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Paper Citation Record · LEDGER

CUAL: Continual Uncertainty-aware Active Learner

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.09701.

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

pith.paper-citation-record.v1
2412.09701 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:54:53.826375Z

measured 46 of 46 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

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

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Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy17
  • unresolved29
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Outbound references

Observation 5df0fb2a-bb7b-477e-98cd-e36efbce7e43 · outbound

This paper cites Lifelong Learning Without a Task Oracle.

CUAL: Continual Uncertainty-aware Active Learner Lifelong Learning Without a Task Oracle

Reference 1

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Observation 7666d4ff-7e70-42c5-ac34-3280ff7d892e · outbound

This paper cites Continual lifelong learning with neural networks: A review.

CUAL: Continual Uncertainty-aware Active Learner Continual lifelong learning with neural networks: A review

Reference 2

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Observation 8bd59bb4-a29e-4125-9854-d22685f1139e · outbound

This paper cites Rethinking experience replay: a bag of tricks for continual learning.

CUAL: Continual Uncertainty-aware Active Learner Rethinking experience replay: a bag of tricks for continual learning

Reference 3

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Observation 0c76695e-4251-4293-a799-3e8e04354c20 · outbound

This paper cites A soft nearest-neighbor framework for continual semi-supervised learn- ing.

CUAL: Continual Uncertainty-aware Active Learner A soft nearest-neighbor framework for continual semi-supervised learn- ing

Reference 4

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Observation 0796d3aa-14c0-47f7-9300-12a2e38f0f4e · outbound

This paper cites Continual semi-supervised learning through contrastive interpolation consistency.

CUAL: Continual Uncertainty-aware Active Learner Continual semi-supervised learning through contrastive interpolation consistency

Reference 5

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Observation 79b968c2-6fcd-47e3-9f14-0263ce48c427 · outbound

This paper cites Beyond Supervised Continual Learning: a Review.

CUAL: Continual Uncertainty-aware Active Learner Beyond Supervised Continual Learning: a Review

Reference 6

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Observation 2f800b48-5edd-4ea8-b0cb-7eea9f83802e · outbound

This paper cites A survey of deep active learning.

CUAL: Continual Uncertainty-aware Active Learner A survey of deep active learning

Reference 7

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Observation 87f8a80b-f8c0-4670-8d0f-d94d31d836dd · outbound

This paper cites Learning loss for active learning.

CUAL: Continual Uncertainty-aware Active Learner Learning loss for active learning

Reference 8

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Observation eab71085-1309-4a8e-9404-055c2be7bfc6 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

CUAL: Continual Uncertainty-aware Active Learner Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 9

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Observation 1c517a35-cc29-4651-b067-bba463856ec0 · outbound

This paper cites Deep bayesian active learning with image data.

CUAL: Continual Uncertainty-aware Active Learner Deep bayesian active learning with image data

Reference 10

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Observation ded28e11-bf7b-4674-84b3-6754a43f2c75 · outbound

This paper cites How to measure uncertainty in uncertainty sampling for active learning.

CUAL: Continual Uncertainty-aware Active Learner How to measure uncertainty in uncertainty sampling for active learning

Reference 11

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Observation 31fdd680-5ef8-42a7-9df5-d4e3f3dc7fc5 · outbound

This paper cites Few-shot continual active learning by a robot.

CUAL: Continual Uncertainty-aware Active Learner Few-shot continual active learning by a robot

Reference 12

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Observation dfe19c6d-5b9e-4252-84a0-6bd7f1436025 · outbound

This paper cites Active Continual Learning: On Balancing Knowledge Retention and Learnability.

CUAL: Continual Uncertainty-aware Active Learner Active Continual Learning: On Balancing Knowledge Retention and Learnability

Reference 13

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Observation ec92afcd-e12a-4d4b-b7f3-cbce06601c16 · outbound

This paper cites Online active continual learning for robotic lifelong object recognition.

CUAL: Continual Uncertainty-aware Active Learner Online active continual learning for robotic lifelong object recognition

Reference 14

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Observation 488f5246-7ac7-4dfc-a5d9-2378bee5f186 · outbound

This paper cites Most-surely vs. least-surely uncertain.

CUAL: Continual Uncertainty-aware Active Learner Most-surely vs. least-surely uncertain

Reference 15

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Observation f27f509e-a666-424f-b8b2-149c77ec92cf · outbound

This paper cites Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features.

