Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2008.05000.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:25:18.485161Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T23:15:25.078519Z
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 7945c91e-e94d-4453-8a1f-45bedaf84fcf · inbound
FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs cites this paper.
FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T23:15:25.085369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 97818df8-e785-4e30-bba7-3bd2d20cf0a5 · inbound
Inference-friendly Graph Compression for Graph Neural Networks cites this paper.
Inference-friendly Graph Compression for Graph Neural Networks Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:25:18.485161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f7f5576-f1fe-46f1-9b16-6f370c2c754c · inbound
Diffusion Model Quantization: A Review cites this paper.
Diffusion Model Quantization: A Review Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:13:35.588041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.