Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning | Paper Citation Record

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This paper cites Using quantum Bayes’ theorem [45], we derive a general formulation for the posterior distribution state whose measurement distribution corre- sponds to the ground-truth posterior.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Using quantum Bayes’ theorem [45], we derive a general formulation for the posterior distribution state whose measurement distribution corre- sponds to the ground-truth posterior

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This paper cites Sohl-Dickstein, E.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Sohl-Dickstein, E

Reference 6

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This paper cites , and fN such that: x(j) = fj(x(1)) for j = 2,...,N.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning , and fN such that: x(j) = fj(x(1)) for j = 2,...,N

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This paper cites For problems with non-binary data,⌈log2(KN)⌉ qubits can be used to handle them.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning For problems with non-binary data,⌈log2(KN)⌉ qubits can be used to handle them

Reference 12

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This paper cites In Section IID, we introduce how to train the quantum circuit to model pθ(x0|xt).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning In Section IID, we introduce how to train the quantum circuit to model pθ(x0|xt)

Reference 13

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Observation f17c8a37-3b9f-4c3f-a3a9-848a7381a4cd · outbound

This paper cites In existing discrete diffusion models, this posterior is derived via Bayes’ theorem.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning In existing discrete diffusion models, this posterior is derived via Bayes’ theorem

Reference 14

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This paper cites The ground-truth posterior distribution is obtained by measuring˜ρt−1 in the computational basis: q(xt−1|xt,x0) = Tr(|xt−1⟩⟨xt−1|˜ρt−1).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning The ground-truth posterior distribution is obtained by measuring˜ρt−1 in the computational basis: q(xt−1|xt,x0) = Tr(|xt−1⟩⟨xt−1|˜ρt−1)

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This paper cites Since the diffusion process has no trainable parameters, the optimization focuses on theLt−1 andL0 terms.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Since the diffusion process has no trainable parameters, the optimization focuses on theLt−1 andL0 terms

Reference 16

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This paper cites Figure 6(a) plots the KL divergence from the target distribution for both QD3PM and the factor- ization method as a function of the qubit countN.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Figure 6(a) plots the KL divergence from the target distribution for both QD3PM and the factor- ization method as a function of the qubit countN

Reference 17

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Observation 85d0b5d3-381b-4031-876b-80105d83574e · outbound

This paper cites The first row displays the training convergence trajectories of the KL divergence.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning The first row displays the training convergence trajectories of the KL divergence

Reference 18

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This paper cites (32) Substituting into the KL divergence: DKL(P∥Qc) = X x P (x) log P (x)QN i=1P (x(i)).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning (32) Substituting into the KL divergence: DKL(P∥Qc) = X x P (x) log P (x)QN i=1P (x(i))

Reference 19

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This paper cites For each dimensioni, the marginal entropyH(P (x(i))) will reach its maximum when P (x(i)) is a uniform distribution.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning For each dimensioni, the marginal entropyH(P (x(i))) will reach its maximum when P (x(i)) is a uniform distribution

Reference 20

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Reference 21

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This paper cites (47) Another part is d−1X x=0 |x⟩⟨x|Xt⊗|x⟩⟨x|Ht ! · (1−αt)IHt d ⊗IHt−1 d = (1−αt) d2 d−1X x=0 |x⟩⟨x|Xt⊗|x⟩⟨x|Ht⊗IHt−1.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning (47) Another part is d−1X x=0 |x⟩⟨x|Xt⊗|x⟩⟨x|Ht ! · (1−αt)IHt d ⊗IHt−1 d = (1−αt) d2 d−1X x=0 |x⟩⟨x|Xt⊗|x⟩⟨x|Ht⊗IHt−1

Reference 22

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This paper cites (53) This completes the proof.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning (53) This completes the proof

Reference 23

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Observation 5f284021-112b-476c-9ec2-2d123e8b827b · outbound

This paper cites Auto-Encoding Variational Bayes.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Auto-Encoding Variational Bayes

Reference 24

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This paper cites LeCun, Y.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning LeCun, Y

Reference 25

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This paper cites Goodfellow et al., Communications of the ACM63, 139 (2020).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Goodfellow et al., Communications of the ACM63, 139 (2020)

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This paper cites Bond-Taylor, A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Bond-Taylor, A

Reference 27

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

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This paper cites Rombach, A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Rombach, A

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This paper cites Croitoru, V.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Croitoru, V

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Observation 66436fb8-fcca-4c03-9b12-76d4e946e138 · outbound

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Austin et al., Advances in Neural Information Processing Systems34, 17981 (2021)

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This paper cites Hoogeboom, D.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Hoogeboom, D

