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Paper Citation Record · LEDGER

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2506.18564.

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

pith.paper-citation-record.v1
2506.18564 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:50.914890Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:12:39.225557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:13:59.355009Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7d22578-52ca-4a35-adc4-68ffb622cd4b · outbound

This paper cites , " * write output.state after.block = add.period write newline.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-06T23:20:46.034876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:46.034876Z digest=sha256:ba63d877fd687c1b364261fb358d875507dde29b0891a50eadb031c83be9a95d

Observation 57ed1531-7d24-439f-a557-1abc3dca18a0 · outbound

This paper cites write newline.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning write newline

Reference 2

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no resolver link, observed 2026-08-06T23:20:46.125201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:46.125201Z digest=sha256:b5e5f44ec5d7960fb21b334d9e1dd76c7b5382968f4021571439185596d1b620

Observation 2a064d42-2db7-4fc1-95e4-c588150eb689 · outbound

This paper cites Qwen2.5-VL Technical Report.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Qwen2.5-VL Technical Report

Reference 3

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unresolved
no resolver link, observed 2026-08-06T23:20:46.206855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:46.206855Z digest=sha256:b6705a31cfe643dc2e6fa28f21f8a1f56aa4d8cea1dade5d020ededefa7e0bdf

Observation 9e90c0a3-da55-4ece-8571-19391ec3d170 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 4

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unresolved
no resolver link, observed 2026-08-06T23:20:46.324745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:46.324745Z digest=sha256:88e1ddc013a55b2b8ad47c9fefe7736bf91807660574595336324eec40334377

Observation 726d5893-e4a3-4db1-a3ec-0837c1f048b2 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-06T23:20:56.055442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:46.404739Z digest=sha256:120fe8d07663f272ed1c0d2c04d330f27c7757c4b6e5820b3ef6192e7558dced

Observation 72e97afb-3b84-4c66-9be8-5d2ca5569986 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 6

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unresolved
no resolver link, observed 2026-08-06T23:20:46.475207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:46.475207Z digest=sha256:faf9927fef810e09a32243bd9449d2fff70366459fd413000c44cd00d41ef0a3

Observation 9fa8968d-3a12-45ad-99b3-44a04cbde637 · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 7

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unresolved
no resolver link, observed 2026-08-06T23:20:46.537789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:46.537789Z digest=sha256:7e68984a728102398a642552d7046bb877b4b4d7695b370654902f619f8ccecd

Observation d17d1cbf-6383-4f8b-9ebd-b8d740528b79 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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no resolver link, observed 2026-08-06T23:20:46.714461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:46.714461Z digest=sha256:44b5e9692d37583a621f6e82d82c9d861e333ca8d19a62c03162f58f5a2cecd3

Observation f527a3e1-c2de-4d6d-ab31-77fc2ecb62fc · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-06T23:20:55.817285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:46.834840Z digest=sha256:12678e81540d9e31b581b136d6a2109e11f3a5ba89bfc0c1dd5a984b683e2414

Observation 5b277eac-3dc4-4613-9cec-7c196714e851 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 10

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no resolver link, observed 2026-08-06T23:20:47.178565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.178565Z digest=sha256:a26a8bab105688afb259c43b6734a26c5936f2fb6a05032bcde9d06ee2c25df6

Observation ea0c8a9b-bb65-49ce-93b0-38e91df7997d · outbound

This paper cites ???? CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning ???? CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T23:20:55.558412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.327330Z digest=sha256:a5fefa821aaf8610990ae8b580d69013b97dc1ae1d7538441a2d5c91a4aa7125

Observation 44a37c3b-de40-4092-8ceb-41304645dff3 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-06T23:20:55.324494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.399752Z digest=sha256:9161e1339625d82b27eec9b034ff90cd7293b5a1a9341914c5b40e668505d565

Observation 058ccd1a-0333-4c36-ba63-9e45d468c43d · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 13

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unresolved
no resolver link, observed 2026-08-06T23:20:47.445443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.445443Z digest=sha256:582d6be557b755868367145c952c9a4f7e5cf263df38b52638b9a2133da20241

Observation 419c97a2-8cdc-4354-9850-e007918b8194 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-06T23:20:47.473832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.473832Z digest=sha256:b123abc04833c3ff7b5259389d1d482fd9b55a42929ba7d260051dfc43141fee

Observation 2e0a3370-f3ec-4442-92b0-407afffc59d6 · outbound

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

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 15

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unresolved
no resolver link, observed 2026-08-06T23:20:47.541955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.541955Z digest=sha256:84856a96dd9ee7ea18da48546a3264095c9ef49f33e321dab6b1135caee6b640

Observation 95ed0bfe-c13f-491e-844b-ef08dfc5a867 · outbound

This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 16

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no resolver link, observed 2026-08-06T23:20:47.615355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.615355Z digest=sha256:993512336cb2947f284c97b084cbb30058d988723020cf74a094d9116f3fde86

