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Paper Citation Record · LEDGER

Quotient Network -- A Network Similar to ResNet but Learning Quotients

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.00992.

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

pith.paper-citation-record.v1
2506.00992 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:20.366455Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

44 of 44 outbound references displayed

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  • unresolved30
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External citation measurements

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Outbound references

Observation 75095e8e-3669-4003-b0c8-69dac8952ba4 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Imagenet classification with deep convolutional neural networks,

Reference 1

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Observation 98892334-7f79-4bd7-93a6-48371f456241 · outbound

This paper cites You only look once: Unified, real-time object detection,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients You only look once: Unified, real-time object detection,

Reference 2

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Observation 4e305d8c-b4f0-44f3-b3e2-ec89436c196d · outbound

This paper cites Fast r-cnn,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Fast r-cnn,

Reference 3

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Observation 2b4440aa-f298-41e4-9d9c-d5488088a180 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmenta- tion,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients U-net: Convolutional networks for biomedical image segmenta- tion,

Reference 4

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Observation f0d7af2f-24f8-4798-a779-99043d1b504e · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 5

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Observation 9ea2cf76-eb0e-4c6f-887d-134459af5907 · outbound

This paper cites Going deeper with convolutions,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Going deeper with convolutions,

Reference 6

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Observation 52e194b3-6882-44e0-bb29-4839da45a3d0 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Understanding the difficulty of training deep feedforward neural networks,

Reference 7

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Observation c0377874-a0dc-41d9-bc1a-a42d3d559f38 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 8

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Observation 373418f5-77b9-4f60-bf79-96b7b0e3d5fb · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 9

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Observation 07809ed7-4299-4839-be54-090c8615908e · outbound

This paper cites Deep residual learning for image recognition,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Deep residual learning for image recognition,

Reference 10

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Observation fb2526be-38bd-479f-b512-4cca1458d573 · outbound

This paper cites Visualizing and understanding convolutional networks,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Visualizing and understanding convolutional networks,

Reference 11

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Observation c06dd7a0-0589-491f-b4cf-f71bfd15aac4 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Learning multiple layers of features from tiny images,

Reference 12

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Observation a59c7648-e99b-42fd-a7bf-bc2e253e6ce5 · outbound

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Quotient Network -- A Network Similar to ResNet but Learning Quotients Unresolved cited work

Reference 13

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Observation 90014373-70e9-4ea2-8617-4d59b1475437 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Reading digits in natural images with unsupervised feature learning,

Reference 14

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Observation b383d8e0-e087-4472-b17c-01fb0846f8df · outbound

This paper cites Squeeze-and-excitation networks,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Squeeze-and-excitation networks,

Reference 15

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Observation 4ecaeb3e-48d4-4906-907f-c7cd10137cc9 · outbound

This paper cites Cbam: Convolutional block attention module,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Cbam: Convolutional block attention module,

Reference 16

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Observation 9a0d97f0-c445-4bd1-9604-fdd9ee0e126e · outbound

This paper cites Attention is all you need,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Attention is all you need,

Reference 17

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Observation c7ec90fd-3451-4078-acde-33b4ff2313cc · outbound

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

Quotient Network -- A Network Similar to ResNet but Learning Quotients An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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Observation 3eece018-57e5-4c37-9eef-716466cdc62f · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Rethinking the inception architecture for computer vision,

Reference 19

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Observation 0460bc8c-ab03-42f8-bb7d-58917d90f281 · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Inception-v4, inception-resnet and the impact of residual connections on learning,

Reference 20

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Observation addf7468-f459-4f9a-9670-f6ed7b027c78 · outbound

This paper cites Densely connected convolutional networks,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Densely connected convolutional networks,

Reference 21

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Observation 1372071b-2a92-4be2-9233-a1be7392db55 · outbound

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

Quotient Network -- A Network Similar to ResNet but Learning Quotients Aggregated residual transformations for deep neural networks,

Reference 22

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Observation f70e6087-1c4a-44cd-854f-71ef0d232bd8 · outbound

This paper cites Feature pyramid networks for object detection,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Feature pyramid networks for object detection,

