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Paper Citation Record · LEDGER

GWQ: Gradient-Aware Weight Quantization for Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.00850.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.00850 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:55:59.464282Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-06T00:55:59.464282Z digest=sha256:b5193929ea9eeec2d53805b11f2d93339fc53e9aff0c508714205f87f7dcf9bc

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T07:14:26.441339Z digest=sha256:59b602bcbe36dbf0c9359a716e701a54d91a64d31945f1a682d9108e1345c450