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Paper Citation Record · LEDGER

Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials

As of 9 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.

pith.paper-citation-record.v1
2507.23160 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:07:48.134400Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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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

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:46.129874Z digest=sha256:04c47d31ade029d633148d6b9df40cd8e0a164264bdc5041630c5335029395cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:46.240325Z digest=sha256:51cc5d9c36fb0c627f783dc73b748016e66110fc8ece87db125c33a5bab9625e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:46.388034Z digest=sha256:18f124c19082bdd2b49772141bb4dab9dc876825d2e15b6b510dd00e4490a3fe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:46.535523Z digest=sha256:e6a56cc13aad417697b71c90c6a756e33b14486499a3b61751e30b334e3d2f43

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:46.726427Z digest=sha256:52857b7c2120c9e71ab1c61ea28fc3be08922e9d15a716cb15578d4c88fafac9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:46.927429Z digest=sha256:a0ea04e73d689b7e6186e31f71422cec868b4698ad9cee43d3a7b489f1ef1ac5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:47.104265Z digest=sha256:33ffe91ed8dd40dececf4d83b20f49a8ea88759e6913ecac0f6ae96950d00729

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:47.220578Z digest=sha256:8e9d7ff4e8613ad622ef20e560582ef827774282c95c0d68f0c25e72c36aa736

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:47.381051Z digest=sha256:456e5492a85e8c3efe7bf19f361331f4a54cd22331a100b2a1d5d2fa8e1dcdde

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.

source=pdf_text observed=2026-08-06T11:07:47.534867Z digest=sha256:a6f5574e696ae62b613a60c3e81dfc6a799d6089c74ad1373b6b199a159f6144

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:47.615670Z digest=sha256:da14c8c092aa604dc7161718ade24ac23844a8723a8de9cc50a778a9bba5db31

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:47.744653Z digest=sha256:b6127f1f4c2fb4f9f2a2c028cb84faf7f1a82c5988bc6674de791e3db00dd6c8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:47.980921Z digest=sha256:7bf3e5800370b81eb82a91c080394b6bc4fd8f22f6aef547120fdae50c2b08f0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:07:48.134400Z digest=sha256:a0bb7b0b14aa6d6ae82d83b3e05df3d5d245a05bd0b285dd7ccd64914fc656d8

Pith citing papers

No inbound Pith citation observations are available.