Paper Citation Record · LEDGER

EfQAT: An Efficient Framework for Quantization-Aware Training

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.11038.

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

pith.paper-citation-record.v1
2411.11038 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:02.930476Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ee2f8ee-5d9a-4f9b-81fb-163df8b26359 · inbound

Layer-wise Quantization for Quantized Optimistic Dual Averaging cites this paper.

Layer-wise Quantization for Quantized Optimistic Dual Averaging EfQAT: An Efficient Framework for Quantization-Aware Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:02.930476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfcd2b72-9b58-4ea1-9a4e-41cfe20b3d14 · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents EfQAT: An Efficient Framework for Quantization-Aware Training

Reference 144

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:23.454385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae5ccbc-9109-4986-aa43-7734560a851a · inbound

The Thermodynamic Costs of Simple Linear Regression cites this paper.

The Thermodynamic Costs of Simple Linear Regression EfQAT: An Efficient Framework for Quantization-Aware Training

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:03:23.187625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a4753d7-4c9b-4158-9627-0f7706d06ee5 · inbound

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training cites this paper.

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training EfQAT: An Efficient Framework for Quantization-Aware Training

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:42:36.040255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.