Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1811.10154.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:52:56.508484Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
44
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 007bcd9a-38cb-444e-bc77-673eeb4abe80 · inbound
Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77bcbc21-81a9-4cae-94d7-905506c35fda · inbound
The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 70
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8de9b13-d561-481f-9c11-3a1b50f80d47 · inbound
AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d71ac66-a59f-4c07-a1a9-ae4fe7c1d177 · inbound
Interpretable machine learning of halo gas density profiles: a sensitivity analysis of cosmological hydrodynamical simulations Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 71
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c0cb1a0-c856-4ede-bce8-af1ce930e815 · inbound
MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e146dd14-54cd-49f3-ac28-90f8c0580e37 · inbound
Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 77
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8f327af4-4234-40d9-bf06-c5530906f95f · inbound
Agentic-imodels: Evolving agentic interpretability tools via autoresearch Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 18365b0b-4c15-498a-8fb3-d1d22900885e · inbound
Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 50c92403-3b56-4f91-a84d-cd76d2b2f986 · inbound
Beyond Explaining Predictions: Logic-Based Explanations for Confidence in Machine Learning Models Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d16bcabe-80da-4228-91d0-e02ed35b9b94 · inbound
Foundation Models for Astrophysics Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Reference 112
Source-reported events for the cited work
Unavailable: canonical work link unavailable.