Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.10013.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:57:14.978127Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:08:22.605427Z
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 01804d58-7249-4536-917a-d3d8d831818c · inbound
Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving cites this paper.
Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:57:14.978127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0ab2c63-6807-44f5-9791-0affc4803b84 · 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 PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.276717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a3c837c-6787-4cc6-9a22-ab7410776dc1 · 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 PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:10:19.617353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc676121-9b5e-42c9-8b96-4b55c25f72aa · inbound
VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.
VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:08:22.606663Z
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 ba70c9df-1e94-4e40-af6d-afd01991e192 · inbound
VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.
VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T10:49:28.959330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.