Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). PyLightcurve-torch: a transit modeling package for deep learning applications in PyTorch. Retrieved May 24, 2026, from https://4ort.xyz/entity/pylightcurve-torch-a-transit-modeling-package-for-deep-learning-applications-in-pytorch
MLA“PyLightcurve-torch: a transit modeling package for deep learning applications in PyTorch.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pylightcurve-torch-a-transit-modeling-package-for-deep-learning-applications-in-pytorch.
BibTeX@misc{4ortxyz_pylightcurve-torch-a-transit-modeling-package-for-deep-learning-applications-in-pytorch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PyLightcurve-torch: a transit modeling package for deep learning applications in PyTorch}}, year = {2026}, url = {https://4ort.xyz/entity/pylightcurve-torch-a-transit-modeling-package-for-deep-learning-applications-in-pytorch}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PyLightcurve-torch: a transit modeling package for deep learning applications in PyTorch — https://4ort.xyz/entity/pylightcurve-torch-a-transit-modeling-package-for-deep-learning-applications-in-pytorch (retrieved 2026-05-24)
