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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.151524Z digest=sha256:a88d6071b11e18433dee034e4846496c02b21ccd2d7c4a5dccdfca7a7675593b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.156698Z digest=sha256:d1153d7e7031db7c7115f75dcda378f03ec75438e3ca81033d9d47ce4a861262

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.161725Z digest=sha256:b38aa1930e2d0d098278a9ee4e2af09ff9674628351c818c55ee888a703ed317

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.166938Z digest=sha256:c9a1a41322b1183caf9466483f444c608b2dd1c7d2eb26345f5b83682e52bbd5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.171497Z digest=sha256:7e7464f1643448fa4f944d09fbabcb34f51c8286075c1afd2d26fa31af4bca87

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.176176Z digest=sha256:6ff89d5107c8e285ecdfa53d798d5c94a122f07045f7b193452f54fabe01a476

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.180793Z digest=sha256:e8dad143b34034168f424404fe807adf6a27b467cd536f270355782add004325

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.185537Z digest=sha256:7be79fa75d325f3affeb3e5e8015939d67ceb156b9fe3e0dd7a30e5a9d34a52a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.190260Z digest=sha256:069c063865621759c0157a0d35f4dd7049d12f3a776141990c9b1598269a378e

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.195282Z digest=sha256:c033b26b85160b4bd9b4c67aaee862fb5e2c51d35ba08c05fddb28c4a2d9e1fe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.199812Z digest=sha256:f279b28a8d3789ca13eb45db7f48668a1a47a21a80b56c7bd04c80606d56f9fc

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.204563Z digest=sha256:0d93ddea49eb81af3493ec89a1cf76baf579171eb284ec565c1e316587458b9b

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.218502Z digest=sha256:20d339f86fe303d1e033bfdcee6be3541ce8dae121decf1b52e3be952b149a14

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.222928Z digest=sha256:d317ebfb726d80fc80258c4907501cb1c80a38f94fe2cc28f8537a9fb5e7a318

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.227603Z digest=sha256:4336d8f2e1592ad743d5d4f2f779752c8fdbded833bcd5ea711745ba2ebe943a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.232537Z digest=sha256:dc2360e0dcb1a3e238617271d00325ef0a3f16b1cdf729b0a08d9f6e2ecb4bb5

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.237482Z digest=sha256:4f054bd5fd5bf88a2e8eb46769d91143bd80bb857bc7b1edbdeb59cf750f118f

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=sha256:8364af2d11a2c5027bd8224fd7ead789a521c3d77105e4abc45c814612edf82b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.246891Z digest=sha256:948730baac4a8aebe5b7e793f0c5bed479eb5eaf634f234e76f3493880b5e566

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.251434Z digest=sha256:7eee817661eba3337f5409ee9ba2f9ab0daea981e3e10c78f2a5da6a59ecb6a2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.256208Z digest=sha256:3979431a5a08a848fca92d1d3a78b4f017503afc7c421fb12183345b18e1a650

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.260968Z digest=sha256:a747e7fdacee5867b2ff64b52a297976a6db2f3e693321898d05b0b684dcb6b7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.265796Z digest=sha256:ce0ff4f45907d7bb0ebb47df25b0172fe77659e6a4e5619b131919fac8bf4491

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=sha256:731c28a99a68c97e87a1f3143dac9f76899c63c9081b5767b039b28215a7a567

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.275400Z digest=sha256:61e9c1a91d6a1e622450146439f72795e440162cae2a9996d084f75a6a94572f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.279724Z digest=sha256:e4ac621935fce8d7ad6e752ee517e38f14b0c4849ad777aada057ec60ca87833

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=sha256:1565b23d23d43b4715625d06c8d35fb0901623afe0bddbb75d7d08560cdad583

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.288824Z digest=sha256:ae7ae0bdb0372bf3f2e0db3aea228e54a0eef4391da4bfd49315fa9442e3f842

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T15:22:13.292718Z digest=sha256:a6f2c8266ae0ce2e0cfa6005f79e5eb7e7d9c2070a5e81fc2d73f7a72dba24a2

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=sha256:23b40644297d3c95b08019b9e84479a2384245ed3370a425011ad21ff456cd3a

Pith citing papers

No inbound Pith citation observations are available.