Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.04110.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:20:12.774812Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T06:41:22.041170Z
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 88960255-95ba-4b78-aa07-87b80f5baede · inbound
An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 882c25a1-8e71-4444-bf08-1b5491061cf0 · inbound
Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f77eaf4d-5e9b-409d-b72a-6e216609ae77 · inbound
PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e640bf31-bb57-4e45-af23-5c35e245fa29 · inbound
Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.