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Paper Citation Record · LEDGER

Deep Learning with Low Precision by Half-wave Gaussian Quantization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1702.00953.

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

pith.paper-citation-record.v1
1702.00953 v1

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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:17:36.206951Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T00:55:09.498200Z

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 d92dc2cf-5d37-4d9d-9d9c-cd866141c4fa · inbound

A Targeted Acceleration and Compression Framework for Low bit Neural Networks cites this paper.

A Targeted Acceleration and Compression Framework for Low bit Neural Networks Deep Learning with Low Precision by Half-wave Gaussian Quantization

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-25T00:55:09.501584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T00:54:20.683446Z digest=sha256:5154a3c003f06d7ca0e587d4f9616bfb2c7d2e049495f913a57ee358b2556368

Observation 558ab44f-6102-471b-94ef-4df6831e4b00 · inbound

GDRQ: Group-based Distribution Reshaping for Quantization cites this paper.

GDRQ: Group-based Distribution Reshaping for Quantization Deep Learning with Low Precision by Half-wave Gaussian Quantization

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T15:17:36.206951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:17:36.206951Z digest=sha256:3ef48dfd2267ea814662b9a59e0baa91c0de9deb7a921b7b0f8436ea32cf8d51

Observation df511998-a0eb-4762-a2fd-cc7f756432e7 · inbound

Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation cites this paper.

Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Deep Learning with Low Precision by Half-wave Gaussian Quantization

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:32.481541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:32.481541Z digest=sha256:33ca2b7dfa7de5163e7079fe89dce867a99c627631e83401a38169df06e8bceb