Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.00652.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:26:38.460478Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T22:26:38.561082Z
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 f719cd16-2c6e-44c7-92f3-ab91072c3a59 · inbound
ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density cites this paper.
ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T22:26:38.564806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.