Paper Citation Record · LEDGER

Deformable Mamba for Wide Field of View Segmentation

As of 13 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 4 inbound Pith citation observations for arXiv:2411.16481.

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

pith.paper-citation-record.v1
2411.16481 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:06:35.606135Z

measured 80 of 80 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:53:07.326199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T20:03:56.687356Z

Reference resolution

76 of 76 outbound references displayed

verified exact2
verified fuzzy42
unresolved31
parse uncertain1
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72172909-abbc-4c6c-a548-7b8ca6fc6c7b · outbound

This paper cites Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

Deformable Mamba for Wide Field of View Segmentation Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.231919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3cd30f5-87e5-4960-9f26-6eb4a931050c · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

Deformable Mamba for Wide Field of View Segmentation Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.373338Z

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.

Observation 7dfdf7d1-3b43-41e4-8b9f-02466e09ad75 · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

Deformable Mamba for Wide Field of View Segmentation Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.240826Z

Source-reported events for the cited work

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Observation d02c72a5-7538-4f84-9323-06c34e8eea9c · outbound

This paper cites Rsmamba: Remote sens- ing image classification with state space model.

Deformable Mamba for Wide Field of View Segmentation Rsmamba: Remote sens- ing image classification with state space model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.361925Z

Source-reported events for the cited work

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Observation c0df0306-1b09-4163-b2ca-9a57a6ce84c6 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

Deformable Mamba for Wide Field of View Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.350703Z

Source-reported events for the cited work

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Observation 42c3052e-d827-414d-9b8e-42d659cc62a2 · outbound

This paper cites CycleMLP: A MLP-like Architecture for Dense Prediction.

Deformable Mamba for Wide Field of View Segmentation CycleMLP: A MLP-like Architecture for Dense Prediction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.252298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfb19ac4-44da-4dc1-be05-75c51cfe99aa · outbound

This paper cites Cyclemlp: A mlp-like architecture for dense visual predictions.

Deformable Mamba for Wide Field of View Segmentation Cyclemlp: A mlp-like architecture for dense visual predictions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.255850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c5bc58-b74a-4cd9-9a0a-003613210798 · outbound

This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.

Deformable Mamba for Wide Field of View Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.333655Z

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.

Observation 8c728bd8-78e5-49f9-8a49-414ecb2485fc · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.

Deformable Mamba for Wide Field of View Segmentation Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.323229Z

Source-reported events for the cited work

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Observation d4be4445-10b3-40e6-b2b5-0655a4b93f47 · outbound

This paper cites Per- pixel classification is not all you need for semantic segmen- tation.

Deformable Mamba for Wide Field of View Segmentation Per- pixel classification is not all you need for semantic segmen- tation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.264569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df740f0-7487-4c39-8414-beb5c8b6a232 · outbound

This paper cites Deformable convolutional networks.

Deformable Mamba for Wide Field of View Segmentation Deformable convolutional networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.307690Z

Source-reported events for the cited work

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Observation 8dbcc046-eba0-407f-a2fc-df0ef7354470 · outbound

This paper cites Restricted deformable convolution-based road scene semantic segmentation using surround view cam- eras.

Deformable Mamba for Wide Field of View Segmentation Restricted deformable convolution-based road scene semantic segmentation using surround view cam- eras

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.298116Z

Source-reported events for the cited work

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Observation 4051a41c-b74d-40ea-8791-f8d9b83962c8 · outbound

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

Deformable Mamba for Wide Field of View Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e20b1c-3a32-4ca0-a504-8d5d04ef8565 · outbound

This paper cites Carla: An open urban driv- ing simulator.

Deformable Mamba for Wide Field of View Segmentation Carla: An open urban driv- ing simulator

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.279091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fd7d544-424d-4860-835e-5af30d94f527 · outbound

This paper cites Tangent images for mitigating spherical distortion.

Deformable Mamba for Wide Field of View Segmentation Tangent images for mitigating spherical distortion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.280851Z

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.

Observation 5612b076-1561-49da-bb90-599695226de8 · outbound

This paper cites Dual attention network for scene seg- mentation.

