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Paper Citation Record · LEDGER

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

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.

pith.paper-citation-record.v1
2603.24480 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:12:04.699218Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:58:54.132523Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact9
  • verified fuzzy38
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1df4ca4c-7c0d-4057-8af1-192cdcdd25db · outbound

This paper cites Ac- tive learning for imbalanced datasets.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Ac- tive learning for imbalanced datasets

Reference 1

Resolution
verified fuzzy
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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.

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Observation 10c6da42-615b-4f2e-9866-038d945a7115 · outbound

This paper cites Mi- nority class oriented active learning for imbalanced datasets.

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

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verified fuzzy
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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.

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Observation 3f87eddd-ba0b-47a2-83c0-807bf6c1a7d5 · outbound

This paper cites Optimizing Active Learning for Low Annotation Budgets.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Optimizing Active Learning for Low Annotation Budgets

Reference 3

Resolution
verified exact
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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.

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Observation 6f971a09-136f-4eae-addb-6168a1c8f221 · outbound

This paper cites Class imbalance and active learning.Imbalanced Learning: Foundations, Algorithms, and Applications, pages 101–149.

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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:63bcf0800fcf8511e924c6270ec973a3cd8770ff1161dbc5d129da32c115e62d

Observation 3bc54502-65cc-4cee-a121-3f10c9142786 · outbound

This paper cites Neural codes for image retrieval.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Neural codes for image retrieval

Reference 5

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:6bd518ff484b01384d0c7a9fa6f99412ed1b188cb430386501cb10253c5f4c06

Observation bff0b6ab-d9b7-4fe4-ba01-b2123bf72024 · outbound

This paper cites Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval.

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

Resolution
verified exact
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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.

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Observation 9468f2bf-10cd-4159-85e7-c6a4717ab9bb · outbound

This paper cites Information-theoretic active learning for content-based image retrieval.

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

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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:15bc0e00faa1f45894451940dd5362a1caf2b981ca24107ed5ecc3aead03a132

Observation 042c3839-bce8-430c-8ee7-9f43f5519b2c · outbound

This paper cites Towards open set deep networks.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Towards open set deep networks

Reference 8

Resolution
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:a467cb112b6d74a2facff57403addc9de3006f2eb34bd283893bc4aa5b1d96cb

Observation 8f47b3b5-c196-4efb-a147-49e11457c648 · outbound

This paper cites Class-balanced active learn- ing for image classification.

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

Resolution
verified fuzzy
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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.

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Observation cd1a4bff-5964-4588-8ae1-5d348af8fafb · outbound

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

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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:13d814dfac51f9c339a5392cd0804db1192e43d9943a235ebc9bf476d5d87528

Observation f2a1b560-c92e-4696-8723-418610ab3959 · outbound

This paper cites Learning imbalanced datasets with label- distribution-aware margin loss.Advances in neural informa- tion processing systems, 32.

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

Resolution
verified fuzzy
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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.

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Observation d37d3bc3-6aed-43ab-9b97-cea8ef4cf2d8 · outbound

This paper cites The bayesian image re- trieval system, pichunter: theory, implementation, and psy- chophysical experiments.IEEE transactions on image pro- cessing, 9(1):20–37.

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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:5299cb4971996f1d73bbe47c923f382f37ec5c33851589bf9fea01944bc97503

Observation 83e86eea-ce67-4ede-b400-99efd5388784 · outbound

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

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

Resolution
verified exact
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:2921f2fa345aa3b40630f1fe8b46df92f4612c3a0458f7d8fd90a5c97cef1bb0

Observation 8b629869-c095-45af-ae06-e17695b91f8b · outbound

This paper cites Class balancing for efficient active learning in imbalanced datasets.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:13:22.176112Z

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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:b5dc98fbe3719e3301acdae43b0fef1fc35f76f90abc2512f1cc8c9f8bf1c5ca

Observation 7150c2f6-b6f9-49a7-ad8a-f5804588ad4b · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

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

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:13:21.664176Z

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.

