Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Smooth, exact rotational symmetrization for deep learning on point clouds
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.19302.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:50:54.489661Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T10:50:54.678396Z
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 e8603c59-bd99-49f1-89e1-bc87c5e21362 · inbound
A potassium ion channel simulated with a universal neural network potential cites this paper.
A potassium ion channel simulated with a universal neural network potential Smooth, exact rotational symmetrization for deep learning on point clouds
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T10:50:54.684961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 03346160-a477-4aa4-b0c6-1b58a48ed8f0 · inbound
Correcting DFT formation energies towards experimental accuracy using foundational MLIPs and latent-feature delta-learning cites this paper.
Correcting DFT formation energies towards experimental accuracy using foundational MLIPs and latent-feature delta-learning Smooth, exact rotational symmetrization for deep learning on point clouds
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:13:37.210404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.