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Paper Citation Record · LEDGER

BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2206.10092.

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

pith.paper-citation-record.v1
2206.10092 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:27:47.843490Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:18:49.538178Z

Reference resolution

0 of 0 outbound references displayed

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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 b52f99d7-4077-4646-8f43-8429dca87a56 · inbound

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning cites this paper.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:18:49.541761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T03:16:03.058129Z digest=sha256:5d186ba29ca86d1190bc7785da48cbfe08ab08b11c84e7b73d9f6c6b8b1eba4a

Observation b3f21f2a-29d4-43a3-a18e-0ef9eb3106f3 · inbound

HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving cites this paper.

HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 19

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no resolver link, observed 2026-08-12T04:27:47.843490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:27:47.843490Z digest=sha256:2f42bfc4883dcd0dff565de3b211db2d5232057161f79ed22ef60c4b2a49c298

Observation 1549b8d9-9891-433d-9acb-a99f50286874 · inbound

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction cites this paper.

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 20

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no resolver link, observed 2026-08-11T21:28:45.209422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:45.209422Z digest=sha256:c5b7436a2baa289337ba3689d37da63c64c221bef9b771cea1898cde9c0bbbf9

Observation 53ead416-cd70-4662-9926-d4a03d96f815 · inbound

Doe-1: Closed-Loop Autonomous Driving with Large World Model cites this paper.

Doe-1: Closed-Loop Autonomous Driving with Large World Model BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T16:55:42.318616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:55:42.318616Z digest=sha256:1741c3c5b38d033ee86b4cb21dd0f56ca36df31b101dc4577a31abd664761934

Observation 4b453f8e-1f27-4e67-a9c4-b7cfc3606651 · inbound

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving cites this paper.

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 31

Resolution
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no resolver link, observed 2026-08-11T16:00:36.018380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:36.018380Z digest=sha256:75aa91bf603d5189f129c57e2e5f0b9abe9904a69219a570a6d879c228acfdac

Observation e76d84be-4d90-4810-b18d-ab2db687af6a · inbound

GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction cites this paper.

GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:52.704943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:52.704943Z digest=sha256:cf6a43cf01fe415bf9bb710410e942d735881ac70f333bb6aedda568118499cb

Observation 2055da5b-7f72-4e90-a26e-eb8188f57d20 · inbound

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation cites this paper.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.299527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.299527Z digest=sha256:0d8e99da72410c7c565734b75861484167dbf313d53b70cde18621b983690094

Observation acd256c9-80b0-4234-866d-b9052d2ba5a5 · inbound

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software cites this paper.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.076348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.076348Z digest=sha256:a512665041aa9078a7519d1544d067a4f75c74d2c44aeb34927f5ae4eeb211df

Observation f19f51b9-1ac2-4b85-aac6-1b55ab7c2e8f · inbound

Rethink 3D Object Detection from Physical World cites this paper.

Rethink 3D Object Detection from Physical World BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:28.939182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.939182Z digest=sha256:9f859e9e3b2ca1ecc659dcc2b2c3ae3208858ed8d65bd8b561f235bcaffab9ac

Observation 9e1ce769-8d07-4799-8ffc-ff03fae697a9 · inbound

GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction cites this paper.

GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:19.661686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:19.661686Z digest=sha256:ef87ee990d33e97371ec4ffdfbce39526ee810bb458c2aae360d14705e5e5ef8

Observation a1d68c19-5131-4ce5-a4f4-7fac8903302f · inbound

SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer cites this paper.

SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T14:55:48.370186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:55:48.370186Z digest=sha256:5ddaada690246fe50f536ccafeb9318ea19e0885fc29f363e66b13e7a3b1d4de

Observation 9d954fb7-7b22-4771-9ef7-3c2de795647e · inbound

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction cites this paper.

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T20:48:57.186218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:48:57.186218Z digest=sha256:268b3bd553bae7db2549d034081f71774ec2c37e84672039dc650b9b2177a231

Observation d20b9460-0b1c-47a4-878a-39fce5d97975 · inbound

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

Fast-BEV++: Fast by Algorithm, Deployable by Design BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T18:44:18.873980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T18:42:37.182403Z digest=sha256:261ae1c02b27390c55987ad8c5cdd1e077c5e0c957cc3177d4a4060889977b17

Observation bb1db8b7-ac1c-477d-aea5-713e772c2e4e · inbound

BEVPredFormer: Spatio-temporal Attention for BEV Instance Prediction in Autonomous Driving cites this paper.

BEVPredFormer: Spatio-temporal Attention for BEV Instance Prediction in Autonomous Driving BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:03:12.411486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T20:00:21.130075Z digest=sha256:1f13cc78426aae72dae325dd3badf446e784b390f2a971a66334d4410b169208

Observation c6f01894-e42b-47a6-94f2-1f7c13694aaa · inbound

GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes cites this paper.

GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:41:01.688322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T03:20:24.032405Z digest=sha256:69a6caba23b98f95c9fbaa271f2e04be5a3a3948a00144708b6af8ccf4c34c67

Observation 3466ac3d-6cf3-458c-ae34-714ec2eaa2cb · inbound

FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Prediction cites this paper.

FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 21

Resolution
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no resolver link, observed 2026-07-11T23:42:57.473601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:42:57.473601Z digest=sha256:19938a174da747d7aab0ef5a1e3c3cf4c207c375abab95eb6d673d8e46664059

Observation aa295924-20b5-4a6a-a683-60dca48b1aa6 · inbound

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction cites this paper.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T14:25:21.264423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T14:25:21.264423Z digest=sha256:0d2c99c765eb09cb399639c664e382f094fb493fb85379453c9ebfe71315e23f

Observation 85d8a940-6c7a-4228-b52e-928555aea53f · inbound

RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity cites this paper.

RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 2

Resolution
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no resolver link, observed 2026-08-01T17:26:09.858769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:26:09.858769Z digest=sha256:7400ab3c961a27d39d31ebc197f2de07082c971d2b38db590acef3087cdb2376