Paper Citation Record · LEDGER

Scaling Law for Time Series Forecasting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.15124.

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

pith.paper-citation-record.v1
2405.15124 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:05:56.181289Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.387910Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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 9e3a1ace-9738-4259-a3bd-2584b66f4b24 · inbound

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models? cites this paper.

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models? Scaling Law for Time Series Forecasting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T17:09:19.988190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65734e3-4e80-4cf7-a32b-708e31bc4207 · inbound

Sundial: A Family of Highly Capable Time Series Foundation Models cites this paper.

Sundial: A Family of Highly Capable Time Series Foundation Models Scaling Law for Time Series Forecasting

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.846985Z

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.

Observation 7121251a-0aea-4b0c-a5a9-b18ef18204d8 · inbound

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering cites this paper.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Scaling Law for Time Series Forecasting

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:56.181289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14aa9d82-22ec-4ace-84fc-76a41bad5202 · inbound

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods cites this paper.

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods Scaling Law for Time Series Forecasting

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T19:00:22.169734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8017b6d5-4a23-4223-b765-7721fabc6598 · inbound

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting cites this paper.

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting Scaling Law for Time Series Forecasting

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:51:23.418882Z

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.

Observation 2a419e13-f64d-46a1-9278-d76f301f5bbe · inbound

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling cites this paper.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Scaling Law for Time Series Forecasting

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.891840Z

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.

Observation 977ee58b-7446-4aec-b365-6d24862e149a · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Scaling Law for Time Series Forecasting

Reference 172

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:38:43.389273Z

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.