Pith. sign in

Paper Citation Record · LEDGER

M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2204.05088.

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

pith.paper-citation-record.v1
2204.05088 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:07:27.939235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:56.861251Z

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 325b9adc-ea91-4efb-a519-9c29b6ee4d4c · inbound

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset cites this paper.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-09T14:07:27.939235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:07:27.939235Z digest=sha256:fe6c319b4bcaa2f0d13a1ca284ba8a6fdfe96f84d8fb98ff35af9c00bde656ff

Observation 844e01cd-9739-43f2-a884-b862385f710b · inbound

MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction cites this paper.

MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T05:10:35.062042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:10:35.062042Z digest=sha256:25e37f612496306c27cf686cb1a59186cb3a54d8803e6032ab3242599db92301

Observation de57954f-2a02-44e9-8879-d18911d17174 · inbound

Collaborative Perceiver: Elevating Vision-based 3D Object Detection via Local Density-Aware Spatial Occupancy cites this paper.

Collaborative Perceiver: Elevating Vision-based 3D Object Detection via Local Density-Aware Spatial Occupancy M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T12:56:39.710370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:56:39.710370Z digest=sha256:08bd6efeddd554e96189f39606ee684b4cc64f8b2d534477aa42517448d13574

Observation ebfb7d9f-fcca-4071-8046-dab3acf4ded8 · inbound

Fast-BEV++: Fast by Algorithm, Deployable by Design cites this paper.

Fast-BEV++: Fast by Algorithm, Deployable by Design M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T18:44:18.898108Z

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=2026-05-21T18:42:37.182403Z digest=sha256:330d82a1c451fd9dd811c3766da2db36a5f8551d1cc9ee94819b8149fda364fa

Observation f2ee52f4-664f-4561-9231-699a52f63133 · inbound

TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding cites this paper.

TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T18:06:25.421399Z

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=2026-05-15T18:04:49.834498Z digest=sha256:59dc2cf6ce8e4d0192a1eebd8b1ffa62ad14d5eb54eb5b0e451fabddf3d3f87a

Observation fa1c3e5f-e8a1-4ad4-8105-b31bff224f04 · inbound

Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation cites this paper.

Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:01:03.860185Z

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=2026-05-10T15:13:56.698126Z digest=sha256:e649e28c0344ffe9be04b33ebd1ec215621257886383f36dbc06dba8325f1699

Observation d3e24f52-d5e6-40b5-a68b-55e9d5b10c00 · inbound

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras cites this paper.

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:16:54.756872Z

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=2026-05-10T07:16:33.640040Z digest=sha256:c39bb75b10df11336bf7111f476b381635b22d26ead2440ae19cfe0f1012c1d4

Observation f08feebc-fa4b-4568-aa94-b0cc2ac88dca · inbound

Humanoid-OmniOcc: Stereo-Based Full-View Occupancy Dataset for Embodied AI cites this paper.

Humanoid-OmniOcc: Stereo-Based Full-View Occupancy Dataset for Embodied AI M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:49:46.257286Z

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=arxiv_source observed=2026-06-26T08:29:13.389779Z digest=sha256:5654149130f18977f1030dc2eae776d39fde9d4eb66ec2a37fc629334a537295

Observation af673368-4c40-4ae9-bc0f-ad9a425fdd6f · inbound

Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints cites this paper.

Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:56.862849Z

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=2026-06-26T00:40:49.888308Z digest=sha256:7e61df6a89911cd29566a29271665ec3a355a3e0beacb2e4acacccf2c31a9ba0

Observation ad3010a3-a33a-433a-9f83-e3d45b1b9538 · inbound

Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints cites this paper.

Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T10:25:19.747768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:25:19.747768Z digest=sha256:a737d623a9f1d0eb79a75d39ec283edf5f9ffefc5e051cf94d63aab2a8f90cca

Observation b092e448-5338-4472-9cde-e962bac1be24 · inbound

MATS: A novel multi-modality multi-task learning framework for 3D perception in autonomous driving cites this paper.

MATS: A novel multi-modality multi-task learning framework for 3D perception in autonomous driving M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T20:38:37.352420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T20:38:37.352420Z digest=sha256:6b4e4ea4c73f601e19b0cda9744b468473ad01a7b314af71b1942ec53a56665a