Reference 34

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This paper cites Campbell et al., Advances in Neural Information Processing Systems35, 28266 (2022).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Campbell et al., Advances in Neural Information Processing Systems35, 28266 (2022)

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This paper cites He et al., inProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2023), pp.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning He et al., inProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2023), pp

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

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Observation 8179b753-d51a-4d5c-9237-7aa5304de00f · outbound

This paper cites Susladkar, J.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Susladkar, J

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This paper cites Kong et al., inInternational Conference on Machine Learning(PMLR, 2023), pp.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Kong et al., inInternational Conference on Machine Learning(PMLR, 2023), pp

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Observation 84cf479e-e75f-4009-81a1-33762805852b · outbound

This paper cites Tian et al., IEEE Transactions on Pattern Analysis and Machine Intelligence45, 12321 (2023).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Tian et al., IEEE Transactions on Pattern Analysis and Machine Intelligence45, 12321 (2023)

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Observation d3ab9d87-4d26-4ff9-b7d5-dfded5c7398a · outbound

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

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Observation c659f29a-3dbb-4b08-8f5f-b947978f9494 · outbound

This paper cites Furthermore, these approaches ne- cessitate an extensive number of denoising iterations to maintain sampling quality [44], thus significantly reducing computational efficiency.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Furthermore, these approaches ne- cessitate an extensive number of denoising iterations to maintain sampling quality [44], thus significantly reducing computational efficiency

Reference 43

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Observation 0f8453a2-d01d-451f-8a8b-14739a576f69 · outbound

This paper cites Lloyd and C.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Lloyd and C

Reference 44

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Observation 3317b66e-a5c2-435d-9df8-956f2ed23526 · outbound

This paper cites Dallaire-Demers and N.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Dallaire-Demers and N

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Observation f5ddd982-97c8-48c2-8356-0fdd4595f723 · outbound

This paper cites Chakrabarti, H.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Chakrabarti, H

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Observation 276c1370-9596-4d38-8b4c-195a1168aea0 · outbound

This paper cites Zoufal, A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Zoufal, A

Reference 47

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 48

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This paper cites Huang, Z.-A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Huang, Z.-A

Reference 49

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 50

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Observation 5ea50bb1-c4dc-4946-992e-e852e93ddf7e · outbound

This paper cites Silver et al., inProceedings of the IEEE/CVF International Conference on Computer Vision(2023), pp.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Silver et al., inProceedings of the IEEE/CVF International Conference on Computer Vision(2023), pp

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Observation 4270f005-b085-408f-8cb7-b91af42dea4b · outbound

This paper cites Ma et al., EPJ Quantum Technology12, 3 (2025).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Ma et al., EPJ Quantum Technology12, 3 (2025)

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Observation 2606e66f-664c-4c1b-94be-ac173c2fbf91 · outbound

This paper cites Parigi, S.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Parigi, S

Reference 53

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Observation 2c71dec7-b852-43e6-a7dd-9806d6fee519 · outbound

This paper cites Zhang, P.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Zhang, P

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:48.029108Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 575fe5ae-fcff-4ef6-bb78-f227dfcc7858 · outbound

This paper cites Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.114829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b557d0d-84fa-4c17-8031-fb3e40d1c6e5 · outbound

This paper cites De Falco, A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning De Falco, A

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:48.018120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91acae09-64c9-4b3b-ad6c-c5975444cfdb · outbound

This paper cites De Falco, A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning De Falco, A

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:48.007964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0faa24b3-e4ab-474d-92c8-68f74afaa943 · outbound

This paper cites Mixed-State Quantum Denoising Diffusion Probabilistic Model.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Mixed-State Quantum Denoising Diffusion Probabilistic Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.126251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18ef721a-435a-42d3-8c75-a75ab51f6e9c · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.130669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4af5a04-872c-49b0-abbc-40110e0283b3 · outbound

This paper cites Liu and L.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Liu and L

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.991263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc07d152-dcec-4b7c-8fbe-5497db6365ad · outbound

This paper cites Khoshaman et al., Quantum Science and Technology4, 014001 (2018).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Khoshaman et al., Quantum Science and Technology4, 014001 (2018)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.980903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b3219e8-3742-4df3-b02a-8e45af1c230d · outbound

This paper cites Benedetti et al., npj Quantum Information5, 45 (2019).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Benedetti et al., npj Quantum Information5, 45 (2019)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.971166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa23545f-dd43-4314-8d15-e9f860f862a7 · outbound

This paper cites Zoufal, A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Zoufal, A

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.960525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fff00899-467a-46d3-9220-740d5ad8980d · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.948655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e347d268-d5b2-4add-8684-072bbc8012da · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.937170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1a68be7-33c6-4041-960c-d91667c60cdd · outbound