Observation 33faa80c-9860-45bb-b6e3-940083f374a6 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-06T23:20:54.995187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.708303Z digest=sha256:7dec74bed9c918d0bc7eacd219e455a40dd1f8e1906c128fa5471cdc5e311bd2

Observation 8114b6c2-c089-4c25-a59c-d1939486774b · outbound

This paper cites T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 18

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no resolver link, observed 2026-08-06T23:20:47.758591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.758591Z digest=sha256:03b2238a2043f5880d6d23ce8d18aa546a6a03d79712cd5e2023b6318fa0d71d

Observation 5905a557-fd8a-45c3-9c65-19082bcbc31a · outbound

This paper cites Q-Insight: Understanding Image Quality via Visual Reinforcement Learning.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 19

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no resolver link, observed 2026-08-06T23:20:47.854754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.854754Z digest=sha256:215d346ef1b667698409a8bddb9ec5eee3b4ce28df539df4147b2c7565a68b05

Observation 90d1e95f-2efd-4e6e-8d45-bc79f7b10f22 · outbound

This paper cites OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation

Reference 20

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verified exact
local_arxiv, observed 2026-08-06T23:20:52.193855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.957053Z digest=sha256:20f8e06cda0b1e2f5db86126715e1fa9c34ac84472d58d75160384f2f4d15fdd

Observation bc52c62a-314b-4112-8e8a-01ecfef893b9 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-06T23:20:54.707987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:48.026258Z digest=sha256:29a65c13816d8359a903394070342e4f5d7e77a98d84bdd32e3574c844bc728b

Observation 32f81466-e3ee-4c2e-a54d-6cdbb81af12c · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Flow-GRPO: Training Flow Matching Models via Online RL

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.115422Z digest=sha256:8f77b1be146ea6f87720dd2595d5f63d4834dc2cf7358bfa46f2103851921207

Observation 8d39e611-204b-4f11-a661-b482ba2fc16c · outbound

This paper cites Improving Video Generation with Human Feedback.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Improving Video Generation with Human Feedback

Reference 23

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no resolver link, observed 2026-08-06T23:20:48.251443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.251443Z digest=sha256:9ae84908ee2a65c5d73d1ddae6284398a9d4e61ac1cf60c49fa612f3fd535b4b

Observation 228c234a-dd81-439e-800e-7c1aa13c6d9f · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-06T23:20:48.357743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.357743Z digest=sha256:e22452d6f978e5f67ba4350b73809d6257ede4a13cb3f23636e45d450d3ec6f1

Observation 1e4e72fb-9e8b-4e99-99ff-5505b068e913 · outbound

This paper cites Video Diffusion Alignment via Reward Gradients.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Video Diffusion Alignment via Reward Gradients

Reference 25

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no resolver link, observed 2026-08-06T23:20:48.464187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.464187Z digest=sha256:55c0186df7330b7ee490f46c77ee1fc67220b8faeb054a640d65925bc9f74ea0

Observation 05b7b061-3fab-4e85-8133-7c4394f41d09 · outbound

This paper cites D.; Ermon, S.; and Finn, C.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning D.; Ermon, S.; and Finn, C

Reference 26

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no resolver link, observed 2026-08-06T23:20:48.512617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.512617Z digest=sha256:f38215dfc27708cc52fda72bbba5d252918f132ef522a0cefcbaf817caff69dd

Observation 65e54edb-3a0e-4a79-a238-2202438e9c86 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 27

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no resolver link, observed 2026-08-06T23:20:48.611580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.611580Z digest=sha256:ab2891eac258f486d764ca01a9a9e909a467cfcf7eeece90370432b362cc6204

Observation 7a350ddc-eb4d-4306-b9ba-5f002ff58577 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-06T23:20:54.442793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:48.705499Z digest=sha256:5bab2a8566680bfe7009a89d12c0c6d6b75e1a3e3fb974ff6cceedc1a812b855

Observation 1d975c29-336a-4b2e-b16c-3620b0f45227 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-06T23:20:54.224808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:48.816758Z digest=sha256:da486962dee7fa3b7e62a98ce52aa9783ee1c4fe7b3fb6337ec7129661311d2d

Observation 6c53a0cc-fab4-433f-b24b-5de4b4fdbe9e · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-06T23:20:48.966376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.966376Z digest=sha256:b5e41d0da12dc13349443c215f07514c0a272dce1484409a3a0be65c3dfbdcff

Observation 34c4fc02-fb6c-40cb-9aab-bcc09f553034 · outbound

This paper cites C.; and Loy, C.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning C.; and Loy, C

Reference 31

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no resolver link, observed 2026-08-06T23:20:49.013257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.013257Z digest=sha256:340fb375b4e39507c4504e4db5f98191ec84ea1593b10f8b990bc8a0890aab41

Observation 80a1ca25-8e72-43a5-b65d-e63649813261 · outbound

This paper cites VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

Reference 32

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unresolved
no resolver link, observed 2026-08-06T23:20:49.109460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.109460Z digest=sha256:504d57231a10f10cf90d7b2cb5c059195f2429778fe26c337d912e495eb7f6e7

