Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On generalisability of segment anything model for nuclear instance segmentation in histology images
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.14248.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:14:08.057670Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:36:41.264350Z
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 d8ac8231-3bb9-430d-8e45-616a6ac8cfad · inbound
Segment Anything for Histopathology cites this paper.
Segment Anything for Histopathology On generalisability of segment anything model for nuclear instance segmentation in histology images
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:14:08.057670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4de19a0f-c821-446a-af96-a5c2b7f669ab · inbound
Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets cites this paper.
Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets On generalisability of segment anything model for nuclear instance segmentation in histology images
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:36:41.267534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.