Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:41:45.954845Z
Paper Citation Record · LEDGER
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset
As of 15 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2506.01738.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
86 of 86 outbound references displayed
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- verified fuzzy37
- unresolved49
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 48efcff6-b4d3-4560-a46e-732fc4eec187 · outbound
This paper cites ITU-R Rec.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset ITU-R Rec
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 64375bc7-713e-4ba1-b12d-4fead49fa700 · outbound
This paper cites GPT-4 Technical Report.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset GPT-4 Technical Report
Reference 3
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Source-reported events for the cited work
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Observation c26dd91f-91ef-4bec-b177-8a110403c479 · outbound
This paper cites Qwen Technical Report.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Qwen Technical Report
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bd38879-55f5-4d1b-9dd6-d3c06e26c427 · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32637ee5-b018-43cc-b171-1167dcf8e333 · outbound
This paper cites Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset
Reference 6
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Source-reported events for the cited work
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Observation 15592c2a-2529-48ab-a4e7-2c699772bb1f · outbound
This paper cites Using ranking-CNN for age estimation.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Using ranking-CNN for age estimation
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a5a414c-3f3f-4cc6-a5e0-a0dea53eb3e4 · outbound
This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset PaLI: A Jointly-Scaled Multilingual Language-Image Model
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa3f6c67-8b3f-4a8c-b7b3-37fdfa9c163b · outbound
This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ab120c8-ff92-4fa3-a548-c34f7f2adbb0 · outbound
This paper cites Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality
Reference 10
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db9b99a9-37fc-4434-a30d-644d91f55354 · outbound
This paper cites Soft labels for ordinal regression.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Soft labels for ordinal regression
Reference 11
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da309fbb-8f42-4730-9f76-6cfe4d68660d · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea5582a3-46c1-4ca1-9f97-1a1d62e78854 · outbound
This paper cites Teach CLIP to develop a number sense for ordinal regression.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Teach CLIP to develop a number sense for ordinal regression
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c226f87-0456-4b1d-9e68-395cb1ef0a5c · outbound
This paper cites Diabetic retinopathy detection (2015).
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Diabetic retinopathy detection (2015)
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 8bf600ab-8776-4b02-821b-84905882de5c · outbound
This paper cites Perceptual quality assessment of smartphone photography.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Perceptual quality assessment of smartphone photography
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation f78a2149-28fc-4545-9c07-66993fe318e5 · outbound
This paper cites A simple approach to ordinal classification.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset A simple approach to ordinal classification
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 24e83b33-aa71-4fa0-8ffc-e42d6f7a8ee9 · outbound
This paper cites Deep ordinal regression network for monocular depth estimation.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Deep ordinal regression network for monocular depth estimation
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 9c5a68cd-2626-4884-a9d0-6a05f6d20b59 · outbound
This paper cites Facial age estimation by learning from label distribu- tions.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Facial age estimation by learning from label distribu- tions
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 649e96d6-3324-450f-b7b5-b1f4cea2561b · outbound
This paper cites Massive online crowdsourced study of subjective and objective picture quality.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Massive online crowdsourced study of subjective and objective picture quality
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation 6a65e19f-7b0d-44cc-aa1e-24025548fbb1 · outbound
This paper cites A V A: A video dataset of spatio-temporally localized atomic visual actions.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset A V A: A video dataset of spatio-temporally localized atomic visual actions
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 8c9b9920-cef3-432d-967c-ab24b197084d · outbound
This paper cites Rethinking image aesthetics assessment: Models, datasets and benchmarks.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Rethinking image aesthetics assessment: Models, datasets and benchmarks
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 1da7bc38-b928-46e8-a733-7b34303b89da · outbound
This paper cites KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 39c9ac2c-97d3-4230-953d-1473c0e0e4c4 · outbound
This paper cites LoRA: Low-rank adaptation of large language models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset LoRA: Low-rank adaptation of large language models
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 985d1775-92d3-4c97-bd3e-c530f280ea3a · outbound
This paper cites and Tamirat Tesafaye.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset and Tamirat Tesafaye
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 59b23d50-0a81-49ec-9d74-b6ea1e1e2429 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset APTOS 2019 blindness detection
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 8c7517d0-cd52-4539-b581-0f1c95718f29 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Generating images with multimodal language models
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 11113140-16c8-4c23-abf7-a76ebf07b908 · outbound
This paper cites LISA: Reasoning Segmentation via Large Language Model.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset LISA: Reasoning Segmentation via Large Language Model
Reference 27
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Source-reported events for the cited work
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Observation 61b40e72-401c-46d6-9a4b-816daf181223 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Deep repulsive clustering of ordered data based on order- identity decomposition
Reference 28
- Resolution
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Observation 113dcc0b-fad4-46ac-8cf9-748009a0180e · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Age and gender classification using convolutional neural networks
Reference 29
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Source-reported events for the cited work
