Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:07:48.134400Z
Paper Citation Record · LEDGER
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials
As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.23160.
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 2026-08-17T06:30:58.91139+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
Reference resolution
46 of 46 outbound references displayed
- verified exact2
- verified fuzzy43
- unresolved1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 439a5776-50c3-48af-b2f8-f05d89b0e0a0 · outbound
This paper cites Machine learning in materials informatics: re- cent applications and prospects.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Machine learning in materials informatics: re- cent applications and prospects
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:50.054749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3310a194-2cab-4e1d-9d46-4da75e63bc02 · outbound
This paper cites A Review of the Progress of Thin- Film Transistors and Their Technologies for Flexible Electronics.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials A Review of the Progress of Thin- Film Transistors and Their Technologies for Flexible Electronics
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:50.045904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 270050db-d868-4b20-b5cf-b69bd1caba72 · outbound
This paper cites Ultrabright and stable top- emitting quantum-dot light-emitting diodes with negligible angular color shift.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Ultrabright and stable top- emitting quantum-dot light-emitting diodes with negligible angular color shift
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:50.037387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fc9a72d9-9ca9-4f87-8f7a-023dc5c45843 · outbound
This paper cites Achievements, challenges, and future prospects for industrialization of perovskite solar cells.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Achievements, challenges, and future prospects for industrialization of perovskite solar cells
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:50.028467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ec142075-de66-41c7-887b-a48b6de0bcf6 · outbound
This paper cites From Design to Device: Challenges and Opportunities in Com- putational Discovery of p-Type Transparent Conductors.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials From Design to Device: Challenges and Opportunities in Com- putational Discovery of p-Type Transparent Conductors
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:50.019901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e8de4adb-2f60-4be9-a76d-a0a9c00ad52a · outbound
This paper cites p- type electrical conduction in transparent thin films of CuAlO 2.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials p- type electrical conduction in transparent thin films of CuAlO 2
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:50.011205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1f57de35-47d3-48a9-97ae-632dc5b86e32 · outbound
This paper cites AZO (Al:ZnO) thin films with high figure of merit as stable indium free transpar- ent conducting oxide.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials AZO (Al:ZnO) thin films with high figure of merit as stable indium free transpar- ent conducting oxide
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:50.002446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4cfa3198-06d1-4a8d-9374-01b49b6a718a · outbound
This paper cites Crowd-sourcing materials-science chal- lenges with the NOMAD 2018 Kaggle compe- tition.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Crowd-sourcing materials-science chal- lenges with the NOMAD 2018 Kaggle compe- tition
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.993513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 42267434-1489-4171-bfbe-30e00385c442 · outbound
This paper cites Prop- erties of orthorhombic Ga2O3 alloyed with In2O3 and Al2O3.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Prop- erties of orthorhombic Ga2O3 alloyed with In2O3 and Al2O3
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.984934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1e82a5c2-25dc-4cf9-8fe7-3e44945b6b0a · outbound
This paper cites Projector augmented-wave method.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Projector augmented-wave method
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.976179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a732366c-edbf-4757-b4e6-fd1c74a95880 · outbound
This paper cites Efficient itera- tive schemes for ab initio total-energy calcula- tions using a plane-wave basis set.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Efficient itera- tive schemes for ab initio total-energy calcula- tions using a plane-wave basis set
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.967619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0052458f-581e-454a-acc3-e7f9bf15636f · outbound
This paper cites Computational Screening of p- Type Transparent Conducting Oxides Using the Optical Absorption Spectra and Oxygen- Vacancy Formation Energies.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Computational Screening of p- Type Transparent Conducting Oxides Using the Optical Absorption Spectra and Oxygen- Vacancy Formation Energies
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.958581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 036104c9-7d38-4f8d-aa55-c78c1f5312fa · outbound
This paper cites A general-purpose machine-learning frame- work for predicting properties of inorganic ma- terials.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials A general-purpose machine-learning frame- work for predicting properties of inorganic ma- terials
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.949945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b6f9eba3-6e04-4a74-b86c-abd5d09b58c9 · outbound
