Open Science Framework
PulseAugur coverage of Open Science Framework — every cluster mentioning Open Science Framework across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Study: Em-dash frequency in US congressional press releases rises with LLM adoption
A recent study analyzed over 146,000 U.S. congressional press releases from 2021 to 2025 to detect stylistic traces of large language model (LLM) usage. Researchers observed a significant increase in the frequency of un…
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New Database Simplifies Search for Aesthetics Research Datasets
Researchers have developed DODA, a new web application designed to streamline the search for image datasets relevant to aesthetics research. This tool addresses the challenge of fragmented dataset sharing across platfor…
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Unified Digital Organism OS Strategy Detailed Across Platforms
Primordial Calculus has detailed a "Digital Organism Operating System" and its associated "Substrate Strategy" across multiple platforms including Mastodon, X, Hugging Face, OSF, GitHub, and YouTube. This system is desc…
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New OSF foundation models advance sleep physiology research
Researchers have introduced OSF, a new family of foundation models for sleep physiology, designed to address the heterogeneity in polysomnography data. Through extensive pre-training on a large corpus of sleep recording…
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Study: Em-dash usage surged in scientific preprints post-LLM adoption
A recent study analyzed preprints from medRxiv and found a significant increase in the use of em-dashes following the widespread adoption of large language models (LLMs). The prevalence of em-dashes in discussion sectio…
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New method enhances Chinese legislative conflict classification
Researchers have developed TypedCSIP, a novel counterfactual pretraining method designed for Chinese legislative conflict classification. This method leverages expert-written revisions as counterfactual supervision to t…
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Study finds 3-9B LLMs fail verbal confidence tests, impacting uncertainty estimates
A new study examined the verbal confidence of seven instruction-tuned, open-weight large language models (LLMs) with 3-9 billion parameters. Researchers found that these models failed to meet minimal validity criteria f…