Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:51.589424Z
Paper Citation Record · LEDGER
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
As of 10 August 2026, this Paper Citation Record lists 100 of 143 outbound references and 5 inbound Pith citation observations for arXiv:2506.05384.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:31:11.070908Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T08:45:35.591791Z
Reference resolution
100 of 143 outbound references displayed
- verified exact2
- verified fuzzy4
- unresolved93
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5e3062a3-881c-438f-8753-4a3274c0fedd · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Flamingo: a visual language model for few-shot learning
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:42.996193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a05f739-afd6-4eda-afaf-66d0079d3abe · outbound
This paper cites Qwen2.5-VL Technical Report.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Qwen2.5-VL Technical Report
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.038873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8337e0d9-3071-4c76-9049-7d91bc98beb8 · outbound
This paper cites Deep neural networks for no-reference and full-reference image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Deep neural networks for no-reference and full-reference image quality assessment
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.120027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f9767c2-b6a9-41ab-b57e-de9d3bd079c7 · outbound
This paper cites Phocolens: Photorealistic and consistent reconstruction in lensless imaging.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Phocolens: Photorealistic and consistent reconstruction in lensless imaging
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.178702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2245206f-11ef-4b6d-80a0-ec5258b1c28b · outbound
This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.210066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab358159-7b1c-4bc5-8aeb-f6651ff31d89 · outbound
This paper cites Q-ground: Image quality grounding with large multi-modality models.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Q-ground: Image quality grounding with large multi-modality models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.286724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4b7da5b-bc24-463e-8819-5ec68cdeec50 · outbound
This paper cites Promptiqa: Boosting the performance and generalization for no-reference image quality assessment via prompts.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Promptiqa: Boosting the performance and generalization for no-reference image quality assessment via prompts
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.361908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f250c247-cb08-44dc-a9b6-eeedb1f6ef44 · outbound
This paper cites SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.430265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 944be268-6eaf-4487-8fff-51625d463f74 · outbound
This paper cites Study of subjective and objective naturalness assessment of ai-generated images.IEEE Transactions on Circuits and Systems for Video Technology, 2024.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Study of subjective and objective naturalness assessment of ai-generated images.IEEE Transactions on Circuits and Systems for Video Technology, 2024
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3380e968-4e5a-447c-a0f4-152ef8d77d0d · outbound
This paper cites Prompt-based test-time real image dehazing: a novel pipeline.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Prompt-based test-time real image dehazing: a novel pipeline
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.560340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 215dd89a-a1b0-444c-b896-80b1d15aadfd · outbound
This paper cites Perceptual image quality assessment with transformers.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Perceptual image quality assessment with transformers
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.600871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faf89e3e-9e7c-4914-8369-b261db64c681 · outbound
This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.692048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94018c48-c4d1-4868-90ea-eb29e9df386f · outbound
This paper cites Deep rein- forcement learning from human preferences.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Deep rein- forcement learning from human preferences
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.801197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0594f54a-f833-4bdb-84c2-b5429b517872 · outbound
This paper cites Perceptual quality assessment of smartphone photography.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Perceptual quality assessment of smartphone photography
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.859410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71df64aa-e36a-4090-8976-71efa250f1fb · outbound
This paper cites Live in the wild image quality challenge database.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Live in the wild image quality challenge database
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:43.944823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 495d0e1e-d0ff-47be-90bc-6b32d3d4cab2 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23dca6e3-ebf9-46de-8494-cb092f44b9b5 · outbound
This paper cites Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
Reference 17
- Resolution
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- no resolver link, observed 2026-08-07T11:22:44.051500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f508f699-bcde-4e9c-a34e-a5808673d366 · outbound
This paper cites Image quality metrics: Psnr vs.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Image quality metrics: Psnr vs
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:44.165206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f7d73d4-2194-4f4d-8581-e108a7d5f074 · outbound
