Paper Citation Record · LEDGER

GAQAT: gradient-adaptive quantization-aware training for domain generalization

As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2412.05551.

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

pith.paper-citation-record.v1
2412.05551 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:41:14.637573Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:30:39.132936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:41.743067Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e452780-8a61-4d82-a633-3dabbe2435c2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

GAQAT: gradient-adaptive quantization-aware training for domain generalization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.589721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb1a176-62f0-4906-bb37-fe0467294a00 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.601305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665cc8ae-9f1a-4eb1-8fe1-7de644ff3e09 · outbound

This paper cites In Search of Lost Domain Generalization.

GAQAT: gradient-adaptive quantization-aware training for domain generalization In Search of Lost Domain Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.605852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd81bde-5c93-41fd-b6a6-4842eaca4d43 · outbound

This paper cites A White Paper on Neural Network Quantization.

GAQAT: gradient-adaptive quantization-aware training for domain generalization A White Paper on Neural Network Quantization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.622426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 802b47bc-309f-4373-b7b0-fcdbf511c5b0 · outbound

This paper cites Domain Generalization with MixStyle.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Domain Generalization with MixStyle

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.630679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ac360c-198b-4ca7-894a-5ac8cf7a5d45 · outbound

This paper cites DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

GAQAT: gradient-adaptive quantization-aware training for domain generalization DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.634235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f993c6aa-e255-4d6b-8ca2-b3f422c1bf34 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.637573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171d9d89-2776-4b57-b55a-09a8d1bc4eea · outbound

This paper cites Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.610292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c150257c-f2cc-4b79-a7cc-d1a95e2d631d · outbound

This paper cites Towards Out-Of-Distribution Generalization: A Survey.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Towards Out-Of-Distribution Generalization: A Survey

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.618576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87dc291b-ec32-449e-841c-db68acb80f0f · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.580677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92400972-e2aa-432c-b237-996911293793 · outbound

This paper cites Learned Step Size Quantization.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Learned Step Size Quantization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.596914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228928fa-e095-488e-bddd-145d42f6b41e · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Improved Baselines with Momentum Contrastive Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.585107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232353da-0cee-4582-82b3-5212ceed1cbd · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Averaging Weights Leads to Wider Optima and Better Generalization

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.614164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74fba0d1-2c4a-4f16-95b6-33ec0623f399 · outbound

This paper cites A Survey on Evaluation of Out-of-Distribution Generalization.

GAQAT: gradient-adaptive quantization-aware training for domain generalization A Survey on Evaluation of Out-of-Distribution Generalization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.626399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 43a4ba76-ff30-45e2-8dbc-606d12d3a2ee · inbound

Toward Multi-Domain and Long-Tailed Quantization via Feature Alignment and Scaling cites this paper.

Toward Multi-Domain and Long-Tailed Quantization via Feature Alignment and Scaling GAQAT: gradient-adaptive quantization-aware training for domain generalization

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.744636Z

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.