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Paper Citation Record · LEDGER

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.17869.

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

pith.paper-citation-record.v1
2506.17869 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

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measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 4ec4e793-3f1a-4f05-97a7-063c781103af · outbound

This paper cites Caltech aerial rgb-thermal dataset in the wild,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Caltech aerial rgb-thermal dataset in the wild,

Reference 1

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Observation 4e132e19-b7d3-4f18-ac53-1e6d55d8b1fd · outbound

This paper cites Contrastive learning-based knowledge distillation for RGB-thermal urban scene semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Contrastive learning-based knowledge distillation for RGB-thermal urban scene semantic segmentation,

Reference 2

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Observation ce0e2eec-152b-4579-87f6-d41e34d61a3a · outbound

This paper cites GMNet: Graded- feature multilabel-learning network for RGB-thermal urban scene semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation GMNet: Graded- feature multilabel-learning network for RGB-thermal urban scene semantic segmentation,

Reference 3

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Observation f69c0ab2-d91b-4c75-b0bd-e2f585e00229 · outbound

This paper cites Multilevel attention imitation knowl- edge distillation for rgb-thermal transmission line detection,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Multilevel attention imitation knowl- edge distillation for rgb-thermal transmission line detection,

Reference 4

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Observation e1ceab8d-05b4-4cf3-bae1-0e39fe0681bc · outbound

This paper cites Attention is all you need,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Attention is all you need,

Reference 5

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Observation 43155c5c-0fa0-4dad-bfe5-41fcba4087be · outbound

This paper cites Transferring prior thermal knowledge for snowy urban scene semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Transferring prior thermal knowledge for snowy urban scene semantic segmentation,

Reference 6

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Observation 12052c93-54f4-4af3-9d1d-bce48ecba693 · outbound

This paper cites MMSMCNet: Modal mem- ory sharing and morphological complementary networks for RGB-T urban scene semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation MMSMCNet: Modal mem- ory sharing and morphological complementary networks for RGB-T urban scene semantic segmentation,

Reference 7

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Observation b580a32c-ea99-40c6-85cd-b66fc35de6e7 · outbound

This paper cites CMX: Cross-modal fusion for RGB-X semantic segmentation with transform- ers,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation CMX: Cross-modal fusion for RGB-X semantic segmentation with transform- ers,

Reference 8

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Observation db16d836-fe50-4996-8ec9-9f1142bba411 · outbound

This paper cites Delivering arbitrary-modal semantic segmenta- tion,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Delivering arbitrary-modal semantic segmenta- tion,

Reference 9

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Observation e8c83939-8119-4f04-b1a1-c3d94f07ed9d · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Combining recurrent, convolutional, and continuous-time models with linear state space layers,

Reference 10

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Source-reported events for the cited work

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Observation 3ab9c081-7fee-4b11-90e6-e963bccdc59a · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

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Observation 1fbefabb-ca4b-4425-a050-6fc1c7673eb2 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 12

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Observation b90eb3a3-7293-49a2-8a8a-09833ccbdfd1 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Simplified State Space Layers for Sequence Modeling

Reference 13

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Observation 2144bac3-b7bc-4879-a9aa-d390091455d4 · outbound

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

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 14

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Observation 5d871c03-07d8-4462-978d-7475f15e4399 · outbound

This paper cites Vmamba: Visual State Space Model,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Vmamba: Visual State Space Model,

Reference 15

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Observation 43e06b95-5bb5-4a7d-acc7-7d0f81e10498 · outbound

This paper cites MDNet: Mamba-effective diffusion- distillation network for RGB-thermal urban dense prediction,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation MDNet: Mamba-effective diffusion- distillation network for RGB-thermal urban dense prediction,

Reference 16

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Observation c455beb8-ab15-4b1b-a38a-6340b211e0c3 · outbound

This paper cites Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba,

Reference 17

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Observation 5e1b47ef-2b4d-4321-a755-63f3f70dd996 · outbound

This paper cites Fusionmamba: Efficient remote sensing image fusion with state space model,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Fusionmamba: Efficient remote sensing image fusion with state space model,

Reference 18

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Observation 502fe86d-e322-42f5-93e2-3778eced61f4 · outbound

