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Paper Citation Record · LEDGER

Group-invariant Coresets for Data-efficient Active Learning

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.01089.

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

pith.paper-citation-record.v1
2607.01089 v1

Coverage vector

measured 59 of 59 reference resolution

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measured 59 of 59 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 3e3c9fc8-446e-4f3a-a888-a5c36b01228e · outbound

This paper cites Learning from multiple annotators for medical image segmentation,.

Group-invariant Coresets for Data-efficient Active Learning Learning from multiple annotators for medical image segmentation,

Reference 1

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Observation f7ae3c34-0ead-40f6-84ae-53f972151b24 · outbound

This paper cites Label-efficient learning in agriculture: A comprehensive review,.

Group-invariant Coresets for Data-efficient Active Learning Label-efficient learning in agriculture: A comprehensive review,

Reference 2

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Observation bd97674e-3e13-457a-9e92-a7d4f5babd22 · outbound

This paper cites A comprehensive review: Active learning for hyper- spectral image classifications,.

Group-invariant Coresets for Data-efficient Active Learning A comprehensive review: Active learning for hyper- spectral image classifications,

Reference 3

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Observation e00c9126-a6ac-49f9-a68a-e5e6d1faaa6e · outbound

This paper cites A survey on self-supervised learning: Algorithms, applications, and future trends,.

Group-invariant Coresets for Data-efficient Active Learning A survey on self-supervised learning: Algorithms, applications, and future trends,

Reference 4

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Observation 2ad0b8b3-ebcb-4a23-967a-92d80dfa5a3e · outbound

This paper cites Hslabeling: Towards efficient labeling for large-scale remote sensing image segmentation with hybrid sparse labeling,.

Group-invariant Coresets for Data-efficient Active Learning Hslabeling: Towards efficient labeling for large-scale remote sensing image segmentation with hybrid sparse labeling,

Reference 5

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This paper cites Active learning literature survey.

Group-invariant Coresets for Data-efficient Active Learning Active learning literature survey

Reference 6

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Observation a69495ea-ff41-4fa6-afe0-9640f9ab2499 · outbound

This paper cites A survey on deep active learning: Recent advances and new frontiers,.

Group-invariant Coresets for Data-efficient Active Learning A survey on deep active learning: Recent advances and new frontiers,

Reference 7

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Observation 610aca6e-b7c6-4323-b21c-c160e870be59 · outbound

This paper cites Geometric approxi- mation via coresets,.

Group-invariant Coresets for Data-efficient Active Learning Geometric approxi- mation via coresets,

Reference 8

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Observation 12bfa8b3-67b2-44ad-9996-3423c2acb3d4 · outbound

This paper cites Active learning for convolutional neural networks: A core-set approach,.

Group-invariant Coresets for Data-efficient Active Learning Active learning for convolutional neural networks: A core-set approach,

Reference 9

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Observation 26e96f75-87db-4428-a567-8b5dc3d8f6dd · outbound

This paper cites A coreset selection of coreset selection literature: Introduction and recent advances.

Group-invariant Coresets for Data-efficient Active Learning A coreset selection of coreset selection literature: Introduction and recent advances

Reference 10

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Observation 36985f5f-d19d-4df3-b7f0-e62a53ae2ea7 · outbound

This paper cites In defense of core-set: A density-aware core-set selec- tion for active learning,.

Group-invariant Coresets for Data-efficient Active Learning In defense of core-set: A density-aware core-set selec- tion for active learning,

Reference 11

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Observation 760884a3-39ba-4066-889c-bed5d8396551 · outbound

This paper cites Active learning through a covering lens,.

Group-invariant Coresets for Data-efficient Active Learning Active learning through a covering lens,

Reference 12

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Observation 24195e64-20b1-4509-a4c0-610e49571895 · outbound

This paper cites Generalized coverage for more robust low-budget active learning,.

Group-invariant Coresets for Data-efficient Active Learning Generalized coverage for more robust low-budget active learning,

Reference 13

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Observation 232db8ce-7f74-4681-b6ca-11dcc2a0f92f · outbound

This paper cites Fair Wasserstein Coresets.

Group-invariant Coresets for Data-efficient Active Learning Fair Wasserstein Coresets

Reference 14

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Observation c74c96e8-60d2-4230-b62b-4e244dda2c75 · outbound

This paper cites Geometric Median Matching for Robust k-Subset Selection from Noisy Data.

