31 stories tagged with #causa, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Ser celíaco y no saberlo puede causar depresión, infertilidad o diabetes
La Federación de Asociaciones de Celíacos de España (Face) ha llamado la atención sobre los riesgos del infradiagnóstico…
Una gran causa
El periodismo puede ser de mejor o peor calidad, pero nació vinculado a una gran causa, la defensa del interés público con información veraz y el libre intercambio de ideas. Así, d…
Una gran causa
El periodismo puede ser de mejor o peor calidad, pero nació vinculado a una gran causa, la defensa del interés público con información veraz y el libre intercambio de ideas. Así, d…
Ser celíaco y no saberlo puede causar depresión, infertilidad o diabetes
La Federación de Asociaciones de Celíacos de España (Face) ha llamado la atención sobre los riesgos del infradiagnóstico…
SEPTIEMBRE. La gota fría más extrema desata el caos y causa graves daños en el Mar Menor
Día 1. Ciudadanos rescata a la expresidenta de la OMEP para la Dirección General de Bienestar Laboral.…
Facebook sabe que Instagram causa problemas de salud mental en muchos jóvenes
La información detallada en Wall Street Journal revela que los ejecutivos de la empresa prefieren ignorar en público el daño que la aplicación puede causar a sus usuarios. La compa…
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
arXiv:2607.09449v1 Announce Type: new Abstract: Bayesian causal discovery is widely used for its ability to quantify epistemic uncertainty over directed acyclic graphs (DAGs) throu…
Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
The do-calculus defines a general system of inference for interventional queries, allowing causal quantities to be transformed through successive applications of its rules. This pr…
Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection
In nature, events that affect some individuals or groups but not others constitute an implicit intervention and are known as natural experiments. For example, the COVID-19 pandemic…
I Built CausalLens — A Free, Open-Source Causal Impact Calculator for Time Series (5 Methods, Zero Setup)
I want to show you a tool I just open-sourced. It's called CausalLens, and it answers one specific...…
Explainable Causal Reinforcement Learning for planetary geology survey missions with embodied agent feedback loops
It was 3 AM, and I was staring at a terminal window filled with telemetry data from a simulated Mars rover. The reinforcement learning (RL) agent I had trained overnight had just c…
ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis
Causal analysis is a crucial task in many domains, including manufacturing, social science, and medicine. However, despite recent progress, the conceptual and methodological comple…
The Causal Effect of Income Is (Often) Zero
Evidence on the effect of income on health, education, crime, and child outcomes from lotteries and RCTs…
ChainFlow-VLA: Causal Flow Planning with Vision-Language Models
Current end-to-end autonomous driving systems are fundamentally limited by a mismatch between temporal causal reasoning and global trajectory consistency. Autoregressive (AR) model…
Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs
How do learners acquire knowledge of what is unacceptable without negative evidence? Construction Grammar proposes statistical preemption: exposure to a conventional form (e.g., "d…
MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection
Large language model agents increasingly rely on persistent memory to store past interactions, retrieve relevant demonstrations, and improve long-horizon task execution. However, t…
Quantum ‘Jamming’ Could Help Unlock the Mysteries of Causality
To keep communications secure in a post-quantum world, cryptographers are digging down into the concept of cause and effect.…
Debiasing Graph Neural Networks for Recommendation with Causal RL
How to use Inverse Propensity Scoring and Causal Embeddings to fix popularity bias in GNN recommender systems.…
Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions
Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is computationally prohibitive. W…
I am trying to pursue a phd to study disinfo and extremism. For that I needed a dynamic recursive modeling tool. So I built a non-markovian causal dynamic field theory. to test for scale invariance and med ind. This is a summary of the consequences, but how do I email Profs about pursuing a Phd?
The 'Causal Inference' Stress-Test.
First-Passage Prediction of Grokking Delay: ACalibrated Law under AdamW with Causal Validation
We give the first quantitative prediction of grokking delay under AdamW. Treating the delay as a first-passage time, we derive a closed-form law T_grok - T_mem = (1 / 2 kappa_LL et…
Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination
Modality-conflict hallucination occurs when multimodal large language models (MLLMs) prioritize erroneous textual premises over contradictory visual evidence. To understand why vis…
OCCAM: Open-set Causal Concept explAnation and Ontology induction for black-box vision Models
Interpreting the decisions of deep image classifiers remains challenging, particularly in black-box settings where model internals are inaccessible. We introduce OCCAM, a framework…
Causely: A Causal Intelligence Layer for Enterprise AI A Benchmark Study on SRE and Reliability Workflows
AI agents deployed into SRE workflows currently derive their understanding of environment state from raw observability telemetry at query time, paying a semantic-interpretation tax…
Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents
Long-horizon LLM agents rely on persistent memory to support interactions across sessions, yet existing memory systems often retrieve context using semantic similarity or broad his…
Is VLA Reasoning Faithful? Probing Safety of Chain-of-Causation
We present the first systematic study of faithfulness in Vision-Language-Action (VLA) driving models, analyzing 300 Alpamayo-R1-10B inferences across 100 diverse PhysicalAI-AV scen…
PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
Inferring the structure of directed acyclic graphs (DAGs) from data is a central challenge in causal discovery, particularly in modern high-dimensional settings where large-scale i…
An Algebraic Exposition of the Theory of Dyadic Morality
This paper provides an algebraic exposition of the theory of dyadic morality (TDM), a psychological model of moral judgment grounded in a simple two-node template: an intentional a…
Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
Instruction-tuned language models exhibit behavioural fairness in high-stakes decisions while retaining biased associations in their internal representations. However, whether thes…