Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:08:45.311471Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2508.18891.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:08:45.311471Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
7 of 7 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f66d20b9-ce0c-488e-bb6d-bb684a8feaf0 · outbound
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data Tensorflow: learning functions at scale
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9815c9a0-48bd-4f8c-a3bb-07243259ba71 · outbound
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data Olivares
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 86d9fc27-fd5a-4aed-8f05-2991712844a7 · outbound
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data sktime: A Unified Interface for Machine Learning with Time Series
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6944092-2632-439f-aa26-e6096ddb26b0 · outbound
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data Olivares, Cristian Challú, Azul Garza, Max Mergenthaler Canseco, and Artur Dubrawski
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 005f57f8-6de3-4ffc-8fe5-8a1c1a554867 · outbound
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data GluonTS: Probabilistic Time Series Models in Python
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e068e1b-98ae-469f-bf63-86d78b4e91f3 · outbound
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data Tslearn, a machine learning toolkit for time series data
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a22e7865-d91e-4f71-862b-3e5755c0a8fb · outbound
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.