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Paper Citation Record · LEDGER

Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.00331.

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

pith.paper-citation-record.v1
2307.00331 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:25.688306Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:56:07.928415Z

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 0c6ee4ad-a407-4225-812d-968fa8ab3ed3 · inbound

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers cites this paper.

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:25.688306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:25.688306Z digest=sha256:afbcbe916fd11759f357f8a9c969b4f2bb07661df276c4874cfb4e13240c398d

Observation b692f25a-44e4-477f-b103-40b072f9d4a8 · inbound

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay cites this paper.

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:56:07.930877Z

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.

source=pdf_text observed=2026-05-09T14:24:54.946996Z digest=sha256:c51b1de9e26e7d29939a42de78238ff5cdde9f19f0dd48f07a1de694cd5378dc