Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.07399.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:06:41.120072Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:56:11.255957Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e671c50a-3883-4b5c-aaeb-70c8b21a9e73 · inbound
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation cites this paper.
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:06:41.120072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bf65177-afef-4142-8322-bb743035f18c · inbound
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers cites this paper.
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:03:56.706179Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2300353-266a-4e6d-9da9-3dd69247b1aa · inbound
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning cites this paper.
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:56:11.257387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.