Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.05930.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:48.266455Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T18:15:58.615462Z
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 104c7c22-1be2-44f1-a691-bc5cc85fb470 · inbound
Agentic Retrieval of Topics and Insights from Earnings Calls BERTrend: Neural Topic Modeling for Emerging Trends Detection
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e186ea0e-ec67-4ed8-b224-0db77fee0850 · inbound
Continual Neural Topic Model BERTrend: Neural Topic Modeling for Emerging Trends Detection
Reference 2003
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6db51cb-dafd-46a6-a064-8d8aa1acf0c5 · inbound
Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework BERTrend: Neural Topic Modeling for Emerging Trends Detection
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation be1b947f-1dff-4ed3-845b-0550158b374d · inbound
AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends BERTrend: Neural Topic Modeling for Emerging Trends Detection
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.