This paper cites A multi- fidelity machine learning approach to high throughput materials screening.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials A multi- fidelity machine learning approach to high throughput materials screening
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.941525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 246a8930-5b70-456a-9ca7-1a5489e78972 · outbound
This paper cites Identifying domains of applicability of ma- chine learning models for materials science.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Identifying domains of applicability of ma- chine learning models for materials science
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.932878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2cf19bfc-8cd7-4398-800f-ba4ee8c354d0 · outbound
This paper cites Learning from data to design functional mate- rials without inversion symmetry.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Learning from data to design functional mate- rials without inversion symmetry
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.924355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ed30f88a-e916-4b33-b95b-741b083d98e1 · outbound
This paper cites Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.915892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f58d8350-e77c-4680-a1b3-78efb152fa3f · outbound
This paper cites Factorization Machines.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Factorization Machines
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.907127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 068476bb-aac6-43ad-a7d2-4cf7ac6bf9f4 · outbound
This paper cites BPR: Bayesian person- alized ranking from implicit feedback.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials BPR: Bayesian person- alized ranking from implicit feedback
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.898938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ba4cb4d-7028-4fec-85d7-4f055ed8d520 · outbound
This paper cites Optimization by Simulated Annealing.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Optimization by Simulated Annealing
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.889997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 04bce6eb-2b2d-451f-bcfc-1b9053197ef0 · outbound
This paper cites Quantum an- nealing in the transverse Ising model.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Quantum an- nealing in the transverse Ising model
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.881522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 04149638-9e21-4c6e-a883-ed4918ef5832 · outbound
This paper cites Designing metamaterials with quantum annealing and factorization ma- chines.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Designing metamaterials with quantum annealing and factorization ma- chines
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.872715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 10d2e08e-3d8c-4aec-a176-40852f640377 · outbound
This paper cites Quan- tum annealing-assisted lattice optimization.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Quan- tum annealing-assisted lattice optimization
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.864118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e1d44c8c-7f5e-43c4-b54d-78551bac7286 · outbound
This paper cites A super- conducting copper oxide compound with elec- trons as the charge carriers.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials A super- conducting copper oxide compound with elec- trons as the charge carriers
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.855617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 16433cae-64b8-446b-9a8b-99afe8463d4e · outbound
This paper cites Transparent p-Type Conducting Oxides: De- sign and Fabrication of p-n Heterojunctions.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Transparent p-Type Conducting Oxides: De- sign and Fabrication of p-n Heterojunctions
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.846685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7fb4553c-dcc1-40bd-bfed-5cdfba077ebd · outbound
This paper cites Transpar- ent conducting materials discovery using high- throughput computing.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Transpar- ent conducting materials discovery using high- throughput computing
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.837739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3361d073-9e09-4d41-bda4-6278c790dfb2 · outbound
This paper cites Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Ma- terial Properties.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Ma- terial Properties
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.829077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fa8c3de1-4701-4602-9b28-682e1786f37c · outbound
This paper cites Graph Networks as a Univer- sal Machine Learning Framework for Molecules and Crystals.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Graph Networks as a Univer- sal Machine Learning Framework for Molecules and Crystals
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.820445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8f867fe4-68a7-47bd-a207-5a696201fb15 · outbound
This paper cites Pre- dicting materials properties without crystal structure: deep representation learning from stoichiometry.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Pre- dicting materials properties without crystal structure: deep representation learning from stoichiometry
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.811908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4532be9c-77e6-4df4-b773-e7f4fa50af4f · outbound
This paper cites Generative models for inverse design of inorganic solid materials.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Generative models for inverse design of inorganic solid materials
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.803503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 602265b9-5a77-406b-b090-3bb0e8957a14 · outbound
