Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:50.922118Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 2 inbound Pith citation observations for arXiv:2507.00490.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:50.922118Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:02:23.843390Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:35:39.718816Z
91 of 91 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e3d0ab3d-a8ad-44e0-b815-82ba91c72a00 · outbound
Just Noticeable Difference for Large Multimodal Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77d9dba4-2080-41ae-9af7-33c2cd83dc5e · outbound
Just Noticeable Difference for Large Multimodal Models Learning to describe differ- ences between pairs of similar images,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62dcc9ff-7453-4148-beda-61940d3e6b9e · outbound
Just Noticeable Difference for Large Multimodal Models Introducing llama 3.2,
Reference 3
Source-reported events for the cited work
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Observation c94f2d42-0e33-4b1e-a9f8-424ce5228e2a · outbound
Just Noticeable Difference for Large Multimodal Models Claude opus 4,
Reference 4
Source-reported events for the cited work
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Observation 0a634e82-7667-43f1-971d-c270b828087a · outbound
Just Noticeable Difference for Large Multimodal Models DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Reference 5
Source-reported events for the cited work
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Observation cb8d90dd-dad5-4ce0-8369-675dc33bf0ac · outbound
Just Noticeable Difference for Large Multimodal Models Just recognizable distortion for machine vision oriented image and video coding,
Reference 6
Source-reported events for the cited work
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Observation 134b9b5e-f008-4758-8341-c4d9e810b31d · outbound
Just Noticeable Difference for Large Multimodal Models The unreasonable effectiveness of deep features as a perceptual metric,
Reference 7
Source-reported events for the cited work
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Observation 49cdf6fb-69cf-4dbd-9a24-cc4ea479dad0 · outbound
Just Noticeable Difference for Large Multimodal Models Signal compression based on models of human perception,
Reference 8
Source-reported events for the cited work
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Observation 3b4c58ef-fa7a-4074-a894-b926009ea6f9 · outbound
Just Noticeable Difference for Large Multimodal Models Promptrobust: Towards evaluating the robustness of large language models on adversarial prompts,
Reference 9
Source-reported events for the cited work
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Observation 8141a7a0-2f8c-4979-89ff-da78a807798a · outbound
Just Noticeable Difference for Large Multimodal Models Image quality assessment: from error visibility to structural similarity,
Reference 10
Source-reported events for the cited work
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Observation 04325314-536f-4296-b66e-ced2b79fc68e · outbound
Just Noticeable Difference for Large Multimodal Models Study of subjective and objective naturalness assessment of ai-generated images,
Reference 11
Source-reported events for the cited work
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Observation 48fb8de7-49b2-4781-979d-f8c11eb8ac05 · outbound
Just Noticeable Difference for Large Multimodal Models Intro- ducing gemini 2.0: our new ai model for the agentic era,
Reference 12
Source-reported events for the cited work
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Observation 687350e5-5316-48a1-b0bb-b5d2c17f44fe · outbound
Just Noticeable Difference for Large Multimodal Models Ansys speos design & validation of optical systems,
Reference 13
Source-reported events for the cited work
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Observation 221246b4-ad60-4965-9880-5b86253ed321 · outbound
Just Noticeable Difference for Large Multimodal Models Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Reference 14
Source-reported events for the cited work
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Observation f8a3b9e4-fff5-4b26-aedb-c430176dd1bc · outbound
Just Noticeable Difference for Large Multimodal Models Jnd modeling: Approaches and applications,
Reference 15
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Observation 17fa52fb-39e5-412c-b679-a6d3099702fa · outbound
Just Noticeable Difference for Large Multimodal Models Shapellm: Universal 3d object understanding for embodied interaction,
Reference 16
Source-reported events for the cited work
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Observation 9f5a1981-3d32-40c2-9c2e-d6d730c264a1 · outbound
Just Noticeable Difference for Large Multimodal Models Kadid-10k: A large-scale artificially distorted iqa database,
Reference 17
Source-reported events for the cited work
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Observation 62e822e6-62ea-4964-85ad-7ac34d307d47 · outbound
Just Noticeable Difference for Large Multimodal Models Deep learning based just noticeable difference and perceptual quality prediction models for compressed video,
Reference 18