Group-invariant Coresets for Data-efficient Active Learning Geometric Median Matching for Robust k-Subset Selection from Noisy Data

Reference 15

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Observation 09a2e5d2-10f3-4bdc-a167-747134e2e103 · outbound

This paper cites Small coresets via negative dependence: DPPs, linear statistics, and concentration.

Group-invariant Coresets for Data-efficient Active Learning Small coresets via negative dependence: DPPs, linear statistics, and concentration

Reference 16

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Observation af84fbb5-a826-424e-baea-d65213cdc291 · outbound

This paper cites Equivariant and coordinate independent convolutional networks: A gauge field theory of neural networks,.

Group-invariant Coresets for Data-efficient Active Learning Equivariant and coordinate independent convolutional networks: A gauge field theory of neural networks,

Reference 17

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Observation e8897799-5a08-4752-852e-3d1d8e2049ae · outbound

This paper cites Group equivariant convolutional networks,.

Group-invariant Coresets for Data-efficient Active Learning Group equivariant convolutional networks,

Reference 18

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Observation b149e900-e36a-4bee-9891-14538e00c212 · outbound

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Group-invariant Coresets for Data-efficient Active Learning Har- monic networks: Deep translation and rotation equivariance,

Reference 19

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Observation 22920d7d-8240-4b88-a671-527be95d1434 · outbound

This paper cites Generalizing convolu- tional neural networks for equivariance to lie groups on arbitrary continuous data,.

Group-invariant Coresets for Data-efficient Active Learning Generalizing convolu- tional neural networks for equivariance to lie groups on arbitrary continuous data,

Reference 20

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This paper cites Deep sets,.

Group-invariant Coresets for Data-efficient Active Learning Deep sets,

Reference 21

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This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Group-invariant Coresets for Data-efficient Active Learning Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 22

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Group-invariant Coresets for Data-efficient Active Learning A group-theoretic framework for data augmentation,

Reference 23

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Group-invariant Coresets for Data-efficient Active Learning Group invariant machine learning by fundamental domain projections,

Reference 24

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Group-invariant Coresets for Data-efficient Active Learning Unsupervised representation learn- ing by predicting image rotations,

Reference 25

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Group-invariant Coresets for Data-efficient Active Learning A simple framework for contrastive learning of visual representations,

Reference 26

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Group-invariant Coresets for Data-efficient Active Learning Emerging properties in self-supervised vision transformers,

Reference 27

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Group-invariant Coresets for Data-efficient Active Learning Learning invariances in neural networks from training data,

Reference 28

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Group-invariant Coresets for Data-efficient Active Learning Reducing label effort: Self-supervised meets active learning,

Reference 29

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Group-invariant Coresets for Data-efficient Active Learning Bridging diver- sity and uncertainty in active learning with self-supervised pre-training,

Reference 30

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Group-invariant Coresets for Data-efficient Active Learning Integrating deep metric learning with coreset for active learning in 3d segmentation,

Reference 31

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This paper cites Empowering active learning for 3d molecular graphs with geometric graph isomorphism,.

Group-invariant Coresets for Data-efficient Active Learning Empowering active learning for 3d molecular graphs with geometric graph isomorphism,

Reference 32

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Group-invariant Coresets for Data-efficient Active Learning Unresolved cited work

Reference 33

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Group-invariant Coresets for Data-efficient Active Learning Learning symmetrization for equivariance with orbit distance minimization,

Reference 34

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Observation d8ce1319-fce8-4e53-b105-bc3af5135059 · outbound

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Group-invariant Coresets for Data-efficient Active Learning Low-dimensional invariant embeddings for uni- versal geometric learning,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:96718e3045ef2fc29832e29954c9041f0b7d3256ad4975e5706d8926872f1b86

Observation 08129aa7-eb9b-456e-894f-359bff19ba65 · outbound

This paper cites Autonomous driving system: A comprehensive survey,.

Group-invariant Coresets for Data-efficient Active Learning Autonomous driving system: A comprehensive survey,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.067392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:1e703cec88cd09e7cc67ecd696137265a9feb6d25b5aa91acd3f4b60269c9cb3

Observation db1feb8d-9868-4e0e-9f4a-e677b2ad5d86 · outbound

This paper cites Improving generalization with active learning,.

