Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EasyQuant: Post-training Quantization via Scale Optimization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.16669.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:08.819329Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T06:56:44.618322Z
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 98666497-e498-47f2-8594-7bfb1d3340e5 · inbound
EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices cites this paper.
EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices EasyQuant: Post-training Quantization via Scale Optimization
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:08.819329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffbc0c1f-b9bb-4dc0-9dbd-5fe45b2bd840 · inbound
QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception cites this paper.
QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception EasyQuant: Post-training Quantization via Scale Optimization
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:50:16.988230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b44c412a-efe1-420e-b0c9-3b98c3f2a0d5 · inbound
MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models cites this paper.
MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models EasyQuant: Post-training Quantization via Scale Optimization
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T06:56:44.619872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.