Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.07398.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:21:26.117543Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:44:22.311978Z
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 75241382-06bd-4b0c-9af0-5f7d869d76bf · inbound
An Empirical Study of Evaluating Long-form Question Answering LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44dc7794-a857-4b43-b335-c5801c8ba467 · inbound
From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcdb2131-e79b-467e-a25c-22274d10937f · inbound
Evaluation and Benchmarking of LLM Agents: A Survey LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Reference 136
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.