Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.11406.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:22:37.543528Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:34:43.010216Z
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 9879feab-10c3-4e8d-835e-e5eda94f7f7f · inbound
Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
Reference 68
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 414a232e-78d6-4f9b-b335-c607ec1fb554 · inbound
Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fab05561-5395-498f-9904-e7b8dd79c172 · inbound
Chumor 2.0: Towards Benchmarking Chinese Humor Understanding Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
Reference 56
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c0342ba-96d3-4682-b533-82a72dc7fad4 · inbound
Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
Reference 33
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.