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Paper Citation Record · LEDGER

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.24489.

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

pith.paper-citation-record.v1
2505.24489 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:23:56.890633Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8eddc15f-d583-464c-9066-c18c404bdc8d · outbound

This paper cites Energy efficient routing for wireless mesh networks with directional antennas: When q-learning meets ant systems,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Energy efficient routing for wireless mesh networks with directional antennas: When q-learning meets ant systems,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 72c00c1d-cec1-4e15-a89c-ea15f96080b6 · outbound

This paper cites Real-time drone anti-collision avoidance systems: an edge artificial intel- ligence application,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Real-time drone anti-collision avoidance systems: an edge artificial intel- ligence application,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f41dcca3-b194-43de-8f05-3e5c03d7c3e0 · outbound

This paper cites Attention is all you need,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Attention is all you need,

Reference 3

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Source-reported events for the cited work

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Observation ea799547-4762-46af-96e9-cf6b0f9c9805 · outbound

This paper cites When machine learning meets geospatial data: A comprehensive geoai review.,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing When machine learning meets geospatial data: A comprehensive geoai review.,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dfed76ed-6681-4543-abf9-d75c6ef9a1bb · outbound

This paper cites A weakly supervised deep learning framework for sorghum head detection and counting,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing A weakly supervised deep learning framework for sorghum head detection and counting,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8f1e59c8-05a5-42ff-8255-645216518cb0 · outbound

This paper cites Military object detection using multiple information extracted from hyperspectral imagery,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Military object detection using multiple information extracted from hyperspectral imagery,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0c3c19ad-0161-49fe-bc1e-63eb98dbf316 · outbound

This paper cites Automatic detection of solar photovoltaic arrays in high resolution aerial imagery,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Automatic detection of solar photovoltaic arrays in high resolution aerial imagery,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fd20f9f9-3dbe-432f-ad4e-79726fa516d6 · outbound

This paper cites A comparative study of deep learning-based models for object detection in remote sensing imagery,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing A comparative study of deep learning-based models for object detection in remote sensing imagery,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c0437dd5-49cb-4933-bab3-cd29157d47fd · outbound

This paper cites Ssd: Single shot multibox detector,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Ssd: Single shot multibox detector,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:54.005378Z digest=sha256:a1eec2c8da4ccd579c7d2d412f949ae20314d573b0554f3caefb3469edfe4051

Observation bae9f44b-67d4-4c3f-94a8-7e820bc96efd · outbound

This paper cites Transformers in remote sensing: A survey,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Transformers in remote sensing: A survey,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4a6a950b-2c41-4d0c-a019-6d13c80912d0 · outbound

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

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18c100d7-2735-4ffa-b21f-b3e9c4cc4f85 · outbound

This paper cites Ao2-detr: Arbitrary-oriented object detection transformer,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Ao2-detr: Arbitrary-oriented object detection transformer,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d96bc230-e26f-4019-b4ed-cdf2c9de14f6 · outbound

This paper cites Oriented Object Detection with Transformer.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Oriented Object Detection with Transformer

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8416588-f892-4636-ab0a-5a8298d5174e · outbound

This paper cites Road extraction method of remote sensing image based on deformable attention transformer,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Road extraction method of remote sensing image based on deformable attention transformer,

Reference 14

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raw_fallback, observed 2026-08-07T12:23:59.582108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8c4e4f4b-be9c-4ad5-aedb-2a8491034a87 · outbound

This paper cites Mabdt: Multi-scale attention boosted deformable transformer for remote sensing image dehazing,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Mabdt: Multi-scale attention boosted deformable transformer for remote sensing image dehazing,

Reference 15

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raw_fallback, observed 2026-08-07T12:23:59.434380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 633d6bdd-66f7-4f0d-a036-0e034e93afc2 · outbound

This paper cites Pr-deformable detr: Detr for remote sensing object detection,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Pr-deformable detr: Detr for remote sensing object detection,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a8b069c8-a61a-4f95-b057-80e02245c7a8 · outbound

This paper cites Refined deformable-detr for sar target detection and radio signal detection,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Refined deformable-detr for sar target detection and radio signal detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8861ea29-a8dd-4fb0-9718-34b6bc2cc182 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 18

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no resolver link, observed 2026-08-07T12:23:54.863400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3c889d6e-4c49-4599-90cb-d918df5f791b · outbound

This paper cites End-to-end object detection with transform- ers,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing End-to-end object detection with transform- ers,

