Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:23:59.200648Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2510.01022.
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, observed 2026-08-04T13:23:59.200648Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
17 of 17 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2cebc178-2e10-4664-8c59-bfdc53a067df · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Geometric GNN Dojo
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ef6c947-c99f-4421-ac28-7dd305036ba8 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Unresolved cited work
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52eacf27-ef13-461e-8161-1e948826eb9d · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Manifold filter-combine networks.Sampling Theory, Signal Processing, and Data Analysis, 23(2):17, 2025a
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54c8cfbb-cca4-4b45-a574-43e0a7cb7bf8 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f801844f-834b-4ab3-b84b-5a590bb2f94d · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks URL https://doi.org/10
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1ea5768a-e6ea-4ec6-a2d2-c28a77c07fc9 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Convolutional filtering on sampled manifolds
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf30767b-909f-471c-9bd2-79d75a70b2e1 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6dcaec5-8dda-4d39-9c04-766f46a57789 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks [2024].) The key to the proof of Proposition B.2 will be to combine this result with the inequality (6), stated below, that relates this weighted norm to the unweightedℓ 2 norm
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ab96938-cf68-4793-9730-e92acda95ad7 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Unresolved cited work
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81f51b1a-6142-4a6e-a824-00862542dba2 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Reference 2012
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34d4de88-d8af-405d-aba9-84469e6309f6 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Reference 2017
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1465311-e0ac-4374-95c6-5eb48a909837 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Fast Graph Representation Learning with PyTorch Geometric
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6796aa25-55cb-437b-8a6a-ebe072715e15 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Geometrically Equivariant Graph Neural Networks: A Survey
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f48fd99f-9d3a-418b-8774-502912900caa · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks The manifold scattering transform for high-dimensional point cloud data
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 806bdbec-2062-44ae-a186-84fdb73baa43 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks DYMAG: Rethinking Message Passing Using Dynamical-systems-based Waveforms
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55e04679-d37e-48de-9cf3-3ce51b8a0c53 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee841244-d02d-43bb-93d5-29d6afcf9628 · outbound
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks doi: https://doi.org/10
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.