Paper Citation Record · LEDGER

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2507.01255.

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

pith.paper-citation-record.v1
2507.01255 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:03:04.659589Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:17:30.010064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:21:28.590658Z

Reference resolution

64 of 64 outbound references displayed

verified exact1
verified fuzzy1
unresolved61
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbbd563e-ec74-4f37-8317-4799641f3826 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:59.649122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae55ebc0-a6f1-4d91-989a-2cd303e97666 · outbound

This paper cites Qwen2.5-VL Technical Report.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Qwen2.5-VL Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:59.696652Z

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Observation 0d94dda2-73b6-48a9-bdc4-86314dda94a2 · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation VideoPhy: Evaluating Physical Commonsense for Video Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:59.785059Z

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Observation 4890cf75-ef80-4461-a0a5-40f9dd2c9e98 · outbound

This paper cites A Note on the Inception Score.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation A Note on the Inception Score

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:59.863704Z

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Observation 0be5a196-af79-4a4c-8de7-e80c95fa093b · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 5

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2607711-8902-49cc-ac9b-90d0be7f7152 · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.067911Z

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Observation 95f6ea13-cb89-43c9-b5c1-0b6d1f81f769 · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df99ce7b-85a4-4500-8458-02206b779973 · outbound

This paper cites FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.206287Z

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Observation aed5999e-88d2-43a9-91ed-6fdd9febd152 · outbound

This paper cites GAIA: Rethinking Action Quality Assessment for AI-Generated Videos.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.280145Z

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Observation 4375910f-de56-4c2b-a6fa-eaeae78e9265 · outbound

This paper cites SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.388505Z

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Observation 3f23ee12-5280-418d-a9f6-20e8a8ca6a1e · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:05.913387Z

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Observation 276afe5c-c528-48c8-b47b-90da8af4beae · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:05.906567Z

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Observation 41265d1b-7404-45c9-9211-d0360f309b33 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 13

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Observation 402c126e-f787-4653-afe9-1576a29eff35 · outbound

This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.640203Z

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Observation 2f88634e-8ec3-407f-b77e-e2a0ef87cf73 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.730865Z

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Observation c8ef9538-5c74-4061-85f6-e1fd67e29035 · outbound

This paper cites Video Diffusion Models.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Video Diffusion Models

Reference 16

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Observation ea392ca7-4baf-476d-9aa9-5cd84cd6d310 · outbound

This paper cites TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.879353Z

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Observation b26e608d-5d8e-415d-9b8f-a33390aec125 · outbound

This paper cites VBench: Comprehensive Benchmark Suite for Video Generative Models.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation VBench: Comprehensive Benchmark Suite for Video Generative Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.930314Z

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Observation 7b4d0a9c-8265-4f79-ba94-393d6ca46d76 · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:05.899248Z

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Observation 7f4fd653-6375-4729-b254-52c723f24a50 · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:05.891954Z

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Observation c1ac0209-aed8-4f51-be51-7006c8f71698 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 21

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Observation 005fcb5e-13c4-450f-acd2-ae63d1b1e282 · outbound

This paper cites Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:01.155663Z

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Observation 684a9b40-bdc4-4bf7-b58e-43dff17d0759 · outbound

This paper cites an unresolved cited work.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 23

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Observation ef2fe87d-4d27-4650-80b5-8d47954eb964 · outbound

This paper cites VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

Reference 24

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Observation fc9471a3-dbe4-41d4-a0e3-bc57dd498b85 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:01.386569Z

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Observation 8ab71448-17df-4dc7-9fb0-76f42293e516 · outbound

This paper cites What matters when building vision-language models?.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation What matters when building vision-language models?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:01.482713Z

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Observation aee28718-be48-4b93-8c79-f36454f81bea · outbound

This paper cites Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:01.559421Z

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Observation e00c755e-965c-4a5d-baba-242b3ce242be · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation

