Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T04:06:28.919264Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T04:06:28.919264Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3e3c9fc8-446e-4f3a-a888-a5c36b01228e · outbound
Group-invariant Coresets for Data-efficient Active Learning Learning from multiple annotators for medical image segmentation,
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Reference 2
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Group-invariant Coresets for Data-efficient Active Learning A comprehensive review: Active learning for hyper- spectral image classifications,
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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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Group-invariant Coresets for Data-efficient Active Learning Geometric approxi- mation via coresets,
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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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Group-invariant Coresets for Data-efficient Active Learning In defense of core-set: A density-aware core-set selec- tion for active learning,
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Group-invariant Coresets for Data-efficient Active Learning Fair Wasserstein Coresets
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Observation c74c96e8-60d2-4230-b62b-4e244dda2c75 · outbound
Group-invariant Coresets for Data-efficient Active Learning Geometric Median Matching for Robust k-Subset Selection from Noisy Data
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Group-invariant Coresets for Data-efficient Active Learning Small coresets via negative dependence: DPPs, linear statistics, and concentration
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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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Group-invariant Coresets for Data-efficient Active Learning Group equivariant convolutional networks,
Reference 18
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Group-invariant Coresets for Data-efficient Active Learning Har- monic networks: Deep translation and rotation equivariance,
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Group-invariant Coresets for Data-efficient Active Learning Generalizing convolu- tional neural networks for equivariance to lie groups on arbitrary continuous data,
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Group-invariant Coresets for Data-efficient Active Learning Deep sets,
Reference 21
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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,
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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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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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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 Learning symmetrization for equivariance with orbit distance minimization,
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Group-invariant Coresets for Data-efficient Active Learning Autonomous driving system: A comprehensive survey,
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Group-invariant Coresets for Data-efficient Active Learning Estimation under group actions: recovering orbits from invariants,
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Reference 59
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No inbound Pith citation observations are available.