Tootfinder

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
Jiwen Yu, Jianhong Bai, Yiran Qin, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu
https://arxiv.org/abs/2506.03141

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
Recent advances in interactive video generation have shown promising results, yet existing approaches struggle with scene-consistent memory capabilities in long video generation due to limited use of historical context. In this work, we propose Context-as-Memory, which utilizes historical context as memory for video generation. It includes two simple yet effective designs: (1) storing context in frame format without additional post-processing; (2) conditioning by concatenating context and frame…

Découvrez l'histoire poignante de 4 générations de victimes et de plus d'une centaine d'enfants sur https://chardonsbleus.org/contexte-4-generations-de-victimes-une-centaine-denfants-okc/ 💔

This week’s edition of my @… newsletter shines a light on the impact of the Model Context Protocol (MCP) across multiple computing eras—leading right up to today.
We’ve arrived at a moment where loose coupling principles are cool (and super useful) again.
Naturally, there are some live demo nuggets in the post to help bring it all to life:
🔗

The Model Context Protocol: Bridging Generational Computing Experiences
The Model Context Protocol (MCP) is emerging as a transformative force in computing, with its significance uniquely appreciated across generational lines. This new protocol serves as crucial middleware for LLM-powered productivity tools, addressing needs that previous computing paradigms couldn't fu

sp_office: Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.
This network has 92 nodes and 9827 edges.
Tags: Social, Offline, Weighted, Temporal, Metadata
https://networks.skewed.de/net/sp_offi

Figma releases Dev Mode Model Context Protocol server, which provides more context about how AI designs are created in Figma (Jess Weatherbed/The Verge)
https://www.theverge.com/news/679439/figma-dev-mode-mcp-server-beta-release

Figma will let your AI access its design servers
Figma is launching a Dev Mode MCP Server that can help AI models more effectively translate designs into fully coded applications.

This https://arxiv.org/abs/2505.17433 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
Memes have emerged as a popular form of multimodal online communication, where their interpretation heavily depends on the specific context in which they appear. Current approaches predominantly focus on isolated meme analysis, either for harmful content detection or standalone interpretation, overlooking a fundamental challenge: the same meme can express different intents depending on its conversational context. This oversight creates an evaluation gap: although humans intuitively recognize ho…

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol Ecosystem
Hao Song, Yiming Shen, Wenxuan Luo, Leixin Guo, Ting Chen, Jiashui Wang, Beibei Li, Xiaosong Zhang, Jiachi Chen
https://arxiv.org/abs/2506.02040

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol Ecosystem
The Model Context Protocol (MCP) is an emerging standard designed to enable seamless interaction between Large Language Model (LLM) applications and external tools or resources. Within a short period, thousands of MCP services have already been developed and deployed. However, the client-server integration architecture inherent in MCP may expand the attack surface against LLM Agent systems, introducing new vulnerabilities that allow attackers to exploit by designing malicious MCP servers. In th…

Long-range electrical conductivity in non-$\pi$-conjugated organic molecular materials
H. Mager, A. A. Butkevich, S. Klubertz, S. V. Haridas, O. Shyshov, V. C. Wakchaure, J. Borstelmann, I. Michalsky, M. Garc\'ia-Iglesias, V. Rodr\'iguez, D. Gonz\'alez-Rodr\'iguez, A. R. A. Palmans, M. Kivala, M. von Delius, M. Kemerink
https://

Long-range electrical conductivity in non-$π$-conjugated organic molecular materials
Electronic conductivity in organic materials is well-established. Moreover, semiconductive or metallic behavior in (quasi) 0-, 1-, 2- and 3-dimensional carbon-based materials has been demonstrated and understood and is nowadays widely applied in commercial devices. Despite the large structural variety, these materials commonly have an extended $π$-system, formed by sp2-hybridized carbon atoms, which is responsible for the conductivity. Here, we present a class of organic molecular materials th…

sp_high_school: High school temporal contacts (2013)
These data sets correspond to the contacts and friendship relations between students in a high school in Marseilles, France, in December 2013, as measured through several techniques.
This network has 329 nodes and 188508 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

This https://arxiv.org/abs/2505.21863 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning
Publicly significant images from events hold valuable contextual information, crucial for journalism and education. However, existing methods often struggle to extract this relevance accurately. To address this, we introduce GETReason (Geospatial Event Temporal Reasoning), a framework that moves beyond surface-level image descriptions to infer deeper contextual meaning. We propose that extracting global event, temporal, and geospatial information enhances understanding of an image's significanc…