Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the relation between trainability and dequantization of variational quantum learning models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.07072.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:24:32.339734Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ebdaca09-d774-482a-897a-c1fcacbc73e8 · inbound
Quantum Convolutional Neural Networks are Effectively Classically Simulable cites this paper.
Quantum Convolutional Neural Networks are Effectively Classically Simulable On the relation between trainability and dequantization of variational quantum learning models
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T22:05:49.936534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 86581ecd-bcda-4d32-be18-8f55f9e54721 · inbound
Variational decision diagrams for quantum-inspired machine learning applications cites this paper.
Variational decision diagrams for quantum-inspired machine learning applications On the relation between trainability and dequantization of variational quantum learning models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:52:29.595364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8c791d68-caa9-4535-a40e-b5cba5b12d6a · inbound
Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models cites this paper.
Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models On the relation between trainability and dequantization of variational quantum learning models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:24:32.339734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9adb2e95-fd28-4414-982a-3e3ac0a9e1ac · inbound
Iterative Quantum Feature Maps cites this paper.
Iterative Quantum Feature Maps On the relation between trainability and dequantization of variational quantum learning models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:17:10.629134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2edad1c7-b56f-42f5-8573-ca0a1eccbb5f · inbound
Quantum reinforcement learning in dynamic environments cites this paper.
Quantum reinforcement learning in dynamic environments On the relation between trainability and dequantization of variational quantum learning models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:53:50.410029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5742f7d-a969-4c8c-814a-1c5bd29ae537 · inbound
Mind the gaps: The fraught road to quantum advantage cites this paper.
Mind the gaps: The fraught road to quantum advantage On the relation between trainability and dequantization of variational quantum learning models
Reference 125
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:51:39.733898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 09ebe910-43c8-4007-9ece-7ec030e8a57e · inbound
Mind the gaps: The fraught road to quantum advantage cites this paper.
Mind the gaps: The fraught road to quantum advantage On the relation between trainability and dequantization of variational quantum learning models
Reference 125
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:11:34.736481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2522995e-b3a7-409e-a556-875db004e34b · inbound
Exponential quantum advantage in processing massive classical data cites this paper.
Exponential quantum advantage in processing massive classical data On the relation between trainability and dequantization of variational quantum learning models
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:26:00.097291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62be24e6-b946-4f00-ad9a-f1bf41b53dea · inbound
Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor cites this paper.
Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor On the relation between trainability and dequantization of variational quantum learning models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:39:35.027715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.