Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T00:12:04.699218Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2603.24480.
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 2026-05-15T00:12:04.699218Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T02:58:54.132523Z
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1df4ca4c-7c0d-4057-8af1-192cdcdd25db · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Ac- tive learning for imbalanced datasets
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 10c6da42-615b-4f2e-9866-038d945a7115 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Mi- nority class oriented active learning for imbalanced datasets
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3f87eddd-ba0b-47a2-83c0-807bf6c1a7d5 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Optimizing Active Learning for Low Annotation Budgets
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f971a09-136f-4eae-addb-6168a1c8f221 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Class imbalance and active learning.Imbalanced Learning: Foundations, Algorithms, and Applications, pages 101–149
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3bc54502-65cc-4cee-a121-3f10c9142786 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Neural codes for image retrieval
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bff0b6ab-d9b7-4fe4-ba01-b2123bf72024 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9468f2bf-10cd-4159-85e7-c6a4717ab9bb · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Information-theoretic active learning for content-based image retrieval
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 042c3839-bce8-430c-8ee7-9f43f5519b2c · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Towards open set deep networks
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8f47b3b5-c196-4efb-a147-49e11457c648 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Class-balanced active learn- ing for image classification
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd1a4bff-5964-4588-8ae1-5d348af8fafb · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Incorporating diversity in active learning with support vector machines
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f2a1b560-c92e-4696-8723-418610ab3959 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Learning imbalanced datasets with label- distribution-aware margin loss.Advances in neural informa- tion processing systems, 32
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d37d3bc3-6aed-43ab-9b97-cea8ef4cf2d8 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories The bayesian image re- trieval system, pichunter: theory, implementation, and psy- chophysical experiments.IEEE transactions on image pro- cessing, 9(1):20–37
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83e86eea-ce67-4ede-b400-99efd5388784 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b629869-c095-45af-ae06-e17695b91f8b · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Class balancing for efficient active learning in imbalanced datasets
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7150c2f6-b6f9-49a7-ad8a-f5804588ad4b · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6c9fd154-0184-4849-be6c-ac9fb2ebc0c4 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Pl@ ntnet- 300k: a plant image dataset with high label ambiguity and a long-tailed distribution
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2faff879-8ff9-473b-b090-2bad876294eb · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Discriminative Active Learning
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 66efb426-6a80-4333-b56d-818579cc223c · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Active learning methods for interactive image retrieval.IEEE Transactions on Image Processing, 17(7):1200–1211
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a5e0e0a1-9f34-4e36-8880-08a6e27b0977 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Content-based image retrieval: A review of recent trends.Cogent Engineering, 8(1):1927469
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9cdacf0a-5c52-4194-ae61-fe71b685f9c3 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories A look inside the pl@ ntnet experience: The good, the bias and the hope.Multimedia Systems, 22(6):751–766
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56a657fa-8d6e-4248-a2d7-db5534f90311 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Towards open world object detec- tion
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6af69d29-adec-4d8f-aa6a-07daf21c1a2c · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Similar: Submodular information measures based active learning in realistic scenarios.Advances in Neu- ral Information Processing Systems, 34:18685–18697
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 456e5e17-949a-4d1c-acf8-4f2a48a0cf63 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Lewis and William A
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dc052e1d-2bf3-4529-9e7c-7dddaa9e9fea · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories A survey on deep active learning: Recent advances and new frontiers.IEEE Trans- actions on Neural Networks and Learning Systems, 36(4): 5879–5899
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0fe2cb4f-f228-4daf-89a2-128e26f544b2 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Large-scale long-tailed recog- nition in an open world
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0933a710-fea8-4f36-b990-6b5d791ce0e0 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Fun- damentals of content-based image retrieval
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d259cd46-0189-4304-928d-54c2987d1ad4 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Simon and Schuster
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e6b88202-0c5a-4999-927e-085642539758 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Image retrieval with relevance feedback using svm active learning.International Journal of Electrical and Computer Engineering, 6(6):3238
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29c8c25c-c5fa-4293-a248-6de00f682908 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories DINOv2: Learning Robust Visual Features without Supervision
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57207d78-c5c6-4d20-b418-c4c7e3e9b303 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Object-part attention model for fine-grained image classification.IEEE Transactions on Image Processing, 27(3):1487–1500
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dabd891f-7f79-49ae-a3e2-3fe7a3a328de · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Fine- grained visual categorization via multi-stage metric learning
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97fe7f12-7cca-4447-894e-ce8b2a5f7195 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Learning transferable visual models from natural language supervi- sion
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8f68221f-70a1-4d4a-ae35-1101b60ded6f · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Relevance feedback in informa- tion retrieval.The SMART retrieval system: experiments in automatic document processing
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dcf1d35a-5902-4b45-8d99-046e63d95c62 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Active hidden markov models for information extraction
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70241b88-560e-408e-9a46-9d9fc1c7c223 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Active Learning for Convolutional Neural Networks: A Core-Set Approach
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90e4b8ac-5a07-4a17-a94b-46c8bf8eca4c · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Active learning literature survey
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97b4d881-185b-4f2e-8dc5-07e0a824f820 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportuni- ties.ACM Computing Surveys, 55(13s):1–40
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1522d671-bb8e-4963-9aaa-9693c211c034 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Content-based image retrieval: A survey on local and global features selec- tion, extraction, representation and evaluation parameters
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 15d06866-77b6-452d-ac37-3b117a117260 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Support vector machine active learning for image retrieval
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5cd7d5d9-e50d-4988-9422-759a4dba2124 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Novel Class Discovery: an Introduction and Key Concepts
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a2e5093-cd30-484d-ad42-84c5c65d60ed · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Relevance feedback in deep convolutional neural networks for content based image retrieval
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f1e45431-c98a-478e-8f05-c28223c84bb3 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Deep Learning for Fine-Grained Image Analysis: A Survey
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eed5ca4f-9d68-4d18-82ed-83eb917654c4 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Incorporating di- versity and density in active learning for relevance feedback
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 319b0f59-2ddb-4f84-ab1e-73b2c3582065 · outbound
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef446b45-35db-49d9-afb8-5f413e7f0b68 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories 5 shows the performance of representative-based AL methods for different iterations
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ddb188a9-7750-49eb-b9c3-472c631ac8da · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories 6 extends the results of the effect of coverage granularity on each method’s performance to earlier iterations
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83f202d8-ada9-4f36-8d2f-5ae4e4320242 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Class coverage scores We report the class coverage scores of the different methods, datasets and feature extractors in Tab
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2343d867-537f-4570-948e-82fa586dcf35 · outbound
Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Class coverage scores Fig
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1e78e0aa-e49f-44a0-958a-f4375d572301 · inbound
FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.