Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:45:30.868808Z
Paper Citation Record · LEDGER
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections
As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2508.20955.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
47 of 47 outbound references displayed
- verified exact1
- verified fuzzy30
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f9482762-c029-42d8-a6b0-1fd84b05f3b9 · outbound
This paper cites Back- propagation applied to handwritten zip code recognition.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Back- propagation applied to handwritten zip code recognition
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.320644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 42952b25-24d5-4584-8c9c-b9ca785260f6 · outbound
This paper cites Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.728286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6652efb5-7d9a-4958-b830-c7fbe6fae04c · outbound
This paper cites Deep residual learning for image recognition.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Deep residual learning for image recognition
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.731342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b019cf3-8e34-4500-a4cb-dc1d779ff18b · outbound
This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Efficientnet: Rethinking model scaling for convolutional neural networks
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.735539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28a23ebd-cbd9-43b2-a07e-f7e012c861b4 · outbound
This paper cites At- tention is all you need.Advances in neural information processing systems, 30, 2017.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections At- tention is all you need.Advances in neural information processing systems, 30, 2017
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.738619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bea85eb-ac8e-4a97-b494-96eb0bb0f69e · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.741921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25c22196-75bf-4bde-8ab9-8d4288afaa5c · outbound
This paper cites A convnet for the 2020s.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections A convnet for the 2020s
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.745574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd290ba1-e7d3-4641-a31e-4758e952cb52 · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.748506Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 866e1711-199c-4a81-a5de-2b91934e11d5 · outbound
This paper cites Swintransformer:Hierarchicalvision transformerusingshiftedwindows.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Swintransformer:Hierarchicalvision transformerusingshiftedwindows
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.281026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bdff1478-8a1f-4827-9ab9-7830c7f6d5eb · outbound
This paper cites Imagenet large scale visual recognition challenge.Internationaljournalofcomputervision ,115(3):211–252, 2015.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Imagenet large scale visual recognition challenge.Internationaljournalofcomputervision ,115(3):211–252, 2015
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.271184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9f11736e-7bbe-40bf-9c41-d195ffe1be5f · outbound
This paper cites Semantic understanding of scenes through the ade20k dataset.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Semantic understanding of scenes through the ade20k dataset
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.261487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd19954c-aa38-40c2-995b-4d9cc41a867c · outbound
This paper cites Mi- crosoftcoco:Commonobjectsincontext.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Mi- crosoftcoco:Commonobjectsincontext
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.251301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 21860653-dd81-4ae3-9c44-49f8e6ae28cd · outbound
This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Mobilenetv2: Inverted residuals and linear bottlenecks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.240996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 548c2ada-4733-449f-8f1e-d5bf5729b5f2 · outbound
This paper cites Searching for mobilenetv3.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Searching for mobilenetv3
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.767516Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f10645-c9ae-4b2d-bef3-4a46897e897b · outbound
This paper cites Run, don’t walk: chasing higher flops for faster neural networks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Run, don’t walk: chasing higher flops for faster neural networks
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.225031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08bb6f3d-8618-4438-9db7-d3f32bdc5a6c · outbound
This paper cites Cspnet: A new backbone that can enhance learning capability of cnn.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Cspnet: A new backbone that can enhance learning capability of cnn
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.773333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d100fe98-fa75-451c-8137-0891764ef0d5 · outbound
This paper cites Shuf- flenet:Anextremelyefficientconvolutionalneuralnetworkformobile devices, 2017.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Shuf- flenet:Anextremelyefficientconvolutionalneuralnetworkformobile devices, 2017
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.209109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e15c4357-b287-4f1b-8f1b-502a3db5a309 · outbound
This paper cites Shuf- flenet:Anextremelyefficientconvolutionalneuralnetworkformobile devices.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Shuf- flenet:Anextremelyefficientconvolutionalneuralnetworkformobile devices
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.199732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d0d8c65f-3ae0-4389-a047-e98739d8aac7 · outbound
This paper cites In International conference on machine learning, pages 10096–10106.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections In International conference on machine learning, pages 10096–10106
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.190511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6d58da77-a354-4e5d-af61-f23c9d18374c · outbound
This paper cites Densely connected convolutional networks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Densely connected convolutional networks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.181151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eb7cbd91-5599-4806-8cdf-c59cad7842b3 · outbound
This paper cites Aggregatedresidualtransformationsfordeepneuralnetworks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Aggregatedresidualtransformationsfordeepneuralnetworks
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.171849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58ed5617-5384-468d-b559-f83a813671fb · outbound
This paper cites Squeeze-and-excitationnetworks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Squeeze-and-excitationnetworks
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.162410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 23e5f1f4-564e-454c-9347-068a1b9b133b · outbound
This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Eca-net: Efficient channel attention for deep convolutional neural networks
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.152994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bbf08187-0b07-43d9-8e03-2c63de002da0 · outbound
This paper cites Global second-order pooling convolutional networks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Global second-order pooling convolutional networks
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.142773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f6f77fbb-06a8-4c37-b04a-038ef39255ea · outbound
