Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SqueezeNext: Hardware-Aware Neural Network Design
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1803.10615.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:19:53.399145Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:19:44.239403Z
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 cadc9ca1-3c55-4ca5-bfd4-b215e182d21f · inbound
Efficient Deep Neural Networks cites this paper.
Efficient Deep Neural Networks SqueezeNext: Hardware-Aware Neural Network Design
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:19:53.399145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89dbf294-6ee7-4bbb-a2f8-140cb60f248c · inbound
Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey cites this paper.
Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey SqueezeNext: Hardware-Aware Neural Network Design
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:30:55.707984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3e204325-71e2-4c23-b4ad-8f4ce42b9563 · inbound
On the Expressive Power of Weight Quantization in Large Language Models cites this paper.
On the Expressive Power of Weight Quantization in Large Language Models SqueezeNext: Hardware-Aware Neural Network Design
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:19:44.240814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.