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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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raw_fallback, observed 2026-08-06T19:53:18.894680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:09.447108Z digest=sha256:14bc3a5a4d2b33b194fc72717d0b737549b3ce34f41b43f11ee476d686c3e106

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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raw_fallback, observed 2026-08-06T19:53:18.878257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:09.530411Z digest=sha256:89b8d3286818f8d1a57ed86eb6d255baeb33880dea7350f583f3c1f7b8cacc8c

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:a08e69c0e52a643e242511c0432a4dc1071f7fd95aa6f749484042e86981e2fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:09.724831Z digest=sha256:357f782da146eac78e97b88c03c859994fa65768385c551fd7fac5519b139b33

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=sha256:9d0e19c7719c49293205b6d3066c0eb9f824d716ba686740084d811b54f6dcad

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=sha256:09992e43fd821d8b64a854bcd6373dd3970175579d0f26f89f9c137afa21daf2

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.025079Z digest=sha256:83671fae896906a4563ddd8cfd03b0622167902eb674dfcdfe07ba5665b08a81

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:10.089993Z digest=sha256:b5f5c88d3d3bc4cbb07e8e57f693d0995572431edd7a439b4e9071dd2b3eeb8d

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.256213Z digest=sha256:fa4163e731c810200756cca5523ad916ce67c72e6fd064061923b41037846598

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.332833Z digest=sha256:d42b38c1d3a4201a04bede1d181c14cdb1503f4f54c8e1ebc9884513e57689f1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.401643Z digest=sha256:8ebe5a86bea8c6bd0080bfbe9d62e6e1f4347efa04432e1fe4bf34dd5faeb6a5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.471557Z digest=sha256:b9c75dfa3afc8466cd34472e292c577a85f2a07958965f813e5c74e03b7e34a5

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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source=pdf_text observed=2026-08-06T19:53:10.551923Z digest=sha256:207f13c3bc08b1d3110336266f10010ba841dd6ac1ab634480561245ef57a760

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 2026-08-08T06:32:00.761636+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.708011Z digest=sha256:def9ac21ffcca0730c6faef831fa71a3e9f8834df48c0ea89d3595d951977bbc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.789930Z digest=sha256:1dbd5e461e9b71c8daa56a95498aa22af083c172dd0fe443dd5c3815c08a7738

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.869032Z digest=sha256:74de4b8475d3138f9452bbfe14af96f146132580a4380ce09c3fb6e29fdc1c7c

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:10.942244Z digest=sha256:039c9e71e0572c318de9b95a886eea87f6069414428ddbdc0c99acf390d34818

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:11.018496Z digest=sha256:8cd02d07732e951976fe66692cfea7bfa0f0d32d00fc49a7dae897dc08af50e6

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.096668Z digest=sha256:8e0c759311b575f429a3c2fd37faee6472488a441f4558326990335b19d517d7

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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local_arxiv, observed 2026-08-06T19:53:14.953914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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:c7f5e65fcbf534512c7b5f214276cd843d3dea9b0573a807b294978717106727

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:11.408650Z digest=sha256:b46a4365402f945846303f9dd4688c493c151f927e9e4a425859d633a6f1c0bc

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=sha256:6df98ca4351f8f89d075f14e58c98c20d05800acac2337880a1d612bb6803afd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:11.583910Z digest=sha256:3f24097827b7f16207b9bd8ab62aed39448af4b03f8a9a19317b288e1ab770ea

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.652490Z digest=sha256:abab255d86c1433c983625925eba296880600cfcab43fe5ecafb6f806924db8a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:11.735153Z digest=sha256:0af7b37eb3d0e0851def93f9f00b8c85f652f22bc5de513740c731971282c232

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=sha256:58299a211587905020b3af408c4bdcae5458b5b0260764f4921b9ed35f0c447b

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:11.923708Z digest=sha256:6a13746e04d23d2ef63d9d291f747b4539d96e6b120a689730f26efffcdab323