This paper cites An improved genetic algorithm for crystal structure predic- tion.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials An improved genetic algorithm for crystal structure predic- tion
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.794480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0ab54c50-e335-4cef-9fca-062d283881a1 · outbound
This paper cites Crystal structure pre- diction via particle-swarm optimization.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Crystal structure pre- diction via particle-swarm optimization
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.786065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f67d2e3f-49ce-4078-9f21-13812c960160 · outbound
This paper cites Accelerated search for materials with targeted properties by adaptive design.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Accelerated search for materials with targeted properties by adaptive design
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.777506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b1f3f605-9a32-4d88-b853-29ca144b1ff2 · outbound
This paper cites Bayesian optimization of chemical composition: A comprehensive frame- work and its application to RFe12-type magnet compounds.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Bayesian optimization of chemical composition: A comprehensive frame- work and its application to RFe12-type magnet compounds
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.768485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ae538a54-9236-4c86-ac98-c834f05ab41a · outbound
This paper cites Ultranarrow-Band Wavelength-Selective Thermal Emission with Aperiodic Multilayered Metamaterials De- signed by Bayesian Optimization.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Ultranarrow-Band Wavelength-Selective Thermal Emission with Aperiodic Multilayered Metamaterials De- signed by Bayesian Optimization
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.759282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8f5e4f8e-06cf-4528-aadb-f970c46786ef · outbound
This paper cites Deep Reinforcement Learning for Inverse Inorganic Materials Design.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Deep Reinforcement Learning for Inverse Inorganic Materials Design
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:07:48.661650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a2b02ec4-5014-4c0b-90b2-905279130dcc · outbound
This paper cites Reinforcement learn- ing in crystal structure prediction.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Reinforcement learn- ing in crystal structure prediction
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.750189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 927835f9-2c49-42aa-a924-aa3849b25117 · outbound
This paper cites Learning con- ditional policies for crystal design using of- fline reinforcement learning.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Learning con- ditional policies for crystal design using of- fline reinforcement learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.740629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b0ed8f0a-7c9f-4511-9091-33409f598537 · outbound
This paper cites Deep reinforcement learning for inverse inor- ganic materials design.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Deep reinforcement learning for inverse inor- ganic materials design
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.731194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 69c02aea-8a1b-4602-ad50-771b87b22e74 · outbound
This paper cites High-Performance Trans- parent Radiative Cooler Designed by Quantum Computing.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials High-Performance Trans- parent Radiative Cooler Designed by Quantum Computing
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.720266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1da220ad-0e8f-463e-b9ba-00aa137abafb · outbound
This paper cites Quan- tum annealing-aided design of an ultrathin- metamaterial optical diode.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Quan- tum annealing-aided design of an ultrathin- metamaterial optical diode
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.557129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 61b5bf70-cb30-45a8-9301-c392e103e1c9 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Adam: A Method for Stochastic Optimization
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:07:47.534867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54745c0c-6d65-4ea5-a830-9137c4c6f85a · outbound
This paper cites Multiplier and gradient meth- ods.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Multiplier and gradient meth- ods
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.381536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dcbb1b5c-b86f-44ca-8819-52114a2a2afd · outbound
This paper cites Neural networks and physi- cal systems with emergent collective computa- tional abilities.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Neural networks and physi- cal systems with emergent collective computa- tional abilities
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:49.153988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0d0bface-a071-4bd1-a718-a690a5a06575 · outbound
This paper cites Function Smoothing Regularization for Precision Factorization Machine Annealing in Continuous Variable Optimization Problems.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Function Smoothing Regularization for Precision Factorization Machine Annealing in Continuous Variable Optimization Problems
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:07:48.363962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6a88ca2-b573-448b-a5a1-808d1ac1a3c8 · outbound
This paper cites Optuna: A Next- generation Hyperparameter Optimization Framework.
Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials Optuna: A Next- generation Hyperparameter Optimization Framework
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:07:48.914225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.