Paper Citation Record · LEDGER

Testing Most Influential Sets

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2510.20372.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2510.20372 v4

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:32:09.406606Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:24:43.867063Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact4
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce653d75-4eb9-4dfa-bffc-7536bfabc33a · outbound

This paper cites On Second-Order Group Influence Functions for Black-Box Predictions.

Testing Most Influential Sets On Second-Order Group Influence Functions for Black-Box Predictions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:06.359166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cabd8f1-3d95-4b0b-b345-89620bf2c038 · outbound

This paper cites Belsley, Edwin Kuh, and Roy E.

Testing Most Influential Sets Belsley, Edwin Kuh, and Roy E

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:06.453853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbd6457-4f54-4ff3-85b1-9ab72f11a257 · outbound

This paper cites Leave-one-out Unfairness.

Testing Most Influential Sets Leave-one-out Unfairness

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:06.603854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44366fad-702e-4d81-8cd6-5b6b488f0fdf · outbound

This paper cites An automatic finite-sample robustness metric: Can dropping a little data make a big difference?, 2021.

Testing Most Influential Sets An automatic finite-sample robustness metric: Can dropping a little data make a big difference?, 2021

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:06.727434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83be4a9e-4ec0-4331-b9d9-20c43ba78a41 · outbound

This paper cites On the maximum likelihood estimator for the generalized extreme-value distribution.

Testing Most Influential Sets On the maximum likelihood estimator for the generalized extreme-value distribution

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:06.774819Z

Source-reported events for the cited work

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Observation d26b7134-e45e-4e22-b84a-a454fb6d4f07 · outbound

This paper cites Why Is My Classifier Discriminatory ? In Advances in Neural Information Processing Systems , volume 31.

Testing Most Influential Sets Why Is My Classifier Discriminatory ? In Advances in Neural Information Processing Systems , volume 31

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:06.851679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cff06507-b0b8-4001-97fd-832c79e84e34 · outbound

This paper cites What Data Benefits My Classifier ?.

Testing Most Influential Sets What Data Benefits My Classifier ?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:06.963704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3880822-b954-4e31-b4b5-78f972131c13 · outbound

This paper cites An introduction to statistical modeling of extreme values.

Testing Most Influential Sets An introduction to statistical modeling of extreme values

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.049982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66621688-f542-4fa4-82cd-1ce8661101e4 · outbound

This paper cites Influential observations in linear regression.

Testing Most Influential Sets Influential observations in linear regression

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.102880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d77176-0513-4917-915d-f53288ea99ed · outbound

This paper cites Extreme value theory: A n introduction.

Testing Most Influential Sets Extreme value theory: A n introduction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.183183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229c53d1-8419-48c9-8b2e-d194011a2910 · outbound

This paper cites Maximum likelihood estimators based on the block maxima method.

Testing Most Influential Sets Maximum likelihood estimators based on the block maxima method

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.266064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64bd6550-892f-4ecf-836c-0cf34682810b · outbound

This paper cites Modelling extremal events, volume 33 of applications of mathematics, 1997.

Testing Most Influential Sets Modelling extremal events, volume 33 of applications of mathematics, 1997

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.344055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f218f154-2e35-4fbb-bc1c-7b767eb30957 · outbound

This paper cites Influence Diagnostics under Self -concordance.

Testing Most Influential Sets Influence Diagnostics under Self -concordance

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.426110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fcd6aa1-fd0f-4b6d-9550-f41154431a43 · outbound

This paper cites Towards Practical Robustness Auditing for Linear Regression.

Testing Most Influential Sets Towards Practical Robustness Auditing for Linear Regression

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-04T08:33:25.657418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 756622ed-81e1-4264-8d0a-ee66fca9922d · outbound

This paper cites Data Shapley : Equitable Valuation of Data for Machine Learning.

Testing Most Influential Sets Data Shapley : Equitable Valuation of Data for Machine Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.593648Z

Source-reported events for the cited work

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Observation b7f04eb5-1e26-456a-8c88-1c6a1a6782ff · outbound

This paper cites Rubega, and Chris S.

Testing Most Influential Sets Rubega, and Chris S

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.674980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e9e113-1aa9-425f-9c6c-27b848ecf7d3 · outbound

This paper cites Most Influential Subset Selection: Challenges, Promises, and Beyond.

Testing Most Influential Sets Most Influential Subset Selection: Challenges, Promises, and Beyond

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.781142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6defac-44ab-4d3c-a847-bf26e5bcdae1 · outbound

This paper cites Huang, David R.

