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 9 inbound Pith citation observations for arXiv:2301.09498.
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 2026-08-16T11:43:39.822712Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:36:17.871523Z
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 030b99a0-a760-4295-9691-93554dfa4030 · inbound
CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 821a22c7-c8ea-4882-a5fc-580b1efef422 · inbound
Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f5b56a1-64fa-40e5-a22c-843a6f62e3d5 · inbound
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbe0795a-3f33-4a97-a8c2-e0e0d77398a4 · inbound
Scale-adaptive UAV Geo-localization via Height-aware Partition Learning Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0f365df-1d2f-49fd-8e1f-531eab34470d · inbound
Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99b68d6e-7211-4f9c-89d3-7354f4353780 · inbound
Collaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identification Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5afb4495-6515-4f53-acf6-cc1c2048a6e0 · inbound
DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9190cfd7-b6ed-4716-bbb5-d1d5e9e17042 · inbound
EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbcfa127-d0c3-4aaa-8466-dea3af202089 · inbound
Generalization Limits in Vehicle Re-Identification Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Reference 36
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.