Paper Citation Record · LEDGER

BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.09386.

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

pith.paper-citation-record.v1
2211.09386 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:04.492171Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T20:52:07.302544Z

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 8d05a966-8877-4844-bbb6-e17134a9063b · inbound

DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions cites this paper.

DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:43:35.188058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 690aa758-7737-499c-80f8-a304f0057634 · inbound

PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts cites this paper.

PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:08:13.898944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 619c8c35-ec52-4c0c-a041-27ba92d081c3 · inbound

SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection cites this paper.

SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:36.876520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfde4829-5cd6-48ee-9d2d-f49b9c2e041c · 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 BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:40.304696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a1d6a7-bf0b-4690-8610-700ad7391b4e · inbound

Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving cites this paper.

Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:04.492171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d3ad64-de83-4a49-9c0b-b076dc108545 · inbound

Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities cites this paper.

Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-04T20:52:07.308999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.