Paper Citation Record · LEDGER

Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.07972.

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

pith.paper-citation-record.v1
2409.07972 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:52.290507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:32:17.472790Z

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 2617980f-993a-49a2-8c6d-f6aa4dae7c04 · inbound

VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction cites this paper.

VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:52.290507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0fe922b-e769-4305-a7d2-8fce107d5cc7 · inbound

BePo: Dual Representation for 3D Occupancy Prediction cites this paper.

BePo: Dual Representation for 3D Occupancy Prediction Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:32:17.476030Z

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.

Observation d494d794-4161-45ae-9ce7-2be9b88032de · inbound

Learning Multi-scale Spatial-frequency Features for Image Denoising cites this paper.

Learning Multi-scale Spatial-frequency Features for Image Denoising Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:41.127993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 287fdb31-db83-4a27-a59a-12204c2f1a27 · inbound

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

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T20:49:00.138246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.