Model Drift

Preprints revealing inconsistencies, weak fits, or unexplained anomalies in dominant models—early signs of conceptual stress within the current framework.

Shared Imagination: LLMs Hallucinate Alike

URL https://arxiv.org/pdf/2407.16604.pdf Stage Model Drift Paradigm framing The preprint operates within the dominant paradigm of natural language processing, specifically focusing on large language models (LLMs). The core assumptions of this paradigm include the effectiveness of transformer-based architectures, the importance of large-scale pre-training data, and the viability of instruction tuning and alignment techniques. Highlights The preprint […]

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Exoplaneteers Keep Overestimating Sigma Significances

URL https://arxiv.org/pdf/2506.05392.pdf Stage Model Drift Paradigm framing Frequentist and Bayesian statistics in exoplanetary atmospheric studies. Highlights The preprint identifies a drift within the current paradigm of exoplanetary atmospheric characterization. Specifically, it addresses the misapplication of a statistical conversion (Sellke et al. 2001) by exoplaneteers. The authors argue that while the conversion itself is valid, its

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Ustekinumab for type 1 diabetes in adolescents: a multicenter, double-blind, randomized phase 2 trial

URL https://www.nature.com/articles/s41591-024-03115-2.pdf Stage Normal Science / Model Drift Paradigm framing The current paradigm encompasses autoimmune mechanisms in type 1 diabetes (T1D) and the potential for immunomodulatory therapies. Highlights This phase 2 trial investigates ustekinumab, an approved drug for other autoimmune conditions, as a treatment for T1D in adolescents. The study operates within the existing paradigm

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The Influenza-like Evolutionary Path of Respiratory RNA Viruses

URL https://www.researchsquare.com/article/rs-6707035/v1.pdf Stage Model Drift Paradigm framing The preprint operates predominantly within the established epidemiological paradigm of infectious disease modeling, exemplified by the SIR (Susceptible-Infected-Recovered) model. However, it introduces modifications that challenge certain assumptions of this paradigm, suggesting a state of Model Drift. Highlights This preprint introduces the SIRS-G model, an extension of the SIRS

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Current Therapeutic Strategies for Rasmussen Encephalitis: A Systematic Review of Functional Hemispherectomy and Immunotherapy in Pediatric Intractable Epilepsy

URL https://www.researchsquare.com/article/rs-6689486/v1.pdf Stage Normal Science / Model Drift Paradigm framing The dominant paradigm is the immunological understanding of Rasmussen Encephalitis (RE), encompassing the role of cytotoxic T-cells, inflammation, and the rationale for immunomodulatory therapies. The preprint also acknowledges the surgical paradigm, where hemispherectomy is the most effective intervention for seizure control. Highlights This systematic review

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Evolution of Wormholes under f(R, T) Theory, the Karmarkar Condition and the Casimir Energy

URL https://arxiv.org/pdf/2506.02074.pdf Stage Model Drift Paradigm framing The preprint operates within the established paradigm of Einstein's General Relativity, specifically focusing on the sub-paradigm of wormhole physics. It also engages with the extended paradigm of modified gravity, represented by f(R,T) theory. Highlights This preprint explores wormhole solutions within the f(R,T) gravity theory, a modification of Einstein's

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Behavioral plasticity and the valence of indirect interactions

URL https://www.biorxiv.org/content/10.1101/2024.08.15.608151v2.full.pdf Stage Model Drift Paradigm framing The preprint operates within the paradigm of predator-prey interactions and community ecology, specifically focusing on how individual behavior can influence population dynamics and species interactions. Highlights This preprint presents a model refinement of apparent competition by incorporating behavioral plasticity, specifically hiding behavior in prey species. The core paradigm

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Generative AI and Organizational Structure in the Knowledge Economy

URL https://arxiv.org/pdf/2506.00532.pdf Stage Model Drift Paradigm framing The preprint operates within the knowledge-based hierarchy paradigm of organizational structure, focusing on how expertise is distributed and utilized within firms. It examines the impact of a novel technology, Generative AI (GenAI), on this established paradigm. Highlights This preprint exhibits characteristics of both normal science and model drift.

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The QETRA Protocol: Pioneering Quantum Eavesdropping Detection with Classical SVM

URL https://assets-eu.researchsquare.com/files/rs-6786392/v1_covered_8851b04d-a5b5-4bfb-a3a9-b8900a9d2e18.pdf?c=1748865121.pdf Stage Normal Science / Model Drift Paradigm framing Quantum cryptography, specifically Quantum Key Distribution (QKD), currently operates under the paradigm of detecting eavesdropping through quantum bit error rate (QBER) analysis, as exemplified by the BB84 protocol. Highlights This preprint presents the QETRA protocol, which introduces a novel approach to eavesdropping detection within the

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Dust Budget Crisis in Little Red Dots

URL https://arxiv.org/pdf/2505.22600.pdf Stage Model Drift / Model Crisis Paradigm framing The preprint challenges the prevailing paradigm that Little Red Dots (LRDs) are heavily dust-reddened Active Galactic Nuclei (AGNs). The current paradigm, based on their red spectra, suggests high extinction levels (Av ~ 3). Highlights The authors present evidence suggesting a “dust budget crisis,” where the

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