Deformable Mamba for Wide Field of View Segmentation Dual attention network for scene seg- mentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.286200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b09d86d-d779-4bfc-a517-f2da544f3855 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Deformable Mamba for Wide Field of View Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.290500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e9b7a2d-f699-4464-9a14-b3b70ce0268f · outbound

This paper cites Multi-scale high-resolution vision transformer for se- mantic segmentation.

Deformable Mamba for Wide Field of View Segmentation Multi-scale high-resolution vision transformer for se- mantic segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.263452Z

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.

Observation fc94b182-15ff-4064-9ca0-700bca762a09 · outbound

This paper cites Dynamic task prioritization for multitask learning.

Deformable Mamba for Wide Field of View Segmentation Dynamic task prioritization for multitask learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.253597Z

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.

Observation 7ba82fa4-34fc-415d-ad84-3349a45bd25b · outbound

This paper cites Segnext: Rethink- ing convolutional attention design for semantic segmenta- tion.

Deformable Mamba for Wide Field of View Segmentation Segnext: Rethink- ing convolutional attention design for semantic segmenta- tion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.242964Z

Source-reported events for the cited work

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Observation f31a3bb9-7c43-4ccd-a418-036f3cc5d6d8 · outbound

This paper cites Single frame se- mantic segmentation using multi-modal spherical images.

Deformable Mamba for Wide Field of View Segmentation Single frame se- mantic segmentation using multi-modal spherical images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.232352Z

Source-reported events for the cited work

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Observation 3e58c55c-84d9-429e-ac12-7b190c616c96 · outbound

This paper cites Deep residual learning for image recognition.

Deformable Mamba for Wide Field of View Segmentation Deep residual learning for image recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.308235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a563e63b-de0b-44c3-94ad-1b034f880d5f · outbound

This paper cites ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Deformable Mamba for Wide Field of View Segmentation ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.311913Z

Source-reported events for the cited work

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Observation 091f7902-3137-4d33-ab54-c51680538a4c · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

Deformable Mamba for Wide Field of View Segmentation LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.315624Z

Source-reported events for the cited work

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Observation 9ce5e4a0-7620-4968-aeb5-b383dd1d7fc4 · outbound

This paper cites Ccnet: Criss-cross attention for semantic segmentation.

Deformable Mamba for Wide Field of View Segmentation Ccnet: Criss-cross attention for semantic segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.319869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 230b0508-ae9c-42ce-b663-6104919c932b · outbound

This paper cites Panoramic panoptic segmentation: Towards complete sur- rounding understanding via unsupervised contrastive learn- ing.

Deformable Mamba for Wide Field of View Segmentation Panoramic panoptic segmentation: Towards complete sur- rounding understanding via unsupervised contrastive learn- ing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.209236Z

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.

Observation 73af63de-63ef-4065-9eca-352d2fce0a13 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.

Deformable Mamba for Wide Field of View Segmentation Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.326823Z

Source-reported events for the cited work

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Observation bfb12d6c-2597-4a42-bf84-fbd141f55129 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Deformable Mamba for Wide Field of View Segmentation Imagenet classification with deep convolutional neural net- works

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.330531Z

Source-reported events for the cited work

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Observation ff242144-c2a3-47de-9d28-3957a881604a · outbound

This paper cites Omnidet: Surround view cameras based multi-task visual perception network for autonomous driv- ing.

Deformable Mamba for Wide Field of View Segmentation Omnidet: Surround view cameras based multi-task visual perception network for autonomous driv- ing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.185914Z

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.

Observation 91f95b12-c9b6-4d7f-9e96-d60d91046bf7 · outbound

This paper cites VideoMamba: State Space Model for Efficient Video Understanding.

Deformable Mamba for Wide Field of View Segmentation VideoMamba: State Space Model for Efficient Video Understanding

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.337073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e8c432-9adb-4d68-8c6e-2d2e325761bc · outbound

This paper cites SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation.

Deformable Mamba for Wide Field of View Segmentation SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.340149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda74d4b-b18c-40a0-b1b2-f900699c2e43 · outbound

This paper cites Ct- net: Context-based tandem network for semantic segmenta- tion.

Deformable Mamba for Wide Field of View Segmentation Ct- net: Context-based tandem network for semantic segmenta- tion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.174514Z

Source-reported events for the cited work

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Observation 805fde6f-b0bf-44df-ae21-a06b64d357db · outbound

This paper cites Covariance attention for semantic segmentation.

