Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine Learning Holographic Mapping by Neural Network Renormalization Group
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.00804.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:33.028515Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:26:02.210181Z
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 0da7ad59-3cdb-4079-8ce3-4cfdf130f0e0 · inbound
Symmetry-preserving neural networks in lattice field theories cites this paper.
Symmetry-preserving neural networks in lattice field theories Machine Learning Holographic Mapping by Neural Network Renormalization Group
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:58:33.028515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 726c54dc-4686-4040-9abe-f5bf2d4f5da2 · inbound
Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models cites this paper.
Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models Machine Learning Holographic Mapping by Neural Network Renormalization Group
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:02.213029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.