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Paper Citation Record · LEDGER

A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1905.08369.

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

pith.paper-citation-record.v1
1905.08369 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 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T17:09:29.477628Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T17:11:04.277763Z

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 1b53f1c9-53e5-4139-9aaa-2b29a38cdc47 · inbound

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection cites this paper.

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:11:04.281485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-25T17:09:29.477628Z digest=sha256:9af36112ae313666bd8f1f6baf2c7c91d16d3474960571cf095fd34a6896276d