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Paper Citation Record · LEDGER

Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1801.08058.

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

pith.paper-citation-record.v1
1801.08058 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:55:30.878948Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:55:31.095533Z

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 725c459b-3a91-4d1d-92c7-401c999c8aba · inbound

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data cites this paper.

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:55:31.102311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T13:55:30.878948Z digest=sha256:3b82ff9927b3ecac010b9b11ff9b558abaa0cee1e1c5be1ae435e17d5c01634f

Observation e1975160-594f-4e43-84a4-53cf360e70de · inbound

Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study cites this paper.

Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T01:52:56.309590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:52:56.309590Z digest=sha256:89791d9b87bd24efc910262368ca34e7259bb1c5e13191c6c66a2986b3289279