This paper cites Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

Reference 19

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Observation 6c96d0b8-a874-4bea-8d8f-8f9453ba6a23 · outbound

This paper cites MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,

Reference 20

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Observation 70088109-c9df-43b1-834f-ca09b2586b27 · outbound

This paper cites Pst900: Rgb-thermal calibration, dataset and segmenta- tion network,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Pst900: Rgb-thermal calibration, dataset and segmenta- tion network,

Reference 21

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Observation dedfb4f2-251c-4f19-8aba-316f7c5725d1 · outbound

This paper cites Multispectral fusion transformer network for RGB-thermal urban scene semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Multispectral fusion transformer network for RGB-thermal urban scene semantic segmentation,

Reference 22

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Observation bd42d306-ed51-4037-912e-73aeba8944f1 · outbound

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

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 23

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Observation 307e79fd-e561-4605-a1fa-05144c10de25 · outbound

This paper cites Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model

Reference 24

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Observation 3bace99f-9dcc-429c-8a9b-70eb724bf585 · outbound

This paper cites Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,

Reference 25

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Observation 85fbe7e4-ffe9-4906-9af7-50a5e2b1706a · outbound

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

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 26

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Observation dd0c5f7d-75fc-4fbd-9346-c26500f5829e · outbound

This paper cites Explicit attention-enhanced fusion for RGB-thermal perception tasks,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Explicit attention-enhanced fusion for RGB-thermal perception tasks,

Reference 27

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Observation a92497e1-a047-4b7c-89fa-17329ecf6b59 · outbound

This paper cites Sgfnet: semantic-guided fusion net- work for rgb-thermal semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Sgfnet: semantic-guided fusion net- work for rgb-thermal semantic segmentation,

Reference 28

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Source-reported events for the cited work

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Observation 6e5f02f4-97d6-4cc6-8eed-772be28288a3 · outbound

This paper cites EGFNet: Edge-aware guidance fusion network for RGB–thermal urban scene parsing,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation EGFNet: Edge-aware guidance fusion network for RGB–thermal urban scene parsing,

Reference 29

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Observation 46181450-174a-42de-b0ff-eec750257bda · outbound

This paper cites SFAF-MA: Spatial fea- ture aggregation and fusion with modality adaptation for RGB-thermal semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation SFAF-MA: Spatial fea- ture aggregation and fusion with modality adaptation for RGB-thermal semantic segmentation,

Reference 30

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Observation 3ee98415-4c36-4a8c-9bf6-63398a8ef680 · outbound

This paper cites Semanticrt: A large-scale dataset and method for robust semantic segmentation in multispectral images,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Semanticrt: A large-scale dataset and method for robust semantic segmentation in multispectral images,

Reference 31

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Observation 7c5fd530-7796-4f9c-91eb-8c8a6c5ccc4c · outbound

This paper cites Complementary random masking for RGB-thermal semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Complementary random masking for RGB-thermal semantic segmentation,

Reference 32

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Observation 4e6272a4-1472-4afd-be67-d864dbe2a33f · outbound

This paper cites Context-aware interaction network for rgb-t semantic segmentation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation Context-aware interaction network for rgb-t semantic segmentation,

Reference 33

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Source-reported events for the cited work

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Observation 696074c2-3654-42e9-8568-073b29a9d667 · outbound

This paper cites DBCNet: Dynamic bilateral cross-fusion network for RGB-T urban scene understanding in intelli- gent vehicles,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation DBCNet: Dynamic bilateral cross-fusion network for RGB-T urban scene understanding in intelli- gent vehicles,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:36.760208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T23:27:36.070652Z digest=sha256:f7090f3474002004dceeb268725cd089497d0d4e8e0b4b3ee470898f8f69f40d

Observation 8f36b025-ffc6-4f8d-9ff8-a11c68692037 · outbound

This paper cites C 4Net: Excavating Cross-modal Context-and Content-Complementarity for RGB-T Semantic Segmen- tation,.

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation C 4Net: Excavating Cross-modal Context-and Content-Complementarity for RGB-T Semantic Segmen- tation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:36.524777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T23:27:36.165270Z digest=sha256:4f50ab0a5fda0e95f8a76806179752d7c81c312bd5404f810549dd3550f56cc9

Pith citing papers

No inbound Pith citation observations are available.