Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.05357.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T00:15:08.492137Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:39:40.413816Z
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 5988fadd-cfb0-433d-971c-7fcff16e4aa7 · inbound
Arbitrary Data as Images: Fusion of Patient Data Across Modalities and Irregular Intervals with Vision Transformers cites this paper.
Arbitrary Data as Images: Fusion of Patient Data Across Modalities and Irregular Intervals with Vision Transformers Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:15:08.492137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 532a3cd6-57ad-4878-b4c6-146bcb824b4f · inbound
A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs cites this paper.
A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:30:52.129731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 60679c06-ddb0-41ff-8fd7-0c8b0cb64c22 · 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 Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.718414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d634649d-2429-4213-83fd-5cae036f22f1 · inbound
ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction cites this paper.
ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:13:47.076533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5ac3b91b-db58-4972-bc5b-2ea9c5447e91 · 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 Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:33:30.763617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1e1a3144-2815-44ff-94b2-530dd1b43d61 · inbound
ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction cites this paper.
ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:39:40.415916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.