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Paper Citation Record · LEDGER

Foundation-Assisted Active Learning for Object Detection Annotation

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.16671.

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

pith.paper-citation-record.v1
2607.16671 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

38 of 38 outbound references displayed

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Outbound references

Observation 8cb7d488-dda7-45ac-84f4-4c7b7440c630 · outbound

This paper cites Contextual diversity for active learning.

Foundation-Assisted Active Learning for Object Detection Annotation Contextual diversity for active learning

Reference 1

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Observation 869f2044-a6c5-4a4d-8b5c-5d17f6251633 · outbound

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

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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Observation 55224402-0df4-4f9d-83d6-42dd852c308b · outbound

This paper cites Active learning meets foundation models: fast remote sensing data annotation for object detection.

Foundation-Assisted Active Learning for Object Detection Annotation Active learning meets foundation models: fast remote sensing data annotation for object detection

Reference 3

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Observation 7f1321a7-62c0-4276-ab7e-14d7bfa3aec8 · outbound

This paper cites End-to-end object detec- tion with transformers.

Foundation-Assisted Active Learning for Object Detection Annotation End-to-end object detec- tion with transformers

Reference 4

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Observation 045c655f-878b-4022-89ba-571692b64347 · outbound

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

Foundation-Assisted Active Learning for Object Detection Annotation Emerging properties in self-supervised vision transformers

Reference 5

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Observation 7bef1b4d-b119-44d6-83ea-39d877421209 · outbound

This paper cites Making Your First Choice: To Address Cold Start Problem in Vision Active Learning.

Foundation-Assisted Active Learning for Object Detection Annotation Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

Reference 6

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Observation 87cc28bf-a1f3-467c-adeb-cc23fe2a1c2b · outbound

This paper cites DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles.

Foundation-Assisted Active Learning for Object Detection Annotation DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles

Reference 7

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Observation 7819d01a-85f4-470c-8421-38d37bec0442 · outbound

This paper cites T-rex2: Towards generic object detection via text-visual prompt synergy.

Foundation-Assisted Active Learning for Object Detection Annotation T-rex2: Towards generic object detection via text-visual prompt synergy

Reference 8

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Observation e0c9b431-5f79-46fc-9a18-833a08027fef · outbound

This paper cites ChatRex: Taming Multimodal LLM for Joint Perception and Understanding.

Foundation-Assisted Active Learning for Object Detection Annotation ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

Reference 9

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Observation 82032633-e1f8-4b9f-91e7-2ca68f874d43 · outbound

This paper cites Object recognition consistency in regression for active detection.

Foundation-Assisted Active Learning for Object Detection Annotation Object recognition consistency in regression for active detection

Reference 10

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Observation f4caa330-7e96-42ca-81bb-78366dc44519 · outbound

This paper cites Segment anything.

Foundation-Assisted Active Learning for Object Detection Annotation Segment anything

Reference 11

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Observation c2525afa-2c3a-4aaf-8542-21ed06fbbc7f · outbound

This paper cites Interactive multi-class tiny-object detection.

Foundation-Assisted Active Learning for Object Detection Annotation Interactive multi-class tiny-object detection

Reference 12

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Observation 24f6c0e5-a444-40a8-b167-e9e45700fcbb · outbound

This paper cites Coreset selection for object detection.

Foundation-Assisted Active Learning for Object Detection Annotation Coreset selection for object detection

Reference 13

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Observation 35bafd02-e21c-46f8-b842-4452b5629811 · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark.

Foundation-Assisted Active Learning for Object Detection Annotation Object detection in optical remote sensing images: A survey and a new benchmark

Reference 14

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Observation d2e92973-a853-4b9f-9d19-adc68259d651 · outbound

This paper cites Comae: Comprehensive attribute exploration for zero-shot hashing.

Foundation-Assisted Active Learning for Object Detection Annotation Comae: Comprehensive attribute exploration for zero-shot hashing

Reference 15

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Observation 8331c497-533d-4457-a7fd-402e2ce12cdc · outbound

This paper cites 3d plant root skeleton detection and extraction.

Foundation-Assisted Active Learning for Object Detection Annotation 3d plant root skeleton detection and extraction

Reference 16

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Observation 254ec66e-ea22-43c4-aee2-01545f5ef203 · outbound

This paper cites Keypoint detection and description for raw bayer images.

Foundation-Assisted Active Learning for Object Detection Annotation Keypoint detection and description for raw bayer images

Reference 17

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Observation e86a8338-e7e8-4c6e-9c89-e9bf755590b9 · outbound

This paper cites RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer.

Foundation-Assisted Active Learning for Object Detection Annotation RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Reference 18

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Observation a92c4846-5471-42d0-b897-8a4e4838468a · outbound

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

Foundation-Assisted Active Learning for Object Detection Annotation DINOv2: Learning Robust Visual Features without Supervision

Reference 19

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Observation 4560fdf5-f5b5-41dd-bd35-034a37b1992e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Foundation-Assisted Active Learning for Object Detection Annotation SAM 2: Segment Anything in Images and Videos

Reference 20

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Observation 543d20bb-fffd-4f57-8f45-e3ba92a36b8b · outbound

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

Foundation-Assisted Active Learning for Object Detection Annotation Active learning for convolutional neural networks: A core-set approach

Reference 21

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Observation 96673e33-3d0d-461c-bb19-fa80193ebdd8 · outbound

This paper cites DINOv3.