This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a384c7a2-df11-41f7-9a72-a3f33d76f6ea · outbound
This paper cites Musiq: Multi-scale image quality transformer.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Musiq: Multi-scale image quality transformer
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01d831bb-3c67-42b0-a5dc-aba5dd619660 · outbound
This paper cites Most apparent distortion: full-reference image quality assessment and the role of strategy.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Most apparent distortion: full-reference image quality assessment and the role of strategy
Reference 21
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66eee500-8d0b-4b5f-898b-152a70e6abf5 · outbound
This paper cites Agiqa-3k: An open database for ai-generated image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Agiqa-3k: An open database for ai-generated image quality assessment
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbea88d5-b09d-4b6e-82d7-82189c35ae25 · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 23
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af69b475-a00a-4cc2-8388-fb419e9b0713 · outbound
This paper cites Q-Insight: Understanding Image Quality via Visual Reinforcement Learning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
Reference 24
- Resolution
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- no resolver link, observed 2026-08-07T11:22:44.700327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d775c01f-f2c3-4d5b-bfa2-8f51902a7b91 · outbound
This paper cites Kadid-10k: A large-scale artificially distorted iqa database.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Kadid-10k: A large-scale artificially distorted iqa database
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e73c82f7-598b-40ed-bfca-1f47dd5be824 · outbound
This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023
Reference 26
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83d37042-b9f1-4fa1-9225-05f29939120a · outbound
This paper cites Rankiqa: Learning from rankings for no- reference image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Rankiqa: Learning from rankings for no- reference image quality assessment
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6c33788-4c66-4db0-953e-224c2a4de005 · outbound
This paper cites Cid: Iq–a new image quality database.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Cid: Iq–a new image quality database
Reference 28
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Unavailable: canonical work link unavailable.
Observation 1fc98cc6-0ec4-4457-93f7-6330c7f265c0 · outbound
This paper cites InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners
Reference 29
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Unavailable: canonical work link unavailable.
Observation b589a7ea-3bd6-4128-99e9-0f89e207c519 · outbound
This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Visual-RFT: Visual Reinforcement Fine-Tuning
Reference 30
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Unavailable: canonical work link unavailable.
Observation 7319e903-7492-446e-ba4a-e1960f4ec777 · outbound
This paper cites UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
Reference 31
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c0cab02-1962-478f-b333-a5b5a79be75a · outbound
This paper cites Learning a no-reference quality metric for single-image super-resolution.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Learning a no-reference quality metric for single-image super-resolution
Reference 32
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Observation 55b7b1b0-66a5-4241-841f-3b109d9f1107 · outbound
This paper cites End-to-end blind image quality assessment using deep neural networks.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment End-to-end blind image quality assessment using deep neural networks
Reference 33
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Observation d2a79e74-ae17-4b1d-9c96-1556d9a6341e · outbound
This paper cites No-reference image quality assessment in the spatial domain.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment No-reference image quality assessment in the spatial domain
Reference 34
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Observation 801d2841-59a3-40f2-83bf-a1840c95bfeb · outbound
This paper cites Making a ¡ °completely blind¡± image quality analyzer.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Making a ¡ °completely blind¡± image quality analyzer
Reference 35
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Observation 5fc98678-9933-45fa-a771-8c53f26914ae · outbound
This paper cites Human-level control through deep reinforcement learning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Human-level control through deep reinforcement learning
Reference 36
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab4db865-2c86-47cb-91ce-843cb9a3bd71 · outbound
This paper cites A two-step framework for constructing blind image quality indices.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment A two-step framework for constructing blind image quality indices
Reference 37
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Observation b843b709-b139-4753-9eac-752145acfedc · outbound
This paper cites Blind image quality assessment: From natural scene statistics to perceptual quality.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Blind image quality assessment: From natural scene statistics to perceptual quality
Reference 38
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Observation 8a9b4dc2-2bc5-4a6f-95e0-ccb6fec3a349 · outbound
This paper cites Blind image quality assessment using a deep bilinear convolutional neural network.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Blind image quality assessment using a deep bilinear convolutional neural network
Reference 39
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Unavailable: canonical work link unavailable.
