved cited work.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-15T23:53:29.773488Z digest=sha256:dc3dec83df92940d3d774a2d441d04902fc1e877a5cbd1c0c1b9c09c62522636

Observation 03c60067-345b-4f0c-ba40-a60e8539ea66 · outbound

This paper cites an unresolved cited work.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-15T23:53:29.778459Z digest=sha256:ea0ef816ff56d6bf16f23cd1548ae492f80e40d67e6691f01fe8e7a101903091

Observation f8b5e3f3-edaa-4502-a6eb-2bb433809cb9 · outbound

This paper cites an unresolved cited work.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-15T23:53:29.783845Z digest=sha256:964b184317cd2f2dac155ba16a1bf8ee0f45879fe2d9339764a9dc2975408438

Observation 93d0326e-6cbf-4ce0-ba02-00390e9e58c3 · outbound

This paper cites an unresolved cited work.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-15T23:53:29.911027Z digest=sha256:f6efb6ebfddd714e6554804c4f6c246cb210811753d2ba7c9b22571d717406ff

Observation e49ecab3-31ee-443e-9d0d-a9d266ee604c · outbound

This paper cites Darkening:Darkening is applied by reducing the luminance component in the color space.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Darkening:Darkening is applied by reducing the luminance component in the color space

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:53:30.019758Z digest=sha256:f321e2004e1d49830383800bb0eaae0e696c5e2f5c9ceb2735731f6b4c6295a1

Observation a997c455-5594-4b47-b302-ee8ca18c9222 · outbound

This paper cites We employ a joint training strategy for images and videos.

Generalizable Video Quality Assessment via Weak-to-Strong Learning We employ a joint training strategy for images and videos

Reference 25

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source=pdf_text observed=2026-08-15T23:53:30.024737Z digest=sha256:08829e575181eff3af674aa0be76e3efa3f1d26cb89c01b25f8403a4a60c550d

Observation 8b8ae2e4-fbe2-4d6c-b8e4-91ade1c55580 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Generalizable Video Quality Assessment via Weak-to-Strong Learning LLaVA-OneVision: Easy Visual Task Transfer

Reference 1992

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source=pdf_text observed=2026-08-15T23:53:29.371856Z digest=sha256:816b21d4160f54111ed40a66a9687dc8a6e44328355b407605fa67308bdc443b

Observation 913f55a1-9573-439c-9400-9563f665c78e · outbound

This paper cites VQA$^2$: Visual Question Answering for Video Quality Assessment.

Generalizable Video Quality Assessment via Weak-to-Strong Learning VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 2008

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source=pdf_text observed=2026-08-15T23:53:29.358538Z digest=sha256:cf17964042af353ca87f9a9c0298d5f3983be5d8f0f1e3cf560f6cb7ca8ca44a

Observation b81f5df2-07ba-4463-8b98-9dd9f3ab14c6 · outbound

This paper cites This is formulated as the following convex optimization problem: arg max ˆq X i,j Mi,j log Φ(ˆq(i)−ˆq(j)) − X i ˆq(i) 2 ,s.t.

Generalizable Video Quality Assessment via Weak-to-Strong Learning This is formulated as the following convex optimization problem: arg max ˆq X i,j Mi,j log Φ(ˆq(i)−ˆq(j)) − X i ˆq(i) 2 ,s.t

Reference 2011

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:53:30.029266Z digest=sha256:14303f19841e72060783b2e44efe74fedc9cefaae1c9a71db67e6c15de2a6d86

Observation 99c3072e-8d82-4e1d-9d5a-00ced0769791 · outbound

This paper cites unupdated.

Generalizable Video Quality Assessment via Weak-to-Strong Learning unupdated

Reference 2012

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raw_fallback, observed 2026-08-15T23:53:30.746700Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:53:29.692822Z digest=sha256:3550bed7f31b1b3a654bf75372703f274ab867751877fbef277fc539838d4b32

Observation 9d45aabc-7924-4f49-a07e-ee200d40084f · outbound

This paper cites Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts

Reference 2017

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source=pdf_text observed=2026-08-15T23:53:29.382757Z digest=sha256:768b3a3b2f94a9ef655e1ce2e43d86377924695f0c832d12504236b629987b50

Observation f70bf4e3-8b1a-4e0c-b91b-8943bf521107 · outbound

This paper cites an unresolved cited work.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Unresolved cited work

Reference 2018

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source=pdf_text observed=2026-08-15T23:53:29.762337Z digest=sha256:1ac3f543b306aca9c9292496246b888570b77cd64457d3f9d7f4bfe9da119d87

Observation d9e6a5da-5893-414b-974c-40e0e8e6e49c · outbound

This paper cites an unresolved cited work.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Unresolved cited work

Reference 2019

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source=pdf_text observed=2026-08-15T23:53:29.768317Z digest=sha256:8fff22929bc6f6465eb74be17d6eeb0020f0a0aa98711c22fb2a0e833e6676d8

Observation 1543e3c3-2e10-4681-a5d4-05979154a9af · outbound

This paper cites Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 2021

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source=pdf_text observed=2026-08-15T23:53:29.266810Z digest=sha256:4a9e317845a1b3eff6043f7dc10e3c720f61cbb71e358c8bc2ae0b94c06583ad

Observation ae73a191-b641-4690-b299-3eaa2c9b91cd · outbound

This paper cites Quality assessment of in-the-wild videos.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Quality assessment of in-the-wild videos

Reference 2022

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source=pdf_text observed=2026-08-15T23:53:29.377232Z digest=sha256:c3c725842da776b4ff1335adfb9106913d5a6026978ba0bab3352f29453cf093

Observation ce8e8d5d-004c-41ab-a7ff-f0891a909346 · outbound

This paper cites Vqathinker: Exploring generalizable and explainable video quality assessment via reinforcement learning.arXiv preprint arXiv:2508.06051,.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Vqathinker: Exploring generalizable and explainable video quality assessment via reinforcement learning.arXiv preprint arXiv:2508.06051,

Reference 2023

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source=pdf_text observed=2026-08-15T23:53:29.201888Z digest=sha256:797c7de572e38ee3a16422654d7a9d04c43cda36779ada56e0e17a71e4e1442d

Observation 4d841151-4da8-4fef-afc9-25602ba92827 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Generalizable Video Quality Assessment via Weak-to-Strong Learning Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 2024

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source=pdf_text observed=2026-08-15T23:53:29.131915Z digest=sha256:82e53b600c3ea52b4d8416de233339f8dd2b7c0ce5efd219f1603df6f6e51461

Pith citing papers

Observation 2584eb19-2379-4360-beae-89ead8fbb5e7 · inbound

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation cites this paper.

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation Generalizable Video Quality Assessment via Weak-to-Strong Learning

Reference 4

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source=pdf_text observed=2026-08-06T15:29:05.415710Z digest=sha256:0a0db35ee7db5aa36a30c8cf91f42b1a8854ee4c8c082d0ebbdb0dd8be7d583f

Observation c9c57b84-cbd7-487f-8713-276a7aee29d8 · inbound

Engagement Prediction of Short Videos with Large Multimodal Models cites this paper.

Engagement Prediction of Short Videos with Large Multimodal Models Generalizable Video Quality Assessment via Weak-to-Strong Learning

Reference 3

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local_arxiv, observed 2026-08-06T05:00:19.352915Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:00:14.682142Z digest=sha256:0db16c7997d59158aa3d36e484f25630ddf57fbf1be1ab71369ad0456afc5de6