Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:58:33.008732Z
Paper Citation Record · LEDGER
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection
As of 8 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2506.06678.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
74 of 74 outbound references displayed
- verified exact9
- verified fuzzy15
- unresolved47
- parse uncertain0
- malformed identifier3
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5068ba4d-78c7-4deb-b6e3-a14d9f1a8267 · outbound
This paper cites Sachdev,Quantum Phase Transitions, 2nd ed.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Sachdev,Quantum Phase Transitions, 2nd ed
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfb5fb36-9c30-4aea-bd67-6ad7c61b841b · outbound
This paper cites Sachdev,Quantum Phases of Matter(Cambridge Uni- versity Press, 2023).
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Sachdev,Quantum Phases of Matter(Cambridge Uni- versity Press, 2023)
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ddc5cb3-981d-4c07-8240-3965d9250af1 · outbound
This paper cites Preskill, Quantum computing in the nisq era and be- yond, Quantum2, 79 (2018).
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Preskill, Quantum computing in the nisq era and be- yond, Quantum2, 79 (2018)
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c16ac935-9751-4064-b12a-271dbc4f54ae · outbound
This paper cites Islam, E.
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:26.198420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1336db6-2878-4a74-9636-921398fbaecd · outbound
This paper cites Bloch, J.
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 585e2d78-a00d-4f0c-a742-c89a76c2e4d9 · outbound
This paper cites Peruzzo, J.
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30ed29ef-e813-4b27-a68d-2c32cd9f0b5b · outbound
This paper cites Kandala, A.
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:42.126832Z
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 e41dfc58-be49-4253-8b8a-cb13d68baef2 · outbound
This paper cites The least squares method: application to analysis of the flavor dependence of the QCD relation between pole and $\rm{\overline{MS}}$-scheme running heavy quark masses.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection The least squares method: application to analysis of the flavor dependence of the QCD relation between pole and $\rm{\overline{MS}}$-scheme running heavy quark masses
Reference 8
- Resolution
- verified exact
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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 ea872616-ff40-4bc7-ac8b-ead7b9bcf4b9 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47e613ca-b5c7-4de8-9fae-975d8270607a · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 10
- Resolution
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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 31e53449-9fdc-40ca-9f57-2499bf35a93d · outbound
This paper cites Tilly, H.
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad194676-75e4-4a27-8c00-85527c7b4bc4 · outbound
This paper cites Cerezo, A.
Reference 12
- Resolution
- verified fuzzy
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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 2c47525a-d03d-4ee6-a44a-2eb4e134461c · outbound
This paper cites Li and F.
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97504133-74ba-402c-878d-f0afc20f51cb · outbound
This paper cites Pollmann and A.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Pollmann and A
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e655e93-81cd-4c16-9562-6183e0ea9fbe · outbound
This paper cites Haegeman, D.
Reference 15
- Resolution
- verified fuzzy
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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 6e6c291e-2fd6-4e87-a50e-7068d96b740c · outbound
This paper cites Pollmann, A.
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27d91b81-fe53-465e-9a89-6cd12c61d711 · outbound
This paper cites Lidiak and Z.
Reference 19
- Resolution
- verified exact
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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 d2dfce76-3a51-4be7-a47a-489dcc836d71 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 20
- Resolution
- verified exact
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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 0cb78018-9c5c-4632-8e69-ecc8193a8a74 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 21
- Resolution
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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 b3f3c530-d9e9-46b2-92bc-79842a7687b4 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 22
- Resolution
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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 87651cab-207d-4c2e-aca5-981378dac913 · outbound
This paper cites Herrmann, S.
Reference 23
- Resolution
- verified exact
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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 bba5f30f-b0aa-4f1a-a8c3-8727d9636d1e · outbound
This paper cites Monaco, O.
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e33c424-c2f4-42e2-b8c8-eac955c30b56 · outbound
This paper cites Quantum ensemble learning with a programmable superconducting processor.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Quantum ensemble learning with a programmable superconducting processor
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:58:35.620903Z
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 7aef7942-01ac-4278-8887-10fb60a0da16 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dd4bb75-8e49-4e61-aa8d-77c4f7021843 · outbound
This paper cites Huang, R.
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78659faf-812e-4980-9301-ad66584ea23e · outbound
This paper cites Huang, R.
