Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T04:23:06.386395Z
Paper Citation Record · LEDGER
Distinguishing Ordered Phases using Machine Learning and Classical Shadows
As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2501.17837.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:36.370979Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:54:37.464695Z
Reference resolution
67 of 67 outbound references displayed
- verified exact1
- verified fuzzy57
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 455f6637-e8a9-4138-a32c-87c1b112d559 · outbound
This paper cites Both models are relevant for describing the magnetic properties of real materials and display rich phase diagrams with multiple ordered and disordered phases.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Both models are relevant for describing the magnetic properties of real materials and display rich phase diagrams with multiple ordered and disordered phases
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.945140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 09c4b44f-1fd5-4691-a6bd-9a30186bcdd0 · outbound
This paper cites In this phase, the system spontaneously breaks the Z2 symmetry σz j 7→ −σz j.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows In this phase, the system spontaneously breaks the Z2 symmetry σz j 7→ −σz j
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.922282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 20c2abca-e4c3-42c2-831f-1e6690f5e142 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:33.081824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1126672b-c28b-46bb-ada5-62cdeb038ebf · outbound
This paper cites antiphase.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows antiphase
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.930040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e3868080-a813-4287-bf87-1b2a77efabcf · outbound
This paper cites floating phase.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows floating phase
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.918115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 143c9fd2-57e5-4fee-97a8-fd74cce7f19b · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:32.926239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ba08d3a-b5b1-4f0e-b2b0-ae657d5dbb6b · outbound
This paper cites This corresponds to a narrow region around the pure Kitaev limit at ϕ = π 2 , where J = 0 and K = 1.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows This corresponds to a narrow region around the pure Kitaev limit at ϕ = π 2 , where J = 0 and K = 1
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.017054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2a2ec996-cc5d-4f0d-9c31-4a17310fcd63 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:32.980927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a809e776-6394-43d3-b8f2-19a486fce3a5 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:32.959424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b1e9d6e7-5944-45ed-bccb-e1058fc89dd4 · outbound
This paper cites Interestingly, this spin liquid phase is significantly wider than its antiferromagnetic counterpart.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Interestingly, this spin liquid phase is significantly wider than its antiferromagnetic counterpart
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.941100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 746c9991-fd24-4d6d-a08e-67b5007d3df5 · outbound
This paper cites snapshot.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows snapshot
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.904282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2da8de82-613a-45ed-ad9f-3b358c5f94a7 · outbound
This paper cites Solving the quantum many-body problem with artificial neural networks.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Solving the quantum many-body problem with artificial neural networks
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.970436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 41d19fbc-2dcc-452d-b145-ce05022d1109 · outbound
This paper cites Neural-network quantum state tomography.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Neural-network quantum state tomography
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.893483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8aed945f-98c4-420e-ae81-58efed83d104 · outbound
This paper cites Machine learning and the physical sciences.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Machine learning and the physical sciences
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.937383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6dcab316-f08f-4845-87e7-6eaf34483288 · outbound
This paper cites Machine learning for quantum matter.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Machine learning for quantum matter
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.013282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c832f2ff-d4f4-4131-b399-8126d22349ed · outbound
This paper cites Predicting many properties of a quantum system from very few measurements.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Predicting many properties of a quantum system from very few measurements
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.875492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c521617-ddec-4260-999b-3dfebb086bbe · outbound
This paper cites Machine learning phases of matter.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Machine learning phases of matter
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.860655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c1a7336-e457-4243-a1e0-95ed4748bbe4 · outbound
This paper cites Machine learning of quantum phase transitions.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Machine learning of quantum phase transitions
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.864208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f47b7a34-5c43-4613-bbfb-fbed460f228d · outbound
This paper cites Unsupervised machine learning of quantum phase transitions using diffusion maps.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unsupervised machine learning of quantum phase transitions using diffusion maps
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.857079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b66944c7-00bf-4018-9228-c614ce9dd87e · outbound
This paper cites Machine learning quantum phases of matter beyond the fermion sign problem.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Machine learning quantum phases of matter beyond the fermion sign problem
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.002499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 13f52531-0b63-41f1-989d-2948d9de999f · outbound
This paper cites Identifying topological order through unsupervised machine learning.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Identifying topological order through unsupervised machine learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.871772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e9b61b6b-fa8a-4593-8485-20bb9cc3b1cd · outbound
This paper cites Machine learning of quantum phase transitions.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Machine learning of quantum phase transitions