Observation 0a54c4a0-569f-4014-9790-4319d07af2ac · outbound
This paper cites Training language models to follow instructions with human feedback.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Training language models to follow instructions with human feedback
Reference 40
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Observation c9cc2324-a571-4895-822c-83e6c158173a · outbound
This paper cites MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Reference 41
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Observation 19ae3b72-7f91-4063-b2ec-222dc939191d · outbound
This paper cites Image database tid2013: Peculiarities, results and perspectives.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Image database tid2013: Peculiarities, results and perspectives
Reference 42
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Observation 6210cf54-2d26-4fea-bb92-f54a8a03d51b · outbound
This paper cites Tid2008-a database for evaluation of full-reference visual quality assessment metrics.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Tid2008-a database for evaluation of full-reference visual quality assessment metrics
Reference 43
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d81b1cd-e44f-446d-b32c-641a22a98cc7 · outbound
This paper cites Pieapp: Perceptual image-error assessment through pairwise preference.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Pieapp: Perceptual image-error assessment through pairwise preference
Reference 44
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Observation 1e1698de-8439-40d1-bbe8-7e79ee8478e6 · outbound
This paper cites Blind image quality assessment: A natural scene statistics approach in the dct domain.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Blind image quality assessment: A natural scene statistics approach in the dct domain
Reference 45
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Observation d53ece29-985e-4071-9c60-730b769eb2c1 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Proximal Policy Optimization Algorithms
Reference 46
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Observation 1d106e0a-caf1-4589-a8a0-5c7963549d1c · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 47
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Observation d4521ee9-58d8-46b0-a36b-2cc576aa49c1 · outbound
This paper cites Image information and visual quality.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Image information and visual quality
Reference 48
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Observation 00340765-bc0a-4c5c-9b1d-3daacf62324d · outbound
This paper cites A statistical evaluation of recent full reference image quality assessment algorithms.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment A statistical evaluation of recent full reference image quality assessment algorithms
Reference 49
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Observation 11997311-cacb-429e-87cd-3be562bd8175 · outbound
This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 50
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Observation 446590fa-a179-49ad-93c7-fe66d56ffbf1 · outbound
This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment HybridFlow: A Flexible and Efficient RLHF Framework
Reference 51
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Observation a4363afd-462b-4ec9-9908-64c7b8537846 · outbound
This paper cites Mastering the game of go with deep neural networks and tree search.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Mastering the game of go with deep neural networks and tree search
Reference 52
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Observation 7715d83b-c46a-4598-aa9c-1d6d4ec1092d · outbound
This paper cites Blindly assess image quality in the wild guided by a self-adaptive hyper network.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Blindly assess image quality in the wild guided by a self-adaptive hyper network
Reference 53
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Observation 3e5c15d5-b3fd-4acb-ba5d-77489c6398a9 · outbound
This paper cites Graphiqa: Learning distortion graph representations for blind image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Graphiqa: Learning distortion graph representations for blind image quality assessment
Reference 54
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6428483-cc5f-4e7a-9c3d-94887cb9b68f · outbound
This paper cites Nima: Neural image assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Nima: Neural image assessment
Reference 55
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e8500fb-13c9-47d6-a6a1-c8ddc2baf39d · outbound
This paper cites Learning a blind measure of perceptual image quality.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Learning a blind measure of perceptual image quality
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd6f523b-f60f-4d45-8a1a-c1a466700eab · outbound
This paper cites Internlm: A multilingual language model with progressively enhanced capabilities, 2023.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Internlm: A multilingual language model with progressively enhanced capabilities, 2023
Reference 57
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7f272a8-d1a3-4bff-b30f-a425f9b2b75b · outbound
This paper cites Gpt-4v (ision) system card.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Gpt-4v (ision) system card
Reference 58
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13061859-7674-4faa-bf1c-398617065adc · outbound
This paper cites Exploring clip for assessing the look and feel of images.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Exploring clip for assessing the look and feel of images
Reference 59
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e131f97c-9eb0-403e-9ac9-d5a488482f7d · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Image quality assessment: from error visibility to structural similarity
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adf2f297-a7f8-42f7-bfae-8ad83440b995 · outbound
This paper cites MP-GUI: Modality Perception with MLLMs for GUI Understanding.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment MP-GUI: Modality Perception with MLLMs for GUI Understanding
Reference 61
- Resolution
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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 65cf78c1-f762-4134-85a9-5a22fc707003 · outbound
This paper cites Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Reference 62
