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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 21 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 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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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unresolved
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:cfc4b01370646e1ba90aa623094814b405af158b153c3040629e6ce8200e8c45

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=sha256:5b2e03587dccd0176635c1f3272b7164c6f9797445a1d673ca5bf9c666144b88

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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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:cb685a3f407f99b917dbd1eb8c4ddda805c73f8c556372b463e4bd2c5b7a36e5

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:ba605d90239f4b7fbc090d7008c129640e3af02268320102b1d3826914f30239

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:46.404739Z digest=sha256:3a335e51e7bedfb0b3159907c612d025b6fecd4274a0b94da8956dc06fc14399

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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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=sha256:543b3fa64729861059bc010b6c4c6c5e9e717749bd182edd8839db5119445d26

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=sha256:3b9671ce50639a5995d0ce39c4aa2c08ea88bedfcd23b929ade00e2cbc53ccb7

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=sha256:67ef929e48593a4ff36a5c12e3be9491223929f071b722e7e4ff5ec4119ba9af

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:46.834840Z digest=sha256:57a0ead8f08b2996d9b5892b6e506eb02d47f665e81a9ab4d6c43d6919e3b7c1

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=sha256:6ffaaddc72c34bf035fb3b447ea9671da3bc4d4f80dfcc5d7ae0c037e204d90f

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.327330Z digest=sha256:5dc8eb1a4bef18b2116985839beb57223241ced09c7d461f7d5a02b86b153477

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.399752Z digest=sha256:4d86ec9bef3415d23e5ec4a818681b23cdfbc292d7f0b727f4fc444ee851fe41

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.445443Z digest=sha256:c1868eaf2111e43458e8983f388d2ba8404c05f3bdcce8107e765b13567713e6

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=sha256:65659760218a407dff1344df3a0c4fe3b582afa4118b33a1166e18d7a5236d5d

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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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=sha256:138840789223ad551ee755982a1648dba48c0ac93da98fc747deaf608435f544

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=sha256:670a12deec289dd09e26db52a02858309ae80c2a1e04b53e04f1129a54329463

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.708303Z digest=sha256:051e7ec09367856af5483eaea5de693fe29c6c0b28f8118ffbbc5a3f1ee78137

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=sha256:7c0047443974e9b3e87dddfab07418addaf1a2e9536d854d2553b633e173c912

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=sha256:795845bfd1fd6d8742be5b09e458edb1d4d12b3ce5f8e66b28f5348ff953f23b

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:47.957053Z digest=sha256:887aabb02fb053fea8109466d1e1095ec01651d0efa24f6d84e83d83433c4c60

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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unresolved
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:48.026258Z digest=sha256:6fdb817d67118d0750e3015df622e196eb98d92b4138596634728ba282836e7c

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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no resolver link, observed 2026-08-06T23:20:48.115422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:48.115422Z digest=sha256:d333cb957a41502bbeaa24e17125e8dc9dfe781d3f0817f5f7b850f760297d83

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=sha256:36b69e1033ae65666188f43a073a5aa6b4afce69766dcd623bb3d20a5a03c14c

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:a092fa3d1139ea0fedae9110c693d3ae1e3e0d0b2dd612626da24c3804289579

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=sha256:0b6665393c3ee9f0444d94cf6d4ffce2a11d9c878b6c62872d879cc077ec03de

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:b5552713233e5e2ae0d4dc5becf6d34c46ea9b6f0cd431532d017eb7559c9df1

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=sha256:6875feff6aa9449b941dc26c7570cbb6747e084c7280694825f622c83879ff90

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:48.705499Z digest=sha256:91206722904a394f8c2ac0c2ae466b681ce4581c9bea2a177915ff0599ec52e2

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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unresolved
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:48.816758Z digest=sha256:fbba401e3dfdab2a8f79068ce809cf4c02aea3fddcb606dfe35b8a22a5920d51

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=sha256:361bc81dda7f6fb31e6ac9c1b6e8a6d596c3fc41113b1ec0d3b43241f04344d1

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:fb840651d7074418e37d42b4977055eef0baa98cf2d39a04bb0f63e5a8283cf3

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:f13c9d1b5b82a658316d4f876b520ed7dfae32be8d56aba955a63088984777de

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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unresolved
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=sha256:595d56f7ad22ebd11acffd2535d12d7b564f8d0a40714e2ff0a1550f17ee0463

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:dceda0660df6965e488defcd1f16333f11efaf734bbc933c3fd1a20f59e2c2bb

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:c838322158896cd7f6cd7b10b0fa26dce5e8037b88818e5d6d33825875c6b614

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:49.506329Z digest=sha256:fabca0316f25ab814eba2550e649d001f8a97e7e9cadc38093402198fda5742d

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

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

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Unavailable: canonical work link unavailable.

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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

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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 2026-08-21T06:32:19.484+00:00.

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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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:49.814740Z digest=sha256:0f8180d31cec650b4b31ad2f9f0194713aa58d2dceab0d134dbf1d30aba4e8bb

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

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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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.051949Z digest=sha256:64d1dfed7f632ae82e406f65e19c17c5bfb8e0d85c8b0d258c874c1d428b7885

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

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

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source=arxiv_source observed=2026-08-06T23:20:50.138021Z digest=sha256:0ba1e963cb7e405fd18d5638abd517e5474ae923c4baf849234cff402ee7a247

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:50.347076Z digest=sha256:5df0e2a8472757446234deeb61029daac0920ef1e052f302b076cc874c525e77

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

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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 2026-08-21T06:32:19.484+00:00.

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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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.588397Z digest=sha256:41138edd159ddc08f0e65fe215ab38b145a17ef7befecb91e27210a8da84f0c4

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:20:50.689699Z digest=sha256:40ea642f82e7638ad8e635d7521f97fc5d139f5213bcfdc46453553797e95209

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

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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:b282e50636ada0338fca4f6a80b16105b34a3624d315cd20b8c9653841b8c0b6

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.914890Z digest=sha256:95842330d98f9d15c5c8c93797d455d814137b57b08c338a7820a9a5c84dfed0

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

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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 2026-08-21T06:32:19.484+00:00.

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