Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1809.04191.
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 2026-08-02T18:35:53.045463Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-19T17:52:42.890729Z
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 ea491315-d5a9-4b25-aae8-ef65d58cfef0 · inbound
Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models cites this paper.
Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:35:53.045463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fab39080-f8f2-4644-9258-917e7ba6d220 · inbound
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks cites this paper.
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
Reference 97
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T06:37:26.663357Z
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 80ae73f4-6bba-45df-89a1-eead61359912 · inbound
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks cites this paper.
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
Reference 97
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T17:52:42.893256Z
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.