Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2102.09480.
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 2026-08-10T23:13:39.086642Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:35:41.126587Z
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 7a3fbf5e-e042-4ab9-97eb-3769e8bbb361 · inbound
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation Unbiased Teacher for Semi-Supervised Object Detection
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3736e1b7-dc8d-41b1-9076-7cf81d1cbacb · inbound
Influence of color correction on pathology detection in Capsule Endoscopy Unbiased Teacher for Semi-Supervised Object Detection
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4b56f9b-b878-4013-9304-b3f6181a7749 · inbound
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning Unbiased Teacher for Semi-Supervised Object Detection
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8628ed8e-f569-49ba-813e-683f8f3d0367 · inbound
De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unbiased Teacher for Semi-Supervised Object Detection
Reference 62
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44615de9-e921-4620-8264-0825768607d1 · inbound
SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Unbiased Teacher for Semi-Supervised Object Detection
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09babb19-1f6c-438a-85f4-9c8591c48efa · inbound
Dual Guidance Semi-Supervised Action Detection Unbiased Teacher for Semi-Supervised Object Detection
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a707a54-d9d1-492b-ac09-de50ccb743cc · inbound
PyKirigami: An interactive Python simulator for kirigami structures Unbiased Teacher for Semi-Supervised Object Detection
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25f32ad7-05ec-476f-9346-44795dab17c2 · inbound
Training a Student Expert via Semi-Supervised Foundation Model Distillation Unbiased Teacher for Semi-Supervised Object Detection
Reference 29
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 7388ef29-7dd2-43c1-8049-ee08755975eb · inbound
Multi-Modal Guided Multi-Source Domain Adaptation for Object Detection Unbiased Teacher for Semi-Supervised Object Detection
Reference 36
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 15f30dd9-caa6-40da-98c8-607d306c8ffa · inbound
FDDet: Achieving Data-Efficient Food Defect Detection Under Real-World Scenarios Unbiased Teacher for Semi-Supervised Object Detection
Reference 23
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 77ed91a3-ce98-4a5d-a059-3a337a811f76 · inbound
Simple Supervision Is Hard to Beat: A Bitter Lesson from Sparse Target Labels in Domain-Adaptive Object Detection Unbiased Teacher for Semi-Supervised Object 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.