Pith. sign in

Paper Citation Record · LEDGER

Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.13082.

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

pith.paper-citation-record.v1
1905.13082 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T03:22:55.438074Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:46.177495Z

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 a671128f-f26c-44a2-8b7a-8d9dad050662 · inbound

OpenGlass: Ultra-Low-Power On-Device AI Eyewear with Event-based Vision cites this paper.

OpenGlass: Ultra-Low-Power On-Device AI Eyewear with Event-based Vision Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-02T17:27:15.077516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T22:03:18.602151Z digest=sha256:b674983df60be4e9d2f799f766f519882122aa0109a12f8a58a1bb4c5a81b621

Observation dcab7a87-f9c6-4e6d-ae6b-d4eaf93e89e1 · inbound

MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices cites this paper.

MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:27:46.196203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-11T03:22:55.438074Z digest=sha256:fb3b121ad936f96def149e752676a7a0714e164e51abede9102aa9d58039820f