Paper Citation Record · LEDGER

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection

As of 8 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2507.04369.

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

pith.paper-citation-record.v1
2507.04369 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:53:14.686363Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:25:42.586436Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:28:14.003631Z

Reference resolution

62 of 62 outbound references displayed

verified exact1
verified fuzzy39
unresolved21
parse uncertain1
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f6662d1-f0b1-409b-9fb1-0c68d88bb57c · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transform- ers.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Transfusion: Robust lidar-camera fusion for 3d object detection with transform- ers

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.902818Z

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Observation b3eda33e-46db-4c65-b891-c2923b029171 · outbound

This paper cites nuscenes: A mul- timodal dataset for autonomous driving.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection nuscenes: A mul- timodal dataset for autonomous driving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.894680Z

Source-reported events for the cited work

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Observation 918ff96f-d72b-43a5-a916-5e893c0b5e86 · outbound

This paper cites Objectfusion: Multi-modal 3d object detection with object-centric fusion.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Objectfusion: Multi-modal 3d object detection with object-centric fusion

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.886402Z

Source-reported events for the cited work

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Observation ba11ef17-a941-4e01-b82b-6e551b717d49 · outbound

This paper cites Deformable feature aggrega- tion for dynamic multi-modal 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Deformable feature aggrega- tion for dynamic multi-modal 3d object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.878257Z

Source-reported events for the cited work

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Observation 9d7e4252-0883-4157-a37c-9c2b82b87bc3 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:09.637466Z

Source-reported events for the cited work

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Observation 25832c21-008a-4fc5-ab7f-7423f0fa7915 · outbound

This paper cites Scaling up your kernels to 31x31: Revisiting large kernel design in cnns.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Scaling up your kernels to 31x31: Revisiting large kernel design in cnns

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.870098Z

Source-reported events for the cited work

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

Observation 125403d5-98a4-4724-9521-4a2e9b64c920 · outbound

This paper cites MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:09.830520Z

Source-reported events for the cited work

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Observation 54d53103-cb29-4991-9d86-45607897642e · outbound

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

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:09.916242Z

Source-reported events for the cited work

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Observation bd69ea9e-0b71-4a0a-8b07-820619c10aec · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Hippo: Recurrent memory with optimal polynomial projections

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.861609Z

Source-reported events for the cited work

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

Observation 89384ac7-8703-4a96-a1ee-47d4a7a0c8c5 · outbound

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

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:10.089993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73bdba02-4285-4e46-93a6-e9e8b20ed012 · outbound

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

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.853166Z

Source-reported events for the cited work

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Observation c6e30259-ae9a-4000-8f7f-db30f0fea1c5 · outbound

This paper cites Exploring recurrent long-term temporal fusion for multi-view 3d perception.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Exploring recurrent long-term temporal fusion for multi-view 3d perception

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.844718Z

Source-reported events for the cited work

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

Observation d9439a9e-a34a-4876-8d3f-56fa6e368f4f · outbound

This paper cites Demystify mamba in vision: A linear attention perspective.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Demystify mamba in vision: A linear attention perspective

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.835904Z

Source-reported events for the cited work

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Observation d9b3cf0c-60ed-4b3b-9b8e-2888831d88c6 · outbound

This paper cites Linear systems theory.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Linear systems theory

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.827413Z

Source-reported events for the cited work

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Observation d607fa31-21d6-4b92-a791-217b4235edf0 · outbound

This paper cites ¨Uber die stetige abbildung einer linie auf ein fl ¨achenst¨uck.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection ¨Uber die stetige abbildung einer linie auf ein fl ¨achenst¨uck

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.818961Z

Source-reported events for the cited work

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

Observation f64da63d-be82-48e0-8346-9666e1ad68fd · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:10.551923Z

Source-reported events for the cited work

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Observation 7666fd88-9d60-4a01-99dc-dff0a76bb92b · outbound

This paper cites Detecting as labeling: Rethinking lidar-camera fusion in 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Detecting as labeling: Rethinking lidar-camera fusion in 3d object detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.809908Z

Source-reported events for the cited work

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

Observation 2a04bb29-ff19-4133-bfad-f4d37ca6d1ce · outbound

This paper cites Ep- net: Enhancing point features with image semantics for 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Ep- net: Enhancing point features with image semantics for 3d object detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.800645Z

Source-reported events for the cited work

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

Observation 4f23ab82-31ed-4c0a-98c1-54eb27c4e775 · outbound

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

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Ccnet: Criss-cross attention for semantic segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.791294Z

