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Paper Citation Record · LEDGER

pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data

As of 20 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.

pith.paper-citation-record.v1
2508.18891 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:08:45.311471Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f66d20b9-ce0c-488e-bb6d-bb684a8feaf0 · outbound

This paper cites Tensorflow: learning functions at scale.

pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data Tensorflow: learning functions at scale

Reference 1

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T16:08:46.085403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T16:08:44.325842Z digest=sha256:ebc07e3b4f4f6a445af6fa17fc924ae265febd62dcf516e7ddbe8e7754dbf126

Observation 9815c9a0-48bd-4f8c-a3bb-07243259ba71 · outbound

This paper cites Olivares.

pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data Olivares

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:08:46.665163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T16:08:44.582425Z digest=sha256:564033e2be1fa25b350b64b3ba26a7f2a5142191ac80b0f341ea22e2319df3a0

Observation 86d9fc27-fd5a-4aed-8f05-2991712844a7 · outbound

This paper cites sktime: A Unified Interface for Machine Learning with Time Series.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T16:08:44.749563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:08:44.749563Z digest=sha256:0450ce960765a641cf1780cf595fa2f7dfc4afd1dd88d44b1c529c07e0ff19e6

Observation b6944092-2632-439f-aa26-e6096ddb26b0 · outbound

This paper cites Olivares, Cristian Challú, Azul Garza, Max Mergenthaler Canseco, and Artur Dubrawski.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:08:46.383605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T16:08:44.882189Z digest=sha256:f3d5f1dece0cad75bc56d6795fe4e573fd74edf08fcf3532b26a492e9ba80def

Observation 005f57f8-6de3-4ffc-8fe5-8a1c1a554867 · outbound

This paper cites GluonTS: Probabilistic Time Series Models in Python.

pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data GluonTS: Probabilistic Time Series Models in Python

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T16:08:45.054286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:08:45.054286Z digest=sha256:b97ef32a87373f36d2b28a175fd71397ea63a6cc005f4924367b85909e1c1665

Observation 2e068e1b-98ae-469f-bf63-86d78b4e91f3 · outbound

This paper cites Tslearn, a machine learning toolkit for time series data.

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T16:08:45.720494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T16:08:45.191005Z digest=sha256:7ac5454060aa06ae3f2dc6cf7d7ed77d4006b4f81d440954be85c78206c0a9e1

Observation a22e7865-d91e-4f71-862b-3e5755c0a8fb · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T16:08:45.311471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:08:45.311471Z digest=sha256:54b27ce537199346cf73b3b529c72c7bd38324ee5af6852ba6f1bc4c552a709b

Pith citing papers

No inbound Pith citation observations are available.