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Paper Citation Record · LEDGER

BAM: Bottleneck Attention Module

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1807.06514.

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

pith.paper-citation-record.v1
1807.06514 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:08.657416Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T11:57:03.223989Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3d9a3440-9f6b-4e4b-80c2-b080c9911ff3 · inbound

Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving cites this paper.

Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving BAM: Bottleneck Attention Module

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:09:56.817598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T21:07:23.834580Z digest=sha256:42643668c98a4866c3682526b37355673eaa8730cec5fc7e6f4b0857bb9a2e75

Observation 44800016-b04b-4e38-b15e-9b8fb7bd0d06 · inbound

UPI-Net: Semantic Contour Detection in Placental Ultrasound cites this paper.

UPI-Net: Semantic Contour Detection in Placental Ultrasound BAM: Bottleneck Attention Module

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T06:01:56.265340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:01:56.265340Z digest=sha256:6fac55803df99d50ffbd79c2d75ac0ba57715dc3037d05649471a78f9f065fac

Observation 30e501de-d470-4f42-bb09-213223d57d7e · inbound

Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video cites this paper.

Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video BAM: Bottleneck Attention Module

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:43:54.062147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T04:39:27.271565Z digest=sha256:e8d7e39fcb68ac886b4191576222501d6a0418137824a7dd3fa3632b300ce8e8

Observation 9cf99029-b244-461d-a4b2-b2dc82332d4d · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases BAM: Bottleneck Attention Module

Reference 279

Resolution
unresolved
no resolver link, observed 2026-08-12T20:23:11.275108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:23:11.275108Z digest=sha256:03e8737d9fabfc78007734bef6143b464894ca5a4796bf4cb8b9560e1dc14990

Observation 8ae42757-5b55-4f9c-8429-7d4cac5967dd · inbound

STEAM: Squeeze and Transform Enhanced Attention Module cites this paper.

STEAM: Squeeze and Transform Enhanced Attention Module BAM: Bottleneck Attention Module

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T17:26:32.458831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:26:32.458831Z digest=sha256:ef4187863cb1f96bec73e1f2634ee9d0a3c55f57943590d94207dc4779752c63

Observation ec5dd6a2-909e-4d68-9e22-7681493b7157 · inbound

RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification cites this paper.

RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification BAM: Bottleneck Attention Module

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T14:00:38.765291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:00:38.765291Z digest=sha256:e39495b26c2c1285b9fff313b678d4d0e66f4fb190f3a4d4debd467042e50715

Observation 37ae681c-f926-4676-81f8-bc3ae5ce4ade · inbound

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images cites this paper.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images BAM: Bottleneck Attention Module

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:43.991753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:43.991753Z digest=sha256:4c77b9f8943483f9070fd59abe5922bf39fcfeeafd0a78820fe4932d46541ea8

Observation e5c74864-36c8-4b88-a3f1-924c5054c5ab · inbound

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images cites this paper.

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images BAM: Bottleneck Attention Module

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T12:12:08.657416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:12:08.657416Z digest=sha256:b9d79f9b9def1d9ed45fe604dd5fce2859c8903722456f5dc9d05012020b5ea8

Observation 49fe6840-d700-43b2-be24-117d0bd3e445 · inbound

How Effective Can Dropout Be in Multiple Instance Learning ? cites this paper.

How Effective Can Dropout Be in Multiple Instance Learning ? BAM: Bottleneck Attention Module

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:45:00.835113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:00.835113Z digest=sha256:b9eab64b22f10a04ab8e42089c5a13e4dbc0462e0ae5dc5f5b40857abf1e767c

Observation 9b8f5ece-319f-42d5-90cf-f32c3c0e2bf4 · inbound

MIA-Mind: A Multidimensional Interactive Attention Mechanism Based on MindSpore cites this paper.

MIA-Mind: A Multidimensional Interactive Attention Mechanism Based on MindSpore BAM: Bottleneck Attention Module

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T06:06:17.308875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:06:17.308875Z digest=sha256:b3cef0cd9462ca51e141dfd92a050ff75f45b5c4510a0cf7ce2387025f2c7b14

Observation 8198e05c-b7e8-4c5b-b0a7-a54cdb29037b · inbound

Achieving 3D Attention via Triplet Squeeze and Excitation Block cites this paper.

Achieving 3D Attention via Triplet Squeeze and Excitation Block BAM: Bottleneck Attention Module

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T22:55:38.515572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:55:38.515572Z digest=sha256:91a7a14c23b4d6d0cd414b548ed599f90887748b15f6a434cda2593434ce3bf2

Observation 6aca5cff-ba82-4bf4-a53e-03a6f0e0d6a3 · inbound

Quotient Network -- A Network Similar to ResNet but Learning Quotients cites this paper.

Quotient Network -- A Network Similar to ResNet but Learning Quotients BAM: Bottleneck Attention Module

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:20.313122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:20.313122Z digest=sha256:5464cf4cb79f444ab1a3421102a4a88b158763452cd34b0978673758e9a3b009

Observation 2e586c1b-6723-457f-b87c-d3cf6ad0924e · inbound

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution cites this paper.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution BAM: Bottleneck Attention Module

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:37.273751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:37.273751Z digest=sha256:ba5f77ca4d5a332d1fdc7f9b72c697da54ad47d039342b1eb2e7598e504f401e

Observation 04e271b0-e10e-47da-b41d-65db8531bb21 · inbound

FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception cites this paper.

FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception BAM: Bottleneck Attention Module

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:39.177506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:39.177506Z digest=sha256:45f6184eae3b5db0b9a944ff2585214add1f711cee594c9e04b39eca189449cd

Observation 808ddf78-6dde-4ffe-b6df-14928e6084e7 · inbound

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection cites this paper.

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection BAM: Bottleneck Attention Module

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T22:50:06.389475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:06.389475Z digest=sha256:f4ba088c784502103cd7aaa2a0e6265430b6a5bf91d05f58ab6d0a53728f97a2

Observation 67dbbf55-0e8f-4366-93f1-4cd48e9466af · inbound

Hybrid Swin Attention Networks for Simultaneously Low-Dose PET and CT Denoising cites this paper.

Hybrid Swin Attention Networks for Simultaneously Low-Dose PET and CT Denoising BAM: Bottleneck Attention Module

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:36:44.530347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T18:33:26.497908Z digest=sha256:beb286895120849d9bd35d62de179ea65b448f3a2a1e3fe71fdc94edf3487a2a

Observation 30a2a2f8-6b5f-4b80-96e4-3067e459fa2b · inbound

ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment cites this paper.

ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment BAM: Bottleneck Attention Module

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T04:17:36.823667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T14:05:04.834108Z digest=sha256:c30cad572de6a50bd16918a325d78c310f5d35ee80b6afec286e80de2c3c246c

Observation fb6f9ef0-a19e-4f28-b433-bc77f78aa458 · inbound

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning cites this paper.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning BAM: Bottleneck Attention Module

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-08T08:44:45.948756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:a7b900e23e0549f54912457fd4b4911d4893e3471fe3ba9623cbff772f5c3e71

Observation 177c8de7-49f7-441a-9c2a-048c2be53d64 · inbound

Attention-Based Segmentation of WMHs and Differentiation of Vascular vs. Demyelinating Lesions cites this paper.

Attention-Based Segmentation of WMHs and Differentiation of Vascular vs. Demyelinating Lesions BAM: Bottleneck Attention Module

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:57:03.225225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T11:56:56.461654Z digest=sha256:11f41384e930062d8b8221b5c119d7dc85e77502b7ab63ab27078e36f72f6545