the CMS Experiment
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Archi: Agentic Operations at the CMS Experiment
arXiv:2606.04755v1 Announce Type: cross Abstract: We present Archi, an open-source, end-to-end framework for scientific collaborations that combines the systematic ingestion and organization of heterogeneous data sources with the deployment of configurable, private, and extensible agents that retrieve and reason over them. An instance of Archi has been deployed for the Computing Operations team of the CMS experiment at CERN's LHC since February 2026 as a support agent for technical...
Searching for Anomalies with Foundation Models
Announce Type: replace-cross Abstract: Foundation models have the potential to extend the discovery reach for anomaly detection searches. When studying the large OmniLearned foundation model on data from the CMS experiment, unexpected behavior was observed in a mass sideband. The purpose of this paper is to perform a full analysis, including a complete background estimate, on the phase space picked out by the large model.
Wasserstein normalized autoencoder for anomaly detection
Announce Type: replace-cross Abstract: A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between the learned probability distribution--a Boltzmann distribution where the energy is the reconstruction error of the autoencoder--and the distribution of the training data. This algorithm has been developed and applied to the identification of semivisible jets--conical sprays of...
I'm building a parallel internet, and it's called The Thinnernet
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Counterfactual Evaluation Reveals Hidden Capability Profiles in Clinical LLMs and Agents
Announce Type: new Abstract: Two clinical AI systems can score nearly identically on coverage-based rubrics yet behave radically differently when their patient inputs change: one updates its recommendations to match the new clinical signal, while the other produces the same output regardless. We introduce the Causal Sensitivity Score (CSS), a pre-registered interventional metric that mutates oncology tumor-board cases along five clinically meaningful dimensions - biomarker flips,...
Contentful is a shot in the arm for Salesforce's 'headless' bet
Salesforce’s planned acquisition of Contentful should give its Headless 360 product – which CEO Marc Benioff gushed about during earnings last week – a much-needed shot in the arm, an analyst told The Register. Headless 360 takes the Salesforce logic and data layers and presents them inside other applications the user might be operating, such as WhatsApp, Slack, ChatGPT, or Claude. During the call last week, Benioff said it had seen rapid adoption, including a fivefold increase in usage...
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