Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.02299.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T00:46:52.271683Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:52:35.341233Z
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 e458f3ad-a9ac-4bcb-b222-f0d87b1fcbf3 · inbound
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks cites this paper.
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:46:23.332033Z
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 b0ac17c8-f36f-468e-919d-10d506022be9 · inbound
An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke cites this paper.
An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:52:35.342815Z
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 6a4be0a9-3172-4804-a633-ddb0bc9d6d5f · inbound
LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems cites this paper.
LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:46:52.271683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.