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.910882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c799085f-1b5c-4c50-86c2-a0ae021d9bba · outbound
This paper cites Machine learning phase transitions with a quantum processor.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Machine learning phase transitions with a quantum processor
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.984310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9478664c-fd04-477a-8cab-f55155459228 · outbound
This paper cites Predicting topological invariants and unconventional superconducting pairing from density of states and machine learning.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Predicting topological invariants and unconventional superconducting pairing from density of states and machine learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:25:23.568159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c8a52a8e-deee-4a49-bb4a-9d4e646bc413 · outbound
This paper cites Topological quantum phase transitions retrieved through unsupervised machine learning.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Topological quantum phase transitions retrieved through unsupervised machine learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.075253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 22e71465-932c-4e22-88bf-1d3fd251ec12 · outbound
This paper cites Quantum monte carlo simulations of solids.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Quantum monte carlo simulations of solids
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.991788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f86dc73b-6e4a-4a4e-b925-8fbbfe6bc87b · outbound
This paper cites Efficient quantum state tomography.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Efficient quantum state tomography
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.065159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 03febfdd-2dcb-4ef0-9723-06b08c15c3d8 · outbound
This paper cites Challenges and opportunities in quantum machine learning.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Challenges and opportunities in quantum machine learning
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.973917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 70a0456f-be34-44c3-99bc-b24c5954ef3f · outbound
This paper cites Training variational quantum algorithms is np-hard.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Training variational quantum algorithms is np-hard
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.963421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e6e38cf2-780c-4c0a-a2b9-c80e6e1e9419 · outbound
This paper cites Power of data in quantum machine learning.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Power of data in quantum machine learning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.061475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6d10776d-2526-41e8-b801-8582bf20f1b7 · outbound
This paper cites Shadow tomography of quantum states.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Shadow tomography of quantum states
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.068698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 88b438c3-4d7a-442b-84ab-be6a64d76fdf · outbound
This paper cites The annni model—theoretical analysis and experimental application.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows The annni model—theoretical analysis and experimental application
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.071907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 458d26af-9f94-4e1a-9d90-8081ee4520d4 · outbound
This paper cites Sørensen, and Hae-Young Kee.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Sørensen, and Hae-Young Kee
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.084940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 70b03f75-7531-442b-8b4e-81b4c4bbee1e · outbound
This paper cites Topological characterization of quantum phase transitions in a spin-1/2 model.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Topological characterization of quantum phase transitions in a spin-1/2 model
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.051339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0b5a3dbd-d0af-4b74-95b5-3829f95ebfe8 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:33.054495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aa5b71a7-ac44-4908-935e-73891ab2bf93 · outbound
This paper cites Least squares quantization in pcm.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Least squares quantization in pcm
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.043878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f3b28bda-5dc5-4208-8c30-95865af52569 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:33.023147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7dc650a3-06c9-43df-987c-3f57e200d1e8 · outbound
This paper cites Villain and P.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Villain and P
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.020136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e9f2297f-701c-4a01-b78d-fa1f6ebafa6d · outbound
This paper cites A two-leg quantum ising ladder: a bosonization study of the ANNNI model.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows A two-leg quantum ising ladder: a bosonization study of the ANNNI model
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.036894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9305fb5e-d68f-45dc-8e39-42598f960d5c · outbound
This paper cites The one-dimensional ANNNI model in a transverse field: analytic and numerical study of effective hamiltonians.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows The one-dimensional ANNNI model in a transverse field: analytic and numerical study of effective hamiltonians
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.040217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 51b5c553-9ee7-4206-937e-c32a191ceb0f · outbound
This paper cites Colares Guimarães, João A.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Colares Guimarães, João A
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.047135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 583f6ecf-b72f-4fd5-9b42-8a5130d585c6 · outbound
This paper cites Evidence for a floating phase of the transverse annni model at high frustration.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Evidence for a floating phase of the transverse annni model at high frustration
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.057898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 256e4d5d-1b25-47a2-98cb-91978811a9d9 · outbound
This paper cites Exploring phase transitions by finite- entanglement scaling of MPS in the 1d ANNNI model.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Exploring phase transitions by finite- entanglement scaling of MPS in the 1d ANNNI model
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.088414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11e8140e-0a86-43d5-ba77-60aa83930253 · outbound
This paper cites Anyons in an exactly solved model and beyond.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Anyons in an exactly solved model and beyond
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.033766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4cab1ad3-c915-40d7-9439-da3cef9b751d · outbound