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a694c952-93db-4643-ac21-0439f6bcf5aa · outbound
This paper cites Q-instruct: Improving low-level visual abilities for multi-modality foundation models.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Q-instruct: Improving low-level visual abilities for multi-modality foundation models
Reference 63
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d500d21a-2e70-43a0-8902-5c69d2502cea · outbound
This paper cites Towards open-ended visual quality comparison.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Towards open-ended visual quality comparison
Reference 64
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20d2e0ef-6dab-416c-9872-e1d8cced16b7 · outbound
This paper cites A comprehensive study of multimodal large language models for image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment A comprehensive study of multimodal large language models for image quality assessment
Reference 65
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca304a87-8e6c-4327-ace1-eaf7144c601f · outbound
This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Maniqa: Multi-dimension attention network for no-reference image quality assessment
Reference 66
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f92efe22-d80e-4cef-b895-bbc562aa1c73 · outbound
This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration
Reference 67
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8bebeca-6da2-4111-90c0-32295e79e29c · outbound
This paper cites Teaching large language models to regress accurate image quality scores using score distribution.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Teaching large language models to regress accurate image quality scores using score distribution
Reference 68
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5a3d067-2f6e-49c6-b001-86c9502c9634 · outbound
This paper cites Descriptive image quality assessment in the wild.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Descriptive image quality assessment in the wild
Reference 69
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fee8388c-44d7-42c8-b728-7462e8a7d74f · outbound
This paper cites Depicting beyond scores: Advancing image quality assessment through multi-modal language models.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Depicting beyond scores: Advancing image quality assessment through multi-modal language models
Reference 70
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d005e88-8534-41b0-b104-e4dcaa8eaa7c · outbound
This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback
Reference 71
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2ed15d8-69cb-4bc6-b934-ec7f14b6e2ad · outbound
This paper cites Rlaif-v: Aligning mllms through open-source ai feedback for super gpt-4v trustworthiness.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Rlaif-v: Aligning mllms through open-source ai feedback for super gpt-4v trustworthiness
Reference 72
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f673720-0fb3-44d4-a5b5-04fb6bbb0b28 · outbound
This paper cites Sf-iqa: Quality and similarity integration for ai generated image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Sf-iqa: Quality and similarity integration for ai generated image quality assessment
Reference 73
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60cde204-1f40-4564-a7d7-acc7fe5084fb · outbound
This paper cites Vision-language models for vision tasks: A survey.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Vision-language models for vision tasks: A survey
Reference 74
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 218b86d8-3bd2-4233-8245-e870f78165aa · outbound
This paper cites Fsim: A feature similarity index for image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Fsim: A feature similarity index for image quality assessment
Reference 75
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fcc6445-ca6c-401a-873c-8c33f8d2034c · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment The unreasonable effectiveness of deep features as a perceptual metric
Reference 76
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c840ca8-f8c2-4700-a833-c9b16ee322a7 · outbound
This paper cites Continual learning for blind image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Continual learning for blind image quality assessment
Reference 77
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4e6989f-dc4a-48f1-a8a3-9ab41ea3079b · outbound
This paper cites Blind image quality assessment via vision-language correspondence: A multitask learning perspective.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Blind image quality assessment via vision-language correspondence: A multitask learning perspective
Reference 78
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7420504c-a95c-4c50-9097-cb00434d0fdc · outbound
This paper cites GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks
Reference 79
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf83dd4e-5a6b-4fe9-b9fc-de3de6805c90 · outbound
This paper cites MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Reference 80
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01b6e318-d9eb-41c8-bc34-3804bd53e64d · outbound
This paper cites Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
Reference 81
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 971f844c-def0-40ba-bc69-246ae1de1957 · outbound
This paper cites Quality assess- ment in the era of large models: A survey.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Quality assess- ment in the era of large models: A survey
Reference 82
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48f74f51-9218-4c85-ae43-68b5b80a9b17 · outbound
This paper cites Learning conditional knowledge distillation for degraded-reference image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Learning conditional knowledge distillation for degraded-reference image quality assessment
Reference 83
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0538431f-5837-4e0e-8a80-357eda3cd126 · outbound
This paper cites Causal-iqa: Towards the generaliza- tion of image quality assessment based on causal inference.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Causal-iqa: Towards the generaliza- tion of image quality assessment based on causal inference
Reference 84
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b094d24-af10-4b2d-81c9-91ae50bd5fba · outbound