This paper cites Srm: A style- based recalibration module for convolutional neural networks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Srm: A style- based recalibration module for convolutional neural networks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.132557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 43c11c41-1450-4145-8341-789481a90a07 · outbound
This paper cites Fcanet: Frequency channel attention networks.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Fcanet: Frequency channel attention networks
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.121953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 985da56a-71b5-4f5d-9435-ac95762f49bd · outbound
This paper cites BEiT: BERT Pre-Training of Image Transformers.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections BEiT: BERT Pre-Training of Image Transformers
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.808283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5504e1bb-6ede-46eb-ba25-12bc776b35e8 · outbound
This paper cites Batch renormalization: Towards reducing minibatch dependence in batch-normalized models.Advances in neural infor- mation processing systems, 30, 2017.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Batch renormalization: Towards reducing minibatch dependence in batch-normalized models.Advances in neural infor- mation processing systems, 30, 2017
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.112059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 654ff665-cfb2-4e71-85d7-cb3e1062e5fa · outbound
This paper cites Centermask: Real-time anchor- free instance segmentation.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Centermask: Real-time anchor- free instance segmentation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.101382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2452ea62-3506-4e89-9a84-c7f571713244 · outbound
This paper cites Original approach for the localisation of objects in images.IEE Proceedings- Vision, Image and Signal Processing, 141(4):245–250, 1994.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Original approach for the localisation of objects in images.IEE Proceedings- Vision, Image and Signal Processing, 141(4):245–250, 1994
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.091068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation acb625ee-db64-4711-a112-28eb8b9ff70b · outbound
This paper cites Decoupled Weight Decay Regularization.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Decoupled Weight Decay Regularization
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.821879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69113330-6b3e-464e-961e-c2c0fb30a63a · outbound
This paper cites Randaugment:Practicalautomateddataaugmentationwithareduced search space.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Randaugment:Practicalautomateddataaugmentationwithareduced search space
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.080249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2eb4581a-853e-4d19-bb09-b0c7b8c228e7 · outbound
This paper cites mixup: Beyond Empirical Risk Minimization.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections mixup: Beyond Empirical Risk Minimization
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.827447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0206a4d-4b22-4375-8083-7b3721245a8d · outbound
This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Cutmix: Regularization strategy to train strong classifiers with localizable features
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.830436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9328e8d8-5486-45a8-bc34-d51c98e5aa82 · outbound
This paper cites Random erasing data augmentation.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Random erasing data augmentation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.063936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b4e84dca-8d5d-4a98-86f0-2b3e99cdb85b · outbound
This paper cites Rethinking the inception architecture for computer vision.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Rethinking the inception architecture for computer vision
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.054288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f01092ee-e6b5-4d1d-8f16-0704652ffcaf · outbound
This paper cites Ghostnet: More features from cheap operations.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Ghostnet: More features from cheap operations
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.044502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7b934e42-c92b-4e8e-baf2-520625f03345 · outbound
This paper cites Shuf- flenetv2:Practicalguidelinesforefficientcnnarchitecturedesign.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Shuf- flenetv2:Practicalguidelinesforefficientcnnarchitecturedesign
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.034274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 07d5e589-b6d0-4cc1-92a5-ddb0e84e1b5c · outbound
This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.844559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f66f47c-e238-4dec-8457-36e75a028983 · outbound
This paper cites Edgenext: efficiently amalgamated cnn-transformer archi- tecture for mobile vision applications.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Edgenext: efficiently amalgamated cnn-transformer archi- tecture for mobile vision applications
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.023015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b31f56d8-c0e2-49f0-bfa2-cb46dd378c68 · outbound
This paper cites Rewrite the stars.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Rewrite the stars
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.012996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8bfd7371-fcab-491c-8bd0-13845fa1cdbc · outbound
This paper cites CycleMLP: A MLP-like Architecture for Dense Prediction.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections CycleMLP: A MLP-like Architecture for Dense Prediction
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.853193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 893b9478-4149-4d1e-a23f-5e8e311152e9 · outbound
This paper cites Metaformer is actually what F Wang et al.:Preprint submitted to Elsevier Page 12 of 13 E-ConvNeXt you need for vision.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Metaformer is actually what F Wang et al.:Preprint submitted to Elsevier Page 12 of 13 E-ConvNeXt you need for vision
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:31.002311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5e46d772-c85e-4c2b-82a8-628e004630b4 · outbound
This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without con- volutions.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Pyramid vision transformer: A versatile backbone for dense prediction without con- volutions
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:30.992208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 91f2696b-3286-470b-ada5-42ac11db8e32 · outbound
This paper cites A Dataset And Benchmark Of Underwater Object Detection For Robot Picking.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections A Dataset And Benchmark Of Underwater Object Detection For Robot Picking
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:45:30.907510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 10c949ab-840d-4c4e-b0c3-52ff50fcc5f8 · outbound
This paper cites PP-YOLOE: An evolved version of YOLO.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections PP-YOLOE: An evolved version of YOLO
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:45:30.865679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 801bc52e-2deb-442b-90ff-fda2e8dd6fa7 · outbound
This paper cites Yolov10: Real-time end-to-end object detection.Advances in Neural Information Processing Systems, 37:107984–108011, 2024.
E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections Yolov10: Real-time end-to-end object detection.Advances in Neural Information Processing Systems, 37:107984–108011, 2024
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:45:30.981743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.