Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.10379.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:38.767735Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 7c07bb73-b6f6-4ad6-bce5-024e5cfd8cde · inbound
LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cdd079b-9d52-4a0f-8508-4a4a57a6cc9c · inbound
LLMs can be easily Confused by Instructional Distractions DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d177d54-1935-4f31-9909-7737b8546399 · inbound
Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfdf6b95-24bb-4510-832c-a32450c7d7f0 · inbound
Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.