Observation e8b3fe93-110b-48d8-a258-8792d34a96ab · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-06T23:20:49.205269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.205269Z digest=sha256:9fd0aaea9018f352880eee1b059c07192c0965b1c931a017805ff72103cc75dd

Observation 05c183fa-f768-4f88-b5e6-19ca219cb2c7 · outbound

This paper cites LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment

Reference 34

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unresolved
no resolver link, observed 2026-08-06T23:20:49.304243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.304243Z digest=sha256:f8a89b65307948f493d8a6074c8fe84c0be7b0e539d42b2ac42f68d9ce9a94b8

Observation 469233a5-9c05-4373-85d7-0a607ed63930 · outbound

This paper cites Unified Reward Model for Multimodal Understanding and Generation.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unified Reward Model for Multimodal Understanding and Generation

Reference 35

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no resolver link, observed 2026-08-06T23:20:49.403192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.403192Z digest=sha256:f24088082dd62fd7282667ac4da70c99d517b37dd9029a0b0da076a7a100cc44

Observation 82d1fde1-9ad7-498c-8751-207872f210f4 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-06T23:20:53.955866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:49.506329Z digest=sha256:98b5b4e4c93db4d4f3835113f674693f585545939cabefeef4c707515b7b8b0b

Observation 6bdf5e8b-3c5d-4660-95a6-539a712df2dc · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.596869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.596869Z digest=sha256:84991680a059f64f8edc613c96acd08cd3e709ef2d2cef437d915a26b2f86885

Observation 93d511e1-802c-4020-a72a-4e3a707fa460 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:20:53.605170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:49.714325Z digest=sha256:0926b68ca954c7da8a5721d11c18a641f898fab0e1bede576adebd81bdf0b380

Observation e30b238b-60c7-4b59-9647-95187937873a · outbound

This paper cites VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Reference 39

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unresolved
no resolver link, observed 2026-08-06T23:20:49.814740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.814740Z digest=sha256:dce341f0605f5471c4e6ada2040bac9231d4487eb3cdca01940c9d97870c8c24

Observation f71d24a9-69a7-4913-9f4e-05eb11f04bc0 · outbound

This paper cites FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 40

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unresolved
no resolver link, observed 2026-08-06T23:20:49.926704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.926704Z digest=sha256:02d7a62a5ab3938f0f38711e1a4b3769c03f64fcbe8e64aa0d9962294b365fdb

Observation 8a8c55ba-be60-4648-a549-e389cfe0b662 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.051949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.051949Z digest=sha256:7e19eb3d70a8c3dd814173cbbb333e3b0b3ca29a62a8b0d209ce01bf1d2ebd9a

Observation 1042a59b-7c37-47eb-b50f-e3ab3ae698da · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.138021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.138021Z digest=sha256:800142eb5d730746f9c816e00f4656f2ede53a87022ec5ddf9a18d32742c5205

Observation b494651f-97b3-4712-87a7-714eac68236a · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:20:53.225447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:50.347076Z digest=sha256:c79f3b439ee67ee56cc5ea5c6136815daf1acfe3d05bf2a88279a3c0e6db78a8

Observation fc25f00f-1b2d-4d34-bc78-81a1b14f14d3 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:20:53.014834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:50.499021Z digest=sha256:6da9c075378b66c2f690ac67f7b5abb626b2414135e8ff56c25582bc0e44fed8

Observation 8ba48dd4-be90-4ddc-a9a8-f549f3cc2a64 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.588397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.588397Z digest=sha256:fa75aa286d154f1b4e550430ff1f8ba73fc9d58a08e4d6f3e221a25f93699e88

Observation 3a5fe645-ac4a-405c-80e3-7fb1d78279f3 · outbound

This paper cites an unresolved cited work.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:20:52.781960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T23:20:50.689699Z digest=sha256:8862ae466de86db8c120ebc0ba3286a7ab7c9f3aea20dc659e7a3a45deb8d458

Observation b045729c-2387-4c2c-b6d5-45117a689e69 · outbound

This paper cites Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.814766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.814766Z digest=sha256:ea4a95553b22bb323cbd6bba13af5c94460965fb34f3f597ba73650e58fc89f2

Observation 599ce168-03ed-4c54-ab8c-6243b06044da · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Open-Sora: Democratizing Efficient Video Production for All

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.914890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.914890Z digest=sha256:1dcc4b448f228d2abdb0c873f3680976be03a2ff1dbf7d08bdbf20cc789402e7

Pith citing papers

Observation 10a5e537-6185-4983-a72b-1e2bb803a4ab · inbound

DRM: Diffusion-based Reward Model With Step-wise Guidance cites this paper.

DRM: Diffusion-based Reward Model With Step-wise Guidance VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:13:59.356640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T22:12:39.225557Z digest=sha256:8ba7f702a9edd9cf1aca337890494f40765c2299667775d61ec3107e2c84610b