Testing Most Influential Sets Huang, David R

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.869651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 463ca1f8-0245-4780-9989-8ec69822a206 · outbound

This paper cites Huber and Elvezio M.

Testing Most Influential Sets Huber and Elvezio M

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.949215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8cfea0-2496-4fc0-a808-0c6b448bb0ba · outbound

This paper cites Understanding Black -box Predictions via Influence Functions.

Testing Most Influential Sets Understanding Black -box Predictions via Influence Functions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.050137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe414ab-f709-4c68-99e4-c9f85ff6b607 · outbound

This paper cites On the Accuracy of Influence Functions for Measuring Group Effects.

Testing Most Influential Sets On the Accuracy of Influence Functions for Measuring Group Effects

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.113539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e7f511-0e56-4406-9443-a8e904921138 · outbound

This paper cites Hidden in plain sight: Influential sets in linear regression.

Testing Most Influential Sets Hidden in plain sight: Influential sets in linear regression

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.202203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc267e12-01ac-4aa8-8c27-dc519daea63f · outbound

This paper cites Provably Auditing Ordinary Least Squares in Low Dimensions.

Testing Most Influential Sets Provably Auditing Ordinary Least Squares in Low Dimensions

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-04T08:33:25.468763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e6aeeed5-6ce3-4438-92cf-64c3c53bb555 · outbound

This paper cites The historical roots of economic development.

Testing Most Influential Sets The historical roots of economic development

Reference 24

Resolution: verified exact; doi, observed 2026-08-04T08:33:25.358633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 108986e3-a574-4dbc-b57c-e75aafc4ccfc · outbound

This paper cites Hardness and Algorithms for Robust and Sparse Optimization.

Testing Most Influential Sets Hardness and Algorithms for Robust and Sparse Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.389035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df141a95-c272-4a08-8df9-504a6e9ae56a · outbound

This paper cites Duarte, and Jochen Garcke.

Testing Most Influential Sets Duarte, and Jochen Garcke

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.476454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 978a7344-35f6-4386-96d8-ba221714387a · outbound

This paper cites Robustness Auditing for Linear Regression: To Singularity and Beyond.

Testing Most Influential Sets Robustness Auditing for Linear Regression: To Singularity and Beyond

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-04T08:33:25.211259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52acbfef-908b-415d-99c6-e6cbc98dac6e · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

Testing Most Influential Sets Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.606281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc549e8-06f4-44d1-a528-0945c2d1d317 · outbound

This paper cites Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.

Testing Most Influential Sets Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.715803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9526bb-e856-4745-89af-a3516ff311de · outbound

This paper cites Theoretical and Practical Perspectives on what Influence Functions Do.

Testing Most Influential Sets Theoretical and Practical Perspectives on what Influence Functions Do

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.833265Z

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Unavailable: canonical work link unavailable.

Observation 76747275-6f3d-4dd9-b405-19fda881c534 · outbound

This paper cites Maximum likelihood estimation in a class of nonregular cases.

Testing Most Influential Sets Maximum likelihood estimation in a class of nonregular cases

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:08.920656Z

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Unavailable: canonical work link unavailable.

Observation bd3518d6-fbb5-4ae2-8da9-1abbeb8ef134 · outbound

This paper cites Toward Multimodal Modeling of Emotional Expressiveness.

Testing Most Influential Sets Toward Multimodal Modeling of Emotional Expressiveness

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:09.030526Z

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Observation 4f5bfbe3-868e-4094-a790-75ac6da88847 · outbound

This paper cites write newline.

Testing Most Influential Sets write newline

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:09.142511Z

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Observation 7329591f-54f8-4f4c-bc9c-b8c3d24147dd · outbound

This paper cites @esa (Ref.

Testing Most Influential Sets @esa (Ref

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:09.258492Z

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Observation fc7865b3-84c6-46f9-91a3-231cdc622df1 · outbound

This paper cites an unresolved cited work.

Testing Most Influential Sets Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:09.331383Z

Source-reported events for the cited work

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Observation cd3a214a-9a76-4a92-b05a-4dffab86d818 · outbound

This paper cites What Data Benefits My Classifier ?.

Testing Most Influential Sets What Data Benefits My Classifier ?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:09.406606Z

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Pith citing papers

Observation 495bf7ec-d404-4d91-95a5-d1aeae1779eb · inbound

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics cites this paper.

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics Testing Most Influential Sets

Reference 129

Resolution: unresolved; no resolver link, observed 2026-07-13T04:24:43.867063Z

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Unavailable: canonical work link unavailable.