Paper Citation Record · LEDGER

MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.05945.

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

pith.paper-citation-record.v1
2408.05945 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:28:32.581814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:37:03.138269Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dbd26f5a-ede3-45d9-9a24-5a8c516ac9d6 · inbound

EVT: Efficient View Transformation for Multi-Modal 3D Object Detection cites this paper.

EVT: Efficient View Transformation for Multi-Modal 3D Object Detection MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T19:28:32.581814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b56ffba8-cfda-48c4-873b-379ce2e1fe22 · inbound

Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving cites this paper.

Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T16:28:36.712998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8335e4a2-fee9-494d-9764-e4503a249675 · inbound

Distilling Multi-modal Large Language Models for Autonomous Driving cites this paper.

Distilling Multi-modal Large Language Models for Autonomous Driving MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:58.509703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e5059b0-7843-4f13-9331-d396f5030087 · inbound

RoCA: Robust Cross-Domain End-to-End Autonomous Driving cites this paper.

RoCA: Robust Cross-Domain End-to-End Autonomous Driving MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:00.229708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16fbb166-3fec-4c5b-b9f9-746c9764b31e · inbound

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection

Reference 288

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:00:48.120939Z

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.

Observation c8143564-79f2-46ec-bf1e-a08540deb3ee · inbound

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception cites this paper.

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:37:03.140425Z

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.