Source-reported events for the cited work
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Observation aeaf30cb-6b97-47a4-bfd5-3a9b06233769 · outbound
Just Noticeable Difference for Large Multimodal Models Just noticeable difference for images with decomposition model for separating edge and textured regions,
Reference 19
Source-reported events for the cited work
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Observation 36b06a2a-e543-4867-bee1-ea5aa6987e9e · outbound
Just Noticeable Difference for Large Multimodal Models A medical multimodal large language model for future pandemics,
Reference 20
Source-reported events for the cited work
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Observation 79710c03-7f8b-40e2-a38f-c1c5567e908d · outbound
Just Noticeable Difference for Large Multimodal Models Drivegpt4: Interpretable end-to-end autonomous driving via large language model,
Reference 21
Source-reported events for the cited work
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Observation d9dbc0b1-dec9-475a-a7f2-4b8a92ef27b2 · outbound
Just Noticeable Difference for Large Multimodal Models Measuring contrast sensitivity,
Reference 22
Source-reported events for the cited work
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Observation 2da72076-bacb-42ef-86c0-4fc255e4294f · outbound
Just Noticeable Difference for Large Multimodal Models High and low contrast acuity and clinical contrast sensitivity tested in a normal population,
Reference 23
Source-reported events for the cited work
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Observation 462bca99-06e0-4090-85dd-7c3da0be247e · outbound
Just Noticeable Difference for Large Multimodal Models Luminance-model-based dct quantization for color image compression,
Reference 24
Source-reported events for the cited work
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Observation c61baf1f-ebd0-406e-b96c-bb0ddad6b86d · outbound
Just Noticeable Difference for Large Multimodal Models Spatio-temporal just noticeable distortion profile for grey scale image/video in dct domain,
Reference 25
Source-reported events for the cited work
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Observation 60df0eb7-3615-4b55-a769-fb39eeaa8104 · outbound
Just Noticeable Difference for Large Multimodal Models A wavelet visible difference predictor,
Reference 26
Source-reported events for the cited work
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Observation 89435b52-345c-4d79-85c1-fa2cae962aab · outbound
Just Noticeable Difference for Large Multimodal Models Toward top- down just noticeable difference estimation of natural images,
Reference 27
Source-reported events for the cited work
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Observation 4f98d5af-ea19-497b-8dd8-ee038a258abf · outbound
Just Noticeable Difference for Large Multimodal Models A novel dct-based jnd model for luminance adaptation effect in dct frequency,
Reference 28
Source-reported events for the cited work
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Observation 52302278-ddcc-46e6-ae2d-3d6c186cc035 · outbound
Just Noticeable Difference for Large Multimodal Models Separate visual pathways for perception and action,
Reference 29
Source-reported events for the cited work
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Observation 3fbd7701-a2d7-4879-89f9-a0aca907063f · outbound
Just Noticeable Difference for Large Multimodal Models Magicbrush: A manually annotated dataset for instruction-guided image editing,
Reference 30
Source-reported events for the cited work
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Observation dc876aba-97bc-4241-8eaf-149c488b1016 · outbound
Just Noticeable Difference for Large Multimodal Models Joint luminance-chrominance learning for image debanding,
Reference 31
Source-reported events for the cited work
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Observation 738373ca-5f1c-4a2d-bddb-4680cabb1988 · outbound
Just Noticeable Difference for Large Multimodal Models Algorithmic optimiza- tions in the hmax model targeted for efficient object recognition,
Reference 32
Source-reported events for the cited work
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Observation aee07605-a6b0-48fe-96f5-88c99753178a · outbound
Just Noticeable Difference for Large Multimodal Models Cortico-cortical feedback engages active dendrites in visual cortex,
Reference 33
Source-reported events for the cited work
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Observation 2f963c55-d5bb-4b36-ad33-2f67a86e1744 · outbound
Just Noticeable Difference for Large Multimodal Models The human visual cortex,
Reference 34
Source-reported events for the cited work
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Observation 51fc0f9f-1f68-49f0-9571-52ff60857be3 · outbound
Just Noticeable Difference for Large Multimodal Models Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi,
Reference 35
Source-reported events for the cited work
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Observation c3f92a25-6fc7-450a-ad2e-2de5bada2304 · outbound
Just Noticeable Difference for Large Multimodal Models How do the two visual streams interact with each other?
