Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.06027.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:55.397979Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:37:27.590056Z
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 28e79faa-73c8-42cd-affd-6d898afd346d · inbound
AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification cites this paper.
AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:29:55.397979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fe00424-73bf-4960-ab51-dc25b36ac4ee · inbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines cites this paper.
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.591957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.