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Observation 6c9fd154-0184-4849-be6c-ac9fb2ebc0c4 · outbound

This paper cites Pl@ ntnet- 300k: a plant image dataset with high label ambiguity and a long-tailed distribution.

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

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:be4de85879e90bbfec1e9533d760294791651c6587bd0997f93cb9fc8a408c5f

Observation 2faff879-8ff9-473b-b090-2bad876294eb · outbound

This paper cites Discriminative Active Learning.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Discriminative Active Learning

Reference 17

Resolution
verified exact
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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.

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Observation 66efb426-6a80-4333-b56d-818579cc223c · outbound

This paper cites Active learning methods for interactive image retrieval.IEEE Transactions on Image Processing, 17(7):1200–1211.

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

Resolution
verified fuzzy
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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.

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Observation a5e0e0a1-9f34-4e36-8880-08a6e27b0977 · outbound

This paper cites Content-based image retrieval: A review of recent trends.Cogent Engineering, 8(1):1927469.

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

Resolution
verified fuzzy
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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.

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Observation 9cdacf0a-5c52-4194-ae61-fe71b685f9c3 · outbound

This paper cites A look inside the pl@ ntnet experience: The good, the bias and the hope.Multimedia Systems, 22(6):751–766.

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

Resolution
verified fuzzy
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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.

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Observation 56a657fa-8d6e-4248-a2d7-db5534f90311 · outbound

This paper cites Towards open world object detec- tion.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Towards open world object detec- tion

Reference 21

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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:8d0f1e3f2e04e646403953e650928d3947d27b4b09ca1fa0bef049bbf897ea39

Observation 6af69d29-adec-4d8f-aa6a-07daf21c1a2c · outbound

This paper cites Similar: Submodular information measures based active learning in realistic scenarios.Advances in Neu- ral Information Processing Systems, 34:18685–18697.

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

Resolution
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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.

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Observation 456e5e17-949a-4d1c-acf8-4f2a48a0cf63 · outbound

This paper cites Lewis and William A.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Lewis and William A

Reference 23

Resolution
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:a3ec160ffd36ed71049c667eae85fdb4057a8db57b0a90c4390147b6bb54d3b5

Observation dc052e1d-2bf3-4529-9e7c-7dddaa9e9fea · outbound

This paper cites A survey on deep active learning: Recent advances and new frontiers.IEEE Trans- actions on Neural Networks and Learning Systems, 36(4): 5879–5899.

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

Resolution
verified fuzzy
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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.

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Observation 0fe2cb4f-f228-4daf-89a2-128e26f544b2 · outbound

This paper cites Large-scale long-tailed recog- nition in an open world.

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

Resolution
verified fuzzy
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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.

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Observation 0933a710-fea8-4f36-b990-6b5d791ce0e0 · outbound

This paper cites Fun- damentals of content-based image retrieval.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Fun- damentals of content-based image retrieval

Reference 26

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:37b1a18b7d680e99d82e7a4c5b5a4e9c010025a82107bcea0868892fc9fd17a9

Observation d259cd46-0189-4304-928d-54c2987d1ad4 · outbound

This paper cites Simon and Schuster.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Simon and Schuster

Reference 27

Resolution
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raw_fallback, observed 2026-05-15T00:13:22.145020Z

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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:43ed46ee55a45943969e7fea4505275802e6a929e1dbe854eb3a7b6620ef6c73

Observation e6b88202-0c5a-4999-927e-085642539758 · outbound

This paper cites Image retrieval with relevance feedback using svm active learning.International Journal of Electrical and Computer Engineering, 6(6):3238.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:13:22.179704Z

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.

