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Paper Citation Record · LEDGER

Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1701.08978.

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

pith.paper-citation-record.v1
1701.08978 v2

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:14:04.103753Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:22:19.014448Z

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 78d9f7a2-0b58-4158-b858-c3a9ed857d53 · inbound

tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI cites this paper.

tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:14:04.103753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:14:04.103753Z digest=sha256:97f90ae514c9951f878a9581432afb769b34c5d725aa3352163ba73245bab18b

Observation b06b7ef7-817a-4636-919d-b60f3310c96b · inbound

Pushing the Limits of BFP on Narrow Precision LLM Inference cites this paper.

Pushing the Limits of BFP on Narrow Precision LLM Inference Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:22:19.020609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T17:22:18.829962Z digest=sha256:6bbd125727bb65aa6b6467085ccc163a01aea2abebeba54d4d5cc1263071552d