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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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
  • metadata mismatch0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:09.447108Z digest=sha256:0dc95f8124e4dbe55337cf18128bede10577a4f200424c803257de7783e72b13

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:09.530411Z digest=sha256:835c6434f7d23f542a8da356cccf291b2c542e0630aa5161cb18dcbca0991f48

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:09.637466Z digest=sha256:c1108e6b99ef91e932b012996d03c3617097440b88a3b4006f55371f96e17e73

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:09.724831Z digest=sha256:34d31bb45bbe20a9c2a19de71d882c5a51768892be169b9e2806b324319eebf9

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:09.830520Z digest=sha256:1f82de226f54232a6130a5e0bba0bf172d8fa68208100b9763bac1e34ff12132

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:09.916242Z digest=sha256:b9c77758f412ad5659ce92ef8e97359df0650a1984fdc2d9d4adc9514ef22c6c

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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raw_fallback, observed 2026-08-06T19:53:18.853166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.256213Z digest=sha256:d2321cacc0688d7f446ac38bd8067cfe68ec1e0ba5b3d87e69cca134edb9b6df

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

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raw_fallback, observed 2026-08-06T19:53:18.835904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.332833Z digest=sha256:86d584c088ae4eb71e0517e8a022ea6be721f4b7cf9bdf644e248cb4641f736b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.401643Z digest=sha256:b1612a4896e450c774b6f9948202ca3926fafd60e0dbf71003701bbc3fae5983

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.471557Z digest=sha256:eed045aabe919abd5878dce3c5e1e77e4fc5ccf7f9fe8ff23b798589a1493035

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:10.551923Z digest=sha256:d2a086a35b4a35415dab4fe1c0c58d418643e6fd7422997f3993ea6efbbe0ad6

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.627212Z digest=sha256:de5d001c02c07787703ffec2e5db91fd65372c3b23ddec7e2a3f091116d448a5

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.708011Z digest=sha256:7bf676b1c88e52220df186ecb196e48035c147ad164a29bae825b3e05a84f396

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

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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 2026-08-16T06:30:59.297886+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.869032Z digest=sha256:aae75f5e9f0ea6c2e320112f6f67a85b01c4c3b0993a7d8715a8c76f12557f3d

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:10.942244Z digest=sha256:74180c6921e8b9e8b60dcbf9539a4c2aa7e0c2695ccae6cc5c30ffe1e1c6dd7c

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

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raw_fallback, observed 2026-08-06T19:53:18.761995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.096668Z digest=sha256:300c4ea8bd6051fd20091dae02178f0ea936be90f9e92f6ca9ee437e7991f128

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

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.303213Z digest=sha256:a379c3661fe2c7c9e0cbb019bed2cd49ecd8dcba17592f4c17d8f72ccb272bd8

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:11.408650Z digest=sha256:a47f4e9dcd578aee2ab103e3dc678708295ef14cbeeb47154cbf57f570205628

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.510879Z digest=sha256:5c08f2b31b746139d185526c2a6c0722ba5dae0226e689def3058e8070ac7698

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

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raw_fallback, observed 2026-08-06T19:53:18.734728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:11.583910Z digest=sha256:30a1294af6ba4509ad36abf6a2266092867aa0de8d02ac88982fff7cb0389d27

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.652490Z digest=sha256:51ae127ab53ab91e4503c335cfa13b69bf88e545a2508005d9c5cef0a8598e10

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:11.735153Z digest=sha256:85c68e51744812f2a943744de186f74b9ef27e513ce29604b463a071f7251dfc

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.829048Z digest=sha256:dff66a51bdd796df166584871de388a68ea82527160a63f8d37e1f60dd3b2ee0

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:11.923708Z digest=sha256:20f7b4dd5192a452f7c745692255759069503b7cb22bcc3bca29fd00cf560133

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:12.002104Z digest=sha256:b1e21a99a1329b267d3fcaf97c56495bed5f4a1290f39275a87f64bd0b2a895d

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.089824Z digest=sha256:9c31db502c881049351c49b9c0446ba959fd152c65a40a90eec71dfb282a3145

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:12.171269Z digest=sha256:a983003a9594ade6ec727f32d88c522abba3e3e6d26a6ecd639890b42583ed80