Reference 23

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Observation a1a64d76-5cdc-42f8-8489-1dbc29b15b7f · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Quotient Network -- A Network Similar to ResNet but Learning Quotients MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 24

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Observation 606ba524-6d28-4931-a547-e428ed9aa0c4 · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Shufflenet: An extremely efficient convolutional neural network for mobile devices,

Reference 25

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Observation 4e14b573-8ab6-4f69-8248-dabcfc7c5f6b · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Xception: Deep learning with depthwise separable convolutions,

Reference 26

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Observation 9f817438-df09-4948-ae09-78fcb530e369 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 27

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Observation 34730eaa-d8fb-4ea9-8b62-1eeaa3ba574d · outbound

This paper cites Long short-term memory,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Long short-term memory,

Reference 28

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Observation 7afe0fa6-1c86-4a7b-8a45-b8abc7ba8779 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 29

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Observation c69fdfbc-3005-4255-a08a-8ae38b2e367e · outbound

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Quotient Network -- A Network Similar to ResNet but Learning Quotients Global second-order pooling convolutional networks,

Reference 30

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Observation 2c209694-4664-4da0-b372-3785c5353610 · outbound

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Quotient Network -- A Network Similar to ResNet but Learning Quotients Fcanet: Frequency channel attention networks,

Reference 31

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Observation c007fa38-22a1-446d-88b4-fdc5b5587379 · outbound

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Quotient Network -- A Network Similar to ResNet but Learning Quotients Eca-net: Efficient channel attention for deep convolutional neural networks,

Reference 32

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

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

Reference 33

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Observation 91debbde-3fe1-4574-a0ac-03278876db31 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Training data-efficient image transformers & distillation through attention,

Reference 34

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Observation c6acc3ad-f94d-4883-8d16-5e4a56ad3b12 · outbound

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Quotient Network -- A Network Similar to ResNet but Learning Quotients Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 35

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Observation ce3f09b9-3319-4edc-a491-f013d1415874 · outbound

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Quotient Network -- A Network Similar to ResNet but Learning Quotients Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 36

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Observation fdb9e97d-88ff-4be0-8efc-ec4fad89196d · outbound

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Quotient Network -- A Network Similar to ResNet but Learning Quotients End-to-end object detection with transformers,

Reference 37

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Observation 6ffe0004-7287-4803-be81-18809b758dc1 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 38

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no resolver link, observed 2026-08-07T11:56:20.336519Z

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Observation fd29d327-9365-4146-bbb5-48586e625c98 · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Exploring plain vision transformer backbones for object detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:20.563900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2e04bfa2-ac3a-4390-81b0-c38791ec635f · outbound

This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 40

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unresolved
no resolver link, observed 2026-08-07T11:56:20.346434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:20.346434Z digest=sha256:dfc33b29fc079bf1711f0dd29a470d7255692793ed11a8c36fe57d9efe10eca0

Observation 63c8e4b4-b699-499e-97f5-0b8b95fc9a65 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Quotient Network -- A Network Similar to ResNet but Learning Quotients TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 41

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unresolved
no resolver link, observed 2026-08-07T11:56:20.350938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d81ebaf8-57da-4ad1-b941-1ca9a002e68f · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 42

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unresolved
no resolver link, observed 2026-08-07T11:56:20.356615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:20.356615Z digest=sha256:9f0720da48ac8a3039aa205f63eafa89baaf28f6f18e90caf00670e53e82d0a3

Observation e5a58431-a7b5-4164-a22c-9e55be2eb475 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines,.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Rectified linear units improve restricted boltzmann machines,

Reference 43

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malformed identifier
raw_fallback, observed 2026-08-07T11:56:20.529278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:20.360994Z digest=sha256:2e83d236f4d6470439c88cf30267ca133b5a1fb0795ab75bdc5e3aa6d911788f

Observation e167b794-2387-43c0-948a-9879d6b8beae · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Quotient Network -- A Network Similar to ResNet but Learning Quotients Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:20.512843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:20.366455Z digest=sha256:abbc5ea4426b0e38c1ec9777710b6278eaa114daba5e5069ff06de7053a78020

Pith citing papers

No inbound Pith citation observations are available.