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:2106.15023.
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 2026-08-06T22:06:36.655535Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:47:27.132569Z
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 b628b4b7-2f83-415f-83fa-cd1eab6f887d · inbound
Kill Two Birds with One Stone! Trajectory enabled Unified Online Detection of Adversarial Examples and Backdoor Attacks Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9561ec4-4516-4264-ad64-9aac44697868 · inbound
Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e119b98-8c3f-4e78-861e-ea1a5208eb04 · inbound
BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
Reference 2
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 86b7d648-c67d-4ab5-a06f-3f9a9d58d819 · inbound
PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
Reference 51
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.