Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow | Paper Citation Record

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Unresolved cited work

Reference 1

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This paper cites basis spins.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow basis spins

Reference 2

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This paper cites This trick is often applied to gain numerical stability, as�(�) can vary over many orders of magnitude, which is related to requiring large correlation orders.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow This trick is often applied to gain numerical stability, as�(�) can vary over many orders of magnitude, which is related to requiring large correlation orders

Reference 3

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This paper cites Quantum monte carlo simulations of solids,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Quantum monte carlo simulations of solids,

Reference 4

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Unresolved cited work

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This paper cites The sign problem in quantum monte carlo simulations,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow The sign problem in quantum monte carlo simulations,

Reference 6

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This paper cites The density-matrix renormalization group in the age of matrix product states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow The density-matrix renormalization group in the age of matrix product states,

Reference 7

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This paper cites Solving the quantum many-body problem with artificial neural net- works,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Solving the quantum many-body problem with artificial neural net- works,

Reference 8

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This paper cites Empowering deep neural quantum states through efficient optimization,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Empowering deep neural quantum states through efficient optimization,

Reference 9

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This paper cites Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions

Reference 10

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This paper cites Transformer variational wave functions for frus- trated quantum spin systems,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Transformer variational wave functions for frus- trated quantum spin systems,

Reference 11

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This paper cites From architectures to applica- tions: a review of neural quantum states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow From architectures to applica- tions: a review of neural quantum states,

Reference 12

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This paper cites Simulating dynamics of correlated matter with neural quantum states.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Simulating dynamics of correlated matter with neural quantum states

Reference 13

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This paper cites Learning ground states of gapped quantum Hamiltonians with Kernel Methods,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Learning ground states of gapped quantum Hamiltonians with Kernel Methods,

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This paper cites Neural network approach to quasi- particle dispersions in doped antiferromagnets,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Neural network approach to quasi- particle dispersions in doped antiferromagnets,

Reference 15

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This paper cites Neural network quan- tum states for the interacting hofstadter model with higher local occupations and long-range interactions,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Neural network quan- tum states for the interacting hofstadter model with higher local occupations and long-range interactions,

Reference 16

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This paper cites Comment on “can neural quantum states learn volume-law ground states?.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Comment on “can neural quantum states learn volume-law ground states?

Reference 17

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This paper cites Ap- proximately symmetric neural networks for quantum spin liquids,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Ap- proximately symmetric neural networks for quantum spin liquids,

Reference 18

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This paper cites Efficient representation of quantum many-body states with deep neural networks,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Efficient representation of quantum many-body states with deep neural networks,

Reference 19

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This paper cites Neural tensor contractions and the expressive power of deep neural quantum states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Neural tensor contractions and the expressive power of deep neural quantum states,

Reference 20

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This paper cites Quantum entanglement in neural network states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Quantum entanglement in neural network states,

Reference 21

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Neural-network quan- tum states, string-bond states, and chiral topological states,

Reference 22

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This paper cites Interpretable scaling behavior in sparse subnetwork representations of quantum states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Interpretable scaling behavior in sparse subnetwork representations of quantum states,

Reference 23

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Constructing exact representations of quantum many-body systems with deep neural networks,

Reference 24

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This paper cites Neural Network Ground State from the Neural Tangent Kernel Perspective: The Sign Bias.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Neural Network Ground State from the Neural Tangent Kernel Perspective: The Sign Bias

Reference 25

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This paper cites A simple linear algebra identity to optimize large-scale neural net- work quantum states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow A simple linear algebra identity to optimize large-scale neural net- work quantum states,

Reference 26

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Efficiency of neural quantum states in light of the quantum geometric ten- sor,

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This paper cites Double descent: When do neural quantum states generalize?.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Double descent: When do neural quantum states generalize?

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This paper cites Can neural quantum states learn volume-law ground states?.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Can neural quantum states learn volume-law ground states?

