MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking | Paper Citation Record

Observation a6581c63-6da7-4362-99d1-cb7d782d3f99 · outbound

This paper cites Longformer: The Long-Document Transformer.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Longformer: The Long-Document Transformer

Reference 1

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Observation 9dd2fb2c-8096-4ff5-8b7e-265da37e7d88 · outbound

This paper cites Fully-convolutional siamese networks for object tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Fully-convolutional siamese networks for object tracking

Reference 2

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Observation f30c6986-6c06-491d-bba9-9abdf184baf0 · outbound

This paper cites Learning discriminative model prediction for track- ing.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Learning discriminative model prediction for track- ing

Reference 3

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Observation f49a0f57-6910-4181-98a0-74b4532cca80 · outbound

This paper cites Transformer tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Transformer tracking

Reference 4

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Observation 4fa9e11a-d20c-4404-9ed7-5cb8ec8c3479 · outbound

This paper cites Mixformer: End-to-end tracking with iterative mixed atten- tion.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Mixformer: End-to-end tracking with iterative mixed atten- tion

Reference 5

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Observation 8bf97ae4-53ba-42ea-9ff9-6ee8b80dcc12 · outbound

This paper cites Eco: Efficient convolution operators for tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Eco: Efficient convolution operators for tracking

Reference 6

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Observation 8181d726-7c28-4ac5-ba72-9e7dc704893d · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single ob- ject tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Lasot: A high-quality benchmark for large-scale single ob- ject tracking

Reference 7

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Observation ae09d6b5-30dd-4372-b1ab-ebb5e54f4606 · outbound

This paper cites Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers

Reference 8

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Observation 57470215-477e-40d7-8267-55067c18dacb · outbound

This paper cites Real-time visual object tracking with natural lan- guage description.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Real-time visual object tracking with natural lan- guage description

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.134905Z

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Observation 1d6ea254-fd70-4f8e-a343-e45693357589 · outbound

This paper cites Siamese natural language tracker: Tracking by natural lan- guage descriptions with siamese trackers.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Siamese natural language tracker: Tracking by natural lan- guage descriptions with siamese trackers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.125997Z

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Observation c14e1255-552f-4572-9c2e-41e5d40f1dc2 · outbound

This paper cites Hungry hungry hippos: To- wards language modeling with state space models.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Hungry hungry hippos: To- wards language modeling with state space models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.117325Z

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Observation 52ba6913-936f-46bb-a3c9-ababb534a261 · outbound

This paper cites Stmtrack: Template-free visual tracking with space-time memory networks.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Stmtrack: Template-free visual tracking with space-time memory networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.108752Z

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Observation d65da1bc-3c72-46a5-91ba-83adef6e77eb · outbound

This paper cites Generalized relation modeling for transformer tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Generalized relation modeling for transformer tracking

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.100081Z

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Observation 6c3e1075-1a27-40e2-98df-385da687db40 · outbound

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

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 14

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Observation b2a870ee-c7f5-4644-89be-513fbf5718b2 · outbound

This paper cites Efficiently mod- eling long sequences with structured state spaces.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Efficiently mod- eling long sequences with structured state spaces

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.092058Z

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Observation 0609f4d3-4151-49de-90ff-1cbec8a71231 · outbound

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

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 16

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Observation af42b50c-e536-4b5c-87b0-7f2cc8fa3c63 · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking On the parameterization and initialization of diagonal state space models

Reference 17

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Observation fdfa493b-397c-484d-987b-d830f387c830 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Mambair: A simple baseline for image restoration with state-space model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:20:01.601871Z

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Observation 0d24d2ca-49b5-4a07-b55b-8a9bd4a5197d · outbound

This paper cites Divert more attention to vision-language tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Divert more attention to vision-language tracking

Reference 19

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Observation 300d66d5-3d69-4d8d-b254-b7218fe9d833 · outbound

This paper cites Demystify Mamba in Vision: A Linear Attention Perspective.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Demystify Mamba in Vision: A Linear Attention Perspective

Reference 20

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Observation 61d363e2-8650-4f9c-95e8-a155e8b296c8 · outbound

This paper cites MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 21

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Observation 028492ef-d463-4afc-ba58-9a768c3584ca · outbound

This paper cites High-speed tracking with kernelized correlation fil- ters.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking High-speed tracking with kernelized correlation fil- ters

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.059423Z

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Observation a9d49dbb-20d5-4d17-a7dd-1e83c68e2e12 · outbound

This paper cites A multi-modal global instance tracking benchmark (mgit): Better locating target in complex spatio-temporal and causal relationship.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking A multi-modal global instance tracking benchmark (mgit): Better locating target in complex spatio-temporal and causal relationship

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.050178Z

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Observation e66ed6a9-f12e-40a1-a5f3-72b75b7224a4 · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Got-10k: A large high-diversity benchmark for generic object tracking in the wild

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.040139Z

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Observation abcc008d-4975-4f85-9c1e-529f71ce5104 · outbound

This paper cites High performance visual tracking with siamese region pro- posal network.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking High performance visual tracking with siamese region pro- posal network

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:20:01.623287Z

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Observation 5c9d99d7-0374-4249-81a0-f8ac8f4ecec4 · outbound

This paper cites Siamrpn++: Evolution of siamese vi- sual tracking with very deep networks.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Siamrpn++: Evolution of siamese vi- sual tracking with very deep networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.025986Z

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Observation 5adcd7d7-0fd3-4c44-b089-585491d537f2 · outbound

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

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking VideoMamba: State Space Model for Efficient Video Understanding

