Preprint Watch

Automated modeling of geographical accessibility using the AccessMod framework

Leave a Comment / Normal Science, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7820101/v1/0ee422b2-46ea-402a-a33f-52d9c4ac480e.pdf Stage Normal Science Paradigm framing The paper operates within the established paradigm of geographic information science (GIS) for modeling spatial accessibility. This paradigm relies on cost-distance analysis, which uses geospatial data like land cover, elevation, and transport networks to calculate travel time to services. The AccessMod tool itself is a key instrument within […]

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Comparison of Full-Thickness Bladder Tissue Effects in Onlay versus Tubular Ureteral Reconstruction: A Study in a New Zealand Rabbit Model

Leave a Comment / Normal Science, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7700502/v1/1c2c1f3d-5ce6-4d13-ae61-af459d0ff005.pdf Stage Normal Science Paradigm framing The research is situated within the surgical urology paradigm for treating ureteral strictures. This paradigm accepts that anatomical defects like strictures can be repaired through reconstruction, often using autologous tissue grafts. The core scientific puzzles involve optimizing surgical techniques (e.g., Onlay vs. Tubularized reconstruction) and selecting the best

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Individualized Antisense Oligonucleotides for SCN2A Related Developmental Epileptic Encephalopathy

Leave a Comment / Normal Science, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7841195/v1/037745ac-e5aa-4a96-907f-95d1b958db4b.pdf Stage Normal Science Paradigm framing The research operates within the established paradigm of precision medicine, specifically using antisense oligonucleotide (ASO) technology to treat monogenic neurological disorders. It further relies on the paradigm of using whole-genome sequencing to identify patient-specific genetic variants that enable highly targeted therapeutic design. The study aims to solve the

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Less is More: Recursive Reasoning with Tiny Networks

Leave a Comment / arXiv, Model Revolution /

URL https://arxiv.org/pdf/2510.04871.pdf Stage Model Revolution Paradigm framing The paper operates within the field of AI reasoning models. It challenges the dominant paradigm of Large Language Models (LLMs), which leverage massive scale and data to solve problems. The paper identifies a crisis in this paradigm, noting LLMs' struggles with specific hard puzzle tasks. It proposes a

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Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2510.14709.pdf Stage Normal Science Paradigm framing The paper operates within the established paradigm of using computational analysis of very high-resolution (VHR) satellite imagery for marine mammal monitoring. This paradigm seeks to overcome the limitations of traditional, resource-intensive survey methods. The specific puzzle being addressed is the bottleneck created by the lack of large, annotated

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Semantic Source Code Segmentation using Small and Large Language Models

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2507.08992.pdf Stage Normal Science Paradigm framing The research is situated within the software engineering paradigm that treats source code as a sequence amenable to analysis by language models. Specifically, it works within the sub-paradigm of using transformer-based models (both small and large) for semantic code comprehension tasks. This paper extends this approach to the

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Indeterminism in Large Language Models: An Unintentional Step Toward Open-Ended Intelligenceu

Leave a Comment / Model Revolution /

URL https://philsci-archive.pitt.edu/26807/1/Indeterminism_in_Large_Language_Models__preprint.pdf Stage Model Revolution Paradigm framing The paper challenges the prevailing paradigm that views Large Language Models (LLMs) as deterministic computational systems where unpredictability is an error. It proposes a new paradigm, drawn from artificial life and enactive cognitive science, which reframes the intrinsic, emergent indeterminism in LLMs not as a flaw, but as

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Point pattern analysis on spatially aggregated data

Leave a Comment / Normal Science /

URL https://assets-eu.researchsquare.com/files/rs-7586973/v1_covered_6aafd13d-6e23-41c7-902a-fd4f0a7a84e2.pdf Stage Normal Science Paradigm framing The paper operates within the established paradigm of spatial statistics and point pattern analysis. This paradigm seeks to identify and quantify non-random spatial patterns (clustered, dispersed, or random) in geographic data. Its standard tools, such as Ripley's K-function and nearest-neighbor analysis, traditionally rely on precise locational data for

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On the Abundance Discrepancy Problem in H II Regions

Leave a Comment / Model Drift /

URL https://arxiv.org/pdf/0707.3518.pdf Stage Model Drift Paradigm framing The paper operates within the paradigm of determining chemical abundances in photoionized nebulae (H II regions). This field has long faced the "abundance discrepancy problem," an anomaly where abundances from recombination lines (ORLs) are higher than from collisionally excited lines (CELs). Two competing explanations exist: the "temperature fluctuations"

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Functional team selection as a framework for local adaptation in plants and their belowground microbiomes.

Leave a Comment / Model Revolution /

URL https://cesar-marin.com/wp-content/uploads/2024/04/2024apr.johnsonmarin_ecoevorxiv.pdf Stage Model Revolution Paradigm framing The paper operates within plant biology, ecology, and evolutionary biology. It challenges the traditional paradigm that views evolution and adaptation through the lens of an individual plant or a simple two-partner symbiosis. It proposes a new paradigm where the plant and its belowground microbiome are considered a single,

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