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Paper Citation Record · LEDGER

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection

As of 13 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2502.01710.

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

pith.paper-citation-record.v1
2502.01710 v4

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:22:13.296722Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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.

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 exact1
  • verified fuzzy29
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 918a32eb-149e-42bb-898c-e5d8dcfbcca0 · outbound

This paper cites An evaluation of region based object detection strategies within x-ray baggage security imagery,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection An evaluation of region based object detection strategies within x-ray baggage security imagery,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 33f3d4e4-cd94-4c97-80b0-1e3554f48800 · outbound

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

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Towards real-world prohibited item detection: A large-scale x-ray benchmark,

Reference 2

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raw_fallback, observed 2026-08-09T15:22:13.834921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.142096Z digest=sha256:021a62e395c152d17e54a659501628ca69e7a7596d66e9b58d212dbf7a2c1ff3

Observation f9fe35f7-de01-417a-bffd-90dafb8822e0 · outbound

This paper cites Detecting overlapped objects in x-ray security imagery by a label-aware mechanism,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Detecting overlapped objects in x-ray security imagery by a label-aware mechanism,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dbda64bd-ba08-4d3d-8042-4166a6ab7a2a · outbound

This paper cites Using deep convolutional neural network architectures for object clas- sification and detection within x-ray baggage security imagery,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Using deep convolutional neural network architectures for object clas- sification and detection within x-ray baggage security imagery,

Reference 4

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raw_fallback, observed 2026-08-09T15:22:13.805816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.151524Z digest=sha256:5dbaaaac02c63b9d41435138f17911efb2e13b5a7d33b14c9907013c74db0c07

Observation d07fc062-8237-43c9-9df1-2ef40db57c80 · outbound

This paper cites Sixray: A large-scale security inspection x-ray benchmark for prohibited item discovery in overlapping images,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Sixray: A large-scale security inspection x-ray benchmark for prohibited item discovery in overlapping images,

Reference 5

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raw_fallback, observed 2026-08-09T15:22:13.791385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.156698Z digest=sha256:8b55e786061b8d08e924ae391be5664a42a10ee40aa8ba82ff373255b9699156

Observation bf5fe85f-4fcf-4cdc-8939-5a34b271d548 · outbound

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

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Towards real-world x-ray security inspection: A high- quality benchmark and lateral inhibition module for prohibited items detection,

Reference 6

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raw_fallback, observed 2026-08-09T15:22:13.778221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.161725Z digest=sha256:30b8201f9c0c5748067bc01154745d5a5153b15884bc8220b086686005ba7dbe

Observation 34f709c0-72e0-4822-a016-da72055994b1 · outbound

This paper cites Towards dual- view x-ray baggage inspection: A large-scale benchmark and adaptive hierarchical cross refinement for prohibited item discovery,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Towards dual- view x-ray baggage inspection: A large-scale benchmark and adaptive hierarchical cross refinement for prohibited item discovery,

Reference 7

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raw_fallback, observed 2026-08-09T15:22:13.764596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.166938Z digest=sha256:7f7840902a5c9e90267fbc765023cf86a31f1355b74d3c358bc7ef10403a51d5

Observation d3b2a5a6-9be6-4c70-a235-ad4f9e17fdbd · outbound

This paper cites Advancements in machine learning techniques for threat item detection in x-ray images: a comprehensive survey,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Advancements in machine learning techniques for threat item detection in x-ray images: a comprehensive survey,

Reference 8

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raw_fallback, observed 2026-08-09T15:22:13.749577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.171497Z digest=sha256:84131b0fcfbd481c526ace41c16050996b3d3e8cc815867597059e4a8a782eb8

Observation f4bf2bd9-d843-406e-8b76-62bb864ba1c4 · outbound

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

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Occluded prohibited items detection: An x-ray security inspection benchmark and de-occlusion attention module,

Reference 9

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raw_fallback, observed 2026-08-09T15:22:13.734540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.176176Z digest=sha256:7e7acf543c6963eaa3b252951297c9e534c74371bd7b8bbe060fd255536077f1

Observation bb8b53d0-512a-48b1-b19c-a20528700ed6 · outbound

This paper cites Cfpa-net: Cross-layer feature fusion and parallel attention network for detection and classification of prohib- ited items in x-ray baggage images,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Cfpa-net: Cross-layer feature fusion and parallel attention network for detection and classification of prohib- ited items in x-ray baggage images,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.180793Z digest=sha256:9587a189046ad57d6678ae1dd5491339faf364b2b0443b20251893e952d5484a