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.268044Z digest=sha256:467e82a8ac7eb6ff65c01fa5d7ef2a0e881ac90614baabab0897bda7015d0c1a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.349132Z digest=sha256:e2d9e4f14c753fa757626644aca2c7855dea431a9f9bf5a19a88e3c8f4422899

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.440665Z digest=sha256:951fd5b0114ef1de984b2c291ba7f1bfe75b76d8316dcedd5c6ebfbb2013c58d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.547267Z digest=sha256:1498797536082a660554b16d2f4564ad2eba50ff528ba049a4572da4f8c8cee5

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

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raw_fallback, observed 2026-08-06T19:53:17.545273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.612548Z digest=sha256:305327a8065f782413f91bb27cd0a389ee78ed03bfe887d0b8b170fc6d7ebce5

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.726858Z digest=sha256:91e981472f092f94c25ffcac6531e10d964e3d01c3e43083bcf2bfaa3cb56d6e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:12.796132Z digest=sha256:d98463a2c27d2c991b4d8ff7633df93b20c5e4192d2b73eb93785aa0b87d9976

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:12.898689Z digest=sha256:7b61674a30e048c908d84bdab80604da8c8b2baa27f4cee745c8889d8af7b76d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:12.972858Z digest=sha256:c08f9441f114d8ade7c45661aca5ed4cb02fcfc3feffe3b2a1c5cee7c57e4fc2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.066313Z digest=sha256:f28e55e9583f18d563b6b757d9b00f8ed523e47a94f02af2ebb6b843988a6f11

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.214717Z digest=sha256:1dbad4bc08bd30de455d4c87e056b0ed1d63d64257c54b079454a8835529f295

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.289547Z digest=sha256:884c1ca4ed2198ca3e745a1f552f7c4197c503216c536b154c682f1fdc99f025

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

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raw_fallback, observed 2026-08-06T19:53:15.795826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.369423Z digest=sha256:1c5d409272eabd12da280b41a86157faa3395ddfd34eebf39683ea85601aed5a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.466501Z digest=sha256:d89308849baa8ca40d8a3c905cf053cca503d92085f651030acc496e5e1a097e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:13.556322Z digest=sha256:d4c92c0b4daaf08a6afc99d4c163d3418e02af40b468691fb3989071e3c5711e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.690171Z digest=sha256:5289db72f5bd3ccae5c260846a06437f5a4cc61aa9d4ba6c865386eb39e4f03c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:13.765739Z digest=sha256:f7f7af8fabefc3020e1421741aabfc11e57153d3c6aa2c8e3098914cfb4a6291

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.867817Z digest=sha256:aae848e8ec0ef264f11bec35f6b8d6518b62133778a6c35e2a87d4bf2e54eebe

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:13.938984Z digest=sha256:6b0b40ff1189757df62105bf2fe501dd7ad4133484e34824a31a30bd53139a62

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:14.040375Z digest=sha256:7266393dbc0468db3f67fe3c1c3238b4940319170b15e0cf33831d44b7390d1f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:14.138432Z digest=sha256:4a1cad82a1d29afa70c08cf203fefad43142d9c291aafcb974e15e783498e30e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:14.233935Z digest=sha256:b72dc953e84b1ae1841c0ae6a7e83362329ec15140351383b6b1718e8eeedfc3

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.

source=pdf_text observed=2026-08-06T19:53:14.470889Z digest=sha256:edb9b8fb1c647432a06f7ae42f64ca5a94285400751077f1e516d0dd61945b85

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:14.565845Z digest=sha256:d3fd192955e3936507c981f66ed08b7593d039311775e8a57ec2afa3a8ff4d9a

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.

source=pdf_text observed=2026-08-06T19:53:14.633463Z digest=sha256:b352d64d18f48212a2d71cd7214bc892e5f7d74c882a75017e9a122be04f51c4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:14.686363Z digest=sha256:331da95437b077c66ebd3b1c87e9e61a9b53315ad520ca24e3ced37f667458ff

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T19:53:14.364104Z digest=sha256:5c0d1ddcdb296f5d55b4c7c68d89d06a7e99afc26d6b7268735ff766fbb70197

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T20:25:42.586436Z digest=sha256:52099209bfa27d9a979aea1224b12a95e7b07dcaac12b314fd8a143cfd852934