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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:22:13.375331Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T07:38:51.885383Z digest=sha256:a4f2f0c024bc8f2d61793cf7fb99eaf5dfa5567069abe2f3d00e9436f76800fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T13:42:03.676206Z digest=sha256:1853dea8a87853426cd8ab6ff2a7601ccdab4c8f8bbe87588b6ab35efdef48e1

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.

source=pdf_text observed=2026-08-06T14:22:13.375331Z digest=sha256:22f025510a84116008cf9facd41f2ebf68764a8d111e6080a73d490de8426337

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.

source=arxiv_source observed=2026-08-05T23:51:20.135441Z digest=sha256:8676d6ea7504f11c8f3f00f80876c826bd556561dc1299d4404108f50ce4c8bd

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.

source=pdf_text observed=2026-08-05T22:06:55.358201Z digest=sha256:4e0c326ec1175c8304e73c516e2305a8c01e3afe06a58447992ccebe5cb554bf

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.

source=pdf_text observed=2026-08-04T22:14:13.139572Z digest=sha256:c09e22ddc6b478cf81a59b99b5547535e433c7a22b7987a97d3f604c7e2839f7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T13:35:18.317235Z digest=sha256:6615a6e3286473e84b0fdf0e02b01bf83ab8a53dbe1fc829da71383485e21437

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T07:16:33.640040Z digest=sha256:bf689a0383309dc75e857ba4696593a79368f75687d8f00815bf506a167f3958

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:53:11.157832Z digest=sha256:4729ba85f35806fe03e63342cdb89208a9b8ef921247c7a21c595275d622ede2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:56:08.669141Z digest=sha256:8ed6fd89c09411cb05ad840742a4a2cdc78645b1b8f348eb947ee7c9e8bc02e0

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.

source=pdf_text observed=2026-07-11T23:42:57.473601Z digest=sha256:c8e302613fdf3c234677705cc028db6c0b34a69723b055ce5cae05a0d9952c3a