Reference 36
Source-reported events for the cited work
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Observation 3bd1b378-1a1a-40dc-8a15-c04ff5e6413f · outbound
Just Noticeable Difference for Large Multimodal Models OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?
Reference 37
Source-reported events for the cited work
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Observation 2a9d38e8-2664-47c0-bc29-5861b0bb7d49 · outbound
Just Noticeable Difference for Large Multimodal Models Transfer learning for just noticeable difference estimation,
Reference 38
Source-reported events for the cited work
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Observation bb41de42-4fd8-4736-851b-c9ddbf9f7f2a · outbound
Just Noticeable Difference for Large Multimodal Models Visual jnd: A perceptual measurement in video coding,
Reference 39
Source-reported events for the cited work
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Observation effa2099-489f-46c3-8112-d4f15a980fe7 · outbound
Just Noticeable Difference for Large Multimodal Models A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile,
Reference 40
Source-reported events for the cited work
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Observation de6fa2cc-4c44-46e6-aa34-841fc9223792 · outbound
Just Noticeable Difference for Large Multimodal Models Perceptual video coding for machines via satisfied machine ratio modeling,
Reference 41
Source-reported events for the cited work
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Observation 08b8902f-f697-4712-ab61-431d9f3a6850 · outbound
Just Noticeable Difference for Large Multimodal Models Just noticeable difference for deep machine vision,
Reference 42
Source-reported events for the cited work
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Observation 7f321ca8-626d-4f6d-8c06-954320e7b899 · outbound
Just Noticeable Difference for Large Multimodal Models Bband index: A no-reference banding artifact predictor,
Reference 43
Source-reported events for the cited work
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Observation c3d0cf7a-76a7-4a5c-93d4-3c760d631238 · outbound
Just Noticeable Difference for Large Multimodal Models Methodology for the subjective assessment of the quality of television pictures,
Reference 44
Source-reported events for the cited work
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Observation ebaf6a98-4fec-4a81-af06-00c97d644918 · outbound
Just Noticeable Difference for Large Multimodal Models A broad-coverage challenge corpus for sentence understanding through inference,
Reference 45
Source-reported events for the cited work
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Observation 1d22ed78-27a9-47cf-9510-d4897e873c88 · outbound
Just Noticeable Difference for Large Multimodal Models Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,
Reference 46
Source-reported events for the cited work
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Observation d64baa8e-7e78-4f83-adcc-9aca170bc3c7 · outbound
Just Noticeable Difference for Large Multimodal Models Fs-band: A frequency-sensitive banding detector,
Reference 47
Source-reported events for the cited work
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Observation c1495f21-7491-40e1-97a5-776a0f875682 · outbound
Just Noticeable Difference for Large Multimodal Models Band-2k: Banding artifact noticeable database for banding detection and quality assessment,
Reference 48
Source-reported events for the cited work
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Observation 2846c634-2cd7-4326-8db8-19c59c00c6e3 · outbound
Just Noticeable Difference for Large Multimodal Models Videoset: A large-scale compressed video quality dataset based on jnd measurement,
Reference 49
Source-reported events for the cited work
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Observation 6aed3f9e-0121-496d-984c-5ee84bc1cd4c · outbound
Just Noticeable Difference for Large Multimodal Models Statistical study on perceived jpeg image quality via mcl-jci dataset construction and analysis,
Reference 50
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Just Noticeable Difference for Large Multimodal Models Just noticeable distortion profile inference: A patch-level structural visibility learning approach,
Reference 51
Source-reported events for the cited work
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Observation 00fec1ac-1804-43a2-96c8-5d013249af5e · outbound
Just Noticeable Difference for Large Multimodal Models Audio–video collaborative jnd estimation model for multimedia applications,
Reference 52
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Observation 9f69f5c8-dc71-48c9-b7ab-9de2aada11b3 · outbound
Just Noticeable Difference for Large Multimodal Models Unresolved cited work
Reference 53
Source-reported events for the cited work