Reference 29

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Approximation by superpositions of a sig- moidal function,

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Multilayer feedforward networks are universal approxi- mators,

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks,

Reference 32

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Investigating topological order using recurrent neural networks,

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Variational neural annealing,

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Accurate compu- tation of quantum excited states with neural networks,

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This paper cites Solving the Hubbard model with Neural Quantum States.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Solving the Hubbard model with Neural Quantum States

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This paper cites Convolutional transformer wave functions.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Convolutional transformer wave functions

Reference 37

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This paper cites Accurate neural quantum states for interacting lattice bosons,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Accurate neural quantum states for interacting lattice bosons,

Reference 38

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Machine learning topological states,

Reference 39

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Observation efea4fa9-c3ed-4e37-b3f8-372a0e1665a6 · outbound

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Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Chiral topological phases from artificial neural networks,

Reference 40

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This paper cites Efficient repre- sentation of topologically ordered states with restricted boltzmann machines,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Efficient repre- sentation of topologically ordered states with restricted boltzmann machines,

Reference 41

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This paper cites When can classical neural networks represent quantum states?.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow When can classical neural networks represent quantum states?

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This paper cites Correlation-enhanced neural net- works as interpretable variational quantum states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Correlation-enhanced neural net- works as interpretable variational quantum states,

Reference 43

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This paper cites Corre- lator convolutional neural networks as an interpretable architecture for image-like quantum matter data,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Corre- lator convolutional neural networks as an interpretable architecture for image-like quantum matter data,

Reference 44

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This paper cites Decomposing neural networks as mappings of correlation functions,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Decomposing neural networks as mappings of correlation functions,

Reference 45

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This paper cites Interpretable correlator trans- former for image-like quantum matter data,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Interpretable correlator trans- former for image-like quantum matter data,

Reference 46

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Observation 81b91ad9-d5ae-4c81-8aa3-134f8a603b67 · outbound

This paper cites Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Reference 47

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This paper cites Gauge equivariant neural networks for quan- tum lattice gauge theories,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Gauge equivariant neural networks for quan- tum lattice gauge theories,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.463538Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29c7ea01-6248-4825-a884-41765e868072 · outbound

This paper cites Preparing topological states with finite depth simultaneous com- muting gates,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Preparing topological states with finite depth simultaneous com- muting gates,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.452637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0ac2299-0446-4fa7-a64c-4a132c753667 · outbound

This paper cites an unresolved cited work.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:26:45.440720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76e08d17-415c-4ddf-98bd-65c7075235c9 · outbound

This paper cites Recur- rent neural network wave functions,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Recur- rent neural network wave functions,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.829577Z

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Unavailable: canonical work link unavailable.

Observation 5b84d7b4-3f79-40df-8665-61bab8d40103 · outbound

This paper cites Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.833295Z

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Observation 7af7dbc8-46c7-424c-ac81-cf4709456f7a · outbound

This paper cites Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.423313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79c4dee6-e7bd-418c-adab-4dcd2f6e9a69 · outbound

This paper cites Learning complexity of many-body quantum sign structures through the lens of Boolean Fourier analysis.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Learning complexity of many-body quantum sign structures through the lens of Boolean Fourier analysis

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.840726Z

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Observation ca6bb39b-5749-47cd-854f-222dd1385a00 · outbound

This paper cites Enhancing Neural-Network Variational Monte Carlo through Basis Transformation.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Enhancing Neural-Network Variational Monte Carlo through Basis Transformation

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:26:45.021077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36503286-572c-47f9-95c0-4f26b983a35f · outbound

This paper cites Enhancing the Expressivity of Variational Neural, and Hardware-Efficient Quantum States Through Orbital Rotations.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Enhancing the Expressivity of Variational Neural, and Hardware-Efficient Quantum States Through Orbital Rotations

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.848153Z

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Unavailable: canonical work link unavailable.

