Pith. sign in

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 2026-08-13T06:32:02.005865+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

  • verified exact0
  • verified fuzzy24
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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
raw_fallback, observed 2026-08-12T14:33:49.180209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.633081Z digest=sha256:dbfd04da295b6c4fe1fe9f49c1bcf24a30c346c9e692e6dd7fe0904822253a59

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.638575Z digest=sha256:8cb2255c9d48c43c6e79fd6bac61e17baabfa55d94733ec7c5caa8dc9014fa96

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
raw_fallback, observed 2026-08-12T14:33:49.147187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.643556Z digest=sha256:3ced655b5ee364999effd1a5503374a1b66bc4bf1110db5ee024f283948e1014

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
raw_fallback, observed 2026-08-12T14:33:49.130431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.648354Z digest=sha256:21138ecb26904f2c55d80bd6641443e5aebf6463e5b2078d216ba84cc943382b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.653433Z digest=sha256:39b6a5d0c560b65bf83223df804f5fa2c92093ca054b9f7846225c4e17d6ee91

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.658709Z digest=sha256:24437449a920d93eac35cfcacaadec2784c87133b4e14ecfd1f80099543f6237

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.664482Z digest=sha256:04699661952bb7e8b2efcd9f9593c398c9d973711dab6caf0fe05aec4bfe267b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.669311Z digest=sha256:fc80e943861a40d8c68573a9d2b7ab470c10ee234f8a11106850b2d5edc3235e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.674801Z digest=sha256:55ed5c56144e85711b1c2103be316bef7435b6095a8894cd62fac52b6dcc8692

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.679671Z digest=sha256:fc4573e5f560c9a125b9b1f07a7bafe818c6774ec8f38b0d036b451023693c21

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.684410Z digest=sha256:a222547eb470df70408b31bff2344aca41c1d2a9288906c5e0992852bf5f7b95

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.689118Z digest=sha256:ea69f2e7a937e4a1ec5543096cfd2f84a38bc0ebd59c7f303560df409c69c60a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.694663Z digest=sha256:ba8acd6a42a5457d908a5c8d539ab1d3de60d0b4b068a98ab510255244f3b4a2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.700601Z digest=sha256:3671c22750446f5643c1847fe99325fb2dc5495aaba008d3c7633e48a7bcb3bf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.705365Z digest=sha256:e9aa58331f559b4b1a7ebdad25146f608e5d0b0a02f1e2f5ed238046a7556363

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.709843Z digest=sha256:a6d6d942a78e019913b3a8caa4724e9da0dd3c5290e998c72db894f1303992e4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.714577Z digest=sha256:b74a27b539be430875b44002ad3ab92ad8a2dbe4bd96d66043c3869ed30940a7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.719567Z digest=sha256:0e62e41b2b85162623b53ca1a2fd493620f201d2aa7554d9f180fdb589d9b134

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.724656Z digest=sha256:b8c28d6da1b3e0cd37299eb7aae2580c61aeabd20ffe321f307d1850bdd63331

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.729555Z digest=sha256:93cf50f797281e9db21a7825791fc8d3aff3fde680dd670e435a6841eb894494

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.734854Z digest=sha256:b0d7fbae8923bca8cf39c1cbc772d2fc09b7387671e88ddc0966e278f0648a32

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.739839Z digest=sha256:10cc0c883f8af0c7f0a4a31303511310a51d34fdbce24c7eac172e6ab7c57dfc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.744877Z digest=sha256:5735be9c7231a120b676d6dffb5956f8290581feedeb75a77d8a2b541ca018a0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:33:48.749659Z digest=sha256:89206c4de1b86c916d7352b73315ed61539f9c42fce8635a9ea970502456f55d

Pith citing papers

No inbound Pith citation observations are available.