Group-invariant Coresets for Data-efficient Active Learning Improving generalization with active learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.074064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:786f0932dfa5c485be7c731668e090606ada7d5806a838876dee117c282912a6

Observation 0af1a6cc-75e5-422a-9547-3fee9636be2c · outbound

This paper cites A survey on active learning strategy,.

Group-invariant Coresets for Data-efficient Active Learning A survey on active learning strategy,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.062295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:f54eeb26f7700b64d7428fc74d6a8105e847dfcb612970a136e0845559d92016

Observation c25da8f2-820e-42a9-a6e0-7453d9d3b7b4 · outbound

This paper cites A survey of deep active learning.

Group-invariant Coresets for Data-efficient Active Learning A survey of deep active learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.058814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:4c936aa3ac5295acca9ad7df26a618066a04b00324b519834a4a1bfd72de4876

Observation e393f78b-4887-4383-a8e3-79ed091b86ab · outbound

This paper cites Active learning query strategies for classification, regression, and clustering: A survey,.

Group-invariant Coresets for Data-efficient Active Learning Active learning query strategies for classification, regression, and clustering: A survey,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.056800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:ede7b638ca6944720c57ef9743e53a86a05e500a440387d2a86864a92a0c9198

Observation bd986706-ca39-4092-ab75-d0936757de57 · outbound

This paper cites A survey on active learning: State-of-the-art, practical challenges and research directions,.

Group-invariant Coresets for Data-efficient Active Learning A survey on active learning: State-of-the-art, practical challenges and research directions,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.060574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:dda1c2345655059f0901c8f381ea4024034922287f791baaf705427a5e174a87

Observation fa2ff263-f18c-4fee-a490-b662d93ee1a0 · outbound

This paper cites Core-sets: Updated survey,.

Group-invariant Coresets for Data-efficient Active Learning Core-sets: Updated survey,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.076074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:a9f70a608204796e8afd609278ff5ed0ac3e72b08d7e8a107f3dd6c436571f0b

Observation fc94041e-2dd4-4482-8bbd-ed1be9742acd · outbound

This paper cites Clustering to minimize the maximum intercluster distance,.

Group-invariant Coresets for Data-efficient Active Learning Clustering to minimize the maximum intercluster distance,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.083730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:14d4a0bced961843680e63d65c6ecd23a94b4c02aff04be9c3068cc12dfe9e9e

Observation 83f67ad5-a5e0-4c61-86d5-946bfeb70409 · outbound

This paper cites Probabilistic symmetries and invariant neural networks,.

Group-invariant Coresets for Data-efficient Active Learning Probabilistic symmetries and invariant neural networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.045678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:3904722949792dad03cee6792f14e8cdbfd575f46edb7567cef5c761dcb6fd6b

Observation a35539ca-4127-41c5-86f4-31be981e1876 · outbound

This paper cites A survey on image data augmentation for deep learning,.

Group-invariant Coresets for Data-efficient Active Learning A survey on image data augmentation for deep learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.047514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:5c825aa76aa2a7ba98e065ac635ff0208e37c356cecafbcfef6847316227c88c

Observation 13f98daa-9928-4008-94b1-cd061fe742b2 · outbound

This paper cites Equivariant repre- sentation learning via class-pose decomposition,.

Group-invariant Coresets for Data-efficient Active Learning Equivariant repre- sentation learning via class-pose decomposition,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.041518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:8b2a2814b0056a6a0c47c51c654a8db8737edd3bfea348a7e11211a60817c463

Observation cf58e3f5-7af8-4295-9714-a0ded3b9bc96 · outbound

This paper cites Symmetry- adapted representation learning,.

Group-invariant Coresets for Data-efficient Active Learning Symmetry- adapted representation learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.039332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:ad7a2015184aa7754aaf4714331829f22d94dbc9275611846e40947e6be000b4

Observation cbff586a-d6cb-4938-8cf7-25d1ebeb6e65 · outbound

This paper cites Structuring represen- tations using group invariants,.

Group-invariant Coresets for Data-efficient Active Learning Structuring represen- tations using group invariants,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.043747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:093c340aed002f8b6d2d1013694148d0109501247f9cdce4fe6dc2d653920e24

Observation 5eb0cf45-b6e7-4fd5-a14b-7f8c62603fc5 · outbound

This paper cites Estimation under group actions: recovering orbits from invariants,.

