Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.07877.
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 2026-08-15T20:26:47.120355Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T20:26:47.189025Z
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 79898396-d056-40bc-be92-2f22609b7df5 · inbound
Automatic mixed precision for optimizing gained time with constrained loss mean-squared-error based on model partition to sequential sub-graphs cites this paper.
Automatic mixed precision for optimizing gained time with constrained loss mean-squared-error based on model partition to sequential sub-graphs A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:26:47.193639Z
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.
Observation 20570c8b-b71e-47c2-a31f-c93fd3bdf5e6 · inbound
Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic cites this paper.
Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T17:52:29.131365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.