Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.19019.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:08:43.894523Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:22:27.763273Z
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 db5aec97-bce9-442d-ba7e-e069abbbea10 · inbound
RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines RAGProbe: An Automated Approach for Evaluating RAG Applications
Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1ce887c-bd06-4544-b3d6-16b768d225fe · inbound
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models RAGProbe: An Automated Approach for Evaluating RAG Applications
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d0c1ad4-d94f-428c-92e0-ba674e36cdb5 · inbound
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets RAGProbe: An Automated Approach for Evaluating RAG Applications
Reference 70
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0296b7b-8d4a-4580-909e-3b15f67be7d2 · inbound
A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis RAGProbe: An Automated Approach for Evaluating RAG Applications
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.