Paper Citation Record · LEDGER

X-ray illicit object detection using hybrid CNN-transformer neural network architectures

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.00564.

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

pith.paper-citation-record.v1
2505.00564 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:42:15.195998Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 fuzzy26
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77e3ac66-436f-442d-9578-b8dae1933f24 · outbound

This paper cites Pidray: A large-scale x- ray benchmark for real-world prohibited item detection,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Pidray: A large-scale x- ray benchmark for real-world prohibited item detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.727789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3bd91b6-f695-409c-9da4-96831ea536a4 · outbound

This paper cites Illicit item detection in x-ray images for security applications,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Illicit item detection in x-ray images for security applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.711256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3855ecc8-6220-45dd-a7a2-6981e51bc922 · outbound

This paper cites Computer vision on x-ray data in industrial production and security applications: A comprehensive survey,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Computer vision on x-ray data in industrial production and security applications: A comprehensive survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.694853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4fdde472-b0b3-4c94-8580-e9d8068bc987 · outbound

This paper cites Visual inspection for illicit items in x-ray images using deep learn- ing,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Visual inspection for illicit items in x-ray images using deep learn- ing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.678922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38438511-c2a8-4d43-8300-04b76d9693ab · outbound

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

X-ray illicit object detection using hybrid CNN-transformer neural network architectures An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.058456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e04b334e-d87b-48bb-8233-c1c9069b426e · outbound

This paper cites Illicit object detection in x-ray images using vision transformers,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Illicit object detection in x-ray images using vision transformers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.662825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71576436-a930-4991-ab8b-79bba5532926 · outbound

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

X-ray illicit object detection using hybrid CNN-transformer neural network architectures End-to-end object detection with transformers,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.068584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f4c213-e002-4f79-9ace-9744bce85fa1 · outbound

This paper cites Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.073101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2466f2a4-92a8-4015-9206-74330fd1eefc · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.078105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17f9f903-eb78-4c62-89fb-a98d7faf15db · outbound

This paper cites Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.636670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff98c676-c98c-456b-98d9-456bb559aa79 · outbound

This paper cites A survey of the vision transformers and their cnn-transformer based variants,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures A survey of the vision transformers and their cnn-transformer based variants,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.087773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa8a1de3-bd8f-458a-a680-d8b78315cecf · outbound

This paper cites Combining transformer and cnn for object detection in uav imagery,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Combining transformer and cnn for object detection in uav imagery,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.610007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b94cfe39-0896-4723-bad5-acefd02857f2 · outbound

This paper cites Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.097008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76f5b287-eff6-4d68-babd-d37e104a2896 · outbound

This paper cites Object detection and x-ray security imaging: A survey,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Object detection and x-ray security imaging: A survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.595929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fe37a67-8b7e-421d-954f-2f538283e135 · outbound

This paper cites The invisible arms race: digital trends in illicit goods trafficking and ai-enabled responses,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures The invisible arms race: digital trends in illicit goods trafficking and ai-enabled responses,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.581688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c58b27b-d67d-437e-be94-8350a93312c7 · outbound

This paper cites an unresolved cited work.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:42:15.567257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c46f0a89-29af-495d-830d-9c3f17ec4ce7 · outbound

This paper cites Jocher, J.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Jocher, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.553367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e6e463f-50fd-4170-b658-f56efb303392 · outbound

This paper cites Detrs beat yolos on real-time object detection,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Detrs beat yolos on real-time object detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.539755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29bb6ab6-4762-4a4c-bf00-0d32034bd7d8 · outbound

This paper cites Exploring endogenous shift for cross-domain detection: A large-scale benchmark and perturbation suppression network,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Exploring endogenous shift for cross-domain detection: A large-scale benchmark and perturbation suppression network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.524021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37453e04-c898-4916-b371-a7f89d40abec · outbound

This paper cites Towards real-world x-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Towards real-world x-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.508969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f40f1f0-8079-48e4-8b30-16a1b687da8c · outbound

This paper cites Towards real- world prohibited item detection: A large-scale x-ray benchmark,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Towards real- world prohibited item detection: A large-scale x-ray benchmark,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.494237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14e1f633-f273-40d6-92c3-8a04679bc621 · outbound

This paper cites Occluded prohibited items detection: An x-ray security inspection benchmark and de-occlusion attention module,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Occluded prohibited items detection: An x-ray security inspection benchmark and de-occlusion attention module,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.480010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 727aa156-fdee-452a-aa86-271ace85f616 · outbound

This paper cites Em-yolo: An x-ray prohibited- item-detection method based on edge and material information fusion,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Em-yolo: An x-ray prohibited- item-detection method based on edge and material information fusion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.465801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d3b3bf0-2aba-4f37-9ed1-e1c807ee5d1f · outbound

This paper cites Sc-yolov8: A security check model for the inspection of prohibited items in x-ray images,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Sc-yolov8: A security check model for the inspection of prohibited items in x-ray images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.450409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bbc289e-f852-4a92-83af-e2a54e07a9a8 · outbound

This paper cites Lightweight detection method for x-ray security inspection with occlusion,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Lightweight detection method for x-ray security inspection with occlusion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.436419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61930377-4416-4362-9b6c-b2f6d31a9595 · outbound

This paper cites Improved yolov8 for dangerous goods detection in x-ray security images,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Improved yolov8 for dangerous goods detection in x-ray security images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.421994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5580067c-93f4-42d3-a3bd-da8c28605738 · outbound

This paper cites Lightweight prohibited items detection model in x-ray images based on improved yolov7-tiny,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Lightweight prohibited items detection model in x-ray images based on improved yolov7-tiny,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.407390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de9370bc-c480-4d0d-8b78-3dfbf9d253f7 · outbound

This paper cites Fea- ture knowledge distillation-based model lightweight for prohibited item detection in x-ray security inspection images,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Fea- ture knowledge distillation-based model lightweight for prohibited item detection in x-ray security inspection images,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.392015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e51e5401-96ad-48f9-b9b9-ee161df1ec31 · outbound

This paper cites Transformer-based dual-view x-ray security inspection image analysis,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Transformer-based dual-view x-ray security inspection image analysis,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.169864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0823599f-41d7-4b2d-9fe9-8f15b34a0190 · outbound

This paper cites Eslaxdet: A new x-ray baggage security detection framework based on self-supervised vision transformers,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Eslaxdet: A new x-ray baggage security detection framework based on self-supervised vision transformers,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.363603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26010cf4-9f0f-420e-b32a-03d785d413ad · outbound

This paper cites Self-supervised visual learning in the low-data regime: a comparative evaluation,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Self-supervised visual learning in the low-data regime: a comparative evaluation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.347965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d9d8e8d-e6c6-4730-a771-a52a0b9fcf63 · outbound

This paper cites Tinyvit: Fast pretraining distillation for small vision transformers,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Tinyvit: Fast pretraining distillation for small vision transformers,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.332714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c86cd98e-c8ce-4856-98ee-9a12a8a55bdb · outbound

This paper cites Detection of novel prohibited item categories for real-world security inspection,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Detection of novel prohibited item categories for real-world security inspection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.317060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89bba91d-7484-4bec-b383-a4c55a607010 · outbound

This paper cites Adaptxray: Vision transformer and adapter in x-ray images for prohibited items detection,.

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Adaptxray: Vision transformer and adapter in x-ray images for prohibited items detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:15.301253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dc5e87f-25cc-459a-b8a2-41ee4940f8fe · outbound

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

X-ray illicit object detection using hybrid CNN-transformer neural network architectures Microsoft coco: Common objects in context,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:15.195998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.