Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.09747.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:35:38.585115Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T18:43:51.205521Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e8a9775b-45e3-476b-b801-f0d5c67aafb9 · inbound
Retrieval-Augmented Generation with Graphs (GraphRAG) Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors
Reference 226
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 170f5438-e686-4402-98a1-335ec107599e · inbound
RASR: Retrieval-Augmented Semantic Reasoning for Fake News Video Detection Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4668af7-36aa-498c-b2ac-f0d513434845 · inbound
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 523a5b80-0891-4734-b754-e21a602ed557 · inbound
GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.