Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gauge covariant neural network for quarks and gluons
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2103.11965.
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 2026-08-07T00:58:38.742479Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T09:03:16.253030Z
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 54b21998-f4ee-46f9-a468-272ce22d9648 · inbound
Symmetry-preserving neural networks in lattice field theories cites this paper.
Symmetry-preserving neural networks in lattice field theories Gauge covariant neural network for quarks and gluons
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:58:38.742479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de84da31-4a08-4f14-a361-c519a72f7245 · inbound
Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory cites this paper.
Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory Gauge covariant neural network for quarks and gluons
Reference 158
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:22:20.908531Z
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.
Observation 0edc63df-b798-44f8-9b49-8749293c61a4 · inbound
A Machine Learning Approach for Lattice Gauge Fixing cites this paper.
A Machine Learning Approach for Lattice Gauge Fixing Gauge covariant neural network for quarks and gluons
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:14:46.428265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c308704a-9f89-49e4-84fe-abb903570522 · inbound
Neural network interpolators for Wilson loops cites this paper.
Neural network interpolators for Wilson loops Gauge covariant neural network for quarks and gluons
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:31:01.029695Z
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.
Observation 43fb74e3-5c45-4994-88fe-809675d843b0 · inbound
First steps towards gauge-independent vortex identification through machine learning cites this paper.
First steps towards gauge-independent vortex identification through machine learning Gauge covariant neural network for quarks and gluons
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T09:03:16.254382Z
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.