Paper Citation Record · LEDGER

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2210.02443.

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

pith.paper-citation-record.v1
2210.02443 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:12.991943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:42:19.186624Z

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 03b191a2-c562-4e95-ae5d-501ed33db8e1 · inbound

Enhancing End-to-End Autonomous Driving with Latent World Model cites this paper.

Enhancing End-to-End Autonomous Driving with Latent World Model Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:38:51.962542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0f907b9-3124-49bc-8e84-342c619af60f · inbound

MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection cites this paper.

MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T16:35:08.754391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b26922af-e3aa-481f-aa88-66fdafde2b6f · inbound

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection cites this paper.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T04:27:27.277881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72c76f90-3020-457f-b63a-8cba2af2e600 · inbound

RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding cites this paper.

RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:31:12.991943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3deb7c-23c4-469f-bc37-3751dfa3d5b5 · inbound

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction cites this paper.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:16.983274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c63ebfe-dba3-488f-84bf-0fd9a83e37dd · inbound

STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction cites this paper.

STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T05:48:54.168199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70540170-1be9-470f-8a33-d1c6d1f34cc3 · inbound

RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection cites this paper.

RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:42:19.188770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83c611cf-20ce-4c94-ac17-53f913306bb9 · inbound

CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perception cites this paper.

CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perception Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:20.870131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63089611-cce0-466f-a767-8d0ed6510893 · inbound

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting cites this paper.

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:13.375331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a0caeb-042f-445c-b0e7-a8a260b466dc · inbound

Occupancy Learning with Spatiotemporal Memory cites this paper.

Occupancy Learning with Spatiotemporal Memory Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T23:51:20.135441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5544e3d4-3a17-4b3b-864c-f6d8b74853e4 · inbound

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-05T22:06:55.358201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fcbc134-ccb4-467d-958d-6f09ea4911f0 · inbound

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection cites this paper.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T22:14:13.139572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da4e0ae-75ad-4dc0-a4f3-16319730d4f2 · inbound

Efficient Multi-View 3D Object Detection by Dynamic Token Selection and Fine-Tuning cites this paper.

Efficient Multi-View 3D Object Detection by Dynamic Token Selection and Fine-Tuning Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.168771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 52503dd9-8f8a-45bd-8a40-5e7da11cf2a9 · 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 Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:16:54.761798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7645cda8-2cd1-4217-9c52-5609fc440a12 · inbound

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection cites this paper.

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:56:11.168502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42406a8e-a5b7-4a4a-a2d2-9db14466677e · inbound

CLLAP: Contrastive Learning-based LiDAR-Augmented Pretraining for Enhanced Radar-Camera Fusion cites this paper.

CLLAP: Contrastive Learning-based LiDAR-Augmented Pretraining for Enhanced Radar-Camera Fusion Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:15.570815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5bf8f55-607d-4c89-9b0a-43f47a24ac76 · 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 Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 31

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.