{"paper":{"title":"kindling: A Higher-Level torch Interface for Generating, Training, and Tuning Neural Networks in R","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"(2) Independent Researcher), 4000 Li\\`ege, Antoine Soetewey (1), Belgium, Joshua Marie (2) ((1) HEC Li\\`ege, Rue Louvrex 14, Universit\\'e de Li\\`ege","submitted_at":"2026-07-04T11:39:38Z","abstract_excerpt":"{kindling} is an R package that provides a higher-level interface to {torch}, R's native implementation of PyTorch, for defining, training, and tuning neural networks. It supports multilayer perceptrons and recurrent architectures (RNN, LSTM, GRU) while reducing the boilerplate typically required to write {torch} model definitions and training loops by hand. The package is organized around three levels of abstraction: code-generation functions that return inspectable, unevaluated {torch::nn\\_module()} expressions; direct-training functions that fit a model from a formula and data frame; and {t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03832","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.03832/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}