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Paper Citation Record · LEDGER

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.20021.

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

pith.paper-citation-record.v1
2407.20021 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:05:21.412324Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:18:20.320130Z

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 0450d9c8-728d-4a11-ad67-de83eec4f393 · inbound

Task-Specific Zero-shot Quantization-Aware Training for Object Detection cites this paper.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:05:21.412324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:05:21.412324Z digest=sha256:128a6a4cfde316b453a1c7a27905995fac0ee2f3992707a2b9d1b74e1a2bad68

Observation 6f09decc-4b35-4fad-8846-c63945c1606a · inbound

Enhancing Generalization in Data-free Quantization via Mixup-class Prompting cites this paper.

Enhancing Generalization in Data-free Quantization via Mixup-class Prompting MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:18:20.398235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:18:17.139061Z digest=sha256:ad6899117c054f406c057576242e003a422f867b7b9ebd72aed78a0b7cf25312