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Observation a836edaf-6aff-4960-be37-2024856d5f8e · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Reference 30
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Source-reported events for the cited work
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Observation f3fc91f8-d063-44f5-a936-c406e46da75c · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset BLIP: Bootstrapping language- image pre-training for unified vision-language understanding and generation
Reference 31
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Ordinal regression by extended binary classification
Reference 32
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Observation a9fe9de4-a93b-44d3-8c5d-1da25cbe8919 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Learning probabilistic ordi- nal embeddings for uncertainty-aware regression
Reference 33
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Observation b2d9d653-4984-43c2-9b5e-d940b56c2178 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset OrdinalCLIP: Learning rank prompts for language-guided ordinal regression
Reference 34
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Observation fe0280de-c759-4176-aace-871854251637 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
Reference 35
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Order learning and its application to age estimation
Reference 36
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Observation 99318978-0529-4e63-aa6d-15e2379e510d · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Improved baselines with visual instruction tuning, 2023
Reference 37
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Visual instruction tuning
Reference 38
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset DeepDRiD: Diabetic retinopathy—grading and image quality estimation challenge
Reference 39
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Deep ordinal regression based on data relationship for small datasets
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation 12ab238b-f708-479f-96a0-72cbd0e00117 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset A constrained deep neural network for ordinal regression
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation 32379c1d-cf7e-42e1-a5a1-db02b10451d9 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Probabilistic deep ordinal regression based on Gaussian processes
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation f3d060e5-8a46-4f45-aa6c-994af158da1c · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Cheap and quick: Efficient vision-language instruction tuning for large language models
Reference 43
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Source-reported events for the cited work
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Observation 4049f57e-15af-4d21-b845-67b4af4e8ae6 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Dating historical color images
Reference 44
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Source-reported events for the cited work
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Observation dbc733e0-8470-4bf6-bec1-56048caec544 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset StraIT: Non-autoregressive Generation with Stratified Image Transformer
Reference 45
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Source-reported events for the cited work
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Learning transferable visual models from natural language supervision
Reference 46
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Source-reported events for the cited work
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Observation 3fe8e758-c5ea-4192-9e92-490f9f1182d8 · outbound
This paper cites Learning transferable visual models from natural language supervision.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Learning transferable visual models from natural language supervision
Reference 47
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Source-reported events for the cited work
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Deep expectation of real and apparent age from a single image without facial landmarks
Reference 48
- Resolution
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Source-reported events for the cited work
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Observation a1a457e0-91e4-48f4-a7b8-0e3d694dfd4b · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset HuggingGPT: Solving ai tasks with ChatGPT and its friends in hugging face
Reference 49
- Resolution
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Source-reported events for the cited work
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Observation 40ead950-642b-44f2-98de-764ac4f42131 · outbound
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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Moving window regression: A novel approach to ordinal regression
Reference 50
- Resolution
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Source-reported events for the cited work
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Observation 1d3cd1f5-3aaa-496d-909a-079da2fbccb0 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Gemini: A Family of Highly Capable Multimodal Models
Reference 51
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Source-reported events for the cited work
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Observation 9cbd0fc9-79b0-4e4f-84db-c627044890c4 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset LLaMA: Open and Efficient Foundation Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.557980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3f923ab-af1c-4e9c-abf7-01b0eee8fdec · outbound
This paper cites Ord2Seq: Regarding ordinal regression as label sequence prediction.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Ord2Seq: Regarding ordinal regression as label sequence prediction
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:07.684603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29f86852-257e-40d0-9f73-bf1aa80748a5 · outbound
This paper cites Learning-to- rank meets language: Boosting language-driven ordering alignment for ordinal classification.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Learning-to- rank meets language: Boosting language-driven ordering alignment for ordinal classification
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:07.660806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3b8c0aeb-1a16-42fb-97e6-11fe07fa9861 · outbound
This paper cites CogVLM: Visual Expert for Pretrained Language Models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset CogVLM: Visual Expert for Pretrained Language Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.575021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f506f633-26e2-4ae6-bae8-859db88fab4f · outbound
This paper cites VisionLLM: Large language model is also an open-ended decoder for vision-centric tasks.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset VisionLLM: Large language model is also an open-ended decoder for vision-centric tasks
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:07.638795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1896a52f-be55-47eb-8670-0135fce85bea · outbound
