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Paper Citation Record · LEDGER

Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2309.14181.

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

pith.paper-citation-record.v1
2309.14181 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:56:36.491587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:34:40.544825Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

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Pith citing papers

Observation ed5a36fc-22a4-429b-8d46-d70709c2e554 · inbound

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition cites this paper.

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 90

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arxiv_id, observed 2026-05-17T13:48:48.768680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f42ccc44-ad91-4fa8-a89e-cc5147a91bb8 · inbound

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 62

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arxiv_id, observed 2026-05-18T03:18:51.765863Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b55ad617-4d3b-4d92-b949-0d00498ccf20 · inbound

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions cites this paper.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 55

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arxiv_id, observed 2026-05-13T17:08:12.968660Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2249516d-2de1-4390-900e-fd29a4822493 · inbound

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model cites this paper.

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 86

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arxiv_id, observed 2026-05-17T05:30:27.754580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 58dfed88-a948-4aea-b2fa-f54f63bc2120 · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 46

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arxiv_id, observed 2026-05-12T19:41:44.402863Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation baba10dc-c7e9-4a1e-9c9f-1e755cfba758 · inbound

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cites this paper.

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 56

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arxiv_id, observed 2026-05-11T06:01:53.983850Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7d6556c8-6bf7-4c5c-a55a-eed967f4703e · inbound

LLaVA-OneVision: Easy Visual Task Transfer cites this paper.

LLaVA-OneVision: Easy Visual Task Transfer Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 139

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arxiv_id, observed 2026-05-10T14:23:49.486341Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T14:23:49.412830Z digest=sha256:aeee9aeed7d442f46171991fad4b7c29f7570362d811fe93f4f84df2799f6d62

Observation ea24bf46-f79e-4581-8d74-e8261f784f22 · inbound

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 71

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arxiv_id, observed 2026-05-20T06:20:36.557416Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T06:20:36.235304Z digest=sha256:b52df9e66fde2e99474f1685ed65fe687ecd46f85523d88f58653af8f412b08a

Observation 86e7cf85-9c5d-4019-b1f2-7dd6ca2338ed · inbound

VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models cites this paper.

VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 52

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Observation a1d94b10-0419-4ca0-a435-0c23be3dc8d8 · inbound

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning cites this paper.

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 55

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source=pdf_text observed=2026-08-12T19:59:43.492521Z digest=sha256:a9c81482971ff45304d96cf4fde97603d4deea5006b6393d5235c9a4fbf71340

Observation fc733ae5-4260-40aa-bef6-d6c4d8b5bfd3 · inbound

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs cites this paper.

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 86

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source=pdf_text observed=2026-08-12T14:31:37.047771Z digest=sha256:d8893b0f7673f5f09436f81afa3636ab7829f7f16f007d5a9650fef4833bf4f2

Observation 679e364e-1217-4f2f-b871-72dd3108a562 · inbound

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator cites this paper.

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 45

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Observation b43f0a02-66a8-49f5-a8e7-2bb071b663f6 · inbound

Video Quality Assessment: A Comprehensive Survey cites this paper.

Video Quality Assessment: A Comprehensive Survey Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 103

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no resolver link, observed 2026-08-11T22:52:56.969627Z

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source=pdf_text observed=2026-08-11T22:52:56.969627Z digest=sha256:1ed6f77fdb4a272d2ab97b1368ceeb7dd7d092c6afa7d27f23e61fab7bf0ef9d

Observation 6baf2c07-0a34-4d85-b17c-83b77d28dfcb · inbound

Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics cites this paper.

Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 46

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no resolver link, observed 2026-08-11T15:52:20.757343Z

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source=pdf_text observed=2026-08-11T15:52:20.757343Z digest=sha256:f738d2dc229fc7532a3e67fdbdfdd26e5de511d7135a4152060b935847e2c7b2

Observation 75da596b-52c8-430a-b37f-a9537e2fe48a · inbound

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking cites this paper.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 39

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no resolver link, observed 2026-08-10T23:16:55.136845Z

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Observation 7887edb3-c40e-451d-abd7-7f1a9801a02d · inbound

A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs cites this paper.

A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 20

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Observation f06d7329-fe8c-4fe6-8afc-dc3557f02205 · inbound

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models cites this paper.

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 75

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Observation 5ce108d0-e454-49f4-87cd-7d8c01268d5d · inbound

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types cites this paper.

