Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.10995.
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 2026-08-12T12:02:44.585725Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 24fbbc6b-1956-4ad8-a8ba-f850085e398d · inbound
Can artificial intelligence predict clinical trial outcomes? cites this paper.
Can artificial intelligence predict clinical trial outcomes? CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:02:44.585725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a5474a4-5caf-46c0-b224-a23447a7d884 · inbound
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T17:31:07.333620Z
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.
Observation d8d85ac5-4048-41bd-bae4-640afc3dad05 · inbound
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:03:28.137933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.