Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dos and Don'ts of Machine Learning in Computer Security
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.09470.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T01:09:06.217807Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
24
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1df4be8d-6549-4c53-9b89-da001751d9f9 · inbound
Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives cites this paper.
Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives Dos and Don'ts of Machine Learning in Computer Security
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T16:53:12.787552Z
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 c388ab16-d55f-458b-8b17-e65a0eeba30b · inbound
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches cites this paper.
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Dos and Don'ts of Machine Learning in Computer Security
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:09:06.217807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cac53a68-30ee-469f-9459-4cc347a44f70 · inbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic cites this paper.
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Dos and Don'ts of Machine Learning in Computer Security
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:19:43.937309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d70108aa-0d32-4cc1-af37-0acce02ce5f5 · inbound
Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History? cites this paper.
Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History? Dos and Don'ts of Machine Learning in Computer Security
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:13:24.711707Z
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 96dafe39-1c50-428c-a386-407d8e9803c2 · inbound
Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets cites this paper.
Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets Dos and Don'ts of Machine Learning in Computer Security
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:59:45.880494Z
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.