CUAL: Continual Uncertainty-aware Active Learner Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features

Reference 16

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Observation c8b8560b-55ec-471a-b215-14cda48f0ce9 · outbound

This paper cites incdfm: Incremental deep feature modeling for continual novelty detec- tion.

CUAL: Continual Uncertainty-aware Active Learner incdfm: Incremental deep feature modeling for continual novelty detec- tion

Reference 17

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Observation 069e02bb-0e7a-4d79-ae4f-d007ea4d2b5e · outbound

This paper cites Experience replay for continual learning.

CUAL: Continual Uncertainty-aware Active Learner Experience replay for continual learning

Reference 18

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Observation dbcd722e-3ca5-406f-b3a9-a58f0ee39e16 · outbound

This paper cites Deep residual learning for image recognition.

CUAL: Continual Uncertainty-aware Active Learner Deep residual learning for image recognition

Reference 19

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Observation 0940342f-db7b-473c-ba5a-4fe363d456e5 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster as- signments.

CUAL: Continual Uncertainty-aware Active Learner Unsupervised learning of visual features by contrasting cluster as- signments

Reference 20

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Observation 2ed9385a-8e7f-4a42-8460-56a8ab20e670 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CUAL: Continual Uncertainty-aware Active Learner An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 21

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Observation b9fc55f6-4e1e-4c4a-9154-7932a3ecf371 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

CUAL: Continual Uncertainty-aware Active Learner Emerging properties in self-supervised vision transformers

Reference 22

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Observation 3d179d18-9406-4f11-935b-6096bdf9cee1 · outbound

This paper cites ImageNet-21K Pretraining for the Masses.

CUAL: Continual Uncertainty-aware Active Learner ImageNet-21K Pretraining for the Masses

Reference 23

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Observation f964176e-2385-4dd5-9e30-571f5a12bc12 · outbound

This paper cites Places: A 10 million Image Database for Scene Recognition.

CUAL: Continual Uncertainty-aware Active Learner Places: A 10 million Image Database for Scene Recognition

Reference 24

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Observation a5b087d9-446f-44a6-9610-c81831f63c1f · outbound

This paper cites EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification.

CUAL: Continual Uncertainty-aware Active Learner EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Reference 25

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Observation c8dc0fdd-b367-4671-afbb-7f4ce0bad0b3 · outbound

This paper cites The iNaturalist Species Classification and Detection Dataset.

CUAL: Continual Uncertainty-aware Active Learner The iNaturalist Species Classification and Detection Dataset

Reference 26

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Observation c5799118-f967-4397-84f3-225a74d33893 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images.

CUAL: Continual Uncertainty-aware Active Learner Learning Multiple Layers of Features from Tiny Images

Reference 27

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Observation f92a8093-6e15-4c9a-b3df-ebfadf20a88b · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.

CUAL: Continual Uncertainty-aware Active Learner Mixmatch: A holistic approach to semi-supervised learning

Reference 28

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Observation bc8f7b8e-68cd-43b1-bdba-198426a18b35 · outbound

This paper cites Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks.

CUAL: Continual Uncertainty-aware Active Learner Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

Reference 29

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Observation 2835627b-8f81-479e-8d50-b3734cad3d0f · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data.

CUAL: Continual Uncertainty-aware Active Learner Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data

Reference 30

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Observation f00c5ea0-abe0-4ae7-abc9-d871ca6c1582 · outbound

This paper cites Closed-Loop Memory GAN for Continual Learning.

CUAL: Continual Uncertainty-aware Active Learner Closed-Loop Memory GAN for Continual Learning

Reference 31

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Observation 4c34123a-a116-4308-b97b-74b5bd623e4e · outbound

This paper cites Head2toe: Utilizing intermediate representations for better transfer learning.

CUAL: Continual Uncertainty-aware Active Learner Head2toe: Utilizing intermediate representations for better transfer learning

Reference 32

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Observation 9e39250f-890e-461b-9d32-a1625f0b0678 · outbound

This paper cites The dynamics of perceptual learning: an incremental reweighting model.

CUAL: Continual Uncertainty-aware Active Learner The dynamics of perceptual learning: an incremental reweighting model

Reference 33

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Observation 5fe7d56e-3f13-4699-81cc-45f994d6797f · outbound

This paper cites A Baseline for Few-Shot Image Classification.