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 27

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source=pdf_text observed=2026-08-07T20:06:36.665171Z digest=sha256:d4841f51ff323f6b905ce677f469350361d32d820e125df4aadcd4c2e2df2a44

Observation 02e90f34-0ce5-4402-806a-6e34246c9f4c · inbound

Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model cites this paper.

Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 46

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arxiv_id, observed 2026-05-22T21:22:09.798873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 86fdc821-6595-4038-b00b-564257566dd2 · inbound

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation cites this paper.

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 53

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source=pdf_text observed=2026-08-15T20:56:36.491587Z digest=sha256:f2c1c7c5e414af051c1e7e91db05dcbec7e6527ae26ac1b1b8bbe5769b7ab916

Observation 2351fd5e-7ebe-44b6-9433-8b2268e094c9 · inbound

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing cites this paper.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 53

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source=pdf_text observed=2026-08-07T15:11:16.029902Z digest=sha256:a999ceb59d0b29dcd1f73dedc4e91b23c941c530df654c8c24380afc92f82ee9

Observation b4595a73-fa6a-4f5a-9acd-dace869b8128 · inbound

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion cites this paper.

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 74

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source=pdf_text observed=2026-08-07T14:37:53.136267Z digest=sha256:15cb88628278095c098cc8e5956e7996f7efc6b5a6b016163439b6e8f5ebeb4e

Observation f020b70c-87f6-44bb-9d4e-21811f81ec82 · inbound

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos cites this paper.

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 52

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source=arxiv_source observed=2026-08-07T12:45:49.132169Z digest=sha256:e482781968c6bf3d0f326cfa1ed7efdaefaf2f00f78626d1b27de294fe0f4310

Observation 08cdb363-3f52-4770-ab45-d0777dfebffd · inbound

Affordance Benchmark for MLLMs cites this paper.

Affordance Benchmark for MLLMs Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 50

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source=arxiv_source observed=2026-08-07T11:59:55.376386Z digest=sha256:f261f92348fa6020d27b1087e7c83d360dfbd422e612af96e8b7b93e1aa5119a

Observation c7c041f0-6fd7-491e-b307-15c86595814e · inbound

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark cites this paper.

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 37

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source=pdf_text observed=2026-08-07T11:05:19.654435Z digest=sha256:d0889dd610bd86362ff4f60dd680c7fb62ed851ce06e68fcb86e727faf411c0e

Observation 65cf78c1-f762-4134-85a9-5a22fc707003 · 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-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 62

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source=pdf_text observed=2026-08-07T11:22:48.836267Z digest=sha256:637a832e35d67cbc31450a198218e6f6000257d2dc952afa7ab65cb96727cb88

Observation 3f494b77-2ed4-4347-9dd5-c27fd2a5c421 · inbound

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration cites this paper.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 124

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source=pdf_text observed=2026-08-15T19:20:23.860784Z digest=sha256:f17a1b526526d63e320aa7cfbf61a17ef4671aafc7c536860b267669bbd91bbd

Observation a3c78e87-7777-4fb2-900b-a218944e0aef · inbound

LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models cites this paper.

LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 52

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source=arxiv_source observed=2026-08-06T20:38:31.498256Z digest=sha256:2e9ea4b4bdebe31fac7e89b9498d3f4064908ab21a8fc02b79a5cb211d8da2bb

Observation 2fead64d-dbc4-4359-9ee6-64e76241c392 · inbound

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models cites this paper.

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 94

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source=pdf_text observed=2026-08-06T20:32:59.881643Z digest=sha256:c35e063a64ec9933a4e0a3392f98a31f57befe04536629413d70d663105a3550

Observation deea241a-0e92-4806-a506-de4fbeffaa21 · inbound

Flow reorganization and transport enhancement in two-dimensional horizontal convection near a density extremum cites this paper.

Flow reorganization and transport enhancement in two-dimensional horizontal convection near a density extremum Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 64

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source=pdf_text observed=2026-08-15T17:29:22.307786Z digest=sha256:d5ec6d35dcaf6360e55b5f300a8493d29b46f2fa87c85296fa14acd67621afaa

Observation 2f7e0cc4-21f5-4358-8f59-09d116c72512 · inbound

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts cites this paper.