Observation 056707d6-1789-4474-985b-8fbeeac2e990 · outbound

This paper cites Physics-informed transformers for electronic quantum states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Physics-informed transformers for electronic quantum states,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.411709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 75e946e6-6ef6-4fe0-ad73-2847bc6441f7 · outbound

This paper cites Kolmogorov complexity,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Kolmogorov complexity,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.401034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81f2323d-7c91-437a-aeeb-6f4a42081598 · outbound

This paper cites Three tutorial lectures on entropy and counting.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Three tutorial lectures on entropy and counting

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.858934Z

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Observation 3d2d8630-1d18-46a5-89aa-93b3b371158b · outbound

This paper cites Nnqs-transformer: an efficient and scal- able neural network quantum states approach for ab ini- tio quantum chemistry,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Nnqs-transformer: an efficient and scal- able neural network quantum states approach for ab ini- tio quantum chemistry,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.389930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df2dda6f-bbc0-4134-8c13-f0ee19581f58 · outbound

This paper cites Transformer wave function for two dimensional frustrated magnets: Emer- gence of a spin-liquid phase in the shastry-sutherland model,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Transformer wave function for two dimensional frustrated magnets: Emer- gence of a spin-liquid phase in the shastry-sutherland model,

Reference 61

Resolution: malformed identifier; no resolver link, observed 2026-08-15T17:26:44.866198Z

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Unavailable: canonical work link unavailable.

Observation b0154341-1a16-46e4-b037-355a280c03f6 · outbound

This paper cites Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.377471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8cceec69-af6a-4177-b8e3-a3048327f13a · outbound

This paper cites Fermionic wave func- tions from neural-network constrained hidden states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Fermionic wave func- tions from neural-network constrained hidden states,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.365981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef1de59e-f114-4801-8cb2-7a6deba384c3 · outbound

This paper cites Efficiency of the hidden fermion determinant states ansatz in the light of different complexity measures,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Efficiency of the hidden fermion determinant states ansatz in the light of different complexity measures,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.354746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30f1aa67-3a75-4c36-b572-1cea89e53f8b · outbound

This paper cites Simulating the two-dimensional $t-J$ model at finite doping with neural quantum states.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Simulating the two-dimensional $t-J$ model at finite doping with neural quantum states

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.880475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e800a751-511c-4278-9edd-e95ae3e1e52e · outbound

This paper cites Backflow transformations via neural networks for quantum many-body wave func- tions,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Backflow transformations via neural networks for quantum many-body wave func- tions,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.343571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b18ffad2-2e6f-459b-9d40-580f3a255a60 · outbound

This paper cites Fine-tuning neural network quantum states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Fine-tuning neural network quantum states,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.330513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86382c8c-4fc3-4663-9ba2-67bc4e263b02 · outbound

This paper cites Fermionic neural-network states for ab-initio electronic structure,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Fermionic neural-network states for ab-initio electronic structure,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.317006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1221735-3149-467d-b0ba-37126c91f937 · outbound

This paper cites Netket: A machine learning toolkit for many-body quantum systems,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Netket: A machine learning toolkit for many-body quantum systems,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.304379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c4d2125-5021-4275-9b5d-a2a9f6a0defb · outbound

This paper cites Vii. problems concerning interpola- tions,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Vii. problems concerning interpola- tions,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.290846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2007ae4-7b21-4ac3-b2c3-d89808aeb1d4 · outbound

This paper cites Chapter 14 - interpolation,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Chapter 14 - interpolation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.279070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95a11ac3-6b35-4d47-9e98-1b12037c11f5 · outbound

This paper cites Multiscale interpolative construction of quantized tensor trains.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Multiscale interpolative construction of quantized tensor trains

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.905045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196f55a5-4e83-4eb7-9a18-c3d772eadfd8 · outbound

This paper cites Minimal in- stances for toric code ground states,.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow Minimal in- stances for toric code ground states,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:26:45.268275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 707ac25f-c8c1-4916-b75d-fb58868a3b66 · outbound

This paper cites A graph-based approach to entanglement entropy of quantum error correcting codes.

Time-Incremented Multiscale Evolution (TIME): A Code-Independent Method for Time-Domain 3D Hydrodynamics and its Application to Roche Lobe Overflow A graph-based approach to entanglement entropy of quantum error correcting codes

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:44.912274Z

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