Source-reported events for the cited work

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

Observation ffdf79af-83ba-4b15-9f15-22e7306640a6 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.782680Z

Source-reported events for the cited work

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

Observation 0700665b-cbb6-4471-8c00-10896ce05488 · outbound

This paper cites Unifying voxel-based representation with transformer for 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Unifying voxel-based representation with transformer for 3d object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.772298Z

Source-reported events for the cited work

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

Observation 12457271-c637-4fcf-b5e9-62b9056a74b6 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.761995Z

Source-reported events for the cited work

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Observation af440817-e787-45e5-9b47-0a8f4b2910f7 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 23

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Source-reported events for the cited work

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Observation 674bbf8f-07c0-4526-b06b-e071b4a92882 · outbound

This paper cites Pamba: Enhancing Global Interaction in Point Clouds via State Space Model.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Pamba: Enhancing Global Interaction in Point Clouds via State Space Model

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:14.953914Z

Source-reported events for the cited work

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Observation 7f0a26f2-b3d8-42d8-97db-043130919021 · outbound

This paper cites PointMamba: A Simple State Space Model for Point Cloud Analysis.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection PointMamba: A Simple State Space Model for Point Cloud Analysis

Reference 25

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Source-reported events for the cited work

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Observation d499cdd6-9c14-48e8-b165-0bf3619e20c5 · outbound

This paper cites Bevfusion: A simple and robust lidar-camera fusion framework.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Bevfusion: A simple and robust lidar-camera fusion framework

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.744328Z

Source-reported events for the cited work

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

Observation f74be71b-950a-4892-99a5-6ea0a36a8be1 · outbound

This paper cites Sparse4D v2: Recurrent Temporal Fusion with Sparse Model.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:11.510879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be20c57e-02c6-4105-9e58-82ba3a1fae3f · outbound

This paper cites Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.734728Z

Source-reported events for the cited work

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Observation 571a1690-a7c7-4193-a6ef-702b69feb4dd · outbound

This paper cites More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:11.652490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09423810-0bf1-4024-82fc-8cee9e03a053 · outbound

This paper cites Petr: Position embedding transformation for multi-view 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Petr: Position embedding transformation for multi-view 3d object detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.724495Z

Source-reported events for the cited work

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

Observation 14c1aef3-7d28-41c0-aa02-9f560bb4e501 · outbound

This paper cites VMamba: Visual State Space Model.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection VMamba: Visual State Space Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:11.829048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30564855-7d48-40a9-a30c-5f4d1463e3f7 · outbound

This paper cites Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.714261Z

Source-reported events for the cited work

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Observation 19471f13-bc9f-45c4-9ea3-c16dd9793ddc · outbound

This paper cites LION: Linear Group RNN for 3D Object Detection in Point Clouds.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection LION: Linear Group RNN for 3D Object Detection in Point Clouds

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:12.002104Z

Source-reported events for the cited work

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Observation 18bc27df-79e0-43ec-8307-eec5627dc91c · outbound

This paper cites A computer oriented geodetic data base and a new technique in file sequencing.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection A computer oriented geodetic data base and a new technique in file sequencing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.702836Z

Source-reported events for the cited work

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Observation fb343fee-f629-4058-acd6-411b63589528 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection RWKV: Reinventing RNNs for the Transformer Era

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:12.171269Z

Source-reported events for the cited work

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Observation 0e632b4d-be12-4b43-a7e0-b7dd714cb953 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.522881Z

Source-reported events for the cited work

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Observation 6a627866-d31c-43dd-8f68-0690606c7581 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.329048Z

Source-reported events for the cited work

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Observation 5a228dbd-265a-4465-ac0c-087fc790dca3 · outbound

This paper cites Hornet: Efficient high- order spatial interactions with recursive gated convolutions.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Hornet: Efficient high- order spatial interactions with recursive gated convolutions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.048395Z

Source-reported events for the cited work

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

Observation 858f5c2a-29cf-41aa-acdd-59fbe1c38feb · outbound

This paper cites Mvx- net: Multimodal voxelnet for 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Mvx- net: Multimodal voxelnet for 3d object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:17.850304Z

Source-reported events for the cited work

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

Observation 9debfaba-96c8-4afb-960d-7a1280d96484 · outbound

This paper cites Programming the hilbert curve.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Programming the hilbert curve

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:17.545273Z

Source-reported events for the cited work

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Observation da679020-337a-40fb-bbb8-0dede8ebf506 · outbound

This paper cites Cyclical learning rates for training neural networks.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Cyclical learning rates for training neural networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:17.201564Z

