Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T23:38:11.157041Z
Paper Citation Record · LEDGER
Spectral Born machines: classically trainable quantum generative models for discrete data
As of 22 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2607.06675.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T07:39:33.980225Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
67 of 67 outbound references displayed
- verified exact28
- verified fuzzy24
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 87fe21fa-141c-4e38-b563-5f076062ebb1 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T01:07:51.445565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 136314f8-9b11-41a5-b8a8-f8c1082984a3 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T01:07:51.533624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a1bcb7ae-c4de-448c-84ad-c9fef6178084 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.288882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 866a92ce-0899-4c3e-8a49-9c3c8d55791b · outbound
This paper cites how much data we would need to train models of increasing size while keeping overfitting under control.
Spectral Born machines: classically trainable quantum generative models for discrete data how much data we would need to train models of increasing size while keeping overfitting under control
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.588612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 95645aa4-fcf7-4d4e-aca4-5e68bc7b5b85 · outbound
This paper cites Scaling Laws for Neural Language Models.
Spectral Born machines: classically trainable quantum generative models for discrete data Scaling Laws for Neural Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:47.114522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c7891e8b-bea4-40de-b9b9-f2dde202ad9f · outbound
This paper cites Deep Learning is Not So Mysterious or Different.
Spectral Born machines: classically trainable quantum generative models for discrete data Deep Learning is Not So Mysterious or Different
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:47.133672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 348b1892-c836-46a7-97b5-79a027f5d1b3 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T01:07:51.503305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d2d06a94-9ec5-43a0-b931-cf92759fc18a · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T01:07:51.589405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 136d84f0-9fbb-4aa9-932e-005f69f1f4a7 · outbound
This paper cites Hoefler, T.
Spectral Born machines: classically trainable quantum generative models for discrete data Hoefler, T
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:07:51.373468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e4770965-5edd-4ade-9bbc-c9c06e263ac5 · outbound
This paper cites Bowles, D.
Spectral Born machines: classically trainable quantum generative models for discrete data Bowles, D
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:07:51.475015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5a861615-9ade-49ee-bd47-92e324a9ee03 · outbound
This paper cites Abbas, R.
Spectral Born machines: classically trainable quantum generative models for discrete data Abbas, R
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.273262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 019f3ca9-6af2-47c6-bd7c-4605beb20a0a · outbound
This paper cites Coyle, S.
Spectral Born machines: classically trainable quantum generative models for discrete data Coyle, S
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.255130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5199d246-dc0f-4358-bc01-9ca617fff572 · outbound
This paper cites Chinzei, S.
Spectral Born machines: classically trainable quantum generative models for discrete data Chinzei, S
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:07:51.561628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9914c039-927a-496d-91e8-1999e6166444 · outbound
This paper cites Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation.
Spectral Born machines: classically trainable quantum generative models for discrete data Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:47.088477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ebe1d562-9d23-4f02-a1f9-585d3135a863 · outbound
This paper cites Adaptive directional gradients for parameterised quantum circuits.
Spectral Born machines: classically trainable quantum generative models for discrete data Adaptive directional gradients for parameterised quantum circuits
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:47.008874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fea94038-4b86-402b-aea3-443acf6cadbc · outbound
This paper cites Recio-Armengol, S.
Spectral Born machines: classically trainable quantum generative models for discrete data Recio-Armengol, S
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:47.070284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b07f963e-f555-4bb0-85af-c7d4bf1efb51 · outbound
This paper cites Kasture, O.
Spectral Born machines: classically trainable quantum generative models for discrete data Kasture, O
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:07:51.323130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c83c4b35-5736-4978-a4f2-5dbc2d7a7204 · outbound
This paper cites Bak´ o, Z.
Spectral Born machines: classically trainable quantum generative models for discrete data Bak´ o, Z
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:46.975684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a105888e-ad0d-4b45-ad1f-9ca4193bfe17 · outbound
This paper cites Efficient training of photonic quantum generative models.
Spectral Born machines: classically trainable quantum generative models for discrete data Efficient training of photonic quantum generative models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.994755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e355568b-6686-4958-ac6c-0c1ade27f2e5 · outbound
This paper cites Kolarovszki, B.
Spectral Born machines: classically trainable quantum generative models for discrete data Kolarovszki, B
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:47.050884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation df92d35c-3598-45d6-97c1-f2bc622057b7 · outbound
This paper cites Kurkin, U.
Spectral Born machines: classically trainable quantum generative models for discrete data Kurkin, U
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:47.092484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dab32e8e-0d16-4603-996d-7fdcc21a7d3b · outbound
This paper cites Quantum Fourier Generative Models Trainable at Large Scale.
Spectral Born machines: classically trainable quantum generative models for discrete data Quantum Fourier Generative Models Trainable at Large Scale
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:47.152409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5c49e678-7d13-4744-ae51-b1ade8b9c57f · outbound
This paper cites Herrero-Gonzalez, B.
