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Paper Citation Record · LEDGER

Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1603.00275.

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

pith.paper-citation-record.v1
1603.00275 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:57:57.559749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T14:57:57.589184Z

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 cd81ecf8-2836-4d04-9be3-d25619dcd937 · inbound

AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks cites this paper.

AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:57:57.595147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:57:57.559749Z digest=sha256:07f41089a60af2f91af074e50f9b5d58a9fbf73c2df79265e746b8b22a518f1c