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Paper Citation Record · LEDGER

MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.14895.

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

pith.paper-citation-record.v1
2401.14895 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:28:02.218818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T01:40:52.159968Z

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 05ceff5d-ef32-4b7f-935c-2917afd5d745 · inbound

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization cites this paper.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T11:08:55.314827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:08:55.314827Z digest=sha256:7252c52d8590286726ef7175a776657340a8e02110371db8982488c4204b6e08

Observation 32fe6162-da8d-4c1e-a482-bdf072027a91 · inbound

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model cites this paper.

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T23:28:02.218818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:28:02.218818Z digest=sha256:cdbf8fa2c886d25ad7672afd07946299d859591b792b4ea6ceba0fdf8159610e

Observation 2d36d21a-6870-48c5-b69b-ee2d160d8286 · inbound

Amortized-Precision Quantization for Early-Exit Vision Transformers cites this paper.

Amortized-Precision Quantization for Early-Exit Vision Transformers MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:40:52.162039Z

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.

source=pdf_text observed=2026-05-11T01:36:33.718361Z digest=sha256:b9706948383f05a40fefb57643c6bfe2b9c72d0e0c02a79445eb0fff09083e24