Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.08254.
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 2026-08-11T16:41:15.807388Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:34:37.847539Z
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 1eb7b798-ade8-4e09-8cb2-0441d9bd6a3b · inbound
TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation cites this paper.
TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:41:15.807388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71b60085-219c-4d93-a33e-0e80d256ca1d · inbound
UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model cites this paper.
UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:34:37.853467Z
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 bec1b3fd-72b0-460a-81dd-9a0531806c6c · inbound
I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation cites this paper.
I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:57:09.603301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.