Source-reported events for the cited work

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Observation 7eb870da-14c1-4359-9d7b-25cea815a329 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Scalability in perception for autonomous driving: Waymo open dataset

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:16.901016Z

Source-reported events for the cited work

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

Observation 317ce2e2-864a-4ff1-bf14-881f6edc1828 · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Retentive Network: A Successor to Transformer for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:12.898689Z

Source-reported events for the cited work

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Observation 59d8c326-729c-40bc-86bf-bc6a0c18e512 · outbound

This paper cites Attention is all you need.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Attention is all you need

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:12.972858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef5e7103-c48d-4217-b0ee-3ce67db8b73e · outbound

This paper cites Pointpainting: Sequential fusion for 3d object detec- tion.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Pointpainting: Sequential fusion for 3d object detec- tion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:16.563580Z

Source-reported events for the cited work

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

Observation f8d501d3-dabd-4825-9681-7965ca879f8d · outbound

This paper cites Pointaugmenting: Cross-modal augmentation for 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Pointaugmenting: Cross-modal augmentation for 3d object detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:16.239092Z

Source-reported events for the cited work

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

Observation 06b85570-8dcb-4cb2-bb8d-37d5ba7ec5da · outbound

This paper cites Unitr: A unified and efficient multi-modal transformer for bird’s-eye-view repre- sentation.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Unitr: A unified and efficient multi-modal transformer for bird’s-eye-view repre- sentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.923502Z

Source-reported events for the cited work

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

Observation 32562089-f54a-4211-974f-4c55a113e51c · outbound

This paper cites Fcos3d: Fully convolutional one-stage monocular 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Fcos3d: Fully convolutional one-stage monocular 3d object detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.795826Z

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

Observation 08f7e123-d1bb-4518-8aac-fa82a448f49a · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Detr3d: 3d object detection from multi-view images via 3d-to-2d queries

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.705069Z

Source-reported events for the cited work

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

Observation fbb415a7-183c-459f-b530-3cc0e4b2e323 · outbound

This paper cites Cross Modal Transformer: Towards Fast and Robust 3D Object Detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:13.556322Z

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Observation b51d058b-fca2-428c-b25b-9ceb366b5b2c · outbound

This paper cites Deepinteraction: 3d object detection via modality interaction.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Deepinteraction: 3d object detection via modality interaction

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.609300Z

Source-reported events for the cited work

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

Observation 9c9e472f-a513-465d-8822-e336663b1030 · outbound

This paper cites FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:13.765739Z

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Observation 77982ee5-4dbc-4c28-841a-b15030ccf595 · outbound

This paper cites Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.515579Z

Source-reported events for the cited work

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

Observation 275af9c4-d8d0-46b8-b033-5515eea78abc · outbound

This paper cites Multi- modal virtual point 3d detection.NeurIPS, 34:16494–16507,.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Multi- modal virtual point 3d detection.NeurIPS, 34:16494–16507,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.407002Z

Source-reported events for the cited work

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

Observation 54c60ee1-ef19-4de8-9136-d2e0a4122abc · outbound

This paper cites DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:14.040375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecb23d19-0ebd-4b5f-b904-421e009781ce · outbound

This paper cites Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:14.138432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39a813a2-b4c6-4226-b0ad-12d31d7c576a · outbound

This paper cites Sparselif: High-performance sparse lidar- camera fusion for 3d object detection.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Sparselif: High-performance sparse lidar- camera fusion for 3d object detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.304703Z

Source-reported events for the cited work

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

Observation b412c986-ac72-4a6c-9323-97ddea2df1e3 · outbound

This paper cites Point Cloud Mamba: Point Cloud Learning via State Space Model.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:14.470889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552b7e19-2e9c-4b02-afdb-ec8f73d3b8ad · outbound

This paper cites Sparsefusion: Dis- tilling view-conditioned diffusion for 3d reconstruction.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Sparsefusion: Dis- tilling view-conditioned diffusion for 3d reconstruction

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.102869Z

Source-reported events for the cited work

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

Observation 1912f903-9a5e-4027-8bdd-1894ac35ae8c · outbound

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

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:14.633463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1476b1-5909-4e7a-9d00-cb6c438fe38c · outbound

This paper cites FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:14.686363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 945e92ee-c99c-4ea2-99fe-1b23910035df · outbound

This paper cites an unresolved cited work.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Unresolved cited work

Reference 128

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T19:53:15.207031Z

Source-reported events for the cited work

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

Pith citing papers

Observation e6c7cd6a-1b93-422b-9f1e-2d6dc46e8eaa · inbound

RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection cites this paper.

RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:28:14.004991Z

Source-reported events for the cited work

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