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 4 inbound Pith citation observations for arXiv:2305.15956.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:33.602124Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:29:09.975471Z
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 156fd42b-b191-47c0-ae9b-5639ffc3222b · inbound
AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis Anomaly Detection with Conditioned Denoising Diffusion Models
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28d1f063-559c-4551-8de1-f07267c3b7bd · inbound
Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Anomaly Detection with Conditioned Denoising Diffusion Models
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e73c4392-f3e5-46e3-ad95-133f49c27e78 · inbound
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation Anomaly Detection with Conditioned Denoising Diffusion Models
Reference 79
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b15d565-c6ae-4f82-b3da-547b3db8c6ea · inbound
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline Anomaly Detection with Conditioned Denoising Diffusion Models
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.