Observation 9e410bff-614b-4186-ad3d-2ef9a8bf4675 · outbound

This paper cites A defect recognition method for low-quality weld image based on consistent multiscale fea- ture mapping,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection A defect recognition method for low-quality weld image based on consistent multiscale fea- ture mapping,

Reference 11

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raw_fallback, observed 2026-08-09T15:22:13.703547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.185537Z digest=sha256:2c40f65417fda839bb4d2ce5cb87fa0935cc7e589eeb925f41de00016f63fc3a

Observation e6eb9bf9-448e-4069-8ce8-189a8147c80a · outbound

This paper cites Re-bifpn: Refining bifpn for accurate object detection in images,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Re-bifpn: Refining bifpn for accurate object detection in images,

Reference 12

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raw_fallback, observed 2026-08-09T15:22:13.688017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.190260Z digest=sha256:539a6367624c7a08613993685535b3b7ab8d99f0b46a3fa205fbf18618a0cf9e

Observation 6e57a0cd-3bf3-4c4c-9ae3-4013e0587c4b · outbound

This paper cites Fdtnet: Enhanc- ing frequency-aware representation for prohibited object detection from x-ray images via dual-stream transformers,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Fdtnet: Enhanc- ing frequency-aware representation for prohibited object detection from x-ray images via dual-stream transformers,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.672493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.195282Z digest=sha256:0b1308fcf3bdf91ef889b4f5d49fd42bb2420f779bc32155bda07fcde7df2300

Observation 9f49a6e3-734e-49bf-bf85-4be1e9ddfeac · outbound

This paper cites Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?

Reference 14

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local_arxiv, observed 2026-08-09T15:22:13.375245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.199812Z digest=sha256:ac9c221539d3c17e9435ed215b7c29f836b7f3ccae44e0d5f8fe6be47e6b4352

Observation 93631b4e-b834-43f0-94f7-c9f9996fbffb · outbound

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

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Transformer-based dual-view x-ray security inspection image analysis,

Reference 15

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raw_fallback, observed 2026-08-09T15:22:13.657404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.204563Z digest=sha256:87d7849d298e46292db905278bfe9636db33fd3292ad264453e3d4d6b2919ad5

Observation 4c3cd376-5c6f-4124-88cd-8f09762546b7 · outbound

This paper cites High performance depthwise and pointwise convolutions on mobile devices,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection High performance depthwise and pointwise convolutions on mobile devices,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8f2fe267-7b4e-4e97-a6d9-94f9a4b06e0d · outbound

This paper cites an unresolved cited work.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 85e6904e-1c7c-444d-ae62-6b59c859fa81 · outbound

This paper cites Fft-based dynamic token mixer for vision,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Fft-based dynamic token mixer for vision,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.608804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.218502Z digest=sha256:3a04eb304c97db79a3b3f4262289f59fe25e9c033a418b2dd607c29f84c8ab0b

Observation 0b0fd539-7caa-4b86-b979-ee0e2a4e4bc7 · outbound

This paper cites Guided real image dehazing using ycbcr color space,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Guided real image dehazing using ycbcr color space,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.222928Z digest=sha256:1fcb9b0cdf105e59136cfdee33409757aee0c42bcc12123aacb23a9f7c0ab463

Observation 17c79b30-c66c-460d-ae8c-7417c1413347 · outbound

This paper cites Image transformers,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Image transformers,

Reference 20

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raw_fallback, observed 2026-08-09T15:22:13.580612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.227603Z digest=sha256:1b8f446c9e3d1c9a6b0d627997fac9ea6f14edc40c07d451a61d453aadf0da90

Observation 0e8c014f-29cb-4731-9713-c7f30158b6ca · outbound

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

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.567459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.232537Z digest=sha256:fc45c54fd06f2a5abe8d17b48daccca4ea74266a62e3e75b8d3cd119c805c102

Observation c024fdcc-992a-4571-ac5b-38e4ba5256bf · outbound

This paper cites Mobilenets: Efficient convolutional neural networks for mobile vision applications,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Mobilenets: Efficient convolutional neural networks for mobile vision applications,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.552212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.237482Z digest=sha256:8435b5a78443ee78f6762c79d4d2af2c8e3290716bb62fd20da6ed3c5a9c21b3

Observation 584345df-cbb7-42bb-8f00-a63898232e36 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Xception: Deep learning with depthwise separable convolu- tions,

Reference 23

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no resolver link, observed 2026-08-09T15:22:13.242215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:22:13.242215Z digest=sha256:5b45b32d58af524dfa71ab9d538e2742d77bb15d7629db1310088bae24556f90

