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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:07.076348Z

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

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

source=pdf_text observed=2026-05-24T03:16:03.058129Z digest=sha256:60929905c9a299e44936680fdaedf5448f59338539643c6c538799b29b23207a

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=sha256:42bc060cb6131d23c3591394c98fd495f583159eff24dfa550b011bdd046b9ce

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=sha256:76882de99d36f09a06f494d4faa0cc37e3dc1a5a7bf668f9c0bbf46142aaf484

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=sha256:2128fd0d3dd07dcdbf02401994b37a0545db1048479158fdc3c07bf155b3e0d5

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:c61a55e69e4dfdfeff76c3e02699a34c8a50305f9a56deeabab46bf89866af2b

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=sha256:1a3ee764bb96fc9404cc22f852527ac14066c328532af0b3ccae6bbbbe05f3fe

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

source=pdf_text observed=2026-05-21T18:42:37.182403Z digest=sha256:db8e3c760e054184c7783a6a9790bfc72871663455de474b639ea1d280b4f125

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

source=pdf_text observed=2026-05-13T20:00:21.130075Z digest=sha256:4939c0a9a71bd7e81e21ddc8bbacce1b7a790d18467a755de42f44fd0f4161c2

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

source=pdf_text observed=2026-05-10T03:20:24.032405Z digest=sha256:db209973103aa8fa21736c896f616409c9e577a455c9c61e963b3069d1275e4c

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
unresolved
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:fc150c24b9182cc3e66f51913c7b49b98abd0cc5a3a493247de40f1817844859

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:e0be38fe83be2f2d141c6792b19bf23dd402dfcde3cac73022c000d50af6b348

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
unresolved
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=sha256:7ce455ca1ba2b4c97e89b1e6ad97d40f9f5f07e09bdd61c13f1356e4f740a8f9