Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.14728.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:58:07.457058Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T12:04:39.502737Z
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 54145a68-e63b-404e-9523-54e60cba72c0 · inbound
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection cites this paper.
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:04:39.509377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 51b216a9-9d3e-417f-8d71-6ea1e4235ded · inbound
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News cites this paper.
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:58:07.457058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.