Reference 28

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Observation 71e1d68b-15df-4b44-920d-feab10009b62 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 29

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Observation 5a0efb79-cf21-439b-94b3-d8c0f7537392 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 30

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Observation 83d644ee-56e3-4b12-9cef-99ea843bc41a · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model

Reference 31

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Improved Baselines with Visual Instruction Tuning

Reference 32

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

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Observation b9aabf74-faaa-499d-bfd1-46ecf2b681a4 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

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Observation f0119427-a65d-4a60-ac1a-ef8c87b01a66 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

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Observation 1cb6445a-274b-4862-9442-5bd5d34957b1 · outbound

This paper cites EvalCrafter: Benchmarking and Evaluating Large Video Generation Models.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 36

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Observation 88984ed8-2776-40b8-8c93-0f2a2082dd99 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

Reference 38

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 40

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Observation 6f096207-9ff4-4cac-acd4-25a259879528 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

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Observation 2ad4ba2b-9cb3-49c4-b641-82d5346db48e · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

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Observation 9800e58b-903b-4ec2-8bb2-99db716bc8c2 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Make-A-Video: Text-to-Video Generation without Text-Video Data

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 45

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Reference 46

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Towards Accurate Generative Models of Video: A New Metric & Challenges

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Observation b1fcb948-71e6-4194-a8cc-64e9f8e633ee · outbound

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Reference 48

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Comparing the effectiveness between human-generated videos and ai-generated videos on learning

Reference 49

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Observation ef2d80cd-76fa-422a-bc34-722d45da77ae · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:05.797328Z

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Observation 23c7abd2-44bb-4298-a134-8be16ec21e58 · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Bovik, H.R

Reference 51

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Observation 0a260f00-d68f-45bf-a610-f9dc01f934ab · outbound

This paper cites Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessment.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessment

Reference 52

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Observation 30387dab-cdb1-473f-a0c6-fbf29b217873 · outbound

This paper cites Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:03.431138Z

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Observation 62cef726-4193-4cd0-a4dc-b2ea19b8a9bb · outbound

This paper cites AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:03:04.999468Z

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Observation a96132bb-0367-4a74-963b-d3cb04851e82 · outbound

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

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:03.636600Z

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Observation bda0e60a-fb2d-484a-aab5-43dbbdd86e7b · outbound

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AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:03.727511Z

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Observation 11b1ca19-bb6c-4ff8-b3bf-9e08a21dc877 · outbound

This paper cites Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:03.827609Z

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Observation 84ad0ace-64f3-4b31-b656-38abcaa84d36 · outbound

This paper cites Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:03.882209Z

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Observation 3125f75b-ce9b-4841-8632-53cb65914a3b · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation BERTScore: Evaluating Text Generation with BERT

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:04.005794Z

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Observation ea5347c5-f4d5-410c-ade0-014e2a74475c · outbound

This paper cites The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:04.200698Z

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Observation f98f101b-0ad5-4e3b-9867-9a0a144ccef5 · outbound

This paper cites Towards a Unified Multi-Dimensional Evaluator for Text Generation.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Towards a Unified Multi-Dimensional Evaluator for Text Generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:04.315586Z

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Observation 39a54ad9-c5ac-405e-a26a-56a07a7a03cc · outbound

This paper cites Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:04.390983Z

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Observation 373f1e6e-7892-49ad-ae22-daf001775a50 · outbound

This paper cites online" 'onlinestring :=.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation online" 'onlinestring :=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:04.519256Z

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Observation 6e8eb233-f85d-4a00-980a-95e30af07797 · outbound

This paper cites write newline.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation write newline

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:04.659589Z

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Pith citing papers

Observation 89572dfe-b377-4713-9158-53ddd38754ba · inbound

PhyGround: Benchmarking Physical Reasoning in Generative World Models cites this paper.

PhyGround: Benchmarking Physical Reasoning in Generative World Models AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:21:28.617378Z

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