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Paper Citation Record · LEDGER

Precision Highway for Ultra Low-Precision Quantization

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1812.09818.

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

pith.paper-citation-record.v1
1812.09818 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:07:19.422543Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T14:07:19.453935Z

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 442bf252-e88f-4671-884a-d94fc091b194 · inbound

Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations cites this paper.

Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Precision Highway for Ultra Low-Precision Quantization

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:07:19.459821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:07:19.422543Z digest=sha256:bd427e9732dbbe1be1a3cde9ce9ed25f90fad89f410013f693c59c21360b7c46