Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.11883.
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 2026-08-05T05:59:51.024183Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T03:04:14.329904Z
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 f9dc21af-7fdf-41c9-92aa-bfaefbbce044 · inbound
Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations) cites this paper.
Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations) Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:59:51.024183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc33adbf-92c3-4943-9203-442fb104fafa · inbound
Harvesting AI Computation at the Edge via Generic Approximation cites this paper.
Harvesting AI Computation at the Edge via Generic Approximation Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T03:04:14.332330Z
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.