Paper Citation Record · LEDGER

Newfluence: Boosting Model interpretability and Understanding in High Dimensions

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.11895.

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

pith.paper-citation-record.v1
2507.11895 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:05:27.565899Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T17:47:21.976868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:50:26.377614Z

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy20
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9839b0e5-13ef-4808-8efe-487590dc9555 · outbound

This paper cites write newline.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:25.072845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb672e7-15a7-4531-9d8a-b92104164c8e · outbound

This paper cites Approximate leave-one-out cross validation for regression with l1 regularizers.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Approximate leave-one-out cross validation for regression with l1 regularizers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:32.346873Z

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 ab695f7f-e610-4a99-98f5-41eaf578838c · outbound

This paper cites an unresolved cited work.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:05:32.089656Z

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 0f6c931e-69aa-46d8-8f61-5c8b3df774f2 · outbound

This paper cites Influence Functions in Deep Learning Are Fragile.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Influence Functions in Deep Learning Are Fragile

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:25.232575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f96fc4-8231-4d94-b6a1-3d8029dd2be4 · outbound

This paper cites and Montanari, A.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions and Montanari, A

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:31.870385Z

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 10e4aa38-6803-47bf-9212-1793c8db09f6 · outbound

This paper cites L., Maleki, A., and Montanari, A.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions L., Maleki, A., and Montanari, A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:31.615131Z

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 63a59537-0ea4-4cc9-b4a9-9e78f41b48dd · outbound

This paper cites J., Lim, C., and Yu, B.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions J., Lim, C., and Yu, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:31.333899Z

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 71c41fa2-81bd-4300-9abf-d32511767b53 · outbound

This paper cites and Zou, J.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions and Zou, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:31.144534Z

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 109de9b3-f76f-4686-b154-20ab34936066 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Studying Large Language Model Generalization with Influence Functions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:25.519711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2856289d-7b7d-471a-8bc5-a2a375b0c339 · outbound

This paper cites Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:25.564344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed9bafc-b399-40fb-87e2-c1f11c4586c8 · outbound

This paper cites and Lowd, D.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions and Lowd, D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:30.901001Z

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 d5b6759c-98b7-405d-ae36-915dd790c4db · outbound

This paper cites an unresolved cited work.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:05:30.613189Z

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 7c19b59b-329b-43de-9e67-2e97852f6bfc · outbound

This paper cites Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:05:28.022448Z

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 0695dd63-fab4-407d-b070-69230b1592b5 · outbound

This paper cites M., Engstrom, L., Leclerc, G., and Madry, A.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions M., Engstrom, L., Leclerc, G., and Madry, A

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:30.525550Z

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 dc49b621-61bf-42c3-a521-350bc7493d8b · outbound

This paper cites and Maleki, A.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions and Maleki, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:30.249576Z

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 fe021222-1271-45a2-815f-65e5ded8a168 · outbound

This paper cites A., Hynes, N., G \"u rel, N.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions A., Hynes, N., G \"u rel, N

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:30.058751Z

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 b8d857d5-7919-498c-be77-6f2fa3dad7f5 · outbound

This paper cites an unresolved cited work.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:05:29.879684Z

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 c65d0de4-682d-4887-968a-9909d747e7b4 · outbound

This paper cites and Zou, J.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions and Zou, J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:29.691213Z

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 37559ed8-5782-44c3-bd40-7f1aac894895 · outbound

This paper cites DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:26.188205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0eb37ea-059a-4ac1-8b7f-eef63b1462c2 · outbound

This paper cites Minimum $\ell_{1}$-norm interpolators: Precise asymptotics and multiple descent.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Minimum $\ell_{1}$-norm interpolators: Precise asymptotics and multiple descent

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:05:27.800185Z

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 732e271e-2e33-49c6-8f5e-8d0b251aec68 · outbound

This paper cites Understanding Impact of Human Feedback via Influence Functions.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Understanding Impact of Human Feedback via Influence Functions

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb0b4d3-2a14-4cd0-bc5b-25f3f68d3794 · outbound

This paper cites M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:29.593231Z

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 c8290ff3-604b-4baf-bc17-e81535a85f27 · outbound

This paper cites Estimating training data influence by tracing gradient descent.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Estimating training data influence by tracing gradient descent

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:29.493829Z

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 e083e853-a034-42fa-a4e0-44b6f60d69f5 · outbound

This paper cites and Maleki, A.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions and Maleki, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:29.374284Z

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 173da1c4-4c6e-45c1-bfba-37fc1d4cf290 · outbound

This paper cites Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:29.226768Z

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 3fa7b1b5-8385-494f-8eb3-d784ed81c69b · outbound

This paper cites The shapley value in machine learning.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions The shapley value in machine learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:29.114223Z

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 534002b4-9a43-44f1-9512-9b6319864a13 · outbound

This paper cites Theoretical and practical perspectives on what influence functions do.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Theoretical and practical perspectives on what influence functions do

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:28.989305Z

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 99608b86-5519-4170-b1f6-ab38e858af92 · outbound

This paper cites and Najmi, A.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions and Najmi, A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:28.810638Z

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 f7397b09-3781-4119-94b6-c66f11a698e3 · outbound

This paper cites an unresolved cited work.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:05:28.677098Z

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 09930eed-dc32-4281-8517-995258c11db8 · outbound

This paper cites Data Shapley in One Training Run.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Data Shapley in One Training Run

Reference 30

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Source-reported events for the cited work

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Observation 8b6cddc4-3d21-4dae-a9fa-9c7ded7fd880 · outbound

This paper cites Capturing the Temporal Dependence of Training Data Influence.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Capturing the Temporal Dependence of Training Data Influence

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:27.084783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc11527-d3f8-4f71-b0d9-6c632c51921f · outbound

This paper cites Approximate leave-one-out for fast parameter tuning in high dimensions.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Approximate leave-one-out for fast parameter tuning in high dimensions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:28.533269Z

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 d8e86eff-ad18-4e38-9ffe-42d88e9c9a3a · outbound

This paper cites I., and Ravikumar, P.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions I., and Ravikumar, P

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:28.368268Z

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 4b973cbc-4500-4848-b58b-edfe9da41961 · outbound

This paper cites Correcting large language model behavior via influence function.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Correcting large language model behavior via influence function

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:05:28.189830Z

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 6f4f0f2d-edb4-4b26-8f06-60522d9fd144 · outbound

This paper cites Does _p -minimization outperform _1 -minimization? IEEE Transactions on Information Theory, 63 0 (11): 0 6896--6935, 2017.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Does _p -minimization outperform _1 -minimization? IEEE Transactions on Information Theory, 63 0 (11): 0 6896--6935, 2017

Reference 35

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Source-reported events for the cited work

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Observation 7e220514-e9fb-4268-8ab4-25e40dda9238 · outbound

This paper cites Certified Data Removal Under High-dimensional Settings.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Certified Data Removal Under High-dimensional Settings

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:27.565899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b95c9581-e190-46f1-8c82-74f79a21966f · inbound

On the Accuracy of Newton Step and Influence Function Data Attributions cites this paper.

On the Accuracy of Newton Step and Influence Function Data Attributions Newfluence: Boosting Model interpretability and Understanding in High Dimensions

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:50:26.379679Z

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.