Reference 28
- Resolution
- malformed identifier
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06e66944-5059-4efe-816b-e7528d2ca7c2 · outbound
This paper cites Lewis, H.-Y.
Reference 29
- Resolution
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Source-reported events for the cited work
correction dated 2024-02-26. Source: crossref record 10.1038/s41467-024-46164-4->10.1038/s41467-024-45014-7:correction, observed 2026-07-11T03:00:38.151056+00:00. This notice travels one citation hop only.
Observation d9c31c91-21bd-400e-be32-90e2bbb58dd3 · outbound
This paper cites Broecker, J.
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e726ed2c-121c-498a-90ca-5c3ec66e2b5e · outbound
This paper cites Canabarro, F.
Reference 31
- Resolution
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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 581f7ade-7b2a-4d4e-93b4-73b99fd9939a · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 32
- Resolution
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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 e5e21e00-ee11-4fb3-9b31-036cc69f0410 · outbound
This paper cites ClassiFIM: An Unsupervised Method To Detect Phase Transitions.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection ClassiFIM: An Unsupervised Method To Detect Phase Transitions
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:58:35.365409Z
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 4a768555-8c11-4b54-80cd-8b7b79401568 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2e6e836-554f-4399-84d6-9fd9a4b23e83 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 35
- Resolution
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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 ed26e820-7079-4ffb-92a3-cd2e55bfe7c7 · outbound
This paper cites Autoencoder-based learning of Quantum phase transitions in the two-component Bose-Hubbard model.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Autoencoder-based learning of Quantum phase transitions in the two-component Bose-Hubbard model
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c767b6e-3d71-4923-8150-1cf1fae44764 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 38
- Resolution
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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 8fbc7489-8a46-4537-90d3-a84f6219a3fa · outbound
This paper cites Angelides, P.
Reference 39
- Resolution
- malformed identifier
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f871385-244f-4cf9-bb36-50369d219f91 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 40
- Resolution
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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 171c2fcf-ce0b-4273-a8f1-3ef3ac481711 · outbound
This paper cites Grossi, O.
Reference 41
- Resolution
- verified fuzzy
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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 106730b4-2cc1-4805-b74b-0b0037442fb0 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8bf2a0d-14c3-413f-8534-a741f64c517e · outbound
This paper cites Holmes, K.
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 963db02b-9024-4fd9-8297-37258c37c6e6 · outbound
This paper cites Ortiz Marrero, M.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Ortiz Marrero, M
Reference 44
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48d67bb1-3c2a-44e8-b81e-2a9aaf1ca1f5 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed68b76b-c72f-4a02-a6e9-38506d4e264b · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c88e11b0-37c3-4d11-b374-724f73953e30 · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:58:38.992819Z
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 b9b1d26a-cc70-4402-ab96-121b1ba3c70a · outbound
This paper cites Non-Convex Optimization by Hamiltonian Alternation.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Non-Convex Optimization by Hamiltonian Alternation
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:58:34.933427Z
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 af477ff5-44fd-4fcf-b5a7-b5a6b43a7027 · outbound
This paper cites Li, Quantum computers quickly find local minima, Nature Physics21, 512 (2025).
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Li, Quantum computers quickly find local minima, Nature Physics21, 512 (2025)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:38.723033Z
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 244b0de8-1cc2-4848-9d7a-39c80bb033cd · outbound
This paper cites Unveiling quantum phase transitions from traps in variational quantum algorithms.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unveiling quantum phase transitions from traps in variational quantum algorithms
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:58:34.632899Z
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 826993d9-f78c-4aee-b6ec-1200c4c811dd · outbound
This paper cites Crognaletti, G.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Crognaletti, G
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:38.438560Z
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 683b1118-1608-4295-8606-9da4e405026d · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:58:38.220089Z
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 3633a14a-db1c-4920-be46-4c217e92eea2 · outbound
This paper cites Pearson, Liii.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Pearson, Liii
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:37.928226Z
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 23e32c40-10be-43d4-a28c-e87320ec9ddd · outbound
This paper cites Permuter, J.
