Paper Citation Record · LEDGER

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.09130.

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

pith.paper-citation-record.v1
2406.09130 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:37:51.634105Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.590498Z

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 7174e7b7-cc39-401e-bbf5-cd2f658b4db5 · inbound

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting cites this paper.

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:37:51.634105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d919d8d-e1c0-43eb-8ef9-340295e1933f · inbound

Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model cites this paper.

Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:20:48.274213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22009540-01fc-419a-bb87-466c3c4810b6 · inbound

STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting cites this paper.

STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:54.572712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b9ac729-4b48-4a29-8a44-85cd33daf3f0 · inbound

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting cites this paper.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.591958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.