Paper Citation Record · LEDGER

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval

As of 13 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2412.02310.

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

pith.paper-citation-record.v1
2412.02310 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

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measured 62 of 62 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:21:02.889753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:13:21.651366Z

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1505d966-f6d2-401a-8927-1ffde4e4daec · outbound

This paper cites write newline.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval write newline

Reference 1

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Observation 8caa4038-7fd4-4965-8f9e-1e2329f5ac96 · outbound

This paper cites Contextual diversity for active learning.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Contextual diversity for active learning

Reference 2

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Observation cd2ad4bc-7b9d-4515-b272-18a94eb43d1a · outbound

This paper cites Active learning for imbalanced datasets.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active learning for imbalanced datasets

Reference 3

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Observation 5ecf3037-6e95-40fd-9442-b3486a2bc19c · outbound

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

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Deep batch active learning by diverse, uncertain gradient lower bounds

Reference 4

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Observation f80cc647-7c68-4ce2-9dc8-707dc9201ebe · outbound

This paper cites Semi-supervised few-shot learning with prototypical random walk.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Semi-supervised few-shot learning with prototypical random walk

Reference 5

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Observation 34cbd5bb-176f-4486-812a-95cfe98e3d89 · outbound

This paper cites Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs

Reference 6

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Observation fd2cfa35-91e7-444e-a066-72ca85298a6f · outbound

This paper cites Content-based image retrieval and the semantic gap in the deep learning era.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Content-based image retrieval and the semantic gap in the deep learning era

Reference 7

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Observation 855896d0-a152-4f67-94ba-cf89d02afa7b · outbound

This paper cites o rn Barz, Christoph K \.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval o rn Barz, Christoph K \

Reference 8

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Observation 6f353951-0829-4980-8309-b39bc63d7ba0 · outbound

This paper cites Incorporating diversity in active learning with support vector machines.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Incorporating diversity in active learning with support vector machines

Reference 9

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Observation 2e606f5d-e6fc-4d8a-98ca-a2cb5e5dad7b · outbound

This paper cites Ranked batch-mode active learning.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Ranked batch-mode active learning

Reference 10

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Observation 85315067-b1fd-41be-887d-b53680210a75 · outbound

This paper cites On initial pools for deep active learning.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval On initial pools for deep active learning

Reference 11

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Observation 34a9bbf4-3685-429f-bfad-5f3ddf341e58 · outbound

This paper cites Chapelle.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Chapelle

Reference 12

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Observation 18cf2013-4167-4864-8cc9-f698906b5c2a · outbound

This paper cites Batch Active Learning at Scale.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Batch Active Learning at Scale

Reference 13

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Observation 012a2a5d-1885-4166-bcf6-e05d9c42a203 · outbound

This paper cites Das and D.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Das and D

Reference 14

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Observation 26eaeebd-6340-4bcb-8e56-f799e0938e86 · outbound

This paper cites Active Learning at the ImageNet Scale.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active Learning at the ImageNet Scale

Reference 15

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Observation adf9e0e9-40b5-4cbc-a4b2-bb4a2feac14e · outbound

This paper cites Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

Reference 16

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Observation a425d936-d9f9-429b-b180-bda0dc95bb46 · outbound

This paper cites Submodular Functions and Optimization.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Submodular Functions and Optimization

Reference 17

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Observation d48403c4-44bc-4ed2-970a-4678c300d42e · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 18

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Observation 1159820d-5088-47b1-a475-a7325b1c8382 · outbound

This paper cites Consistency-based semi-supervised active learning: Towards minimizing labeling cost.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Consistency-based semi-supervised active learning: Towards minimizing labeling cost

Reference 19

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Observation 55a8809d-2df5-4dc5-b352-7d63e2543b96 · outbound

This paper cites Meta agent teaming active learning for pose estimation.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Meta agent teaming active learning for pose estimation

Reference 20

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Observation 8c1325d6-4a33-485d-a3f4-abe9efd5c2fd · outbound

This paper cites Active learning methods for interactive image retrieval.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active learning methods for interactive image retrieval

Reference 21

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Observation da104611-9f82-4627-8a6d-4f60e6b01ec3 · outbound

This paper cites Active learning on a budget: Opposite strategies suit high and low budgets.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active learning on a budget: Opposite strategies suit high and low budgets

Reference 22

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Observation ba400989-09d1-4a71-b334-afd98ab2e9e5 · outbound

This paper cites Semi-supervised active learning with temporal output discrepancy.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Semi-supervised active learning with temporal output discrepancy

Reference 23

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Observation 19d4e143-b5e3-4dba-9ee9-b8ba14fb652d · outbound

This paper cites The MIRFLICKR retrieval evaluation.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval The MIRFLICKR retrieval evaluation

Reference 24

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Observation a390bc69-e767-4eed-93e8-f103f58fe2ba · outbound

This paper cites Cold-start active learning for image classification.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Cold-start active learning for image classification

