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Paper Citation Record · LEDGER

Aggregate Models, Not Explanations: Improving Feature Importance Estimation

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.

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 2026-08-07T06:34:17.273281+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:d780d0e556d0b18e620d9ed95b433a28c28a11a5994a8d17f9db2a536d939d31

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:c4e27dcb16968d90d598df07f775285f1df49f4f25d0209618d484a2f7179144

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=sha256:8256c4ab683c08171b5047c9f27e2b7ffbc342f29a3d784b019bfd3102c83a71

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:fb53a0c4e5f40e7b912167e1f5d4100c7a89213bb361df273e6f34ff2880d03a

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=sha256:5f66661eb567503afb6a64412abeebbca05813fdd9521f6d02029810982dfded

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-03T00:09:32.321117Z digest=sha256:65cf32c68fa4acdaacf9ca0dc569a7e82974944b8fef45b287f2c48ac6e0965a

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=sha256:2632f74fe5f93b1cb3f50fd2f19fbe88991f0d4990f70c1d6898af8da2580a4b

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=sha256:89e23eca9aea2863a740f7e7492964abf7dbee1abc572d3f95d013cce84ed96b

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=sha256:0488fc39915c6843095adbfc77339387c63a71f93a5e7abbdbae148bf4b28a68

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=sha256:8816ce7081d1b7ae6d58808168df950ec74c3d0c5e9eb89030f552b3d1f3d863

Pith citing papers

No inbound Pith citation observations are available.