Paper Citation Record · LEDGER

Exploring Spatial Diversity for Region-based Active Learning

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.17367.

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

pith.paper-citation-record.v1
2507.17367 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:56:38.516297Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy28
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b9150a4-7da8-4cc9-b260-c6f51522778c · outbound

This paper cites Settles, Active Learning, ser.

Exploring Spatial Diversity for Region-based Active Learning Settles, Active Learning, ser

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:39.089737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6c69111-a592-4b31-84f1-fab7f4ea84ac · outbound

This paper cites Multi-class active learning by uncertainty sampling with diversity maximization,.

Exploring Spatial Diversity for Region-based Active Learning Multi-class active learning by uncertainty sampling with diversity maximization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:39.073283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39551ad2-6d57-4361-9e95-29103edf1951 · outbound

This paper cites Deep bayesian active learning with image data,.

Exploring Spatial Diversity for Region-based Active Learning Deep bayesian active learning with image data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:39.054965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5419578e-7792-4ed7-8331-b92d25492467 · outbound

This paper cites Active learning for convolutional neural networks: A core-set approach,.

Exploring Spatial Diversity for Region-based Active Learning Active learning for convolutional neural networks: A core-set approach,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:39.038141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84807920-ab45-4b02-bdf7-3ca1ec30b39a · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Exploring Spatial Diversity for Region-based Active Learning The cityscapes dataset for semantic urban scene understanding,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:39.016632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7abdf1f-796d-45d9-abbe-43f9b3847422 · outbound

This paper cites CEREALS - cost-effective region-based active learning for semantic segmentation,.

Exploring Spatial Diversity for Region-based Active Learning CEREALS - cost-effective region-based active learning for semantic segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.997951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbc12ab5-5cd4-4ad4-a99b-f973755ccef5 · outbound

This paper cites Rein- forced Active Learning for Image Segmentation,.

Exploring Spatial Diversity for Region-based Active Learning Rein- forced Active Learning for Image Segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.979820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9c827cef-eb6e-45ef-b005-2ac2c83f1331 · outbound

This paper cites A sequential algorithm for training text classifiers,.

Exploring Spatial Diversity for Region-based Active Learning A sequential algorithm for training text classifiers,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.963131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0d3670e5-23ea-4d3b-ab71-da08d4b414ec · outbound

This paper cites Multi-class active learning for image classification,.

Exploring Spatial Diversity for Region-based Active Learning Multi-class active learning for image classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.946737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab90c828-0bd2-402e-ae50-ae1d94a59d7b · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

Exploring Spatial Diversity for Region-based Active Learning Bayesian Active Learning for Classification and Preference Learning

Reference 10

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Source-reported events for the cited work

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Observation 0b5cecd0-df22-49bc-868e-4b4e20af4cb5 · outbound

This paper cites Active learning using pre- clustering,.

Exploring Spatial Diversity for Region-based Active Learning Active learning using pre- clustering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.930912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d4b96095-f95c-4449-9edb-2ecdee0da533 · outbound

This paper cites Querying discriminative and representative samples for batch mode active learning,.

Exploring Spatial Diversity for Region-based Active Learning Querying discriminative and representative samples for batch mode active learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.914921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9aaa8692-f63d-4553-8dac-ef95436f1c97 · outbound

This paper cites Active learning for semantic segmentation with expected change,.

Exploring Spatial Diversity for Region-based Active Learning Active learning for semantic segmentation with expected change,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.898706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9da633fe-2d08-4702-aeaf-c0b4e6b5efd4 · outbound

This paper cites The power of ensembles for active learning in image classification,.

Exploring Spatial Diversity for Region-based Active Learning The power of ensembles for active learning in image classification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.881053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8d5b496-e6fa-405b-9c5b-51b2357a34be · outbound

This paper cites Learning loss for active learning.

Exploring Spatial Diversity for Region-based Active Learning Learning loss for active learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.860780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 736d3022-e84d-42d1-bdfb-099980c8b156 · outbound

This paper cites Fine-tuning convolutional neural networks for biomedical image analysis: Actively and incrementally,.