Observation 72e5a45d-36c0-420e-885f-f4d6448ae037 · outbound

This paper cites Cbam: Convolutional block attention module,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Cbam: Convolutional block attention module,

Reference 24

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raw_fallback, observed 2026-08-09T15:22:13.528394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.246891Z digest=sha256:77312af1174cd575328da05ca90ba49b6f1ea4f5bcd8c9dfb0a0564e2ab344b0

Observation f020dfe7-98a6-4d63-b727-291d574ea9d4 · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Cspnet: A new backbone that can enhance learning capability of cnn,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.512926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.251434Z digest=sha256:2fad9cde3823cc8d7a52b5145e7b6b3ef4aae221a1c8f0420eeb8cbfd6cf9d22

Observation 4c9388e9-6c79-4845-8c26-c7cf0fcf6145 · outbound

This paper cites Multi-view x-ray r-cnn,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Multi-view x-ray r-cnn,

Reference 26

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raw_fallback, observed 2026-08-09T15:22:13.496671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.256208Z digest=sha256:eafde897f0a8821302215c75f8edd239035a374259c2b586c264f20441df0cd2

Observation b531ba72-d3c5-44e3-b32e-e15d666d86cd · outbound

This paper cites Multi-view object detection using epipolar constraints within cluttered x-ray security imagery,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Multi-view object detection using epipolar constraints within cluttered x-ray security imagery,

Reference 27

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raw_fallback, observed 2026-08-09T15:22:13.481321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.260968Z digest=sha256:fe532dc44fa716798394c9a59cc3f66ce591e3dd6901cab59dab61f45d173564

Observation 5d9c9273-f643-4d3c-b7d5-dff76162ea35 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Pytorch: An imperative style, high-performance deep learning library,

Reference 28

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raw_fallback, observed 2026-08-09T15:22:13.466241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.265796Z digest=sha256:fbb37d71019aa6e3a8c3701d70cf6f6acb1579dfd6b3d15027adf65f3c01401f

Observation 57d619e1-f4b6-4db9-87a5-0603314784b9 · outbound

This paper cites Decoupled Weight Decay Regularization.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Decoupled Weight Decay Regularization

Reference 29

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no resolver link, observed 2026-08-09T15:22:13.270679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:22:13.270679Z digest=sha256:d154b5ff14437476d7aef3fbb89b91971f9ca3199aa2ca024f5a4fab3a274eb6

Observation a5dc9afc-0096-4ebd-8aa8-c75bd4c2d393 · outbound

This paper cites Mixed precision training,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Mixed precision training,

Reference 30

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raw_fallback, observed 2026-08-09T15:22:13.450549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.275400Z digest=sha256:ca107649e1c5378590edea79723ab972b77db8e8d1da73265f381f3d51d29aa4

Observation 308a1297-7a4c-4be6-9e56-14216c987df3 · outbound

This paper cites Acceleration of stochastic approximation by averaging,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Acceleration of stochastic approximation by averaging,

Reference 31

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raw_fallback, observed 2026-08-09T15:22:13.434723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.279724Z digest=sha256:6cd3a3bfc265a38009dd445e0a3b2f0a03a1dad4dd5c3a12eb24f6813c370330

Observation 687b6ea1-d238-46d7-8e6d-6761bac1228f · outbound

This paper cites Deep residual learning for image recognition,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Deep residual learning for image recognition,

Reference 32

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unresolved
no resolver link, observed 2026-08-09T15:22:13.284896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:22:13.284896Z digest=sha256:62857354c7db17dc05d4ce83fabf937ae8797e80cc6d87d47fa3594bf875001f

Observation 3757efcd-a172-4453-99de-9f87f38c7262 · outbound

This paper cites Aggregated residual transformations for deep neural networks,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection Aggregated residual transformations for deep neural networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.408299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.288824Z digest=sha256:0f60231d79daaf07082a31981a8a28a96cbf08a1069080354ed61ebac85e21d8

Observation 2d5564a4-3349-411e-b0c8-de70334756f5 · outbound

This paper cites De- signing network design spaces,.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection De- signing network design spaces,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.392023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T15:22:13.292718Z digest=sha256:89ba6be598b35ac4d6c71d687ba9bfc9438ac9183f58a9a853b7dbfa3b8921e4

Observation a9ef7989-9973-487f-b4e9-f3495ef344ab · outbound

This paper cites A ConvNet for the 2020s.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection A ConvNet for the 2020s

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T15:22:13.296722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:22:13.296722Z digest=sha256:b7b2921f2a032cbdedfb2658a90eade1cf54eb04e6baed773390951bca5635df

Pith citing papers

No inbound Pith citation observations are available.