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:fd4aaf68b34674ca2f64b49508b6e72aa83dc479e5f70e7d7eebcdb568f7533a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.089824Z digest=sha256:ebe9d9a9e4cca7bcf8318ffa9874aababef7220ee945cacd912b0448bd384209

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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unresolved
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=sha256:8cf114e07196448959eb1cb780933fb0ddfd5da0e163396645e87da14a8e86e8

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.268044Z digest=sha256:b2b24b5bf16d41e186b75df202de3de2a2f4f07a5e86ac13016a487f94cf1f36

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.349132Z digest=sha256:a4c0b4702b804986673cbfd8e78282facd290c9647a7e9471460042f8da56088

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.440665Z digest=sha256:bf54fd5fdea6691d40be2c7036c9ad37a283cf21dcc530afd1dc74900d644fbb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.547267Z digest=sha256:717b03f7e5f334d53e0cef487d1f345f4938b0702706dd9460c9b8a255d5f1fd

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.612548Z digest=sha256:42b14f7a085290fbb46db33f3dfa325922b6085d25090509e356c1c96f117b29

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.726858Z digest=sha256:26d6080d0a658d8734f51718719a564014f80c545d6bde78ebdb5ad5f13634b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:12.796132Z digest=sha256:4a0137b45d22ff10cf06b14365230895ea32cbb3eeb5a818ef8a5b65a6024512

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:d9106208c6776aa498691dd66395ab2066b1452892235dcd4b1ad9ffdc6d886b

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:a4cca0e91881ddbab96247a27422544eb7e4f221e57cb9ae165e97d305a83f0b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.066313Z digest=sha256:56bd4bcbee981ade13e430e88a8901a538c3ac18c1e05b1424fa7bc9ca7a0f6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.214717Z digest=sha256:0283259bf07a821e81ac76219d3491004d3078bdda0a3ea0d9e9224819352bcf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.289547Z digest=sha256:abc5134171f53249644153b8bbd289be8ea232a80682297c2c38a3efa68dcb90

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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.369423Z digest=sha256:14ac5d0807839cc77c24d7cfb8458ceaac8a5ae6b5dfec19c5d1090e44cd8155

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.466501Z digest=sha256:7f1c2c035448fc7422b5769158b14439d74391f5bfbf5fceb182f6cc2ad4d570

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=sha256:662c54d0c08de3a18441b2d7909d6ea878278fc18426dc5c5f66b2fad172e004

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.690171Z digest=sha256:a8ded9e84bc9a9d4a87b59d15ca960881b45e6bbf1eb4da7445cae799b4d19c7

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:ee6b1aa1ac38da6d5d1a5dcf68edc5a7cd610c55d639f7fae3811a75d5eed085

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.867817Z digest=sha256:d649a9a2cd9860c5722ddc267f42923293c0b8cf4fc506c2c881b5b5a166925d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:13.938984Z digest=sha256:fd7605c6205b8cdfc2961fedd69bcaba6884c18093f89c17208a752faf45ec10

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=sha256:65f6d133ef4d747272a06fd580540bc1ee0042eac1d0065df2cf6ab4b927cfca

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=sha256:8af23f1707c9b951cde86f6e560a92eff71ba02c038a0ce2607d80645db45eb6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:14.233935Z digest=sha256:3227971c648a9263281411e2d6427c0c1ca8590b7ee227326f5016ab4905b14b

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=sha256:60e9c185c942b231c082b77ce1faf4d7b41a107b5ef6e99b6f6be941f50aee70

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:14.565845Z digest=sha256:4ae86be0e05085f046536aa12133e72d4b50480dcccc2f1017db5471f9132590

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=sha256:82af2fefa37a33160fb736b4f3cc7e580a41000941eae2ef0616d8b5b68cd71c

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:f32845433cc6ec739fdcb9a1da5564ad76cacfbe65d1851e8f1062ccd50c052b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:14.364104Z digest=sha256:909935b65bc79b6351b9358a13227777bfa672f06e62de18511b0d4900bcf393

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T20:25:42.586436Z digest=sha256:d0ea18a65ead359486e1352c14367d62b157f6f5b1938b08f108049f757585ac