Reference 19

Resolution
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raw_fallback, observed 2026-08-07T12:23:58.963254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0963affc-720e-4fae-8901-51e68c2f46a8 · outbound

This paper cites Focal loss for dense object detection,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Focal loss for dense object detection,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9cbc1802-74c4-4fc4-a2da-df5e3ca6918a · outbound

This paper cites Deep residual learning for image recognition,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Deep residual learning for image recognition,

Reference 21

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raw_fallback, observed 2026-08-07T12:23:58.685164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 60cb237f-2091-40da-99f3-dd8042c43945 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 22

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no resolver link, observed 2026-08-07T12:23:55.359976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d77ac550-a161-426c-835a-19cc527a8c9a · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing YOLOv11: An Overview of the Key Architectural Enhancements

Reference 23

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no resolver link, observed 2026-08-07T12:23:55.494359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc887b8f-9a31-4039-8af1-70990735775b · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Dn-detr: Accelerate detr training by introducing query denoising,

Reference 24

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raw_fallback, observed 2026-08-07T12:23:58.537699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b3b13725-3b82-4474-8ded-16b6df0d1760 · outbound

This paper cites Conditional detr for fast training convergence,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Conditional detr for fast training convergence,

Reference 25

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raw_fallback, observed 2026-08-07T12:23:58.404036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eb86cd44-e7e3-437b-9891-787d4176d5ad · outbound

This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 26

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unresolved
no resolver link, observed 2026-08-07T12:23:55.836778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0b51bcdc-4494-4b3c-97f2-bd5266781548 · outbound

This paper cites Airbus aircrafts detection sample dataset.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Airbus aircrafts detection sample dataset

Reference 27

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raw_fallback, observed 2026-08-07T12:23:58.243867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 81fa0fdd-58b8-43e2-a4d3-1efbdce2222d · outbound

This paper cites Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,

Reference 28

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raw_fallback, observed 2026-08-07T12:23:58.106586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 44d980d9-b729-422f-9e58-ae95a193b3cc · outbound

This paper cites Microsoft coco: Common objects in context,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Microsoft coco: Common objects in context,

Reference 29

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raw_fallback, observed 2026-08-07T12:23:57.964341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0fa27c1e-c5a8-4c03-a5d8-0f2a9e8ecb51 · outbound

This paper cites An adaptive sample assignment strategy based on feature enhancement for ship detection in sar images,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing An adaptive sample assignment strategy based on feature enhancement for ship detection in sar images,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T12:23:57.795780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:56.324841Z digest=sha256:b5d3933c5fb6f5ab0b05edfd4c7fe219ed096309b2d2aaee92de24869d627d5a

Observation 3c1637db-03b8-41e7-bb9f-aec3147d4774 · outbound

This paper cites Dense attention pyramid networks for multi-scale ship detection in sar images,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Dense attention pyramid networks for multi-scale ship detection in sar images,

Reference 31

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raw_fallback, observed 2026-08-07T12:23:57.661860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:56.453851Z digest=sha256:939abb11cbcd44f358ff5d7aa1711e59bc539c95b65e6c753d26e7a26893b87a

Observation b4ff78a4-4788-4977-bca5-bac2e9595e91 · outbound

This paper cites A local-sparse-information-aggregation transformer with explicit contour guidance for sar ship detection,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing A local-sparse-information-aggregation transformer with explicit contour guidance for sar ship detection,

Reference 32

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raw_fallback, observed 2026-08-07T12:23:57.449887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:56.621328Z digest=sha256:30dc4fea68c68c293e3ed984b8b6de1faa5a2d6128e32c808c9230f6f26fe5f8

Observation f71d5a71-1e43-4618-a464-35eb3fbaf0f7 · outbound

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

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Imagenet: A large-scale hierarchical image database,

Reference 33

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unresolved
no resolver link, observed 2026-08-07T12:23:56.742394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:56.742394Z digest=sha256:a6f4b0ea78c5d715ac0719ebc7e1af1f776bcebdae22d2bb0a026715e591005a

Observation 9564bdec-905d-4eba-9bb5-55fc92c019f3 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Training data-efficient image transformers & distillation through attention,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:57.285540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:56.809894Z digest=sha256:c21ab90c2c9cf3f9e5bc5f9e656d9468251fab1208da489ebec7327ccf0c96e1

Observation fbef00f8-5b78-4391-863f-6d21253f2fab · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:57.105638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:56.890633Z digest=sha256:6660d04cbd5f9abd2bf3ad35495f9ae4a975753127c3452a89c47931cd27fdb2

Pith citing papers

No inbound Pith citation observations are available.