Reference 25

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Observation db7cfb2d-904b-4c3e-8bfd-9a5c9b554815 · outbound

This paper cites Kapoor, K.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Kapoor, K

Reference 26

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Unresolved cited work

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Unresolved cited work

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This paper cites SIMILAR : Submodular information measures based active learning in realistic scenarios.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval SIMILAR : Submodular information measures based active learning in realistic scenarios

Reference 29

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Observation 75b57355-0b62-41a8-83cf-7b95d5427b34 · outbound

This paper cites Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback

Reference 30

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This paper cites Deep reinforcement active learning for human-in-the-loop person re-identification.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Deep reinforcement active learning for human-in-the-loop person re-identification

Reference 31

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Observation cd709fc5-8925-43f8-9c4f-2108c1579b0d · outbound

This paper cites Manjunath, P.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Manjunath, P

Reference 32

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Observation ce0854b3-b404-4fb8-8977-a9e65ef6e942 · outbound

This paper cites Fast Interactive Image Retrieval using large-scale unlabeled data.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Fast Interactive Image Retrieval using large-scale unlabeled data

Reference 33

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This paper cites Nemhauser, L.A.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Nemhauser, L.A

Reference 34

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This paper cites Image Retrieval with relevance feedback using SVM active learning.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Image Retrieval with relevance feedback using SVM active learning

Reference 35

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This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Reference 36

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This paper cites Active learning for open-set annotation.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active learning for open-set annotation

Reference 37

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Observation 60ed9d41-4172-42a6-a560-94e1dfe479eb · outbound

This paper cites Active learning by feature mixing.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active learning by feature mixing

Reference 38

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Observation 48b12b80-d218-468b-9942-cfcff2faa698 · outbound

This paper cites On the utility of active instance selection for few-shot learning.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval On the utility of active instance selection for few-shot learning

Reference 39

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This paper cites Convolutional neural networks for relevance feedback in content based image retrieval.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Convolutional neural networks for relevance feedback in content based image retrieval

Reference 40

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This paper cites A short-term learning framework based on relevance feedback for content-based image retrieval.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval A short-term learning framework based on relevance feedback for content-based image retrieval

Reference 41

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This paper cites Revisiting O xford and P aris: Large-scale image retrieval benchmarking.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Revisiting O xford and P aris: Large-scale image retrieval benchmarking

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:43:46.084784Z

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Observation 48ff8133-47a0-4f17-b4bf-5802a7a38b71 · outbound

This paper cites A novel relevance feedback method for CBIR.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval A novel relevance feedback method for CBIR

Reference 43

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Imagenet-21k pretraining for the masses

Reference 44

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Observation 4a536235-d547-4b2d-8609-f4d55b87d2ac · outbound

This paper cites Instance-based relevance feedback for image retrieval.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Instance-based relevance feedback for image retrieval

Reference 45

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This paper cites Active learning for convolutional neural networks: A Core-Set approach.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active learning for convolutional neural networks: A Core-Set approach

Reference 46

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Observation fa0fdea3-7598-4045-b509-8813de2b1695 · outbound

This paper cites Support vector machine active learning for image retrieval.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Support vector machine active learning for image retrieval

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:43:45.235779Z

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Observation cbbeeb91-f357-4739-ba56-6bf330f00fbe · outbound

This paper cites Support vector machine active learning with applications to text classification.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Support vector machine active learning with applications to text classification

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:43:45.042558Z

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This paper cites k-means++: The advantages of careful seeding.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval k-means++: The advantages of careful seeding

Reference 49

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Observation 60c4a7c2-edfd-4ee3-af6d-d16b4a2be00a · outbound

This paper cites Cost-effective active learning for deep image classification.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Cost-effective active learning for deep image classification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:43:44.754998Z

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Observation 95786c76-2417-4d75-acb8-29eb7202c358 · outbound

This paper cites Boosting active learning via improving test performance.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Boosting active learning via improving test performance

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:43:44.594740Z

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This paper cites Gaussian processes for machine learning, volume 2.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Gaussian processes for machine learning, volume 2

Reference 52

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This paper cites Entropy-based active learning for object detection with progressive diversity constraint.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Entropy-based active learning for object detection with progressive diversity constraint

Reference 53

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Towards General and Efficient Active Learning

Reference 54

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Multi-class active learning by uncertainty sampling with diversity maximization

Reference 55

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Observation da67f684-ddcd-4e51-af4f-b37fb690679f · outbound

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Active learning through a covering lens

Reference 56

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Cold-start Active Learning through Self-supervised Language Modeling

Reference 57

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This paper cites Zhang, S.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Zhang, S

Reference 58

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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Unresolved cited work

Reference 59

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This paper cites Places: A 10 million image database for scene recognition.

Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Places: A 10 million image database for scene recognition

Reference 60

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Pith citing papers

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Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories cites this paper.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval

Reference 6

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Foundation-Assisted Active Learning for Object Detection Annotation cites this paper.

Foundation-Assisted Active Learning for Object Detection Annotation Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval

Reference 2

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