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Just Noticeable Difference for Large Multimodal Models On the robustness of large multimodal models against image adversarial attacks,
Reference 54
Source-reported events for the cited work
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Observation 2d237666-e216-4786-a58f-9133fbd476da · outbound
Just Noticeable Difference for Large Multimodal Models Eyes wide shut? exploring the visual shortcomings of multimodal llms,
Reference 55
Source-reported events for the cited work
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Just Noticeable Difference for Large Multimodal Models Visionzip: Longer is better but not necessary in vision language models,
Reference 56
Source-reported events for the cited work
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Observation 7e154850-30ac-4e4d-b16f-12ce1b744900 · outbound
Just Noticeable Difference for Large Multimodal Models Learning to predict object-wise just recognizable distortion for image and video compression,
Reference 57
Source-reported events for the cited work
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Observation c4c6fcb0-92ec-46fe-83aa-4e17cfb47220 · outbound
Just Noticeable Difference for Large Multimodal Models Deep learning-based picture-wise just noticeable distortion prediction model for image compression,
Reference 58
Source-reported events for the cited work
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Observation d42a5f9d-1007-4b69-8a53-05b22ea5ca1e · outbound
Just Noticeable Difference for Large Multimodal Models Large-scale crowdsourced subjective assessment of picturewise just noticeable difference,
Reference 59
Source-reported events for the cited work
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Observation 69729ed6-3059-4b20-af91-b4a8f81f2fc5 · outbound
Just Noticeable Difference for Large Multimodal Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Reference 60
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Just Noticeable Difference for Large Multimodal Models Unresolved cited work
Reference 61
Source-reported events for the cited work
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Observation 605e3009-96ff-40a9-9b1b-43dd37d93f20 · outbound
Just Noticeable Difference for Large Multimodal Models Gaia: Rethinking action quality assessment for ai-generated videos,
Reference 62
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Observation 278200d1-3aaf-4cc5-96ac-d3f5309dab3b · outbound
Just Noticeable Difference for Large Multimodal Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 63
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Observation 872f8456-a986-4364-855b-e5f1f8900fae · outbound
Just Noticeable Difference for Large Multimodal Models On the foundations of vision modeling: I. weber’s law and weberized tv restoration,
Reference 64
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Just Noticeable Difference for Large Multimodal Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Reference 65
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Just Noticeable Difference for Large Multimodal Models Qwen2.5-VL Technical Report
Reference 66
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Just Noticeable Difference for Large Multimodal Models Smolvlm - small yet mighty vision language model,
Reference 67
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Observation 058e8635-5bac-4dd1-aa5a-97ce6729cbbf · outbound
Just Noticeable Difference for Large Multimodal Models The first comprehensive dataset with multiple distortion types for visual just-noticeable differences,
Reference 68
Source-reported events for the cited work
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Observation ad6d32b4-6948-4702-b6e1-c9ca4d535944 · outbound
Just Noticeable Difference for Large Multimodal Models Picture- level just noticeable difference for symmetrically and asymmetri- cally compressed stereoscopic images: Subjective quality assess- ment study and datasets,
Reference 69
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Just Noticeable Difference for Large Multimodal Models Measure and prediction of hevc perceptually lossy/lossless boundary qp values,
Reference 70
Source-reported events for the cited work
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Observation 21501c7e-ce82-4578-bdfa-cb953da6572a · outbound
Just Noticeable Difference for Large Multimodal Models A survey on multimodal large language models,
Reference 71
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Observation b5b5ee19-9ebe-44ce-b5d9-a01653385301 · outbound
Just Noticeable Difference for Large Multimodal Models Progress and opportunities in modelling just-noticeable difference (jnd) for multimedia,
Reference 72
Source-reported events for the cited work
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Observation 1ac50185-9c9d-4b52-80c6-325fa470db7f · outbound
