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Paper Citation Record · LEDGER

Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2503.22679.

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

pith.paper-citation-record.v1
2503.22679 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:32.282841Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 496011d8-4e0b-4c11-b078-090c603f2b73 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 87

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no resolver link, observed 2026-08-07T14:31:16.030204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:16.030204Z digest=sha256:e05c8c01a542ab39a7996f3ed6b48056473a9319c2e268f39d367d1868dc85de

Observation 6c8b85b2-4ba2-4ead-9039-fa2ec3d732cb · inbound

MIND-Edit: MLLM Insight-Driven Editing via Language-Vision Projection cites this paper.

MIND-Edit: MLLM Insight-Driven Editing via Language-Vision Projection Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 27

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no resolver link, observed 2026-08-07T14:23:07.552002Z

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source=pdf_text observed=2026-08-07T14:23:07.552002Z digest=sha256:3af18d9ea7a74a68ecb64bfcff25d9268bdfdf77aaafc097d97162bccc8899ce

Observation 0ad260c2-d174-44dd-bcf9-4f09ac66a99c · inbound

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models cites this paper.

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 14

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no resolver link, observed 2026-08-07T14:51:32.282841Z

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source=pdf_text observed=2026-08-07T14:51:32.282841Z digest=sha256:1adc94043bc4d370cbf8d64000591e5fa35bed0a71440b8e8e2325b1825d653b

Observation af69b475-a00a-4cc2-8388-fb419e9b0713 · inbound

Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment cites this paper.

Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 24

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no resolver link, observed 2026-08-07T11:22:44.700327Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:44.700327Z digest=sha256:f91ebfc7c2fce6d70135e8a39c64f138d6c7104b6160ada9e475c2cc1532b081

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

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

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

Reference 19

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation 672062f7-eb0a-44f8-88fc-11d69b0ad0f5 · inbound

VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results cites this paper.

VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 26

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no resolver link, observed 2026-08-04T19:34:24.909889Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:24.909889Z digest=sha256:88071ab05b019410678ddcfe6efad005096a7f1acb482f1d57e36f63f58ac009

Observation 7f6bd7f3-9aea-4cae-a0e1-a6bfa50a62bd · inbound

EmoFeedback$^2$: Reinforcement of Continuous Emotional Image Generation via LVLM-based Reward and Textual Feedback cites this paper.

EmoFeedback$^2$: Reinforcement of Continuous Emotional Image Generation via LVLM-based Reward and Textual Feedback Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 2024

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no resolver link, observed 2026-08-03T20:26:25.814260Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:26:25.814260Z digest=sha256:7e894f4a5d74e210ec827c2e4cc9a237e9dff21d27b1ec33dc941f8bcdd43653

Observation 8013f432-c8e3-48fe-98c4-bb80e7e7d9f9 · 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-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 29

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no resolver link, observed 2026-08-03T12:31:14.886253Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:31:14.886253Z digest=sha256:e629e0132d0ecd558f0ed03387f17e7729a58876170a51a00659eaf6d6fd2aea

Observation 917b70c7-d53c-472a-aa29-24e9ed0bf0cf · 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-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 7

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verified exact
arxiv_id, observed 2026-05-16T12:47:54.137660Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-16T12:44:12.618007Z digest=sha256:964403ce815f637d9d8eb34195f07ba75334b4cfc076513105fcd51b37b964f7

Observation 235ff2aa-009b-40b4-b299-f1c65d14a45b · inbound

ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking cites this paper.

ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 25

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no resolver link, observed 2026-08-02T17:49:56.113643Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:49:56.113643Z digest=sha256:868c5db1108f16f953ca59d74aeff964a26cc66b20771d3d652e1258e463dd12

Observation aa916beb-3abe-4daf-a106-48ca6ea83554 · inbound

Panoptic Pairwise Distortion Graph cites this paper.

Panoptic Pairwise Distortion Graph Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 1

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arxiv_id, observed 2026-05-11T10:46:06.402528Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T15:18:40.004349Z digest=sha256:11f4fd177477b0d43ce8f92d251c7ff7f0eb42e1867f0f7153476b523e6de652

Observation 71dc94c9-fe45-46a5-8495-a90213221222 · inbound

Q-DeepSight: Incentivizing Thinking with Images for Image Quality Assessment and Refinement cites this paper.

