Paper Citation Record · LEDGER

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2202.01575.

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

pith.paper-citation-record.v1
2202.01575 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:23.513690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.318688Z

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 5b541a11-aaae-4602-9bb5-2fe23cca3b45 · inbound

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics cites this paper.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:00.727325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf20c798-5660-42f8-824b-005dbb806534 · inbound

Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue cites this paper.

Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:23.513690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e912d2b7-b28c-46fe-b7e2-888c696372b0 · inbound

eMargin: Revisiting Contrastive Learning with Margin-Based Separation cites this paper.

eMargin: Revisiting Contrastive Learning with Margin-Based Separation CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:50:51.751717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eed49f3-519a-4e5f-b7a8-c598574caa65 · inbound

Concurrence: A dependence criterion for time series, applied to biological data cites this paper.

Concurrence: A dependence criterion for time series, applied to biological data CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T21:08:32.592670Z

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.

Observation 78ab8b09-f037-4d2f-8d32-db066ab75c77 · inbound

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale cites this paper.

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:36:04.209732Z

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.

Observation fcf12439-6aa0-4a62-9e1c-3e9ff001e1c7 · inbound

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series cites this paper.

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:26:16.627441Z

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.

Observation 886fc81f-d826-4f04-a1a4-d35eda611a97 · inbound

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting cites this paper.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:07:37.207428Z

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.

Observation de04ffa3-167d-4712-8a61-fbbaf2380964 · inbound

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations cites this paper.

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:37:05.837829Z

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.

Observation 0f410e9e-2878-42ed-8f13-acead73e6e6c · inbound

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning cites this paper.

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:37:06.022060Z

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.

Observation 6a90987d-c4ef-4452-a18a-a615d1468d57 · inbound

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

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:43.321274Z

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.