Just Noticeable Difference for Large Multimodal Models Jpeg aic-3 dataset: towards defining the high quality to nearly visually lossless quality range,
Reference 73
Source-reported events for the cited work
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Observation bd154caa-fe27-4cee-956b-374d1ec55f48 · outbound
Just Noticeable Difference for Large Multimodal Models The r3vival dataset: Repository of room responses and 360 videos of a variable acoustics lab,
Reference 74
Source-reported events for the cited work
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Observation 3b5682f7-4f28-4834-b51d-0476e53a86fc · outbound
Just Noticeable Difference for Large Multimodal Models Jnd- pano: Database for just noticeable difference of jpeg compressed panoramic images,
Reference 75
Source-reported events for the cited work
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Observation b9fa0a11-cba6-4d2d-8cad-02b554d6d439 · outbound
Just Noticeable Difference for Large Multimodal Models Per- ceptual visual signal compression and transmission,
Reference 76
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Observation 1ffb1e38-423b-477f-af13-f6bc75d054b1 · outbound
Just Noticeable Difference for Large Multimodal Models Survey of visual just noticeable difference estimation,
Reference 77
Source-reported events for the cited work
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Observation a3d19a8a-427d-4758-b754-731de55c1d59 · outbound
Just Noticeable Difference for Large Multimodal Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 78
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Observation 69e9bdae-5c76-42fe-b43a-c4881525d541 · outbound
Just Noticeable Difference for Large Multimodal Models From just noticeable differences to image quality,
Reference 79
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Observation a5b1c13f-953c-4a0b-b6c8-49ce072921df · outbound
Just Noticeable Difference for Large Multimodal Models Q-bench: A benchmark for general- purpose foundation models on low-level vision,
Reference 80
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Just Noticeable Difference for Large Multimodal Models MM-LLMs: Recent Advances in MultiModal Large Language Models
Reference 81
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Observation 982b9b66-8e80-4c56-b921-896c2d1ec65c · outbound
Just Noticeable Difference for Large Multimodal Models Multimodal large language models: A survey,
Reference 82
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Just Noticeable Difference for Large Multimodal Models Mcl-jcv: a jnd- based h. 264/avc video quality assessment dataset,
Reference 83
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Just Noticeable Difference for Large Multimodal Models Pattern complexity-based jnd estimation for quantization water- marking,
Reference 84
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Observation e0c0841a-52d3-4656-ba1a-b124e48c6a82 · outbound
Just Noticeable Difference for Large Multimodal Models Image quality assessment using the ssim and the just noticeable difference paradigm,
Reference 85
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Just Noticeable Difference for Large Multimodal Models Hierarchical predictive coding-based jnd estimation for image compression,
Reference 86
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Just Noticeable Difference for Large Multimodal Models Sg-jnd: Semantic-guided just noticeable distortion predictor for image compression,
Reference 87
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Just Noticeable Difference for Large Multimodal Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 88
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Observation 37ebc324-eb52-45f2-9452-0be6ffa5a6db · outbound
Just Noticeable Difference for Large Multimodal Models Hello gpt-4o,
Reference 89
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Observation c966998c-fb08-4382-b0ef-f4406a9a5b0e · outbound
Just Noticeable Difference for Large Multimodal Models Gemini 2.5: Updates to our family of thinking models,
Reference 90
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Observation 949a698e-d661-43d8-b1b8-e435b42c8cbf · outbound
Just Noticeable Difference for Large Multimodal Models LLaVA-OneVision: Easy Visual Task Transfer
Reference 91
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Observation 0878a9de-c016-42c2-bc2d-b1f6b2efa25f · inbound
PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Just Noticeable Difference for Large Multimodal Models
Reference 31
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Beyond Single Character: Evaluating MLLMs for Sentence-Level Oracle Bone Inscription Understanding Just Noticeable Difference for Large Multimodal Models
Reference 5
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