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Paper Citation Record · LEDGER

VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.04503.

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

pith.paper-citation-record.v1
2102.04503 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:46.101980Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

13
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 978acedf-b124-4ddd-9747-37dc484cf5b0 · inbound

Recipes for Pre-training LLMs with MXFP8 cites this paper.

Recipes for Pre-training LLMs with MXFP8 VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:46.101980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:46.101980Z digest=sha256:7bd8527a63cd0a562fd039e0b9fd1c63d0a8cafda5e491c114c71e1e507ee224

Observation 9070134e-968b-420d-bbc5-abd5d593e915 · inbound

SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision cites this paper.

SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-03T16:38:31.275183Z

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=2026-08-03T16:35:52.908396Z digest=sha256:f8df25e66c61391836c10b537b921abfe8c40aacee56b4dca79f4457fb1cde92