This paper cites Quality assessment of image super-resolution: Balancing deterministic and statistical fidelity.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Quality assessment of image super-resolution: Balancing deterministic and statistical fidelity
Reference 85
- Resolution
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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 c632fef1-c9d5-402f-a179-1c7ce16450bd · outbound
This paper cites Metaiqa: Deep meta-learning for no-reference image quality assessment.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Metaiqa: Deep meta-learning for no-reference image quality assessment
Reference 86
- Resolution
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- raw_fallback, observed 2026-08-07T11:22:56.177443Z
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 0299c436-682e-49cb-ac9c-67d3d93c65e8 · outbound
This paper cites Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
Reference 87
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8c62296-95c6-4524-83d9-4dbc189d26b1 · outbound
This paper cites An Intelligent Agentic System for Complex Image Restoration Problems.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment An Intelligent Agentic System for Complex Image Restoration Problems
Reference 88
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01dd35b6-ae01-45e8-a80b-33b58eec141b · outbound
This paper cites an unresolved cited work.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Unresolved cited work
Reference 90
- Resolution
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- raw_fallback, observed 2026-08-07T11:22:56.162283Z
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 85a8aed2-1eff-4ec9-8a4e-c08cc5a0b3fc · outbound
This paper cites an unresolved cited work.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Unresolved cited work
Reference 91
- Resolution
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- raw_fallback, observed 2026-08-07T11:22:56.148197Z
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 113bc2a6-4f7a-4e5d-81fd-06bfb6a204f8 · outbound
This paper cites compression noise).
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment compression noise)
Reference 92
- Resolution
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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 0994ff35-8053-4e9e-971d-fd8c9f0316a1 · outbound
This paper cites an unresolved cited work.
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Reference 93
- Resolution
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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 15c81ec6-9de5-4f3a-9192-53f663f4eaa9 · outbound
This paper cites an unresolved cited work.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Unresolved cited work
Reference 94
- Resolution
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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 d3abd72f-a8d7-4b77-925c-72f6c15c1299 · outbound
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Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Special rule: Artistic style may conditionally override low-level flaws, but must not affect final score
Reference 95
- Resolution
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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 444fa779-0074-4722-8861-a9f93712cb04 · outbound
This paper cites an unresolved cited work.
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Reference 96
- Resolution
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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 bbce5382-ea61-44bc-af6f-f2cd01934782 · outbound
This paper cites an unresolved cited work.
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Reference 97
- Resolution
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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 d405ed6a-aff4-4862-b580-f1320856053c · outbound
This paper cites an unresolved cited work.
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Reference 98
- Resolution
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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 271b3c92-84b0-42bd-9e34-21e2a6d479db · outbound
This paper cites an unresolved cited work.
Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Unresolved cited work
Reference 99
- Resolution
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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 f0b182cd-756a-48c6-8870-6f0013b67504 · outbound
This paper cites an unresolved cited work.
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Reference 100
- Resolution
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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 5f6bc4a7-78eb-4240-95dc-a7a121a4fd48 · outbound
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Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Composition and Style Attributes Guided Image Aesthetic Assessment
Reference 101
- Resolution
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Source-reported events for the cited work
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Pith citing papers
Observation e76b0625-b3a2-4934-93b2-586efc0f96a1 · inbound
Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning cites this paper.
Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation 278c1c0a-e0db-4cc1-9c0e-86c543c89510 · inbound
Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing cites this paper.
Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
Reference 2
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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 bdbc6dea-8260-4d49-ab1c-ef34fcfbbdd5 · inbound
SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing cites this paper.
SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
Reference 5
- Resolution
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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 ef5c3d0e-d007-4f44-8412-ec5d5c845290 · inbound
MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment cites this paper.
MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
Reference 5
- Resolution
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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 879b01d2-3c65-4734-ab68-bf766646ac03 · inbound
MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment cites this paper.
MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
Reference 5
- Resolution
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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.