Deformable Mamba for Wide Field of View Segmentation Covariance attention for semantic segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.163677Z

Source-reported events for the cited work

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Observation 6511eefd-16c9-4e7a-911d-b54adc61be4e · outbound

This paper cites VMamba: Visual State Space Model.

Deformable Mamba for Wide Field of View Segmentation VMamba: Visual State Space Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.348653Z

Source-reported events for the cited work

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Observation 2290a70b-b6b7-4217-916a-7c09e1282716 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Deformable Mamba for Wide Field of View Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.355376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e4d20a-6ccc-4453-8f4f-b001a8c09d71 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Deformable Mamba for Wide Field of View Segmentation Fully convolutional networks for semantic segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.358753Z

Source-reported events for the cited work

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Observation a9264d9a-d3e9-4809-b4d6-6b2cb50d7a82 · outbound

This paper cites De- formable convolution based road scene semantic segmenta- tion of fisheye images in autonomous driving.

Deformable Mamba for Wide Field of View Segmentation De- formable convolution based road scene semantic segmenta- tion of fisheye images in autonomous driving

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.133859Z

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.

Observation 480de709-6fcf-4f80-b114-810fcce08115 · outbound

This paper cites Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation.

Deformable Mamba for Wide Field of View Segmentation Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.366451Z

Source-reported events for the cited work

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Observation 0b6d763b-96eb-414e-b890-efed4d419b4b · outbound

This paper cites Seman- tic segmentation using transfer learning on fisheye images.

Deformable Mamba for Wide Field of View Segmentation Seman- tic segmentation using transfer learning on fisheye images

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.123926Z

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.

Observation f7454338-7ac4-4c47-b36d-1fb2e0d6d01d · outbound

This paper cites Fish- segssl: A semi-supervised semantic segmentation frame- work for fish-eye images.

Deformable Mamba for Wide Field of View Segmentation Fish- segssl: A semi-supervised semantic segmentation frame- work for fish-eye images

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.114453Z

Source-reported events for the cited work

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Observation bd1160b6-2db7-40b7-a0ce-e1872d3909c6 · outbound

This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

Deformable Mamba for Wide Field of View Segmentation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.377263Z

Source-reported events for the cited work

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Observation d8eac57b-03a3-48d4-a04a-754da2cbf435 · outbound

This paper cites Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems.

Deformable Mamba for Wide Field of View Segmentation Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:06:35.701244Z

Source-reported events for the cited work

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Observation 822834e2-52c3-44ad-9319-ee0188487870 · outbound

This paper cites Fusionnet: A deep fully residual convo- lutional neural network for image segmentation in connec- tomics.

Deformable Mamba for Wide Field of View Segmentation Fusionnet: A deep fully residual convo- lutional neural network for image segmentation in connec- tomics

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.103529Z

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.

Observation ea5fbce7-4776-475e-b997-a48f2ff945cc · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Deformable Mamba for Wide Field of View Segmentation U- net: Convolutional networks for biomedical image segmen- tation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.388837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd8db31-6dc5-49d9-9f19-13e6c1466518 · outbound

This paper cites Synwoodscape: Synthetic surround-view fisheye camera dataset for autonomous driving.

Deformable Mamba for Wide Field of View Segmentation Synwoodscape: Synthetic surround-view fisheye camera dataset for autonomous driving

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.086289Z

Source-reported events for the cited work

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Observation ce0c9042-1d89-4961-9dab-9a2e569eef2e · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.

Deformable Mamba for Wide Field of View Segmentation Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.396550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2a3277-d506-48f3-8ed5-8d65e6532a11 · outbound

This paper cites Segmenter: Transformer for semantic segmenta- tion.

Deformable Mamba for Wide Field of View Segmentation Segmenter: Transformer for semantic segmenta- tion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.066787Z

Source-reported events for the cited work

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Observation 2aae2fec-b3de-482e-b46c-2d3437738644 · outbound

This paper cites Hohonet: 360 indoor holistic understanding with latent horizontal fea- tures.

Deformable Mamba for Wide Field of View Segmentation Hohonet: 360 indoor holistic understanding with latent horizontal fea- tures

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.403962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d290563e-800a-489a-b2f3-d5560c5b141a · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

Deformable Mamba for Wide Field of View Segmentation Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.049709Z

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.

