Paper Citation Record · LEDGER

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.10198.

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

pith.paper-citation-record.v1
2402.10198 v3

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:36.533616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:10:26.142047Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 e74554ff-4f15-41ae-a6b1-9cf0a25e84b8 · inbound

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions cites this paper.

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:36.533616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe21c72-a174-4f25-8d1e-e5b056f7377d · inbound

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting cites this paper.

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:59.363145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02746236-c543-4ef9-bd93-30fb2c1c0423 · inbound

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity cites this paper.

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:25.197051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a92fcc90-f442-47b7-b7a6-946143bdf5e2 · inbound

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services cites this paper.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:22.712207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8af075-82c3-47da-9cdf-3145e3b52d02 · inbound

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting cites this paper.

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:10:26.144182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.