Reference 27

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Observation 6099526f-d93d-4be3-9c6d-dfc03239752e · outbound

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

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model

Reference 28

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Observation 728fedc6-303c-4b87-8af9-30e0d4c51114 · outbound

This paper cites Cross- modal target retrieval for tracking by natural language.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Cross- modal target retrieval for tracking by natural language

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.015505Z

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Observation 98df1291-0654-4c4d-8b92-b1f54915966c · outbound

This paper cites Tracking by natural language specification.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Tracking by natural language specification

Reference 30

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Observation 74d970e1-2326-4893-9a36-9d851db40bcc · outbound

This paper cites MTMamba: Enhancing multi-task dense scene understanding by mamba-based de- coders.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking MTMamba: Enhancing multi-task dense scene understanding by mamba-based de- coders

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:02.001461Z

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Observation 48b519f6-27a5-4f43-9076-c2abea571e20 · outbound

This paper cites Swintrack: A simple and strong baseline for trans- former tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Swintrack: A simple and strong baseline for trans- former tracking

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.990328Z

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Observation 355e5ee0-c2b1-4e87-bbc8-c4bc297017de · outbound

This paper cites VMamba: Visual State Space Model.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking VMamba: Visual State Space Model

Reference 33

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Observation e81b9aad-2ddc-401f-8b03-9df689d56cad · outbound

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

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Swin transformer: Hierarchical vision transformer using shifted windows

Reference 34

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Observation deeb7364-25fe-410e-acb3-bb29b85d01db · outbound

This paper cites Unifying visual and vision-language tracking via contrastive learning.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Unifying visual and vision-language tracking via contrastive learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.974955Z

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Observation f99182f9-a5e9-4931-ac73-4f59d7fab7da · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Generation and comprehension of unambiguous object descriptions

Reference 36

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Observation dd85b160-767a-490e-8d47-3020cd2b1f7e · outbound

This paper cites Long Range Language Modeling via Gated State Spaces.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Long Range Language Modeling via Gated State Spaces

Reference 37

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Observation 4df67e8a-c9ff-485c-84fa-4dbe85e2776f · outbound

This paper cites Learning multi-domain convolutional neural networks for visual tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Learning multi-domain convolutional neural networks for visual tracking

Reference 38

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Observation fd97c461-71e7-4c1e-9049-546836d36abb · outbound

This paper cites Context-aware integration of lan- guage and visual references for natural language tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Context-aware integration of lan- guage and visual references for natural language tracking

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.951243Z

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Observation c7707fe5-cfa6-46e8-8e09-f698e646a1e9 · outbound

This paper cites Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model

Reference 40

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Observation bb2cd656-518e-4d52-a50a-1f91343ffbc7 · outbound

This paper cites Simplified state space layers for sequence model- ing.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Simplified state space layers for sequence model- ing

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.943019Z

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Observation 8163d3bf-69a2-445d-b2aa-6a7fca3820d6 · outbound

This paper cites Fast template matching and update for video object tracking and segmentation.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Fast template matching and update for video object tracking and segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.934590Z

Source-reported events for the cited work

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Observation 9ab72c60-ba61-4856-b2c4-d80099f52fe2 · outbound

This paper cites Transformer meets tracker: Exploiting temporal context for robust visual tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Transformer meets tracker: Exploiting temporal context for robust visual tracking

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.925530Z

Source-reported events for the cited work

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Observation fae2b7b6-ed6c-4e61-8012-98bcb3e3d0c4 · outbound

This paper cites Towards more flexible and accurate object tracking with natural language: Algo- rithms and benchmark.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Towards more flexible and accurate object tracking with natural language: Algo- rithms and benchmark

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.917419Z

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Observation 4bb6b9a7-8050-43c3-ae9a-b1f873567280 · outbound

This paper cites MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:20:01.690659Z

Source-reported events for the cited work

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Observation 9f4d9c95-edb4-4d2e-a23e-7baea397b7cd · outbound

This paper cites Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.908175Z

Source-reported events for the cited work

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Observation dc204745-316b-43b0-a1c7-3439150e22c1 · outbound

This paper cites Learning dynamic mem- ory networks for object tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Learning dynamic mem- ory networks for object tracking

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.899060Z

Source-reported events for the cited work

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Observation 40b3d93b-bb3d-4665-8ac0-c45c2f0b7d2c · outbound

This paper cites Grounding-tracking-integration.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Grounding-tracking-integration

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.890476Z

Source-reported events for the cited work

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Observation 4db2eb79-5d11-4566-9d97-bfd2b92375f5 · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.881755Z

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 7c4f2322-1be1-4234-8f7c-a0e7b4b8c8c2 · outbound

This paper cites Object track- ing: A survey.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Object track- ing: A survey

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.872687Z

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Observation f97e2aee-3c2f-4b43-b45f-d1a3edcd877b · outbound

This paper cites VFIMamba: Video Frame Interpolation with State Space Models.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking VFIMamba: Video Frame Interpolation with State Space Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:20:01.709076Z

Source-reported events for the cited work

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Observation d9af8241-1c4c-4c1b-be10-4e786bb577cd · outbound

This paper cites Learn to match: Automatic matching network design 10 for visual tracking.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Learn to match: Automatic matching network design 10 for visual tracking

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.863568Z

Source-reported events for the cited work

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Observation f064469c-6e1b-4b67-9fad-8a97627fa7df · outbound

This paper cites Joint visual grounding and tracking with natural language specifi- cation.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Joint visual grounding and tracking with natural language specifi- cation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.854384Z

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Observation 4f811161-bb32-43ac-906e-2f40a87e6f66 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model.

MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:20:01.845324Z

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