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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 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.

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T16:08:44.325842Z digest=sha256:66138746a6776b89af013116345c194a956643b17d8640923045d5732fc5abae

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T16:08:44.582425Z digest=sha256:d817c222becfac16969d98e90847604e5ee59ff72022e99593884c97a6c1e8ac

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=sha256:08f76777c5455f0ed4d022260b2c3f0e3df7a68e0f037b8834d14f0aec007c32

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T16:08:44.882189Z digest=sha256:8117d9e472834eafc732d61351ff4f357b55737048093d8be573422c44a804b9

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=sha256:1d1d5485a46404cf666d69bd9185293bc98f9116feb35b65b11d504f674352f8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T16:08:45.191005Z digest=sha256:dc3f3c0a3da178c703dbe48cbef877da3625d2b2c936f8df73094a962b4644f0

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:d1dfd7737f1c232271270995e9f36510471f9eec52bee7fea4158aeeae74afe5

Pith citing papers

No inbound Pith citation observations are available.