Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.17026.
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 2026-08-16T11:12:05.336877Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:04:57.073696Z
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 4e0c9f8b-abfa-40ad-b6f5-0b0c4535c949 · inbound
Affect Models Have Weak Generalizability to Atypical Speech From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 166f5d64-642f-4d2a-9ad3-e66df1bf4ba7 · inbound
Can Third-parties Read Our Emotions? From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1c84bc9-587b-4ed0-b9da-83c077c38104 · inbound
Network Effects and Agreement Drift in LLM Debates From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs
Reference 7
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.
Observation bd458d08-8181-44b5-b1ad-7ebe842fc7d0 · inbound
A Survey of Large Language Models for Perception and Measurement of Human Psychology From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs
Reference 73
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.