Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.07925.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:34.196559Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T23:28:17.132439Z
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 7e49f74c-f71d-4677-af6b-539d2aada85c · inbound
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs cites this paper.
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:45:34.196559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae20ae7e-437b-4851-98ff-9e0cb437e170 · inbound
ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks cites this paper.
ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T23:28:17.135737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.