Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Clinical Intervention Prediction and Understanding using Deep Networks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1705.08498.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:12.599586Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T18:55:59.321038Z
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 9aafc6ad-51b8-454b-979a-ab179aed44a9 · inbound
On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models cites this paper.
On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models Clinical Intervention Prediction and Understanding using Deep Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:12.599586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f34ff1c-88eb-47ce-b158-83d763ecf63f · inbound
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring cites this paper.
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring Clinical Intervention Prediction and Understanding using Deep Networks
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T04:11:30.702205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 175f7501-1fd1-4e3c-b829-65bed4f08579 · inbound
OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.
OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Clinical Intervention Prediction and Understanding using Deep Networks
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:26:27.405813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ec93c2b5-9ca8-4a09-b2d5-701b83859fc6 · inbound
OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.
OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Clinical Intervention Prediction and Understanding using Deep Networks
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:08:02.008112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 313c2eaf-2f38-4762-a718-1870acde958b · inbound
Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data cites this paper.
Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data Clinical Intervention Prediction and Understanding using Deep Networks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:56:28.477043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aecbea0a-8d47-422b-bbc0-f32ecfec2194 · inbound
Global Explanations for Multivariate Time Series Forecasting Models via $K$-Order Markov Approximations cites this paper.
Global Explanations for Multivariate Time Series Forecasting Models via $K$-Order Markov Approximations Clinical Intervention Prediction and Understanding using Deep Networks
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T18:55:59.322271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.