Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Grokking as an entanglement transition in tensor network machine learning
As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.10483.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:37:13.401150Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T08:56:58.972839Z
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 45473160-fbe9-4b93-b53b-50fda4dc641a · inbound
When AI meets quantum information: A comprehensive review cites this paper.
When AI meets quantum information: A comprehensive review Grokking as an entanglement transition in tensor network machine learning
Reference 214
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:46:56.311908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bccc9b56-4e4a-4a78-ac75-1d2220a8787c · inbound
Grokking and epoch-wise double descent in quantum neural networks cites this paper.
Grokking and epoch-wise double descent in quantum neural networks Grokking as an entanglement transition in tensor network machine learning
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:56:58.974922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 01176e7b-66ef-4ca3-959b-9ddf69ee290d · inbound
Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations cites this paper.
Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations Grokking as an entanglement transition in tensor network machine learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:37:13.401150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.