Tootfinder

VisFinEval: A Scenario-Driven Chinese Multimodal Benchmark for Holistic Financial Understanding
Zhaowei Liu, Xin Guo, Haotian Xia, Lingfeng Zeng, Fangqi Lou, Jinyi Niu, Mengping Li, Qi Qi, Jiahuan Li, Wei Zhang, Yinglong Wang, Weige Cai, Weining Shen, Liwen Zhang
https://arxiv.org/abs/2508.09641

VisFinEval: A Scenario-Driven Chinese Multimodal Benchmark for Holistic Financial Understanding
Multimodal large language models (MLLMs) hold great promise for automating complex financial analysis. To comprehensively evaluate their capabilities, we introduce VisFinEval, the first large-scale Chinese benchmark that spans the full front-middle-back office lifecycle of financial tasks. VisFinEval comprises 15,848 annotated question-answer pairs drawn from eight common financial image modalities (e.g., K-line charts, financial statements, official seals), organized into three hierarchical sc…

#Brightline , the only privately run inter-city rail route in the United States that keeps getting handouts from government is in bad financial position.
They mainly offer service in Florida right now but are planning extension in California/Nevada
Turns out private rail might be hard to make money from, what a surprise.

Trump said on Friday that he will send national guard troops to Memphis as part of his administration’s expanding military occupation of Democratic-run cities
“I think maybe I’ll be the first to say it right now: we’re going to Memphis,” said Trump while strumming a guitar.
The Memphis mayor, Paul Young, had signaled the intervention was coming.
“Earlier this week I was informed that the government and the president were considering deploying the national guard,”
he sa…

Towards Interpretable Deep Neural Networks for Tabular Data
Khawla Elhadri, J\"org Schl\"otterer, Christin Seifert
https://arxiv.org/abs/2509.08617 https://

Towards Interpretable Deep Neural Networks for Tabular Data
Tabular data is the foundation of many applications in fields such as finance and healthcare. Although DNNs tailored for tabular data achieve competitive predictive performance, they are blackboxes with little interpretability. We introduce XNNTab, a neural architecture that uses a sparse autoencoder (SAE) to learn a dictionary of monosemantic features within the latent space used for prediction. Using an automated method, we assign human-interpretable semantics to these features. This allows u…

“[Rubio’s] priorities speak volumes: financing Israel genocide on Palestine, torturing Cuba, going after health care services for those who need them most,”
Diplomat Johana Tablada.
USA can't tolerate Cuba's good example of free health care nor its international solidarity.
US sanctions Brazil health officials over Cuba’s overseas medical missions | Donald Trump News | Al Jazeera

US sanctions Brazil health officials over Cuba’s overseas medical missions
Washington claims the health officials were involved in Cuba’s ‘coercive labour export’ of medical workers.

Isto é interessante. Relatório sobre educação nos países da OCDE.
https://www.oecd.org/en/publications/education-at-a-glance-2024_c00cad36-en.html

Ukraine beantragt Finanzierungsprogramm beim Internationalen Währungsfonds
Die Ukraine hat offiziell ein neues Finanzierungsprogramm beim Internationalen Währungsfonds beantragt. Das sagte Premierministerin Julia Swyrydenko. "Heute habe ich bei dem Treffen dem IWF-Missionschef Gavin Gray einen Brief mit der Bitte um ein neues Kooperationsprogramm zur Unterstützung der Ukraine in den nächsten Jahren übergeben", erklärte sie au…
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Ukraine-Liveblog: ++ Selenskyj fordert schnelle Hilfe bei Luftabwehr ++
Der ukrainische Präsident Selenskyj bittet die Verbündeten um rasche Hilfe bei der Flugabwehr. Finnland sieht in der Senkung des Ölpreis-Deckels eine wirksame Methode, um Russlands Finanzen zu schwächen.

Multi-Scale Network Dynamics and Systemic Risk: A Model Context Protocol Approach to Financial Markets
Avishek Bhandari
https://arxiv.org/abs/2507.08065 https://

Multi-Scale Network Dynamics and Systemic Risk: A Model Context Protocol Approach to Financial Markets
This paper introduces a novel framework for analyzing systemic risk in financial markets through multi-scale network dynamics using Model Context Protocol (MCP) for agent communication. We develop an integrated approach that combines transfer entropy networks, agent-based modeling, and wavelet decomposition to capture information flows across temporal scales implemented in the MCPFM (Model Context Protocol Financial Markets) R package. Our methodology enables heterogeneous financial agents incl…

The shape of economics before and after the financial crisis
Alberto Baccini, Lucio Barabesi, Carlo Debernardi
https://arxiv.org/abs/2508.09079 https://arx…

The shape of economics before and after the financial crisis
This paper investigates the impact of the global financial crisis on the shape of economics as a discipline by analyzing EconLit-indexed journals from 2006 to 2020 using a multilayer network approach. We consider two types of social relationships among journals, based on shared editors (interlocking editorship) and shared authors (interlocking authorship), as well as two forms of intellectual proximity, derived from bibliographic coupling and textual similarity. These four dimensions are integr…

Causal Inference Under Network Interference
Subhankar Bhadra, Michael Schweinberger
https://arxiv.org/abs/2508.06808 https://arxiv.org/pdf/2508.06808

Causal Inference Under Network Interference
We review and conceptualize recent advances in causal inference under network interference, drawing on a complex and diverse body of work that ranges from causal inference, statistical network analysis, economics, the health sciences, and the social sciences. Network interference arises in connected populations when the treatment assignments of units affect the outcomes of other units. Examples include economic, financial, and public health interventions with spillover in connected populations,…