Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:27:47.245370Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2507.08410.
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 2026-08-06T18:27:47.245370Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
86 of 86 outbound references displayed
External citation measurements
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Observation 9156d484-00be-4473-948a-c2cad2f6b3c9 · outbound
Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning transferable visual models from natural language supervision,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Why are Visually-Grounded Language Models Bad at Image Classification?
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Eva: Exploring the limits of masked visual representation learning at scale,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning to prompt for vision-language models,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Consistency-guided Prompt Learning for Vision-Language Models
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Large Language Models are Good Prompt Learners for Low-Shot Image Classification
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Improved zero-shot classification by adapting vlms with text descriptions,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Bilateral adaptive cross-modal fusion prompt learning for clip,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Unified Vision and Language Prompt Learning
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Visual prompt tuning,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Enhancing clip with gpt-4: Harnessing visual descriptions as prompts,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Extract free dense labels from clip,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Maskclip: Masked self-distillation advances contrastive language-image pretraining,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Clip-actor: Text-driven recom- mendation and stylization for animating human meshes,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Motionclip: Exposing human motion generation to clip space,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models High- resolution image synthesis with latent diffusion models,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip,
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Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Transformers: State-of-the-art natural language processing,
Reference 80
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 934244d5-50ea-42da-a768-6dbe291ce291 · outbound
Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Modality- consistent prompt tuning with optimal transport,
Reference 81
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c1c080de-e9d9-4f7d-8580-e4b6fec02d7c · outbound
Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Hierarchy- aware interactive prompt learning for few-shot classification,
Reference 82
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b8cd94c3-82c5-4186-96e5-eb32b176a837 · outbound
Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Language-driven visual consensus for zero-shot semantic segmentation,
Reference 83
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0626ab68-3e72-4287-8bd3-3356f62aaa44 · outbound
Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Pedestrian attribute recognition via clip based prompt vision-language fusion,
Reference 84
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d0247ef0-75df-4c82-9424-44f458c37556 · outbound
Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Understanding and mitigating overfitting in prompt tuning for vision-language models,
Reference 85
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Observation 536fa8b1-0817-4ccd-873a-84eb3ba6cabb · outbound
Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Clipood: Generalizing clip to out-of-distributions,
Reference 86
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
No inbound Pith citation observations are available.