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Paper Citation Record · LEDGER

PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2111.12293.

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

pith.paper-citation-record.v1
2111.12293 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:09:11.322701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:28:02.208631Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 dc604a1f-4422-49c6-84d2-8b4a01152456 · inbound

DFQ-ViT: Data-Free Quantization for Vision Transformers without Fine-tuning cites this paper.

DFQ-ViT: Data-Free Quantization for Vision Transformers without Fine-tuning PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T16:09:11.322701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:11.322701Z digest=sha256:96516f303b1288cfd87b80cc101a8dd9fe501097a50c477be05f1eb9e37679aa

Observation 9ca40d83-85b6-4c7f-b821-ccae66df5f3c · inbound

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception cites this paper.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T10:50:17.019684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:50:17.019684Z digest=sha256:5e36cd586a0dbd0433b08f6ca7de315962243e0937a0e5e49864a7e7ddc46a48

Observation 74fc0b49-8b28-47aa-a47e-c51cc212a414 · inbound

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation cites this paper.

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:09.500607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:09.500607Z digest=sha256:06e69e6c2207dc77df890385721f27eb5b103387c14e8fe3acc0fdc48d0dc552

Observation 3d86a0ae-4975-429a-8a59-529b3b26182e · inbound

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design cites this paper.

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:28:02.210276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T17:26:54.609595Z digest=sha256:6e60b5932caf1deaa686b5c01b932cce9d02d9e20d977cc57d4bc63a8f3d0d9a

Observation daf0055f-8001-4b8d-b2c5-61c21c2a26a2 · inbound

Joint Architecture-Token-Bitwidth Multi-Axis Optimization of Vision Transformers for Semiconductor IC Packaging cites this paper.

Joint Architecture-Token-Bitwidth Multi-Axis Optimization of Vision Transformers for Semiconductor IC Packaging PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:45:21.015162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T19:37:07.672702Z digest=sha256:c7b02df503bd63038da7a83476826fa4a0056287d85d52eadbd794636b050112