This paper cites Distillation of Discrete Diffusion through Dimensional Correlations.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Distillation of Discrete Diffusion through Dimensional Correlations

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.152635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade88142-13c5-4e32-b38b-51d4f3826ab8 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.927417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 38bf737d-a654-4e02-894d-f459d42bf464 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.917381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 532e3e76-5a58-4235-8172-bfd6158ee6a7 · outbound

This paper cites Jamiołkowski, Reports on Mathematical Physics3, 275 (1972).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Jamiołkowski, Reports on Mathematical Physics3, 275 (1972)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.907558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 38ead779-07b5-4710-a171-8ba220e11126 · outbound

This paper cites Choi, Linear Algebra and Its Applications10, 285 (1975).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Choi, Linear Algebra and Its Applications10, 285 (1975)

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.164547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0ce7de9-f656-4d7a-beb6-353e16965963 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.891778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b75efbb1-4e92-49f3-b35f-992255dc7fbc · outbound

This paper cites Yin et al., inProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2024), pp.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Yin et al., inProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2024), pp

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.882283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb21eda4-9b8a-4974-b476-fe207359ded1 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.872483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7364703-3e2e-4233-bc2e-c79e775c7b4b · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.178264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb90e641-3c0a-482c-85f1-b83c26882c6e · outbound

This paper cites Abadi et al., in12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16)(2016), pp.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Abadi et al., in12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16)(2016), pp

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.857535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c23c4d50-738f-4efc-a76a-7e12396d8161 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Adam: A Method for Stochastic Optimization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.184535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e88aee20-aeba-4b95-a2de-11f89d1a7a33 · outbound

This paper cites Zhang et al., Quantum7, 912 (2023).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Zhang et al., Quantum7, 912 (2023)

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.847884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ddd80fd7-8e01-4484-bbca-f68707ea73b5 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.191934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 562f0a3f-5df4-4003-a2d8-e66054f11357 · outbound

This paper cites Zhang, L.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Zhang, L

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.195434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2c8e18d-78e6-4a50-b00f-4bd48940961a · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.831104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 436780ea-34de-4fa2-b54e-868859692bb5 · outbound

This paper cites $\zeta$-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning $\zeta$-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:22:47.407876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d44eebfe-0393-43dd-a061-36aae6dc10f9 · outbound

This paper cites Coopmans and M.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Coopmans and M

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.206262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acec735f-d391-499f-b8a9-f3fc6f808074 · outbound

This paper cites Minervini, D.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Minervini, D

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.209751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9bd4c9e-c72e-4d87-bb1c-2fd94b51be8e · outbound

This paper cites Kyriienko, A.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Kyriienko, A

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.815963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d290aba-7fe6-4e68-a2a2-305dbcfc000e · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.807544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f92c503f-a87a-493e-b53e-a7d35c4c97ae · outbound

This paper cites Coyle, D.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Coyle, D

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.798172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c93efe38-4d25-43c8-951d-1991d57351c8 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.789248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ace5691f-95e3-4a78-855b-e5a04c3077cf · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.778975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb767b69-5fb2-4abe-8631-58632a19d638 · outbound

This paper cites Li and H.-C.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Li and H.-C

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.769039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 352518cc-c841-400b-a5e0-2948b0b62825 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.759229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e87ba438-c813-4386-b1c4-de8b7f3e77af · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.749916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36b34b04-dbdd-4161-a031-1fcae300989b · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.722143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d87aaf6b-3400-4a00-b317-a4ca323159eb · outbound

This paper cites Bertsekas and J.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Bertsekas and J

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.638573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3fb9e082-4206-4d46-a17b-5f5aa77ad6d6 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.629355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b48280a3-21a6-412e-8393-e9bf7fcab073 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.619955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d04b7543-4a8a-4993-aae5-532ab53e4a56 · outbound

This paper cites an unresolved cited work.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:22:47.611520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09a914f2-7b1d-4700-8dcb-d45655cd1c62 · outbound

This paper cites Fürrutter, G.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Fürrutter, G

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.602645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e08ef0b-4bb2-45b0-a183-4507fb8024e2 · outbound

This paper cites He et al., Physical Review A111, 032403 (2025).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning He et al., Physical Review A111, 032403 (2025)

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.592290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5e03097-374f-49e2-95b6-26a515003a8a · outbound

This paper cites Su et al., SCIENCE CHINA Information Sciences (2025).

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Su et al., SCIENCE CHINA Information Sciences (2025)

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.582122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9658919-761d-43d9-bd94-782ef36e6fde · outbound

This paper cites Quantum Generative Adversarial Networks.The study of QGANs began with foundational works in 2018.

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Quantum Generative Adversarial Networks.The study of QGANs began with foundational works in 2018

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:22:47.570962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers