Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.07114.
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 2026-08-10T22:48:42.106137Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:54.729946Z
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 f1971fc3-eca1-49ac-8d94-be3f223dbdf4 · inbound
How Breakable Is Privacy: Probing and Resisting Model Inversion Attacks in Collaborative Inference cites this paper.
How Breakable Is Privacy: Probing and Resisting Model Inversion Attacks in Collaborative Inference TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:48:42.106137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63a579eb-60cb-4808-82e9-9a55e9104418 · inbound
Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms cites this paper.
Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:13:30.605088Z
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 68b473df-f4e2-471b-af51-24378e1c4e92 · inbound
SoK: Attack and Defense Landscape of Mobile On-device AI Systems cites this paper.
SoK: Attack and Defense Landscape of Mobile On-device AI Systems TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:54.731712Z
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.