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.

pith.paper-citation-record.v1
2607.06675 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T23:38:11.157041Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:39:33.980225Z

measured 0 of 1 external citation measurements

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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.