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 64

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source=arxiv_source observed=2026-08-15T17:25:48.157871Z digest=sha256:69db1b2ed8a4d46011b7d7871c8d59fd3199cd4dc13ee7379e87b16c6ba1244e

Observation fd9350a5-f19b-4416-a29b-f95cef1e66e5 · inbound

Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA cites this paper.

Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 7

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source=pdf_text observed=2026-08-05T10:55:55.439238Z digest=sha256:40091ab8e34a5a1245301aac660c2384529e50e17ce808e11baecffb0f310c04

Observation 1e666cc3-0a11-4a25-9bc3-288cd37cd3c5 · inbound

VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes cites this paper.

VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 48

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source=arxiv_source observed=2026-08-15T15:47:21.242391Z digest=sha256:934f5745a7c4e936683cf20c1715dd86750d2a257447540918846baa25c11983

Observation 1d9cbb6e-8193-4f68-9a12-68023fb08b76 · inbound

Tunable Polariton Canalization in Natural van der Waals Oxide cites this paper.

Tunable Polariton Canalization in Natural van der Waals Oxide Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:31:36.368963Z digest=sha256:90bf3f40a4c76d2d5a6314eca61fc475a6ef28f5515decd142306a51844762c0

Observation ec60a24e-74d7-4e74-97b1-30b847c8aa49 · inbound

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment cites this paper.

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:04.763828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:24:57.306003Z digest=sha256:12c665364ac30f70ae82d39d40fd8dbdc787ae21584de1ac898ee09e45498774

Observation 9f461f28-d8ab-4545-aa65-8c2bdf23923c · inbound

Latent Denoising Improves Visual Alignment in Large Multimodal Models cites this paper.

Latent Denoising Improves Visual Alignment in Large Multimodal Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:09:26.724322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T23:07:54.806529Z digest=sha256:1697b8b73827884b3ac23ceaeedf653231470d74e1e130592f75bb07530b7b37

Observation 22ae562d-48ec-48eb-afea-c7014e9d2bee · inbound

SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models cites this paper.

SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:46:35.065141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T04:00:50.940530Z digest=sha256:51fe922a3a2d56cf9ca286cec067e85ef18d8a6e01476c8c84344c019cb3405d

Observation b9117017-b0a2-40a9-ba88-90dd802cf9e1 · inbound

iDiff: Interpretable Difference-aware Framework for Pairwise Image Quality Assessment cites this paper.

iDiff: Interpretable Difference-aware Framework for Pairwise Image Quality Assessment Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:43:05.743420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T06:41:38.245904Z digest=sha256:1d897821f7ffe725e4e6b0676ff43267cd5bcbd0c0bae920f4161226d1324949

Observation 4453debe-d1a0-49c5-be45-61cf1088c75e · inbound

IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring cites this paper.

IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:34:40.546529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T13:28:01.889147Z digest=sha256:9afa65bcc81cec1aee4c6c364b9016d80acd51eb1bed1a98e2318c3e06643483

Observation 6c30a29e-34e7-48dd-b8d4-e7facd2402ef · inbound

PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment cites this paper.

PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:03:29.466802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T14:00:28.767590Z digest=sha256:e6040c02590c56d7758efa705af19f5cb6e61b9467fd833dae359de2c75d2e97

Observation 47474e1b-89ee-4079-99a1-68f079ed7a45 · inbound

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection cites this paper.

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.129255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T07:59:44.436264Z digest=sha256:6aea3b311eb99965a2535d45c1c0a7afb3e89aa9eccbe26036c9a1772ed1bde3

Observation d7035458-d686-4681-ae8a-07385f88b3a5 · inbound

SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation cites this paper.

SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T17:29:19.203722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:29:19.203722Z digest=sha256:793437105bfdc16bba42923bf932884c57f104776a76feae2f13b8d804447931

Observation bfbf9656-f54f-4f03-831c-8e7da8597ad0 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 208

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:14.618798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:14.618798Z digest=sha256:c366b5570c8c4045a7df926ef650f803c1cb20d0ba4e084050d989d0eea70536

Observation c9d70d18-048d-489d-a0ec-1ae1ffde6630 · inbound

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment cites this paper.

E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T17:17:41.089162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:17:41.089162Z digest=sha256:33a9ac469a6029c2f670e626a5cd2a39a05e432523da67991c2b23dbbafc77ae