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Paper Citation Record · LEDGER

Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.03120.

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

pith.paper-citation-record.v1
1807.03120 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:21.222913Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:40:56.481238Z

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 c1be818a-0c76-4053-a87c-7e3be6bcda79 · inbound

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images cites this paper.

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:40:56.485616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T13:40:54.701373Z digest=sha256:76d66653a6c1dc744f6587bb6acb89c750af764ffededeb55edb90dff5a7ec55

Observation 99bd4152-e2ea-4112-92ab-b386ce55fe93 · inbound

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm cites this paper.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:21.222913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:41:21.222913Z digest=sha256:ceb1470b80cbfedf4b1061e6370cff1132d0449d37e90dad2b3812ac3f85f8eb