This paper cites Pereira and Reinhold Egger.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Pereira and Reinhold Egger
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.914325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a492784c-2dda-49e4-922a-09df7f51daf2 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:33.026601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0653001d-7d95-4c2f-bfe4-d018b493e5cc · outbound
This paper cites Kitaev-Heisenberg Model on a Honeycomb Lattice: Possible Exotic Phases in Iridium Oxides A2IrO3.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Kitaev-Heisenberg Model on a Honeycomb Lattice: Possible Exotic Phases in Iridium Oxides A2IrO3
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.006198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 545d8f56-a935-439d-8419-1f85b9a7a49e · outbound
This paper cites Manni, J.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Manni, J
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.009872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 92e1e7cc-5a9f-4669-8b34-b09bf3e38961 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:32.998857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 435f0729-2670-4cb2-a124-fc009b7fcf2c · outbound
This paper cites The annni model — theoretical analysis and experimental application.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows The annni model — theoretical analysis and experimental application
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.030060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8156c428-15a2-4439-8f8a-5e9770a3865d · outbound
This paper cites Unveiling phase transitions with machine learning.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unveiling phase transitions with machine learning
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.897101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fc4cdf75-9798-4d85-97fb-fc929292e6e7 · outbound
This paper cites an unresolved cited work.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T04:27:32.977326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 424543d2-656a-47de-9a22-4239e956a42b · outbound
This paper cites Karrasch and D.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Karrasch and D
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.948597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 568a7879-078a-4fbe-a4bc-6cc51ad55cef · outbound
This paper cites Strongly interacting majorana modes in an array of josephson junctions.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Strongly interacting majorana modes in an array of josephson junctions
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.956048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6de7db16-c6ff-4a66-80da-efe470be3979 · outbound
This paper cites Milsted, L.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Milsted, L
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.933494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d3b4c8f1-5bd1-408d-b141-de0b627f9abe · outbound
This paper cites Unveiling phase transitions with machine learning.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Unveiling phase transitions with machine learning
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.952235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b17733c7-66d1-418d-9744-82ae589fc63c · outbound
This paper cites Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:33.078529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7060bf07-a44f-430c-b3fb-03beacfff377 · outbound
This paper cites Quantum spin liquids: a review.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Quantum spin liquids: a review
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.901048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4a234837-fd8f-46a5-a2c7-d6f3c95013aa · outbound
This paper cites Broholm, R.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Broholm, R
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.907531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7ddb24df-0b6b-40c5-a5de-1905576d511d · outbound
This paper cites Ground state and low-energy excitations of the Kitaev-Heisenberg two-leg ladder.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Ground state and low-energy excitations of the Kitaev-Heisenberg two-leg ladder
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.988113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0a5eb270-528d-4efb-93a6-67fa207e2bc1 · outbound
This paper cites Rau, Eric Kin-Ho Lee, and Hae-Young Kee.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Rau, Eric Kin-Ho Lee, and Hae-Young Kee
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.882703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4d66674e-34d8-4f3e-93ed-bc2697500903 · outbound
This paper cites Beyond Kitaev physics in strong spin-orbit coupled magnets.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Beyond Kitaev physics in strong spin-orbit coupled magnets
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.966913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3629c54d-8638-49df-a11d-9f1fd1f8ce29 · outbound
This paper cites An introduction to topological data analysis: fundamental and practical aspects for data scientists.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows An introduction to topological data analysis: fundamental and practical aspects for data scientists
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.879090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 791b05a6-8637-46c9-a282-55f5461c123d · outbound
This paper cites k- means clustering for persistent homology.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows k- means clustering for persistent homology
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.886444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7bc586dc-7728-433a-b0d8-b1f2c12b9aed · outbound
This paper cites Efficient estimation of pauli observables by derandomization.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Efficient estimation of pauli observables by derandomization
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.889944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3071606f-f950-4c74-988f-8781b026dd66 · outbound
This paper cites Integration k-means clustering method and elbow method for identification of the best customer profile cluster.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Integration k-means clustering method and elbow method for identification of the best customer profile cluster
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.995401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 60871921-71f2-4735-9fac-4c5fc1d07688 · outbound
This paper cites Em algorithms for pca and spca.
Distinguishing Ordered Phases using Machine Learning and Classical Shadows Em algorithms for pca and spca
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T04:27:32.867714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation efcd039e-a626-4ff8-8046-463e30d13348 · inbound
Quantum Algorithm Software for Condensed Matter Physics cites this paper.
Quantum Algorithm Software for Condensed Matter Physics Distinguishing Ordered Phases using Machine Learning and Classical Shadows
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:54:37.469649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.