Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2110.02905.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:49.253471Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation a90f454c-95c3-4cd0-aeed-dbf05560c7c7 · inbound
STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc5545c0-a889-4842-9592-6b9fb88dc5d3 · inbound
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdf013ab-c78c-465e-8837-c69728fc5522 · inbound
Cosmology with Topological Deep Learning Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39f847c9-8316-4309-867c-d27094515bf8 · inbound
DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8321533-fd03-4df0-bfb9-33e9d65ff7d5 · inbound
cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd7abdfb-4a3f-471d-b054-01ba5f90cc62 · inbound
Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 036bb212-8138-47cc-a7fd-da9043e3c1e1 · inbound
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e321fce4-0107-407e-8d9c-b2ef8dbd351e · inbound
Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 65
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0cfd1eb3-8411-4511-8726-cdb29e97c889 · inbound
Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0e8f0be-3b98-422c-b65c-abb9004d88e1 · inbound
Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cb5ea9e5-d795-4029-b29a-95522d124504 · inbound
Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 152
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d7083180-5b0c-4685-859c-9cd38fc0b163 · inbound
Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 20460b72-18ba-4465-88f8-f64d4fd1cf92 · inbound
Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.