Spectral Born machines: classically trainable quantum generative models for discrete data Herrero-Gonzalez, B
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:47.170175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 89bb0048-7202-4374-a094-86df1aca3288 · outbound
This paper cites Ball´ o-Gimbernat, M.
Spectral Born machines: classically trainable quantum generative models for discrete data Ball´ o-Gimbernat, M
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:07:51.509398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6f0e8213-905a-409f-93cb-05d8617c00ee · outbound
This paper cites Herbst, I.
Spectral Born machines: classically trainable quantum generative models for discrete data Herbst, I
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:47.153840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5603a6a6-3bfc-4b6f-9cb8-6a28cb79ec21 · outbound
This paper cites An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment.
Spectral Born machines: classically trainable quantum generative models for discrete data An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.902321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a5fa52d8-b918-4f6c-977a-90336295a406 · outbound
This paper cites Parity Supervision as a Driver of Generalization in Quantum Generative Modeling.
Spectral Born machines: classically trainable quantum generative models for discrete data Parity Supervision as a Driver of Generalization in Quantum Generative Modeling
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.921865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa9fe780-d846-485b-a295-790fe53876ee · outbound
This paper cites Rosca, T.
Spectral Born machines: classically trainable quantum generative models for discrete data Rosca, T
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T01:07:51.411895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c78b86a4-0e81-4937-9d3d-f21c39096163 · outbound
This paper cites Spectral methods: crucial for machine learning, natural for quantum computers?.
Spectral Born machines: classically trainable quantum generative models for discrete data Spectral methods: crucial for machine learning, natural for quantum computers?
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.917092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fe324739-2b02-49d0-bc39-095369446ceb · outbound
This paper cites Dherin, M.
Spectral Born machines: classically trainable quantum generative models for discrete data Dherin, M
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.322116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7bf59541-2d4a-452a-a941-a72415838ec1 · outbound
This paper cites Seehttps://docs.
Spectral Born machines: classically trainable quantum generative models for discrete data Seehttps://docs
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.305369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7ea64b4b-56ca-4e9b-a1d0-f7cddca08929 · outbound
This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.
Spectral Born machines: classically trainable quantum generative models for discrete data PennyLane: Automatic differentiation of hybrid quantum-classical computations
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.953279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 70750b12-ce20-46e3-beac-e99f992e9c2a · outbound
This paper cites Bradbury, R.
Spectral Born machines: classically trainable quantum generative models for discrete data Bradbury, R
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.548275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cc255fbb-6e09-46a6-bfc9-86f86d7674bc · outbound
This paper cites Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data.
Spectral Born machines: classically trainable quantum generative models for discrete data Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.858552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0d2b0643-854a-4c6c-acd0-841c1203f3b6 · outbound
This paper cites Dherin, M.
Spectral Born machines: classically trainable quantum generative models for discrete data Dherin, M
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.572428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 03b35109-dee3-4890-9325-9c1a31be665d · outbound
This paper cites Krebsbach, F.
Spectral Born machines: classically trainable quantum generative models for discrete data Krebsbach, F
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:46.821208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a7de4d96-e7ee-47e6-9d5a-b3e7b2322ec2 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T01:07:51.293626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1ffb55a3-e552-44d1-a96a-903ffd4cea3b · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.524228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b921f76c-d46c-4208-ab68-02aa21ea31e1 · outbound
This paper cites Asadian, P.
Spectral Born machines: classically trainable quantum generative models for discrete data Asadian, P
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.481611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8cd86dcd-1103-43bb-992b-dce2bada8672 · outbound
This paper cites IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX.
Spectral Born machines: classically trainable quantum generative models for discrete data IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.838988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3283422e-c354-4e3e-9399-a2475f2df7be · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.612939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d57cea95-064d-472f-a79b-065a186857e4 · outbound
This paper cites Liu and L.
Spectral Born machines: classically trainable quantum generative models for discrete data Liu and L
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.228584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fb5ab6db-849c-42b7-a611-ddd104ede242 · outbound
This paper cites Kurkin, K.
Spectral Born machines: classically trainable quantum generative models for discrete data Kurkin, K
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:46.785561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 82cd7b4e-52e7-4a5d-a226-a88601341950 · outbound
This paper cites A note on the evaluation of generative models.
Spectral Born machines: classically trainable quantum generative models for discrete data A note on the evaluation of generative models
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.768435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 52b79be0-0694-4191-9483-74a196da2291 · outbound
This paper cites An empirical study on evaluation metrics of generative adversarial networks.
Spectral Born machines: classically trainable quantum generative models for discrete data An empirical study on evaluation metrics of generative adversarial networks
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.825479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a48325b6-bfc4-4600-94a3-4b89dc8b3dfc · outbound
This paper cites A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science.
Spectral Born machines: classically trainable quantum generative models for discrete data A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.884158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ba4003d9-2c67-4bc9-ac7c-ff729828367b · outbound
This paper cites Improved separation between quantum and classical computers for sampling and functional tasks.
