Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.12493.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:51:03.235846Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T04:28:53.296806Z
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 ad0408f7-7bf1-480c-a865-bb90cef571f0 · inbound
Universal Time-Series Representation Learning: A Survey cites this paper.
Universal Time-Series Representation Learning: A Survey A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Reference 187
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:28:53.300348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d0b8608f-bf92-4ab4-8ae0-29a633dc2a58 · inbound
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis cites this paper.
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:51:03.235846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2aea54e-6650-4e60-87f2-08179c7ad566 · 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 Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Reference 182
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:26:54.393479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dbdc11a-37cd-4bdf-9398-bde38d2c1a0d · inbound
DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification cites this paper.
DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.727339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.