Paper Citation Record · LEDGER

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2012.00168.

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

pith.paper-citation-record.v1
2012.00168 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:55.176025Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 22b9ff76-ed31-4d93-abf4-d9ae90d47061 · inbound

Universal Time-Series Representation Learning: A Survey cites this paper.

Universal Time-Series Representation Learning: A Survey A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 179

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:28:53.288163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 80985cdb-30cd-4c2a-9e5a-8aede0e67b60 · inbound

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting cites this paper.

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:55.176025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c92ec08d-0765-416c-92a8-a74265572aad · inbound

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data cites this paper.

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:09.032767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b641f9c-f689-4a96-bfc5-50f269275c07 · inbound

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification cites this paper.

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:54.382079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134e0bfd-a88d-4227-8fd3-209ad105ae1c · inbound

Flexible Gravitational-Wave Parameter Estimation with Transformers cites this paper.

Flexible Gravitational-Wave Parameter Estimation with Transformers A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T18:59:12.102269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2933c44-329e-4034-a424-e9f33d4a493e · inbound

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios cites this paper.

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:18.272140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12bcdec4-884a-41c6-9386-71e97ffcbe50 · inbound

The hidden risks of temporal resampling in clinical reinforcement learning cites this paper.

The hidden risks of temporal resampling in clinical reinforcement learning A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:07:29.392868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44e0327e-2123-416b-8c61-6dc4fedbe85d · inbound

MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling cites this paper.

MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:19:27.736882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d28e7c7-1be7-417c-9c98-73baccdc4eeb · inbound

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration cites this paper.

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:33:30.779285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a8ca774-1dc3-413b-b405-c3b670700dd5 · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 223

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T00:28:42.925785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 136e977a-50d8-46c0-ab37-6a342344c13c · inbound

Causal Discovery on Irregular Time Series cites this paper.

Causal Discovery on Irregular Time Series A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:41:15.443873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7df651-a9bd-4d5d-b9a6-1b832a5c45ad · inbound

Microlensing Detection and Inference via Learned Bayes Factors cites this paper.

Microlensing Detection and Inference via Learned Bayes Factors A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T10:23:26.376931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.