Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:19:59.420252Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2501.08919.
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 2026-08-10T20:19:59.420252Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
75 of 75 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7f57a543-42e7-48f3-8858-03327e813274 · outbound
Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Unresolved cited work
Reference 1
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy C.; Panerai, F.; King, R
Reference 2
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy M.; Liu, Q.; Li, J
Reference 3
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Tuning of thermal stability in layered Li(NixMnyCoz)O2
Reference 4
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Ultrahigh piezoelectricity in ferroelectric ceramics by design
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy J.; Seong, W
Reference 6
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Nanomaterials: A review of synthesis methods, properties, recent progress, and challenges
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy J.; Manna, S.; Chan, M
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Fingerprinting the vibrational signatures of dopants and defects in a fully random alloy: An ab initio case study of Si, Se, and vacancies in In0
Reference 9
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy H.; Liu, P
Reference 10
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Review on anionic redox for high- capacity lithium-and sodium-ion batteries
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy A reflection on lithium-ion battery cathode chemistry
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Max von Laue and the discovery of X‐ray diffraction in 1912
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Review of Recent Development of In Situ/Operando Characterization Techniques for Lithium Battery Research
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy A.; Aaron, D
Reference 15
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Unresolved cited work
Reference 16
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Machine Learning Approach to Enable Spectral Imaging Analysis for Particularly Complex Nanomaterial Systems
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy E.; Suresh, S
Reference 18
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Zimmermann, N
Reference 19
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Reference 20
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Opportunities and Challenges for Machine Learning in Materials Science
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Challenges in computational materials science: Multiple scales, multi- physics and evolving discontinuities
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Ab Initio modeling of Near-Edge EELS spectra for chemisorbed molecules
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy J.; Yang, W.; Sun, C.; Lee, G.; McReynolds, D.; Allan, D.; Marulanda Arias, J
Reference 24
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Unresolved cited work
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy D.; Pate, C
Reference 26
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Deep learning for automated materials characterisation in core-loss electron energy loss spectroscopy
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy A.; Greenop, M.; Ashton, L.; Rehman, I
Reference 29
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy G.; Ramprasad, R
Reference 30
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy N.; Gunsolus, I
Reference 31
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy M.; Manthiram, A
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Unresolved cited work
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Electron energy-loss spectroscopy (EELS) with a cold-field emission scanning electron microscope at low accelerating voltage in transmission mode
Reference 34
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy L.; Dellby, N.; Hachtel, J
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Reference 36
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Reference 38
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy T.; Seidler, G
Reference 39
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy EELS detection limits revisited: Ruby—a case study
Reference 40
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Mn versus Al in layered oxide cathodes in lithium‐ion batteries: a comprehensive evaluation on long‐ term cyclability
Reference 41
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Oxygen Vacancies Driven by Co in the Deeply Charged State Inducing Intragranular Cracking of Ni‐Rich Cathodes
Reference 42
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy H.; Azimi, G
Reference 43
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Reference 44
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy S.; Kaya, S.; Viswanathan, V.; Miller, D
Reference 45
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Anionic redox in rechargeable lithium batteries
Reference 46
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Reference 47
Source-reported events for the cited work
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Strongly Constrained and Appropriately Normed Semilocal Density Functional
Reference 49
Source-reported events for the cited work
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Reference 50
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Reference 51
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Reference 52
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Reference 53
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Reference 55
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Reference 56
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Rationalizing the Effect of Oxygen Vacancy on Oxygen Electrocatalysis in Li–O2 Battery
Reference 57
Source-reported events for the cited work
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Tuning of Thermal Stability in Layered Li(NixMnyCoz)O2
Reference 58
Source-reported events for the cited work
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Role of Superexchange Interaction on Tuning of Ni/Li Disordering in Layered Li(Ni x Mn y Co z )O2
Reference 59
Source-reported events for the cited work
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Reference 60
Source-reported events for the cited work
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Ab initio simulation of the electron energy-loss near-edge structures at the LiK edge in Li, Li2O, and LiMn2O4
Reference 61
Source-reported events for the cited work
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Self-consistent aspects of x-ray absorption calculations
Reference 62
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy P.; Mauri, F
Reference 63
Source-reported events for the cited work
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Reference 64
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Reference 65
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Advances in the OCEAN-3 spectroscopy package
Reference 66
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Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy J.; Kas, J
Reference 67
Source-reported events for the cited work
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Reference 68
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Reference 69
Source-reported events for the cited work
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Reference 70
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 569a0226-8fc4-4284-a41c-cfadcfc6a346 · outbound
Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy In In Towards an empirical foundation for assessing bayesian optimization of hyperparameters; NIPS workshop on Bayesian Optimization in Theory and Practice; 2013; Vol
Reference 71
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 900547b1-49ca-4480-b3ea-f3a518dfa595 · outbound
Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy R.; Talwalkar, A.; Haas, D.; Franklin, M
Reference 72
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f9268892-0f4e-403d-8e68-8161db397493 · outbound
Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Atomic resolution structural and chemical imaging revealing the sequential migration of Ni, Co, and Mn upon the battery cycling of layered cathode
Reference 73
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3bbc302b-97cb-4f29-b2ff-3cd4babe7b97 · outbound
Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy Oxygen Activities Governing Structural Reversibility in Industrial Ni-Rich Layered Cathodes
Reference 74
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6cc480f9-5261-4677-8c4d-056d79a5f11d · outbound
Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy R.; Sheldon, B
Reference 75
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
No inbound Pith citation observations are available.