Q-DeepSight: Incentivizing Thinking with Images for Image Quality Assessment and Refinement Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 22

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arxiv_id, observed 2026-05-10T06:46:37.254247Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T06:43:54.201604Z digest=sha256:c9357b3a89e7dffccdf1a6a71b88bffad49b370b1bc0caeb45743584d6ff6c0d

Observation 65a3a87b-8ce1-47c0-9a2b-687889ffd370 · inbound

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 20

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arxiv_id, observed 2026-05-11T16:51:09.324004Z

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

source=arxiv_source observed=2026-05-09T14:36:29.666730Z digest=sha256:c156d27d0e0fbe10b337e209ae19efa650470896bec16862da25c73e0c7dae0f

Observation 40f2154d-fc9f-4735-a63a-fbdb63dabd22 · inbound

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 20

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arxiv_id, observed 2026-05-12T05:51:26.175599Z

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

source=arxiv_source observed=2026-05-12T04:52:09.685243Z digest=sha256:5cc259221953769f3dbb969d231cd7f56d93bc3166e253d3ca0f26d3ffcb82f6

Observation 2343188c-48ca-4ecc-bf50-27e705477018 · inbound

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition cites this paper.

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 76

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arxiv_id, observed 2026-05-13T07:47:31.025282Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-13T07:46:50.540528Z digest=sha256:210f47b176e221dc3e72ce0c456386ebb23ceb805abb90bc4e948705d8e5ed84

Observation 9f739254-75a9-4dd2-b2f4-5f3dc42d5790 · inbound

Ultra-High-Definition Image Quality Assessment via Graph Representation Learning cites this paper.

Ultra-High-Definition Image Quality Assessment via Graph Representation Learning Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 26

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arxiv_id, observed 2026-05-22T08:04:42.640087Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-22T08:04:16.254363Z digest=sha256:46f698493ec751258c7ae9978804e65471661ceefd671077c74c535c1a36b59a

Observation 41f4957f-a65f-4b89-8c64-1b8c8bdde2a4 · inbound

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

DRM: Diffusion-based Reward Model With Step-wise Guidance Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 17

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arxiv_id, observed 2026-06-29T22:13:59.396569Z

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

source=pdf_text observed=2026-06-29T22:12:39.225557Z digest=sha256:e2a8a611a04ecf0a775208a6c6416c07bbbbcb42a3e5172c9c295e9463d4b79f

Observation 06b42fef-5ab1-494a-9a64-46e9fea1a965 · inbound

HiTokSR: A Coarse-to-Fine Tokenizer with Hierarchical Codebooks for High-Fidelity Real-World Image Super-Resolution cites this paper.

HiTokSR: A Coarse-to-Fine Tokenizer with Hierarchical Codebooks for High-Fidelity Real-World Image Super-Resolution Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 17

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arxiv_id, observed 2026-07-01T21:06:13.470541Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T17:32:15.239191Z digest=sha256:fda662e73625db845f4fc2a005f9bf5224adc3ed31ac6e348e858a1187681c61

Observation c1d44f09-0543-4e29-a748-9303b2e40758 · inbound

Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment cites this paper.

Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 26

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arxiv_id, observed 2026-07-02T12:06:55.932789Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T02:30:45.673752Z digest=sha256:b1ad78aab84ad95fda207c66ce4cc37414b45e21d9f4d4765eb452c0a43e9ec7

Observation 0aab4778-dd7a-41af-bd0c-9b6feb59efcc · inbound

Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment cites this paper.

Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 26

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arxiv_id, observed 2026-06-30T11:14:37.674771Z

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

source=pdf_text observed=2026-06-30T11:11:21.975534Z digest=sha256:ac4defc35d6402bfb13e5ca30a79dc39185b49fa55b7ec865b91d9999d7f35a5

Observation 283bea3c-32c0-4ee7-81b7-fe4e1da2dfaf · inbound

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment cites this paper.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 20

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no resolver link, observed 2026-08-02T03:19:52.579696Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.579696Z digest=sha256:de271bd543d18e3f94676525c66bebf875228d4cbc3f1fb9ef2acffd4fbc79a8