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:37.580526Z
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 15402fb5-6fe4-41d7-a42a-edb596ac2e18 · outbound
This paper cites Sch¨ olkopf, A.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Sch¨ olkopf, A
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:37.330491Z
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 cadd846b-d33b-4387-b568-3f4b6121e165 · outbound
This paper cites Unsupervised Deep Embedding for Clustering Analysis.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unsupervised Deep Embedding for Clustering Analysis
Reference 56
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d5b2157-fc7d-42a2-8cad-f58cd26bb37f · outbound
This paper cites Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:31.091614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3bef595-da9c-4765-968d-809697959795 · outbound
This paper cites Correia, J.-C.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Correia, J.-C
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:37.136124Z
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 dcfb7510-e9c1-45ea-a2ca-19980cc751c1 · outbound
This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Neural Machine Translation by Jointly Learning to Align and Translate
Reference 59
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d50ef8a-6291-437c-aacf-66930accb897 · outbound
This paper cites Attention Is All You Need.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Attention Is All You Need
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 231df581-9fdd-430c-b6d1-4d4117a6a50e · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 61
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af6eb279-8d06-472f-911c-f9cfca874ab1 · outbound
This paper cites Scalable Diffusion Models with Transformers.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Scalable Diffusion Models with Transformers
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:31.477548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c2bbef3-0ed2-44f3-8649-3c76a73d452b · outbound
This paper cites an unresolved cited work.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:58:36.909178Z
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 e7624fa7-dcd5-4931-aa3b-8127fc586a36 · outbound
This paper cites Disentangling by Factorising.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Disentangling by Factorising
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:31.628489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b1e40c5-ba9b-41b7-9d46-c088a6f45fe4 · outbound
This paper cites Isolating Sources of Disentanglement in Variational Autoencoders.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Isolating Sources of Disentanglement in Variational Autoencoders
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:31.736542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6db63a90-0a49-423f-9132-69698d602dc0 · outbound
This paper cites Denoising Diffusion Probabilistic Models.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Denoising Diffusion Probabilistic Models
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:31.863370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b8ec1f3-57e5-41d0-9a07-7a4d948a7d25 · outbound
This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection High-Resolution Image Synthesis with Latent Diffusion Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:32.040173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e90f0af9-190d-4e2e-8ab5-de44bc71af23 · outbound
This paper cites Learning Transferable Visual Models From Natural Language Supervision.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Learning Transferable Visual Models From Natural Language Supervision
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:32.195578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c090998c-7ae1-4289-8cdb-814e526f77a8 · outbound
This paper cites Chenet al., Quantum mixed-state self-attention net- work, Information Sciences668, 1 (2025).
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Chenet al., Quantum mixed-state self-attention net- work, Information Sciences668, 1 (2025)
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:36.639406Z
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 9d1e3475-4e54-4331-9eb2-f39d3fcf8d6d · outbound
This paper cites Rocchiaet al., Unveiling the physical meaning of transformer attention in molecular wave functions, Chi- nese Physics B (2024), in press.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Rocchiaet al., Unveiling the physical meaning of transformer attention in molecular wave functions, Chi- nese Physics B (2024), in press
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:36.404957Z
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 ec6274e1-fa1f-42ec-939b-e740646392a4 · outbound
This paper cites Campostrini, A.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Campostrini, A
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:32.460001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 655b7682-2509-4bd0-b9aa-062802751bd7 · outbound
This paper cites Schuld, I.
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:36.131572Z
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 d4e916d0-a399-48c0-9248-1b168cb4e887 · outbound
This paper cites Luo, J.-G.
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:32.628001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a1ca1ff-a25b-4c65-ad25-0af12173ad71 · outbound
This paper cites Smacchia, L.
Reference 74
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T05:58:32.797462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bb10f88-f329-4dd4-bd7a-e9def56d95c6 · outbound
This paper cites MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:32.905224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a116d0b-ac8a-4c1d-b1a6-f6a1f68cf799 · outbound
This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection PyTorch: An Imperative Style, High-Performance Deep Learning Library
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:33.008732Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81ac9476-fb44-4a6b-9410-9b9c78e589d4 · outbound
This paper cites The distribution of 2001 samples in the latent space is shown in Fig.
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection The distribution of 2001 samples in the latent space is shown in Fig
Reference 1008
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:58:42.525748Z
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.
Pith citing papers
No inbound Pith citation observations are available.