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Observation 29c8c25c-c5fa-4293-a248-6de00f682908 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories DINOv2: Learning Robust Visual Features without Supervision

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-15T00:13:21.671817Z

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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:56a0a5ef8a15b4212360f75325c6f269667dd46fe1a0c47a856e26e1f0df2686

Observation 57207d78-c5c6-4d20-b418-c4c7e3e9b303 · outbound

This paper cites Object-part attention model for fine-grained image classification.IEEE Transactions on Image Processing, 27(3):1487–1500.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:13:22.148731Z

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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:4afbec2ef602771f34fb4889c839b67e19e8c33c848df0b17e0174d7852e1cc1

Observation dabd891f-7f79-49ae-a3e2-3fe7a3a328de · outbound

This paper cites Fine- grained visual categorization via multi-stage metric learning.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:13:22.172455Z

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.

source=pdf_text observed=2026-05-15T00:12:04.699218Z digest=sha256:5ff2cd1e93bfcaf9df3329404ed6e13227d85923abdab8b98e6ec8925e1cb18a

Observation 97fe7f12-7cca-4447-894e-ce8b2a5f7195 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:13:22.152112Z

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.

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Observation 8f68221f-70a1-4d4a-ae35-1101b60ded6f · outbound

This paper cites Relevance feedback in informa- tion retrieval.The SMART retrieval system: experiments in automatic document processing.

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

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation dcf1d35a-5902-4b45-8d99-046e63d95c62 · outbound

This paper cites Active hidden markov models for information extraction.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Active hidden markov models for information extraction

Reference 34

Resolution
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Observation 70241b88-560e-408e-9a46-9d9fc1c7c223 · outbound

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

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

Resolution
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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.

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Observation 90e4b8ac-5a07-4a17-a94b-46c8bf8eca4c · outbound

This paper cites Active learning literature survey.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Active learning literature survey

Reference 36

Resolution
verified fuzzy
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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.

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Observation 97b4d881-185b-4f2e-8dc5-07e0a824f820 · outbound

This paper cites A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportuni- ties.ACM Computing Surveys, 55(13s):1–40.

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

Resolution
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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.

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Observation 1522d671-bb8e-4963-9aaa-9693c211c034 · outbound

This paper cites Content-based image retrieval: A survey on local and global features selec- tion, extraction, representation and evaluation parameters.

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

Resolution
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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.

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Observation 15d06866-77b6-452d-ac37-3b117a117260 · outbound

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

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

Resolution
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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.

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Observation 5cd7d5d9-e50d-4988-9422-759a4dba2124 · outbound

This paper cites Novel Class Discovery: an Introduction and Key Concepts.

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

Resolution
verified exact
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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.

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Observation 7a2e5093-cd30-484d-ad42-84c5c65d60ed · outbound

This paper cites Relevance feedback in deep convolutional neural networks for content based image retrieval.

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

Resolution
verified fuzzy
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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.

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Observation f1e45431-c98a-478e-8f05-c28223c84bb3 · outbound

This paper cites Deep Learning for Fine-Grained Image Analysis: A Survey.

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

Resolution
verified exact
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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.

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Observation eed5ca4f-9d68-4d18-82ed-83eb917654c4 · outbound

This paper cites Incorporating di- versity and density in active learning for relevance feedback.

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

Resolution
verified fuzzy
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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.

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Observation 319b0f59-2ddb-4f84-ab1e-73b2c3582065 · outbound

This paper cites Springer.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Springer

Reference 44

Resolution
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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.

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Observation ef446b45-35db-49d9-afb8-5f413e7f0b68 · outbound

This paper cites 5 shows the performance of representative-based AL methods for different iterations.

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

Resolution
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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.

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Observation ddb188a9-7750-49eb-b9c3-472c631ac8da · outbound

This paper cites 6 extends the results of the effect of coverage granularity on each method’s performance to earlier iterations.

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

Resolution
verified fuzzy
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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.

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Observation 83f202d8-ada9-4f36-8d2f-5ae4e4320242 · outbound

This paper cites Class coverage scores We report the class coverage scores of the different methods, datasets and feature extractors in Tab.

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

Resolution
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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.

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Observation 2343d867-537f-4570-948e-82fa586dcf35 · outbound

This paper cites Class coverage scores Fig.

Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories Class coverage scores Fig

Reference 48

Resolution
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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.

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Pith citing papers

Observation 1e78e0aa-e49f-44a0-958a-f4375d572301 · inbound

FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery cites this paper.

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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