Observation 6074990b-4d41-4435-aae8-d1047fa1537f · outbound

This paper cites 360bev: Panoramic semantic mapping for indoor bird’s-eye view.

Deformable Mamba for Wide Field of View Segmentation 360bev: Panoramic semantic mapping for indoor bird’s-eye view

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.039051Z

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.

Observation 3b1c4071-ef13-4c24-88b2-b13d5ae28cdc · outbound

This paper cites Attention is all you need.

Deformable Mamba for Wide Field of View Segmentation Attention is all you need

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.520934Z

Source-reported events for the cited work

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Observation 3093c450-1291-45d8-ab49-d9382f8b5f90 · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

Deformable Mamba for Wide Field of View Segmentation Pvt v2: Improved baselines with pyramid vision transformer

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.021734Z

Source-reported events for the cited work

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Observation 44f5b717-821f-4f0e-a575-2b151ad8d97a · outbound

This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.

Deformable Mamba for Wide Field of View Segmentation Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.011332Z

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.

Observation 85af49b4-c9c9-44e4-acb3-f0e5601e1f80 · outbound

This paper cites Unified perceptual parsing for scene understand- ing.

Deformable Mamba for Wide Field of View Segmentation Unified perceptual parsing for scene understand- ing

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:36.000964Z

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.

Observation cc460209-30bd-4493-bceb-948c7c2b700b · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.

Deformable Mamba for Wide Field of View Segmentation Segformer: Simple and efficient design for semantic segmentation with transform- ers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.991733Z

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.

Observation 75993d12-f613-49dc-ac87-860236d85369 · outbound

This paper cites Efficient deformable convnets: Rethinking dynamic and sparse operator for vision applications.

Deformable Mamba for Wide Field of View Segmentation Efficient deformable convnets: Rethinking dynamic and sparse operator for vision applications

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.980473Z

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.

Observation 581cc1be-351b-48e8-b6e8-dcd8e30bbdb1 · outbound

This paper cites MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation.

Deformable Mamba for Wide Field of View Segmentation MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:06:35.685322Z

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.

Observation aa586047-9564-4666-8dff-9aed63f1de90 · outbound

This paper cites PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

Deformable Mamba for Wide Field of View Segmentation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.544812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f13c5187-8768-46e1-890e-c68d399a24a5 · outbound

This paper cites Can we pass beyond the field of view? panoramic annular semantic segmentation for real-world surrounding perception.

Deformable Mamba for Wide Field of View Segmentation Can we pass beyond the field of view? panoramic annular semantic segmentation for real-world surrounding perception

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.969608Z

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.

Observation 2b083b4e-0352-4890-9354-174929f070ce · outbound

This paper cites Pass: Panoramic annular semantic seg- mentation.

Deformable Mamba for Wide Field of View Segmentation Pass: Panoramic annular semantic seg- mentation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.958412Z

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.

Observation 63221f28-e180-41c2-a065-bb5c0580232a · outbound

This paper cites Vivim: a Video Vision Mamba for Medical Video Segmentation.

Deformable Mamba for Wide Field of View Segmentation Vivim: a Video Vision Mamba for Medical Video Segmentation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.556109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eda3d1a-39a9-4d95-a4d7-0b469650f1ef · outbound

This paper cites Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving.

Deformable Mamba for Wide Field of View Segmentation Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.947578Z

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.

Observation f9c72d86-5a87-4703-b0d0-a706add59cf7 · outbound

This paper cites Ocnet: Object context for seman- tic segmentation.

Deformable Mamba for Wide Field of View Segmentation Ocnet: Object context for seman- tic segmentation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.936575Z

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.

Observation 087ff6a7-5670-4251-8e26-8ab61d096649 · outbound

This paper cites Bending reality: Distortion-aware transformers for adapting to panoramic se- mantic segmentation.

Deformable Mamba for Wide Field of View Segmentation Bending reality: Distortion-aware transformers for adapting to panoramic se- mantic segmentation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.925019Z

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.

Observation e5df1ceb-cedc-4090-a5d6-a013b9c6c54c · outbound

This paper cites Behind every domain there is a shift: Adapting distortion-aware vision transformers for panoramic semantic segmentation.

