Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:15:11.338949Z
Paper Citation Record · LEDGER
Predicting Early-Onset Colorectal Cancer with Large Language Models
As of 20 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2506.11410.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:42:25.560175Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 8564c391-53ed-43db-a0a2-6b71631fd33f · outbound
This paper cites Advanced-stage colorectal cancer in persons younger than 50 years not associated with longer dura.on of symptoms or .me to diagnosis.
Predicting Early-Onset Colorectal Cancer with Large Language Models Advanced-stage colorectal cancer in persons younger than 50 years not associated with longer dura.on of symptoms or .me to diagnosis
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:15:11.492161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 71f06a7b-766f-4139-80f5-ef3a15100d30 · outbound
This paper cites Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale.
Predicting Early-Onset Colorectal Cancer with Large Language Models Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:15:11.338949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 400bbe45-8682-4fef-8977-3bb45a4d0ef5 · inbound
TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection cites this paper.
TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection Predicting Early-Onset Colorectal Cancer with Large Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:45:36.688226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.