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Paper Citation Record · LEDGER

Influence functions and regularity tangents for efficient active learning

As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.15292.

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

pith.paper-citation-record.v1
2411.15292 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:33:48.749659Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

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  • verified fuzzy24
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc32590e-196a-4f80-a189-31368a26c131 · outbound

This paper cites Second-Order Stochastic Optimization for Machine Learning in Linear Time, 2017.

Influence functions and regularity tangents for efficient active learning Second-Order Stochastic Optimization for Machine Learning in Linear Time, 2017

Reference 1

Resolution
verified fuzzy
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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.

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Observation 7bb1944f-a9c5-4e16-b480-585a2b5b5a8b · outbound

This paper cites Understanding Black-box Predictions via Influence Functions, 2017.

Influence functions and regularity tangents for efficient active learning Understanding Black-box Predictions via Influence Functions, 2017

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.164487Z

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.

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Observation 6fee0bd9-a4a4-4237-8c9c-0e2b6c678c01 · outbound

This paper cites Automatic differentiation and iterative processes, 1992.

Influence functions and regularity tangents for efficient active learning Automatic differentiation and iterative processes, 1992

Reference 3

Resolution
verified fuzzy
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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.

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Observation 5242373b-4895-4f01-b9c8-f59c578a9b1d · outbound

This paper cites Gradient-Based Optimization of Hyper-Parameters, 1999.

Influence functions and regularity tangents for efficient active learning Gradient-Based Optimization of Hyper-Parameters, 1999

Reference 4

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-12T14:33:48.648354Z digest=sha256:0170a480d37994c21f8d966a53f7a7d4788e946641a9cf279c532eec72167d4a

Observation e8fcb1de-ae23-4870-b2e9-984b39f194c2 · outbound

This paper cites Gradient-based Hyperparameter Optimization through Reversible Learning, 2015.

Influence functions and regularity tangents for efficient active learning Gradient-based Hyperparameter Optimization through Reversible Learning, 2015

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.114584Z

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.

source=pdf_text observed=2026-08-12T14:33:48.653433Z digest=sha256:43a86dfb796965c3dd411222481e7efb1919d026dbf659cd4ad9916d7cf3cd57

Observation 164bb1bb-d831-431b-8ef5-681a5ee2403b · outbound

This paper cites Forward and Reverse Gradient-Based Hy- perparameter Optimization, 2017.

Influence functions and regularity tangents for efficient active learning Forward and Reverse Gradient-Based Hy- perparameter Optimization, 2017

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.096801Z

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.

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Observation 7e0ca199-118d-49ed-86e3-0585643e2ced · outbound

This paper cites Bilevel Programming for Hyperparameter Optimization and Meta-Learning, 2018.

Influence functions and regularity tangents for efficient active learning Bilevel Programming for Hyperparameter Optimization and Meta-Learning, 2018

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.080366Z

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.

source=pdf_text observed=2026-08-12T14:33:48.664482Z digest=sha256:499d127c4550a1a6b1e5a933f83747e4eda3fee8b1660cbc6996579fdb7de8b6

Observation 05bb7fd5-a3be-4db4-ad8f-e9e703c61202 · outbound

This paper cites Optimizing Millions of Hyperparameters by Implicit Differentiation, 2020.

Influence functions and regularity tangents for efficient active learning Optimizing Millions of Hyperparameters by Implicit Differentiation, 2020

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.062843Z

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.

source=pdf_text observed=2026-08-12T14:33:48.669311Z digest=sha256:45d23866611963c0e2b0c7047b6fdd72dafc908eebc71327ca55da1e953eda14

Observation a992d90d-7733-4de3-8fcf-2569fe48f23b · outbound

This paper cites Residuals and Influence in Regression, 1982.

Influence functions and regularity tangents for efficient active learning Residuals and Influence in Regression, 1982

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.046814Z

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.

source=pdf_text observed=2026-08-12T14:33:48.674801Z digest=sha256:d593eb26843081009e8c073decf03d25b6ad09df4826a3fc0241b0f27dc29f3c

Observation 09678f1b-894f-4f5f-af8d-7b6e4c03fc19 · outbound

This paper cites Influence Selection for Active Learning, 2021.

Influence functions and regularity tangents for efficient active learning Influence Selection for Active Learning, 2021

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.030167Z

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.

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Observation 272a7360-19dc-46e1-93aa-b89687c0462c · outbound

This paper cites Scaling Up Influence Functions, 2021.

Influence functions and regularity tangents for efficient active learning Scaling Up Influence Functions, 2021

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:49.014148Z

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.

source=pdf_text observed=2026-08-12T14:33:48.684410Z digest=sha256:04b66986a4af0bf478d7c79dad894696ab59f25426dc5f7de836caa0aebe8b19

Observation 64adcb2e-c024-47f3-a424-2dd31c80775d · outbound

This paper cites Reliable Active Learning via Influence Functions, 2023.

