Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.08640.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:44.130125Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T20:55:04.090725Z
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 2c560203-9948-4f9e-be1c-1a8d1fd1837c · inbound
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models cites this paper.
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:35:44.130125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5a79d38-0b04-48fa-b47a-00d7fbdb9a85 · inbound
Predicting New Concept-Object Associations in Astronomy by Mining the Literature cites this paper.
Predicting New Concept-Object Associations in Astronomy by Mining the Literature Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:31:39.424271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0a0a7059-e92e-4fc6-bfe0-703f5a2dfbea · inbound
Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation cites this paper.
Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T20:55:04.092830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.