Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.09076.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:38:33.301115Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T17:10:25.138370Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 4ef8ab5d-67ec-47fa-a889-73ce3f884c2c · inbound
FreeDriveRF: Monocular RGB Dynamic NeRF without Poses for Autonomous Driving via Point-Level Dynamic-Static Decoupling ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55640800-63c6-4ea0-8fdc-518d5d1c3e96 · inbound
MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 022bc0f6-1b18-4299-aa85-0e682e40cd12 · inbound
UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cd816e4-7b20-48c0-ac77-4bc1a69215b4 · inbound
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b304f44c-a952-4223-a805-44ea9c46cb32 · inbound
Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acf6039f-69cb-48a0-b55f-d2d04ac092ee · inbound
Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 80b07804-1f0c-413e-a3a8-457a49fddc2e · inbound
LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f396ae40-2f7b-492b-bf57-707ee3ad20ec · inbound
RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.