Exploring Spatial Diversity for Region-based Active Learning Fine-tuning convolutional neural networks for biomedical image analysis: Actively and incrementally,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.844188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2a451a7-fc74-4ff8-96b3-a17055d916dc · outbound

This paper cites Active image segmentation propagation,.

Exploring Spatial Diversity for Region-based Active Learning Active image segmentation propagation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.829244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30164c99-ac3e-429e-957d-b600fb4b19ec · outbound

This paper cites Suggestive annotation: A deep active learning framework for biomedical image segmentation,.

Exploring Spatial Diversity for Region-based Active Learning Suggestive annotation: A deep active learning framework for biomedical image segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.814136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f10dd420-c010-4dc8-ad92-f035c6551893 · outbound

This paper cites Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network,.

Exploring Spatial Diversity for Region-based Active Learning Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.798859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 378f5efa-fd48-42da-8f61-77b57f3a583f · outbound

This paper cites Variational adversarial active learning,.

Exploring Spatial Diversity for Region-based Active Learning Variational adversarial active learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.781681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b890eec5-9925-4938-923e-43e0c4a69210 · outbound

This paper cites Region-based active learning for efficient labeling in se- mantic segmentation,.

Exploring Spatial Diversity for Region-based Active Learning Region-based active learning for efficient labeling in se- mantic segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.766268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d4ee3ae1-2fba-49b8-a56b-1fee12ba2b98 · outbound

This paper cites Viewal: Active learning with viewpoint entropy for semantic segmentation,.

Exploring Spatial Diversity for Region-based Active Learning Viewal: Active learning with viewpoint entropy for semantic segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.749120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cc5ee9e0-4289-4caf-92dd-ed496e883e86 · outbound

This paper cites Heuristic and special case algorithms for dispersion problems,.

Exploring Spatial Diversity for Region-based Active Learning Heuristic and special case algorithms for dispersion problems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.730025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9345f90-9181-4449-9e61-602e46dbb510 · outbound

This paper cites An axiomatic approach for result diversi- fication,.

Exploring Spatial Diversity for Region-based Active Learning An axiomatic approach for result diversi- fication,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.713598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab0d8052-b473-4e96-bcee-68b82a26a6bc · outbound

This paper cites A Survey of Deep Active Learning.

Exploring Spatial Diversity for Region-based Active Learning A Survey of Deep Active Learning

Reference 25

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Source-reported events for the cited work

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Observation 917e3092-4c01-4bf6-b6dd-66a4778c9974 · outbound

This paper cites The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results,.

Exploring Spatial Diversity for Region-based Active Learning The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T14:56:38.482791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a079bd8b-ba68-499a-8260-d38a2bd9e3a0 · outbound

This paper cites Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation,.

Exploring Spatial Diversity for Region-based Active Learning Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.686326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c3caaf5-cdd0-4166-a7bd-e1ca1c48195f · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

Exploring Spatial Diversity for Region-based Active Learning Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.670071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be1cc2ca-bbc1-4481-853e-eca43b45ba69 · outbound

This paper cites Xception: Deep learning with depthwise separable convo- lutions,.

Exploring Spatial Diversity for Region-based Active Learning Xception: Deep learning with depthwise separable convo- lutions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.653956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c00404ab-f4c4-4be6-ac7e-442201077082 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Exploring Spatial Diversity for Region-based Active Learning Imagenet: A large-scale hierarchical image database,

Reference 30

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Source-reported events for the cited work

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Observation 925bb243-9175-4da0-aa0f-70945c18a20b · outbound

This paper cites Feature pyramid networks for object detection,.

Exploring Spatial Diversity for Region-based Active Learning Feature pyramid networks for object detection,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:56:38.506835Z

Source-reported events for the cited work

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Observation 94f0a9bf-d5a0-4dfb-84a6-a8a5501bf2b1 · outbound

This paper cites Playing for data: Ground truth from computer games,.

Exploring Spatial Diversity for Region-based Active Learning Playing for data: Ground truth from computer games,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.613503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54aea428-338e-4b3e-b98c-f80f192f1294 · outbound

This paper cites Max-sum diversification, monotone submodular functions and dynamic updates,.

Exploring Spatial Diversity for Region-based Active Learning Max-sum diversification, monotone submodular functions and dynamic updates,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:56:38.595811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.