Foundation-Assisted Active Learning for Object Detection Annotation DINOv3

Reference 22

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Observation a9580393-bd2f-45cb-b186-a6214ea2e160 · outbound

This paper cites Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery.

Foundation-Assisted Active Learning for Object Detection Annotation Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery

Reference 23

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Observation 1c00f755-e371-4a82-976e-fe8a9b302813 · outbound

This paper cites H-yolo: A single-shot ship detection approach based on region of interest preselected network.

Foundation-Assisted Active Learning for Object Detection Annotation H-yolo: A single-shot ship detection approach based on region of interest preselected network

Reference 24

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Observation a14cfb4d-b645-4de4-8c8e-cad8c4596857 · outbound

This paper cites Curvature-adaptive consistency flow matching: Autonomous trajectory optimization via reinforcement learning, 2026.

Foundation-Assisted Active Learning for Object Detection Annotation Curvature-adaptive consistency flow matching: Autonomous trajectory optimization via reinforcement learning, 2026

Reference 25

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Observation da132490-14a6-46b0-9971-29fb084128ec · outbound

This paper cites Incorporating diversity and informativeness in multiple-instance active learning.

Foundation-Assisted Active Learning for Object Detection Annotation Incorporating diversity and informativeness in multiple-instance active learning

Reference 26

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Observation 4b019d14-9247-4094-98ec-a50041b86d9e · outbound

This paper cites Alwod: Active learning for weakly-supervised object detection.

Foundation-Assisted Active Learning for Object Detection Annotation Alwod: Active learning for weakly-supervised object detection

Reference 27

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Observation 0c12e5bb-0b23-4ab0-8386-14ee7b4696d0 · outbound

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

Foundation-Assisted Active Learning for Object Detection Annotation Entropy-based active learning for object detection with progressive diversity constraint

Reference 28

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Observation 58c2e5b9-e3d2-4385-b121-f329e1308745 · outbound

This paper cites From points to coalitions: Hierarchical contrastive shapley values for prioritizing data samples.

Foundation-Assisted Active Learning for Object Detection Annotation From points to coalitions: Hierarchical contrastive shapley values for prioritizing data samples

Reference 29

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Observation 61b27192-ae0c-43ab-9c8d-339362a3ad27 · outbound

This paper cites Path matters: Unveiling geometric implicit bias via curvature-aware sparse view optimization.

Foundation-Assisted Active Learning for Object Detection Annotation Path matters: Unveiling geometric implicit bias via curvature-aware sparse view optimization

Reference 30

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Observation b137a194-acab-4ab4-bef0-2cab367aead0 · outbound

This paper cites Prototype-aligned federated soft-prompts for continual web personalization.

Foundation-Assisted Active Learning for Object Detection Annotation Prototype-aligned federated soft-prompts for continual web personalization

Reference 31

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Observation 11b8b59a-0f22-4740-a0f7-77702405eded · outbound

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Foundation-Assisted Active Learning for Object Detection Annotation Reversible primitive–composition alignment for continual vision–language learning

Reference 32

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Observation 0f4b68c5-520b-4bff-8017-80cc10248993 · outbound

This paper cites Plug and play active learning for object detection.

Foundation-Assisted Active Learning for Object Detection Annotation Plug and play active learning for object detection

Reference 33

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Observation 814ccfb2-21a0-4fe2-8b8e-f36f4f4dddb6 · outbound

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

Foundation-Assisted Active Learning for Object Detection Annotation Multi-class active learning by uncertainty sampling with diversity maximization

Reference 34

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Observation 36a6cc4d-344f-4ed2-a4b5-4e3ffc86afe6 · outbound

This paper cites Learning loss for active learning.

Foundation-Assisted Active Learning for Object Detection Annotation Learning loss for active learning

Reference 35

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Observation bf7a7d60-a1ab-441d-b6f9-930cf58c630c · outbound

This paper cites Multiple instance active learning for object detection.

Foundation-Assisted Active Learning for Object Detection Annotation Multiple instance active learning for object detection

Reference 36

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Observation 7a4d2206-7a07-4338-b92c-c5c47f1d2c23 · outbound

This paper cites Adaptive event stream slicing for open-vocabulary event-based object de- tection via vision-language knowledge distillation.

Foundation-Assisted Active Learning for Object Detection Annotation Adaptive event stream slicing for open-vocabulary event-based object de- tection via vision-language knowledge distillation

Reference 37

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Observation 4df7275f-79e9-404a-9463-f750e208d05f · outbound

This paper cites Vision-language embodiment for monocular depth estimation.

Foundation-Assisted Active Learning for Object Detection Annotation Vision-language embodiment for monocular depth estimation

Reference 38

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Pith citing papers

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