Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GWQ: Gradient-Aware Weight Quantization for Large Language Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.00850.
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 2026-08-16T12:19:34.739270Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:06:43.763753Z
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 3fa3e356-99ce-415a-8007-401f5d9371a3 · inbound
EventVAD: Training-Free Event-Aware Video Anomaly Detection cites this paper.
EventVAD: Training-Free Event-Aware Video Anomaly Detection GWQ: Gradient-Aware Weight Quantization for Large Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:19:34.739270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de037b06-7c81-4104-a749-c4d4a09b3045 · inbound
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation cites this paper.
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation GWQ: Gradient-Aware Weight Quantization for Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:55:59.464282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a34dc5f-68d6-4a5a-8f49-9a46532e2832 · inbound
STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models cites this paper.
STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models GWQ: Gradient-Aware Weight Quantization for Large Language Models
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:06:43.765191Z
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.