This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.584826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0bbe672-2ec6-4d8e-b133-43e072b6d21b · outbound
This paper cites Q-Bench: A benchmark for general-purpose foundation models on low-level vision.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Q-Bench: A benchmark for general-purpose foundation models on low-level vision
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:07.617607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d46953ed-94ab-4b7f-9676-3bdd2604202f · outbound
This paper cites Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.598200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84741159-a626-41a1-a0a5-87d135d9fb88 · outbound
This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.603653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5473ffa8-f4fe-4703-8b8c-60865f78cf0e · outbound
This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.608949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7aa4ca83-908f-4536-b33d-39453273bcd2 · outbound
This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.614543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffe94371-9feb-4a6e-becc-1e14a431a0cb · outbound
This paper cites GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.624615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 564fd652-22a4-4708-b7b7-8a337c2951de · outbound
This paper cites Age progression/regression by conditional adver- sarial autoencoder.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Age progression/regression by conditional adver- sarial autoencoder
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:07.598929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 83d50c66-a655-4fc1-80d8-e27d84467c49 · outbound
This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.636103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b081692f-0a49-4923-9733-6e860d28dc38 · outbound
This paper cites MoVA: Adapting Mixture of Vision Experts to Multimodal Context.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset MoVA: Adapting Mixture of Vision Experts to Multimodal Context
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.645267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 496e8e50-3964-4823-8868-44b4310db3dd · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.578133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1142e179-4943-42af-a3d8-81bc5ea1ca6e · outbound
This paper cites (a) Did you state the full set of assumptions of all theoretical results? [NA] (b) Did you include complete proofs of all theoretical results? [NA].
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset (a) Did you state the full set of assumptions of all theoretical results? [NA] (b) Did you include complete proofs of all theoretical results? [NA]
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:45.665243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c42ac8c5-e19b-470d-8ad3-c531492b1ae4 · outbound
This paper cites for benchmarks).
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset for benchmarks)
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:07.535976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86d22b7b-b7a4-4b70-bc07-c3653a0d7a5f · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.510874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 23e7e30c-9d78-4db0-b27d-5cbf4195a047 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.489071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4604e6fb-c779-4566-9d37-410edb684d02 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.446414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation df9f9520-4d43-4c3d-b6f0-0a8b61caf085 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.424456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4b5387d3-9e16-4442-ab5c-103de4c64e3e · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.404663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f20801d4-b345-4311-8bf3-c24ea2c6424b · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 76
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.376035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 881dc3e8-d910-46e3-a13b-1c21df372d46 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 77
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.336940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9d1349cf-50a5-4a9e-81ff-874683d6d11d · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 78
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.315762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dbf26c28-7f69-4017-8d4a-7a32ff5375a5 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 79
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.295063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6551b1a3-cc60-48bf-8925-8c11429ef6a4 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 80
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.273526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29592a58-8a6a-4c43-a050-f1e34544656e · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.251845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6017a24f-302a-4416-a205-db0d13c5732d · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 82
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.228201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b73a12e4-3897-4c57-8c4e-3be948b6fa48 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 83
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.200225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c13abde2-f530-4d1f-8d5f-d0f8876480c6 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 84
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.173786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74b7eb04-54a5-44a8-9c13-373ede481376 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 85
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.146131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 857c7449-5f96-456e-8db7-3c8a2a7d01a0 · outbound
This paper cites an unresolved cited work.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Unresolved cited work
Reference 86
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:07.119073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7a549368-dff7-449a-a3c1-ada6bbbb9513 · outbound
This paper cites Answer: [Coarse answer], [Predicted Phase] 11 F Limitations The definitions of labels for different domain tasks are quite diverse.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset Answer: [Coarse answer], [Predicted Phase] 11 F Limitations The definitions of labels for different domain tasks are quite diverse
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:02.306459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7949144e-9d0a-43b4-b040-0f3824226b57 · outbound
This paper cites To conserve GPU memory during fine-tuning, we employ FSDP (Full Shard Data Parallel) with ZeRO3-style.
STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset To conserve GPU memory during fine-tuning, we employ FSDP (Full Shard Data Parallel) with ZeRO3-style
Reference 128
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:07.468031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.