Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.10573.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:46.323692Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T04:59:49.928990Z
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 c8b8afe1-de4f-4da5-b9b2-a0668fec5936 · inbound
CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns cites this paper.
CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:34:46.323692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67fea8f2-85e2-4771-a4d0-58860c415410 · inbound
Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss cites this paper.
Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:29:01.375149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cf827b4-b325-471c-a86f-d7f8be6a6905 · inbound
Identifying actionable driver mutations in lung cancer using an efficient Asymmetric Transformer Decoder cites this paper.
Identifying actionable driver mutations in lung cancer using an efficient Asymmetric Transformer Decoder H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T04:59:49.973934Z
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.