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Paper Citation Record · LEDGER

Aggregate Models, Not Explanations: Improving Feature Importance Estimation

As of 21 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.

pith.paper-citation-record.v1
2602.11760 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:09:33.282219Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5eceff6e-92a1-49d2-8345-7c95fc5731ec · outbound

This paper cites Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:32.249407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:32.249407Z digest=sha256:68235721e124c7bdcd9c6f6488ae9a95c50bfc01d5ced9b2a6831ded6f454a90

Observation 0468bba7-54f0-451a-a735-09c9362fa819 · outbound

This paper cites 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).

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

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:32.892519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:32.892519Z digest=sha256:64eeb00aaab8717ff780994431ebfa284fea55d9a155c96d6d35847941940d78

Observation 01a059d5-a67e-44c8-8869-1cdfbc997fcc · outbound

This paper cites We report the mean ROC AUC and its standard deviation across 100 random seeds.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation We report the mean ROC AUC and its standard deviation across 100 random seeds

Reference 5

Resolution
malformed identifier
no resolver link, observed 2026-08-03T00:09:33.030107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:33.030107Z digest=sha256:459262cb70f146276af927599d2c0b49a31d203c99e23ebd37c39b34f0e240af

Observation 28e0d05b-c3da-46c3-88c6-7ae78cb12dd8 · outbound

This paper cites an unresolved cited work.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:33.282219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:33.282219Z digest=sha256:1798c88a11fed2203ca62e367d2ae0e9a6aa1c43c22968c7ecb6f571439c6be2

Observation 683a493c-e129-49f8-a044-5f2f09b71de5 · outbound

This paper cites an unresolved cited work.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:33.139184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:33.139184Z digest=sha256:4d3be290c1aee6b2401aa703a77cf3af32670354b82f398e864236f14fb71ee7

Observation 5f4380c3-62ff-422e-9e8a-4ab4f7a72889 · outbound

This paper cites org/10.1007/978-3-031-63797-1_22.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation org/10.1007/978-3-031-63797-1_22

Reference 22

Resolution
verified exact
doi, observed 2026-08-03T00:14:17.040035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T00:09:32.321117Z digest=sha256:17d3dbba46ee337a78d99ee082cd0d2e94c9024313680df7b1dc42f3f5c9db6a

Observation 4cc47848-31e7-4a23-92bb-5c4da5a32e69 · outbound

This paper cites A princi- pled approach for comparing variable importance.arXiv preprint arXiv:2507.17306,.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation A princi- pled approach for comparing variable importance.arXiv preprint arXiv:2507.17306,

Reference 2001

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:32.439739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:32.439739Z digest=sha256:e239d67721177ff1866161b0a1753810c25b12efc856d8da6354ff383e37f593

Observation b4903931-3caa-4531-b9ca-934f4df73c2d · outbound

This paper cites URL http: //www.jstor.org/stable/41058949.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation URL http: //www.jstor.org/stable/41058949

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:32.707352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:32.707352Z digest=sha256:8cbbe0bdc59807b8932127470e5a76843f6cbdcea4c9adf0f6688db82d4534ca

Observation 981eeb73-c308-4e2f-a688-6426720af26e · outbound

This paper cites Proofs A.1.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation Proofs A.1

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:32.790076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:32.790076Z digest=sha256:a307d2e2ae9ac54cc263fc5d7d9c2930b6043b7fbddbf815b0155f2da5b5ecc6

Observation fe8a405e-4cd2-4bf7-9028-50f8d04c3c9a · outbound

This paper cites Sensitivity analysis in practice: a guide to assessing sci- entific models, volume.

Aggregate Models, Not Explanations: Improving Feature Importance Estimation Sensitivity analysis in practice: a guide to assessing sci- entific models, volume

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T00:09:32.587356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:09:32.587356Z digest=sha256:e3b1e861b2e3d481cfed6099e8fa5165271cc619fbc321ff56ca4483f89232ed

Pith citing papers

No inbound Pith citation observations are available.