Paper Citation Record · LEDGER

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.00045.

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

pith.paper-citation-record.v1
2409.00045 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:00.786114Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:00:13.091690Z

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 7828251b-a137-47c7-a9cf-35608c50998f · inbound

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention cites this paper.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.786114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4b271b-5b8d-4d29-8087-c88e0e127456 · inbound

Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture cites this paper.

Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:00:13.093399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58384923-9f4f-47e9-9e73-5f5923f41df4 · inbound

SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis cites this paper.

SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T04:40:38.346405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 980377f7-f99d-4f30-852d-299856ed4ce4 · inbound

endoExplain: A reproducible protocol for auditing score-localisation discordance in colonoscopy image classifiers cites this paper.

endoExplain: A reproducible protocol for auditing score-localisation discordance in colonoscopy image classifiers PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.419339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.