Influence functions and regularity tangents for efficient active learning Reliable Active Learning via Influence Functions, 2023

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.998315Z

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.

source=pdf_text observed=2026-08-12T14:33:48.689118Z digest=sha256:45f89530d4711fb283a606e076e07312355ad5d27ecb49494a30c9da10bf6561

Observation cae10d75-9b25-433b-99b2-d86a489a8d3b · outbound

This paper cites Maximizing Expected Model Change for Active Learning in Regression, 2013.

Influence functions and regularity tangents for efficient active learning Maximizing Expected Model Change for Active Learning in Regression, 2013

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.982252Z

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.

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Observation 8865aaa5-c4a3-4f64-af26-f5757ac055b3 · outbound

This paper cites A Swiss Army Infinitesimal Jackknife, 2019.

Influence functions and regularity tangents for efficient active learning A Swiss Army Infinitesimal Jackknife, 2019

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.965371Z

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.

source=pdf_text observed=2026-08-12T14:33:48.700601Z digest=sha256:0d36d5dfd424ad5e35411a37140bbdd88175081f7a010ae741ba4452d3c09816

Observation 2a8e7940-962f-43a8-95d3-e9ac4a94ccb8 · outbound

This paper cites Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter, 1979.

Influence functions and regularity tangents for efficient active learning Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter, 1979

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.948432Z

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.

source=pdf_text observed=2026-08-12T14:33:48.705365Z digest=sha256:5dae93f46192c2bf7b290b5cfd11999ba0fc947cdfa3c48ec227b6342a8a9801

Observation 92017f67-5726-4a9e-bf3f-3d3649f3eddd · outbound

This paper cites Active Learning Literature Survey, 2010.

Influence functions and regularity tangents for efficient active learning Active Learning Literature Survey, 2010

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.931677Z

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.

source=pdf_text observed=2026-08-12T14:33:48.709843Z digest=sha256:d7a2e1d2a721f8707f9433f2cfae65a3c4bef3551edbd43b3bb48879bf559a3f

Observation 3ba4bf91-990c-4eeb-aeb3-23044a453c7e · outbound

This paper cites Improving Generalization with Active Learning, 1994.

Influence functions and regularity tangents for efficient active learning Improving Generalization with Active Learning, 1994

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.913288Z

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.

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Observation 80ff4eae-0dd3-492c-960c-766d837665fb · outbound

This paper cites Adam: A Method for Stochastic Optimization, 2015.

Influence functions and regularity tangents for efficient active learning Adam: A Method for Stochastic Optimization, 2015

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.895494Z

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.

source=pdf_text observed=2026-08-12T14:33:48.719567Z digest=sha256:d068b6e4f6e8589ad4ea9c635a8e4496de182f6b0641ba8c3d6c4c0377f42d24

Observation a015aec4-eec0-429e-8c9a-6d8c4b045606 · outbound

This paper cites Practical Recommendations for Gradient-Based Training of Deep Architec- tures, 2012.

Influence functions and regularity tangents for efficient active learning Practical Recommendations for Gradient-Based Training of Deep Architec- tures, 2012

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.876012Z

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.

source=pdf_text observed=2026-08-12T14:33:48.724656Z digest=sha256:36ddb1312aacd6a158b961636ea3081906af15b80dec66ad0290d48325840819

Observation 5412493d-36e8-4b7e-985f-d87edbe219b8 · outbound

This paper cites Generic Methods for Optimization-Based Modeling, 2012.

Influence functions and regularity tangents for efficient active learning Generic Methods for Optimization-Based Modeling, 2012

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.855479Z

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.

source=pdf_text observed=2026-08-12T14:33:48.729555Z digest=sha256:f47b2860ca519a8187b6c99ca0106ac9e6e00c8ddc1fc1a757c10cb79f7ec553

Observation 3a83bd9b-a59b-4305-9cb8-5dfaf0e93cb8 · outbound

This paper cites Fast Exact Multiplication by the Hessian, 1993.

Influence functions and regularity tangents for efficient active learning Fast Exact Multiplication by the Hessian, 1993

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.837636Z

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.

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Observation af221d94-1cec-4ee7-af3a-7f2bb5c7fc1d · outbound

This paper cites Automatic Differentiation in Machine Learning: a Survey, 2018.

Influence functions and regularity tangents for efficient active learning Automatic Differentiation in Machine Learning: a Survey, 2018

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.819006Z

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.

source=pdf_text observed=2026-08-12T14:33:48.739839Z digest=sha256:77d6d1aac67f9c0c58ddc518a2a771458e0df553ed05bc06369fd128c0dd47b1

Observation 657291ef-0fc4-4b68-a518-0b02ccca048f · outbound

This paper cites Gradients without Backpropagation, 2022.

Influence functions and regularity tangents for efficient active learning Gradients without Backpropagation, 2022

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.804020Z

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.

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Observation 852ff23a-414e-4364-9ef2-9ae810c68712 · outbound

This paper cites An Introduction to the Conjugate Gradient Method Without the Agonizing Pain, 1994.

Influence functions and regularity tangents for efficient active learning An Introduction to the Conjugate Gradient Method Without the Agonizing Pain, 1994

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:33:48.788535Z

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.

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Pith citing papers

No inbound Pith citation observations are available.