Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:32:29.286029Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2502.05660.
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 2026-08-08T18:32:29.286029Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-03T21:20:00.041277Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:28:58.443236Z
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Evaluating Vision-Language Models for Emotion Recognition GPT-4 Technical Report
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Evaluating Vision-Language Models for Emotion Recognition Unresolved cited work
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Evaluating Vision-Language Models for Emotion Recognition Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
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Evaluating Vision-Language Models for Emotion Recognition Socratis: Are large multimodal models emotionally aware?
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Evaluating Vision-Language Models for Emotion Recognition Unresolved cited work
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Evaluating Vision-Language Models for Emotion Recognition Contextual Emotion Recognition using Large Vision Language Models
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Evaluating Vision-Language Models for Emotion Recognition Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking
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Evaluating Vision-Language Models for Emotion Recognition Do Moral Judgment and Reasoning Capability of LLMs Change with Language? A Study using the Multilingual Defining Issues Test
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Evaluating Vision-Language Models for Emotion Recognition Large Language Models Understand and Can be Enhanced by Emotional Stimuli
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Evaluating Vision-Language Models for Emotion Recognition Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
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Evaluating Vision-Language Models for Emotion Recognition Unresolved cited work
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Evaluating Vision-Language Models for Emotion Recognition EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
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Evaluating Vision-Language Models for Emotion Recognition Can Generative Agents Predict Emotion?
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Evaluating Vision-Language Models for Emotion Recognition Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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Evaluating Vision-Language Models for Emotion Recognition Cobo, Carlos De Las Heras-Pedrosa, José Ignacio Peláez, and Enrique Herrera-Viedma
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Evaluating Vision-Language Models for Emotion Recognition LLaMA: Open and Efficient Foundation Language Models
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Evaluating Vision-Language Models for Emotion Recognition EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning
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