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Paper Citation Record · LEDGER

MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.13462.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2107.13462 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:23.460008Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:36:32.906509Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7e863d43-8f9a-44c9-a72a-33560e5b289b · inbound

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models cites this paper.

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:23.460008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:23.460008Z digest=sha256:eb04d37b5afe5d5a5216b18de779a05810955f0b5567b9ccaf6c9499236d87f3

Observation 60688cf2-0d3f-4806-995c-6d298ada6b5b · inbound

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting cites this paper.

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:23:44.296961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:23:44.296961Z digest=sha256:7b116e6af949332f8a7115193827037f4c36062189d2fd7f072aa671bd29f8a0

Observation 24eca7c2-dd7c-4cf0-98f6-0357af83dd57 · inbound

A Stability-Driven Framework for Long-Term Hourly Electricity Demand Forecasting cites this paper.

A Stability-Driven Framework for Long-Term Hourly Electricity Demand Forecasting MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:48:46.708725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:48:46.708725Z digest=sha256:080f487dec85d914a9116836bbebb272247122d237909576cb70fe8ea205f7fa

Observation 3b050deb-4de4-43df-944b-376082fe6615 · inbound

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting cites this paper.

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T04:36:32.909839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T04:36:29.020341Z digest=sha256:f53153efa78be185f8c3ad284cd76b2939c5f4b8dc9956362396a1561e3e2a7d

Observation ada6374d-a834-41c8-8788-e31fe1c4c10a · inbound

LGTD: Local-Global Trend Decomposition for Season-Length-Free Time Series Analysis cites this paper.

LGTD: Local-Global Trend Decomposition for Season-Length-Free Time Series Analysis MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T11:59:35.937895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:59:35.937895Z digest=sha256:818236166c0b6e2718d4bc23c3e2da10b63f4cf2b16e4490f4bc99c818d2d161