Paper Citation Record · LEDGER

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.00314.

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

pith.paper-citation-record.v1
2405.00314 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:11:43.154654Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:59:22.023639Z

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 017932c3-7c3c-4430-9cbc-47f846336143 · inbound

Qua$^2$SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models cites this paper.

Qua$^2$SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T12:08:56.962362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e1dde2a-3045-4aae-b96e-f58e1b60782c · inbound

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods cites this paper.

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:14:46.355327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a646ab-cabe-49c6-bfa5-fac000e01ef2 · inbound

DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs cites this paper.

DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:59:22.117502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1030a7ca-ca23-4f20-a252-2b92cc6cc9bd · inbound

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts cites this paper.

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Reference 268

Resolution: unresolved; no resolver link, observed 2026-08-01T16:42:34.341602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e13c09-608f-46bc-89d1-16d4f863afec · inbound

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers cites this paper.

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T02:57:27.248209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a9d4289-ca94-4e0d-80a7-287db6cf1198 · inbound

UniDFKD: A Unified Semantic Prior Framework for Architecture-Agnostic Data-Free Knowledge Distillation cites this paper.

UniDFKD: A Unified Semantic Prior Framework for Architecture-Agnostic Data-Free Knowledge Distillation Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T20:11:43.154654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.