CUAL: Continual Uncertainty-aware Active Learner A Baseline for Few-Shot Image Classification

Reference 34

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Observation 9516ea2e-ab76-4e04-b602-28a24aa5d134 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CUAL: Continual Uncertainty-aware Active Learner Adam: A Method for Stochastic Optimization

Reference 35

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Observation 2681733e-8f54-4f32-bb99-84687acc79cb · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

CUAL: Continual Uncertainty-aware Active Learner ImageNet Large Scale Visual Recognition Challenge

Reference 36

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Observation c8f55515-644b-41d9-87ac-126844cd45d1 · outbound

This paper cites Mos: Towards scaling out-of-distribution detection for large semantic space.

CUAL: Continual Uncertainty-aware Active Learner Mos: Towards scaling out-of-distribution detection for large semantic space

Reference 37

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Observation 4efe38c8-dc8f-4eea-8f6e-6969a72f6165 · outbound

This paper cites Delving into out-of-distribution detection with vision-language representa- tions.

CUAL: Continual Uncertainty-aware Active Learner Delving into out-of-distribution detection with vision-language representa- tions

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-11T16:54:54.075914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.793924Z digest=sha256:68834fc60d30eb7a8023e06c4926e3b3e048e8d2c942bd007a07bd20bb0a6cb8

Observation dca0b7e5-a652-4c65-a25b-ca373eeda729 · outbound

This paper cites React: Out-of-distribution detection with rectified activations.

CUAL: Continual Uncertainty-aware Active Learner React: Out-of-distribution detection with rectified activations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:54:54.063821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.797454Z digest=sha256:83229309337f63f2cf2eba05ef14bcc65465934337134515050fa15459383984

Observation 917b5ccd-d6f3-4bb8-88a8-12b7cbfab987 · outbound

This paper cites For ViTs16 we tried several extraction points, e.g.

CUAL: Continual Uncertainty-aware Active Learner For ViTs16 we tried several extraction points, e.g

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:54:54.052103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.801675Z digest=sha256:28a30a7f52022694e15db5bf0a8f9a1c5ef1b9b30b73c0b3a809d992a3e089e9

Observation 6a655eb6-33b8-4ef0-b087-4b4aab834cd4 · outbound

This paper cites We use a random set of 500 samples from each of the 50 classes.

CUAL: Continual Uncertainty-aware Active Learner We use a random set of 500 samples from each of the 50 classes

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:54:54.039501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.805962Z digest=sha256:52524fd965be69424401737387c20ddf3b181d487427443176e08789f8f99b28

Observation 40f37905-f01a-465a-b58e-328bb9bf3537 · outbound

This paper cites environment.

CUAL: Continual Uncertainty-aware Active Learner environment

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:54:54.026359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.810338Z digest=sha256:1a954a40cdf952b3ea917cb29f2c0999a7d46a994dcfd59e3cacb49a76888fb0

Observation 7e7cea04-923e-4fc2-9384-50b059a8e26b · outbound

This paper cites an unresolved cited work.

CUAL: Continual Uncertainty-aware Active Learner Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:54:54.015243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.814327Z digest=sha256:9a2860bf21a5b9f1065662fcf83fe81ed87616f01574df574f280e5188474682

Observation 238f69d3-ac41-44c5-95ed-08fbb747b2ea · outbound

This paper cites This totals 20 labels (super) and 50K images.

CUAL: Continual Uncertainty-aware Active Learner This totals 20 labels (super) and 50K images

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:54:54.003852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.818181Z digest=sha256:dde600885c2ecb70cf18c72611178bce6e450ddd646f5a84cc38f55a06550e94

Observation f4dfb0e5-6e23-4ac3-92f7-a1ed9cf17498 · outbound

This paper cites an unresolved cited work.

CUAL: Continual Uncertainty-aware Active Learner Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:54:53.991742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.822214Z digest=sha256:5407d0de45e6b6ea572bb182a61e310ba85b6e2f3dfba40aa80e7fe73eef416b

Observation 91adcff1-adac-4243-8146-74dd7cfb714c · outbound

This paper cites In both ER and PseudoER, we utilize the cumulative classification entropy as an uncertainty score to actively-label and Pseudo-Label (PseudoER).

CUAL: Continual Uncertainty-aware Active Learner In both ER and PseudoER, we utilize the cumulative classification entropy as an uncertainty score to actively-label and Pseudo-Label (PseudoER)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:54:53.979632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:54:53.826375Z digest=sha256:dc1ed4bf37fced8064cf16fc91f809ba917516b91857cf5d87c255d99775c5b6

Pith citing papers

No inbound Pith citation observations are available.