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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:09.530411Z digest=sha256:baec272e6deb06e61655b3f030b79a1fa9b55f9cabcf1000eea54d4f124199a4

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:cbc8dce0a9c77f1ade12105d492ca3f0287e9206fa481c76c14e673b93a6c26f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:09.724831Z digest=sha256:729d80c0e0107475b65290ea3a5084cf8bb04882dc4d2e37ad1e83e7cf613fff

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:09.830520Z digest=sha256:28b636916430d4e4907bbdcf998d685d76e2afe19ef377839642f9a11a45981a

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=sha256:0a8030247172bad8b11b4fde3228b977c1055d93501c0dde434d93f03ad62d98

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 2026-08-09T06:31:02.800959+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:10.089993Z digest=sha256:b639c0327efd2bea267dce3a4e5adc9f55f87d431f710d1c1d2e55d3fab8c955

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.173576Z digest=sha256:2f3adf6bdff32f4758c888226c05177e3f660e7a935ae5ccde3584cf635dc80f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.332833Z digest=sha256:27f1b02eef76cff51c42c018af1a20a9fbe1b942b3e4fd44ec09352dd2a9e2e2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.401643Z digest=sha256:ca71c1a9c4627d49161b9b84fe2346f7718c84fcb2fc5f05e1549e28617252af

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.471557Z digest=sha256:733098b02562ad35ac5c1831341903cc632ac4a3aae4157f0b79598e4a1a01ac

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=sha256:8b90fecb9238f9717f7173b4c14aa798a1fa875bf411aebaa8521fcd3fd9216d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.627212Z digest=sha256:93a0287498643159acb60528449d1bd870b8dbfc3285702752cb75bf1ad83cf0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.708011Z digest=sha256:56ff9e11f806252871193a8164ef05bdd87ef4c0743f74eac6b9349cdbe22984

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.869032Z digest=sha256:a971b4587872af68a82a1758aa799c9538f4c4915e7374977afcffc266ccf29a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:10.942244Z digest=sha256:afa6b499960d81d6698792032296d623004440e5cadb306f3c17d280bccdb27c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:11.018496Z digest=sha256:7ec5e547c70d178391cdde00aa6be0512e5a02359c4ecd7f315bd91075b52722

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=sha256:026d66d5d934336b4ea5f72e8781ce101bab84d2ae811d6e91ccd8ee85a90e66

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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=sha256:3a4ca4fb1896c0dc6f6ce50535c449c9bfc109088caf3faa3812e3a7a2edea3f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:11.408650Z digest=sha256:ab5499366713e6753aee2a0d130a886c7fd672df48637b5e02a9b7bb350f9169

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:a9a968d2dea12fbecb0916f9b4295f6847330aea71d1e0ddb36dec6b03fd2c11

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:11.583910Z digest=sha256:87f9f7c65af3bd1afcd32df02ad3521625296e39de64bad16e2ba6c0a9a3a570

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=sha256:9ed962d5bb93510b0b3c7db433cfe0c9b453fb05b409fb6478a1290a09ed54d5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:11.735153Z digest=sha256:ef7cfd9df943d8f16e46b423a712f014410f28bf9be33e197020c25a572bb7fb

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=sha256:22f7d4d150caa5dffa73d3cefed54864e50edb3b72a0c1b8a0d78326a7456868

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:11.923708Z digest=sha256:96a7dd7119483c3aa5bf1acfb6306a131a6f340f46017e59873c196fe8c93b16

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=sha256:324585a046b5633e629d5b75b5de175fb7e4e420a8f56292cf97bd0751888fe6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.089824Z digest=sha256:f30a9db4f676bb9cba7f8c4b4c6ef68c58be4596c824839d016e40702e06a387

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:e1e41a6b7d31df6cd97abc5d2f45623e8f65e0023f004f6f7809576edcae8cea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.268044Z digest=sha256:dd1a8d4157371e40d8b77fee85876b35a0182ef4c95d80c74301b3214ba754d7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.349132Z digest=sha256:36c083ba6fc1d59876fda558a5cc1baa6a25ea335c31c366d2901f3edaf6cd76

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.440665Z digest=sha256:bc78c23eb5f8a9fe4c8df53caa0c236ead410d84348988aa312b1ce1a940fd4a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.547267Z digest=sha256:ae18df6b96dba254e06cae23b97520c3bbf4d0c4cb7124b605d43b9ce5d60090

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.612548Z digest=sha256:bae51942d85d86b20d88869d0b9e12351cd51dc088d46855e49ee82bd4f293d5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.726858Z digest=sha256:0987a13506fd7379766332a2fe2fa1551ce0e268715966a5630d32968ec91401

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:12.796132Z digest=sha256:d9314264b781a8383318f26a3ca4dc1f47e54198c82f78c584ad68aa6026c9d0

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=sha256:431adf64004afeb3904d586bb6698148e9e8e7041b76ef8b0b333c23e856abeb

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:fdbeb851d53dc32941f38d3d6bebadfa866e043190a070bba7b73f0a047a1367

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.066313Z digest=sha256:14f7492713dc72e0628d86198a18f7ceea551ad20d2d6115927def1a0d39318f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.214717Z digest=sha256:086fa323e74db8138133ce8e8e821c6629d19ec67a75f8e49c25f8bbdb98038b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.289547Z digest=sha256:23029038d56b15167cb2c4cd647d3547b1ae73e87f07123966e0fe8f18b02239

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.369423Z digest=sha256:99e6890c23ea855e721cd62c372281e56972e8243d3b7f3c116ee56f2b87f1b7

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
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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.466501Z digest=sha256:6c61e2da4c626800dc9cb9991d53372d27721b480f70adaa2df047ef1cff5ffd

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=sha256:77449b79242a7b3faa5d46e610dc1deccd54b2eb773ded910ef592a89222713d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.690171Z digest=sha256:dbf3053dca8b1fa953ca865eaab9e388f49d944c9775685ded71a28ed5a51f40

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:bec1e18385ac9d718a53cb32ded20e7c4e06b2d6318b1ca1721fd5dd1b0748ed

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.867817Z digest=sha256:81151265da772cb6663ec55bc8c923d5259a8b7c1ed76f05341c8bc497e23063

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:13.938984Z digest=sha256:bfb55ce918b2fcb0e9e86f30392e903ea884ffd38451e824411ab3a74f1f4163

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:c9bf2cf5775739e1ad426539930723bfb45f32528cba0e2acb0b26b12740015a

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=sha256:340f8f9abd43b98cb6bc16f0bc7d8446758073e37887cb034ff2440f9b8c5648

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:14.233935Z digest=sha256:91bd932a94a0f18c1d581cb387cfcea926b5df3a6ac0e13da150a53cd82b45e7

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=sha256:3d0c08521f8de4e6f7b03140442c4ba1c0068bd6c3efb009fa644dcb4d1c83e8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:14.565845Z digest=sha256:e783c4adc311250872d2ec6d8e87cd818a1ac39217788805d91d5bc51a3bb4a0

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:a5818b1b67dca4007f426563957c9b947ac3c59a3f16aa29c453e5ec82da34e2

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=sha256:573575bb91ce518aa17edce99811016da626ad112a3f788ab951aff065c1e77c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:53:14.364104Z digest=sha256:b2aa6054a858ba9f1b9359463e2a59569fe9624508c34d34abd9ea29688e623e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:25:42.586436Z digest=sha256:74d6f5422120eb47055a0a7e9bde506c71ff3acebe5629ecc17a76d8865107b5