Pith. sign in

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 2026-08-13T06:32:02.005865+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.850028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.136573Z digest=sha256:4a9255fb5ecfa00e2c33209c4c28bead0896757e4a3e553cf12d7d5ddd572d68

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.142096Z digest=sha256:f1e0e48a29f3ec8a287cc0a9794ebb00ab74a18d4b65800c2fb93fd944a7184d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.820355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.146814Z digest=sha256:6b7ab4f987a2a45621829b1c8eaddc50c9b2ff643c27c3c2f2868d3aa15feac2

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.151524Z digest=sha256:df8346712adcbb8fba79f3d7e821962b15df6a4d5740b3be8306b4085121db93

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.156698Z digest=sha256:0d0016176d766d30d3e3507b8a3e80b5767c09fb56d13afd4858531fd76c2f17

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.161725Z digest=sha256:e8d0261c85fd14d1c6ccde66b21fa176c1c0bd38ce2821266765ba78581a925e

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.166938Z digest=sha256:f59b55a82784b9b8540bb63ab2336c3dd13452bdb0b650fd6e3d26e740f80dc8

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.171497Z digest=sha256:c3934c794f27cff33c03be20cf0cef087c7ab7f137314c9f8347f3778aeaf4eb

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.176176Z digest=sha256:ebfe6ee318b1034fdb33b1d59b384e1d6a6e30258f35aab0c9bfdd91bfc84d07

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.719120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.180793Z digest=sha256:3ff52b32b46427fe9bba4fe34ef1d28730fc29a6501f83c942893ca1860cee2c

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.185537Z digest=sha256:044e43d2f09ee6d4460c3e9262ec309a2599f579088d182dd8f4637a2b55cc22

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.190260Z digest=sha256:138172e7ddf3910a630168e8724c7ccc1c196e6f0cfa829fdd435cd858d676ab

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.195282Z digest=sha256:70be94bc0eaebe7a94d5543d392ea67ab3befb2679fee93cad4682adcd4b1e32

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

Resolution
verified exact
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.199812Z digest=sha256:4224748b55e593f255f0f2af9eee4ddbb840982fa82b106f9d1cd085f8a18ec5

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.204563Z digest=sha256:7695bb2751e1d97779f82e5486f41ab916f525620b740177d5fa035157475e3b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.642392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.209387Z digest=sha256:70564fb4b2a08db8ad9a7c0d659fbc088d24afbb3aed283d0dc896de077a5644

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

Resolution
unresolved
raw_fallback, observed 2026-08-09T15:22:13.625472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.213970Z digest=sha256:57148b1304bf1ebd0b359fef405ce32cd5ce0d65ecd13e878cc4b8db293256a1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.218502Z digest=sha256:3d6c4022925636dc429ffc82da53f3b68ee0c253c90c99a355249de5992ddbe0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:22:13.594478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.222928Z digest=sha256:0da05c2f48fc4211759a17aefe5324bf5660bd0518bb5f5bba730860513a1331

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.227603Z digest=sha256:0ea2429508d58d5e03a8c6ae8c9eacd8c9f79cc288b16601c3d89186f2c98776

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.232537Z digest=sha256:f8b36e9b0b2e84f75a1653dbff7cdd5ad47dba85a0d50eeb6dc305ca8190c597

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.237482Z digest=sha256:0fb44463964b77391fc75e5132ec7a07fc42d7ed5646b8f2f4f8f6edd3768c52

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

Resolution
unresolved
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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.246891Z digest=sha256:8ca75611afe91d6c7587ac66bf3d12dbf1591921e8b7d3b98322cecb38b8b793

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.251434Z digest=sha256:a3c1ad4d7931621255cea6030168736e9101bd17007a673fa7557da04cd273f0

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.256208Z digest=sha256:a4add683efaabc5e0a007accf914cdf583cbf502af704ffa5b51ac543ac5183a

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.260968Z digest=sha256:e71ee333f865a657710f368e6bb25699ca438b8d17f29aa6f64232ad488e0679

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.265796Z digest=sha256:da7c2e28135653e91bc0c2212f0c7c762a1236f7667534edc4b405127f2dd8b3

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

Resolution
unresolved
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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.275400Z digest=sha256:c1cecbfa3d0e5048695eab248bfbac4ba70cd1bd4ae757b2ac707db8c0d1e8d2

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.279724Z digest=sha256:357ee07af213121f6400d9d937a663aeec1279856486dd6b5f80a8dc04218533

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.288824Z digest=sha256:8ad748fb4da44e69a2cf4ae3d9143e68a1cc1964f8669042f05722e145342474

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T15:22:13.292718Z digest=sha256:fd06c4749fa321ddea183af9f62a848939dd4773c8d4d3c333f0dab9fa4e0a68

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.