Group-invariant Coresets for Data-efficient Active Learning Estimation under group actions: recovering orbits from invariants,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.049161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:2189ee8e7ad2c4d007a521a130cafe40a5a577649bea176b5139f1a8e4f8681b

Observation 2a28966c-308b-427a-9bf8-cb07ade1bd8b · outbound

This paper cites Diffusion Maps for Group-Invariant Manifolds.

Group-invariant Coresets for Data-efficient Active Learning Diffusion Maps for Group-Invariant Manifolds

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:06:34.565425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:a1e317c795eba7bf15ac3dec0e7aeb7529371fbfc07f7a7068ec1f41610dbaef

Observation a85da81b-81d5-4549-ab1e-a66208115c64 · outbound

This paper cites Burago, Y.

Group-invariant Coresets for Data-efficient Active Learning Burago, Y

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.050942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:2361efa1c4ba59e1ba7835463de5c625dae6c6cbb6fc09f7f44e4a2175a92a1e

Observation ddc18c77-e6aa-4522-ac82-b7e00054aa72 · outbound

This paper cites Unsupervised learning of group invariant and equivariant representations,.

Group-invariant Coresets for Data-efficient Active Learning Unsupervised learning of group invariant and equivariant representations,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.037408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:14bf937570a719b7f72a29ccb5156d020ddda4ce92f66af93f8a477086e1aa15

Observation 4ee8c6e3-4075-412e-bf7d-92734e31a30b · outbound

This paper cites Learning (approxi- mately) equivariant networks via constrained optimization,.

Group-invariant Coresets for Data-efficient Active Learning Learning (approxi- mately) equivariant networks via constrained optimization,

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:06:34.557561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:f8914f6e6a53428e5b0d7f741dcb86ce9bf7a69a9317513c272f70ee67c137b3

Observation 0a9dfe07-f7d4-4864-9805-aae585f52272 · outbound

This paper cites A Bernstein-type inequality for functions of bounded interaction.

Group-invariant Coresets for Data-efficient Active Learning A Bernstein-type inequality for functions of bounded interaction

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-02T04:06:34.570498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:d70f93f13cb05e98d50314169e727fca2adb9443ff0cc9afe26ee87822a35d78

Observation dd190f3f-a736-4e4b-86be-0b220c178f94 · outbound

This paper cites A gentle introduction to concentration inequalities,.

Group-invariant Coresets for Data-efficient Active Learning A gentle introduction to concentration inequalities,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.052862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:bce220697934787f607cab09fd1e2f205c216d6cceedb07bef567dceefbbcd50

Observation 1dd3714d-42b3-441b-8bb6-3be4e7bf4a4e · outbound

This paper cites Learning multiple layers of features from tiny images.

Group-invariant Coresets for Data-efficient Active Learning Learning multiple layers of features from tiny images

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.054840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:66e7e86d3d2ea0e640ed63bdc58483cf9666639a73db203a3b70bc5aff986cc2

Observation d35b8425-bbb9-4962-a6d4-d151a2b93770 · outbound

This paper cites An analysis of single-layer networks in unsu- pervised feature learning,.

Group-invariant Coresets for Data-efficient Active Learning An analysis of single-layer networks in unsu- pervised feature learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.035453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:5f2f9ca894d30a15a6d3eaca0913e15d79d6b87816ad232de4e037fbe4ad5697

Observation bee9ad75-e974-4676-b4ed-d3e9c651ef7f · outbound

This paper cites Gradient-based learning applied to document recognition,.

Group-invariant Coresets for Data-efficient Active Learning Gradient-based learning applied to document recognition,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.031466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:bb9754d38bd1d838d14699375e86e2ab686235adcb78d3c203643be7e21cb257

Observation 8afd7c69-d27c-4617-b2f6-e633fbfd0df5 · outbound

This paper cites Deep batch active learning by diverse, uncertain gradient lower bounds,.

Group-invariant Coresets for Data-efficient Active Learning Deep batch active learning by diverse, uncertain gradient lower bounds,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T08:22:12.029700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T04:06:28.919264Z digest=sha256:b9916d87f09b95fc10b2f23adf57574fc04d44a1d02d767c69069bac42f16c53

Pith citing papers

No inbound Pith citation observations are available.