Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.09193.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:54:50.847944Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T05:17:35.536880Z
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 02b9896e-e9fd-41c5-b6a5-8311df072eb9 · inbound
Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving Dense outlier detection and open-set recognition based on training with noisy negative images
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation daa4322f-a7db-4148-8337-8b9e10d423ec · inbound
$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization Dense outlier detection and open-set recognition based on training with noisy negative images
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57dcb2ae-1cd0-4d90-9c26-921a269e567b · inbound
Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection Dense outlier detection and open-set recognition based on training with noisy negative images
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.