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Paper Citation Record · LEDGER

FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.04570.

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

pith.paper-citation-record.v1
1809.04570 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:19:53.206295Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:34:56.381942Z

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 6112699b-341a-4a69-a3fe-4a2c344b5141 · inbound

Efficient Deep Neural Networks cites this paper.

Efficient Deep Neural Networks FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T12:19:53.206295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:19:53.206295Z digest=sha256:c5625b97eef32a3fdbbaf511c3b51649dbc121a5ef035847448add3f538e9f3e

Observation 2e5691dd-5564-4b20-965c-3c920ebc37fd · inbound

Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms cites this paper.

Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:34:56.391342Z

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=2026-08-06T18:34:56.271297Z digest=sha256:0ae50451a6615bd2dee13ca099f47b3839b702456f1c8189f11d1565e32e79ca