Spectral Born machines: classically trainable quantum generative models for discrete data Improved separation between quantum and classical computers for sampling and functional tasks
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.730597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 550d6901-c173-4925-bc06-a16e143d78a7 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.429866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b8021e53-9ac0-4122-bd07-5c1ffcc566b2 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.463566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 54ed6a79-f921-47c5-86c9-43ce2898e996 · outbound
This paper cites Rahaman, A.
Spectral Born machines: classically trainable quantum generative models for discrete data Rahaman, A
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.376908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7e991b5a-327d-43c6-93ea-9ec8d859fc34 · outbound
This paper cites Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.
Spectral Born machines: classically trainable quantum generative models for discrete data Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.708848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d3882947-229a-482c-82fd-e7119640d738 · outbound
This paper cites Gretton, K.
Spectral Born machines: classically trainable quantum generative models for discrete data Gretton, K
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.493218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0b20a13e-4604-4b2b-b94d-46bf7c877a74 · outbound
This paper cites Li, W.-C.
Spectral Born machines: classically trainable quantum generative models for discrete data Li, W.-C
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.412794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d50a762-4ef3-4b6d-8141-f70709ad299e · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.564929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 17e0ae26-f4e3-4170-a3f2-66b3fd7d7eeb · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.434621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6e8c589c-dfd1-4e96-8f27-36412fd9dfb4 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.451050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 060222bc-e8e0-4091-9de9-b99ef9f0ad3d · outbound
This paper cites Wu, The potts model, Reviews of modern physics 54, 235 (1982).
Spectral Born machines: classically trainable quantum generative models for discrete data Wu, The potts model, Reviews of modern physics 54, 235 (1982)
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.416112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 434fa37c-1686-4778-b2a5-2841deb3b354 · outbound
This paper cites Griffiths-Jones, A.
Spectral Born machines: classically trainable quantum generative models for discrete data Griffiths-Jones, A
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.399452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e9af1ec1-4c57-4701-9d47-c2220cf18437 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.470814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d6fd6f8f-26a3-4e7e-9d30-8cfdec5bb47a · outbound
This paper cites Meshulam, An uncertainty inequality for finite abelian groups, European Journal of Combinatorics27, 63 (2006).
Spectral Born machines: classically trainable quantum generative models for discrete data Meshulam, An uncertainty inequality for finite abelian groups, European Journal of Combinatorics27, 63 (2006)
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.520358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 22c0bae2-7b49-45c4-8c5e-ec2260b72337 · outbound
This paper cites Available: https://arxiv.org/abs/2602.11042.
Spectral Born machines: classically trainable quantum generative models for discrete data Available: https://arxiv.org/abs/2602.11042
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:46.844515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 04925a83-3479-4496-9e2c-a3bc569ad032 · outbound
This paper cites IQP Born Machines under Data-dependent and Agnostic Initialization Strategies, March 2026.
Spectral Born machines: classically trainable quantum generative models for discrete data IQP Born Machines under Data-dependent and Agnostic Initialization Strategies, March 2026
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T23:47:46.673129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 946a1bab-c542-4193-a67a-a87333334818 · outbound
This paper cites Exponentially many initializations to avoid barren plateaus.
Spectral Born machines: classically trainable quantum generative models for discrete data Exponentially many initializations to avoid barren plateaus
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.690913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 034230a4-9b7f-4581-9c31-4c05cb58f180 · outbound
This paper cites Chiang, R.
Spectral Born machines: classically trainable quantum generative models for discrete data Chiang, R
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.380961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0ae53bd8-6b34-47b8-9cc6-04bf87af4574 · outbound
This paper cites The termm i ·k i depends only oniand is the i-th entry of (M⊙K)1 n, which we broadcast across|Z| columns by right-multiplying with1 T |Z|.
Spectral Born machines: classically trainable quantum generative models for discrete data The termm i ·k i depends only oniand is the i-th entry of (M⊙K)1 n, which we broadcast across|Z| columns by right-multiplying with1 T |Z|
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.543349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 15db2e7b-5e21-42aa-9c88-6564d7f356a5 · outbound
This paper cites an unresolved cited work.
Spectral Born machines: classically trainable quantum generative models for discrete data Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:57:51.284363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c8c987a1-1f35-45b0-8f5e-f6e7637912c4 · outbound
This paper cites remove the diagonal.
Spectral Born machines: classically trainable quantum generative models for discrete data remove the diagonal
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:57:51.339544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
Observation aec0f33b-766f-4938-9525-c74671c814f5 · inbound
Cautious optimism for deep parameterized quantum circuits cites this paper.
Cautious optimism for deep parameterized quantum circuits Spectral Born machines: classically trainable quantum generative models for discrete data
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:39:33.980225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0475c95a-560c-4a0c-91e6-b467991eb08b · inbound
Trainability and Mode Separation of Mixed IQP-QCBMs cites this paper.
Trainability and Mode Separation of Mixed IQP-QCBMs Spectral Born machines: classically trainable quantum generative models for discrete data
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:47:12.522432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.