Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:09:33.282219Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2602.11760.
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, observed 2026-08-03T00:09:33.282219Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
10 of 10 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5eceff6e-92a1-49d2-8345-7c95fc5731ec · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0468bba7-54f0-451a-a735-09c9362fa819 · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation 14 Submission and Formatting Instructions for ICML 2026 (7) Conclusion.We conclude that ˆvf (S)−v f⋆ (S) =E h L E[ ˆf(X −S)|X S], y i −E L E[f⋆(X −S)|X S], y | {z } E S +Op(n−1/2)
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01a059d5-a67e-44c8-8869-1cdfbc997fcc · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation We report the mean ROC AUC and its standard deviation across 100 random seeds
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28e0d05b-c3da-46c3-88c6-7ae78cb12dd8 · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 683a493c-e129-49f8-a044-5f2f09b71de5 · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation Unresolved cited work
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f4380c3-62ff-422e-9e8a-4ab4f7a72889 · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation org/10.1007/978-3-031-63797-1_22
Reference 22
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.
Observation 4cc47848-31e7-4a23-92bb-5c4da5a32e69 · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation A princi- pled approach for comparing variable importance.arXiv preprint arXiv:2507.17306,
Reference 2001
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4903931-3caa-4531-b9ca-934f4df73c2d · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation URL http: //www.jstor.org/stable/41058949
Reference 2010
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 981eeb73-c308-4e2f-a688-6426720af26e · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation Proofs A.1
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe8a405e-4cd2-4bf7-9028-50f8d04c3c9a · outbound
Aggregate Models, Not Explanations: Improving Feature Importance Estimation Sensitivity analysis in practice: a guide to assessing sci- entific models, volume
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.