Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:47:55.574556Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2505.06419.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:47:55.574556Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:47:04.538683Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T06:29:00.579434Z
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8ec4ff60-0cf4-40b3-809f-00658edcf611 · outbound
Initialization and training of matrix product state probabilistic models Larochelle and I
Reference 1
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Observation cd600696-b04a-4a4b-94da-b54508194d66 · outbound
Initialization and training of matrix product state probabilistic models Germain, K
Reference 2
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Observation 1b8643ae-1c21-4781-9a92-9eaf531ce16f · outbound
Initialization and training of matrix product state probabilistic models PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Reference 3
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Observation c389c749-5c2a-4118-9910-9c13121d8e1d · outbound
Initialization and training of matrix product state probabilistic models Auto-Encoding Variational Bayes
Reference 4
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Observation fb7842a4-b2ec-44fc-8e71-fdf6e8262de1 · outbound
Initialization and training of matrix product state probabilistic models LeCun, S
Reference 5
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Observation 4e2cf00b-33ff-4858-9a45-40455e4d044f · outbound
Initialization and training of matrix product state probabilistic models Rezende and S
Reference 6
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Observation cd1256e8-71c6-40a4-a0bf-f8e4498d4aff · outbound
Initialization and training of matrix product state probabilistic models Goodfellow, J
Reference 7
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Observation 1a1cd3c4-0369-4b1b-91f3-ee80ce21af18 · outbound
Initialization and training of matrix product state probabilistic models Score-Based Generative Modeling through Stochastic Differential Equations
Reference 8
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Observation 949a5e4f-6abe-4d27-8fa3-4339ba296081 · outbound
Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 9
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Initialization and training of matrix product state probabilistic models Generative modeling via tensor train sketching
Reference 10
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Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 11
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Observation e24439df-5176-41ac-a7b5-cead8f978d91 · outbound
Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 12
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Observation 22995831-5b13-4001-b875-495df66d7749 · outbound
Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 13
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Observation b8c075a3-4667-45b7-8065-a48701609a9a · outbound
Initialization and training of matrix product state probabilistic models Glasser, R
Reference 14
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Observation 9b707c3f-e1c7-482b-aa71-469afc5228cb · outbound
Initialization and training of matrix product state probabilistic models Cramer, M
Reference 15
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Observation 9c9b1f37-8c51-49d1-b13d-71388055d429 · outbound
Initialization and training of matrix product state probabilistic models Lanyon, C
Reference 16
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Observation 80794ef4-a2f5-4423-a5a4-2901d898908a · outbound
Initialization and training of matrix product state probabilistic models Mitarai, M
Reference 17
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Observation 7781ffe2-5de4-41e4-a1df-a997cb121c01 · outbound
Initialization and training of matrix product state probabilistic models PennyLane: Automatic differentiation of hybrid quantum-classical computations
Reference 18
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Observation 386e3de2-5141-4d96-8d45-cdfc10c91182 · outbound
Initialization and training of matrix product state probabilistic models Schuld, V
Reference 19
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Observation c14b7c24-fa72-4752-ac81-162dff9cb04e · outbound
Initialization and training of matrix product state probabilistic models Glorot and Y
Reference 20
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Observation 5ae8e4a8-7213-4c7c-b527-8c6768ad971e · outbound
Initialization and training of matrix product state probabilistic models Pascanu, T
Reference 21
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Observation e1dc2504-7259-4dad-acb2-edd5e84cb3d6 · outbound
Initialization and training of matrix product state probabilistic models Erhan, A
Reference 22
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Observation fd21de7e-af6c-4d2e-8ae7-474924af7050 · outbound
Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 23
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Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 24
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Initialization and training of matrix product state probabilistic models Cerezo, A
Reference 25
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Observation 67408481-6589-4ee6-8b60-d9da4ae36651 · outbound
Initialization and training of matrix product state probabilistic models Cerezo and P
Reference 26
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Observation 760fad6d-237a-43df-87f0-8af73eaac771 · outbound
Initialization and training of matrix product state probabilistic models Beyond Barren Plateaus: Quantum Variational Algorithms Are Swamped With Traps
Reference 27
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Observation 53842074-1dcb-4540-8030-fa39cc6bdc09 · outbound
Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 28
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Observation 18777d4f-337b-44d7-89f5-757ac914bbaf · outbound
Initialization and training of matrix product state probabilistic models Dborin, F
Reference 29
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Initialization and training of matrix product state probabilistic models Vogel and H
Reference 30
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Observation faba8537-4c7b-4d7a-963f-69f75ac247a4 · outbound
Initialization and training of matrix product state probabilistic models Leonhardt, Physical review letters74, 4101 (1995)
Reference 31
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Observation c2de9c4e-4419-41a3-a5ed-5cec7bec88f8 · outbound
Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 32
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Observation a3426119-f8f1-4e47-bfb5-bdb4c6bac099 · outbound
Initialization and training of matrix product state probabilistic models Torlai, G
Reference 33
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Observation 068c1df9-8690-4391-99b1-2759465d860f · outbound
Initialization and training of matrix product state probabilistic models Haegeman, J
Reference 34
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Initialization and training of matrix product state probabilistic models Haegeman, C
Reference 35
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Initialization and training of matrix product state probabilistic models Oseledets and E
Reference 36
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Initialization and training of matrix product state probabilistic models Unresolved cited work
Reference 37
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Observation a05bdd94-98c6-4416-88bb-35a6e9f32d0d · outbound
Initialization and training of matrix product state probabilistic models One likely explanation for the 2-site DMRG method encountering 12 local minima issues is that the truncation step in the 2-site DMRG is not variational
Reference 38
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Observation f1beaea4-2809-479d-a96b-ee390cda11e6 · inbound
Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms Initialization and training of matrix product state probabilistic models
Reference 34
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Variational inference and density estimation with non-negative tensor train Initialization and training of matrix product state probabilistic models
Reference 31
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