Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HAWQV3: Dyadic Neural Network Quantization
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.10680.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T03:51:32.809528Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
18
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6d0ccf86-6c71-4e7a-bab3-76ae62eb0def · inbound
A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models cites this paper.
A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models HAWQV3: Dyadic Neural Network Quantization
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T21:05:03.941820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b14eb775-d944-4a6f-a583-ac94e2a2e722 · inbound
SEADA: An efficient methodology for optimizing mixed-precision DNNs on multi-precision spatial architectures cites this paper.
SEADA: An efficient methodology for optimizing mixed-precision DNNs on multi-precision spatial architectures HAWQV3: Dyadic Neural Network Quantization
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T02:33:04.946757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b2781899-27b2-4cec-afcf-e27313f28ef5 · inbound
MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models cites this paper.
MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models HAWQV3: Dyadic Neural Network Quantization
Reference 150
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:51:32.809528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.