Deformable Mamba for Wide Field of View Segmentation Behind every domain there is a shift: Adapting distortion-aware vision transformers for panoramic semantic segmentation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.913664Z

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.

Observation e657431f-da4f-4009-b643-dd58d6253b18 · outbound

This paper cites Motion mamba: Efficient and long sequence motion generation.

Deformable Mamba for Wide Field of View Segmentation Motion mamba: Efficient and long sequence motion generation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.902627Z

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.

Observation 8e48dca2-66f9-42ee-8db3-da4bd12d0015 · outbound

This paper cites Materobot: Material recognition in wearable robotics for people with visual impairments.

Deformable Mamba for Wide Field of View Segmentation Materobot: Material recognition in wearable robotics for people with visual impairments

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.892686Z

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.

Observation d3e504b4-7920-4853-9d3a-b5b4fc62eab8 · outbound

This paper cites Open panoramic segmentation.

Deformable Mamba for Wide Field of View Segmentation Open panoramic segmentation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.882846Z

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.

Observation 64ae126b-a55a-4189-aa05-4d41ea2e9e01 · outbound

This paper cites Rethinking semantic segmen- tation from a sequence-to-sequence perspective with trans- formers.

Deformable Mamba for Wide Field of View Segmentation Rethinking semantic segmen- tation from a sequence-to-sequence perspective with trans- formers

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.586430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c53118-922a-41df-8f93-713dafe8e835 · outbound

This paper cites Semantics distortion and style matter: Towards source-free uda for panoramic segmentation.

Deformable Mamba for Wide Field of View Segmentation Semantics distortion and style matter: Towards source-free uda for panoramic segmentation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.867498Z

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.

Observation 7ad4d82c-a4bb-4f81-a2f8-009d89d6f27b · outbound

This paper cites Complementary bi-directional fea- ture compression for indoor 360deg semantic segmentation with self-distillation.

Deformable Mamba for Wide Field of View Segmentation Complementary bi-directional fea- ture compression for indoor 360deg semantic segmentation with self-distillation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.856636Z

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.

Observation 529097a8-2f77-493d-9015-e3a4d3efcbbe · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Deformable Mamba for Wide Field of View Segmentation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.597029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97d48c3-4500-416b-9408-058588f677b6 · outbound

This paper cites Samba: Semantic seg- mentation of remotely sensed images with state space model.

Deformable Mamba for Wide Field of View Segmentation Samba: Semantic seg- mentation of remotely sensed images with state space model

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.846009Z

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.

Observation 4e42676a-8a02-42aa-983f-77aff57cdcb2 · outbound

This paper cites De- formable convnets v2: More deformable, better results.

Deformable Mamba for Wide Field of View Segmentation De- formable convnets v2: More deformable, better results

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:06:35.834318Z

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.

Observation b9abda1a-5454-4cf0-9f91-3ce0094c4115 · outbound

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

Deformable Mamba for Wide Field of View Segmentation Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T13:06:35.606135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57660e1e-640f-4f2f-a500-11638148d886 · outbound

This paper cites an unresolved cited work.

Deformable Mamba for Wide Field of View Segmentation Unresolved cited work

Reference 2024

Resolution: parse uncertain; no resolver link, observed 2026-08-12T13:06:35.352218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e9cbe1e1-5b61-4cdf-b484-e61102ac6541 · inbound

More than the Sum: Panorama-Language Models for Adverse Omni-Scenes cites this paper.

More than the Sum: Panorama-Language Models for Adverse Omni-Scenes Deformable Mamba for Wide Field of View Segmentation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:00:02.877033Z

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.

Observation ef139859-4748-4315-b0f5-a4c14ca5805b · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Deformable Mamba for Wide Field of View Segmentation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.690570Z

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.

Observation 1c427092-741e-4ae6-a17f-85704acfc8e4 · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Deformable Mamba for Wide Field of View Segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T09:58:49.383667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529df281-5550-4508-a948-ef0e4a899458 · inbound

SeqLoc: Beyond the Single Frame for Cross-View Geo-Localization in Feature-Sparse Scenes cites this paper.

SeqLoc: Beyond the Single Frame for Cross-View Geo-Localization in Feature-Sparse Scenes Deformable Mamba for Wide Field of View Segmentation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:07.326199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.