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Paper Citation Record · LEDGER

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.10985.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.10985 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:23:36.392975Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation 4d66aaad-b793-4fae-9597-101e321efdb1 · outbound

This paper cites M.; Xu, B.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations M.; Xu, B

Reference 1

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Observation de159fd4-5869-4281-8846-6b044a36561a · outbound

This paper cites Catalysis: Concepts and Green Applications; Wiley-VCH: Weinheim, Germany, 2008.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Catalysis: Concepts and Green Applications; Wiley-VCH: Weinheim, Germany, 2008

Reference 2

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Observation 706dcb7a-3e2d-4235-a7d1-8bd13d011fd6 · outbound

This paper cites Nanoscale engineering of catalytic materials for sustainable technologies.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Nanoscale engineering of catalytic materials for sustainable technologies

Reference 3

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Observation 0b55ec40-ab03-4688-9549-45807271229d · outbound

This paper cites S.; Kühl, S.; Strasser, P.; Cuenya, B.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations S.; Kühl, S.; Strasser, P.; Cuenya, B

Reference 4

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Observation b0d6dc53-6944-40e8-ac05-7580931282a7 · outbound

This paper cites A.; Goldsmith, B.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations A.; Goldsmith, B

Reference 5

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Observation 3c2e6229-e6e9-452f-b4cf-664276d08e95 · outbound

This paper cites M.; Girgsdies, F.; Hashagen, M.; Kube, P.; Hävecker, M.; Carey, S.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations M.; Girgsdies, F.; Hashagen, M.; Kube, P.; Hävecker, M.; Carey, S

Reference 6

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This paper cites A.; Jorner, K.; Žarko Ivković; López, N.; Aspuru-Guzik, A.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations A.; Jorner, K.; Žarko Ivković; López, N.; Aspuru-Guzik, A

Reference 7

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Observation ab8571a9-8590-4166-b534-cffe7b56a422 · outbound

This paper cites A multi-modal transformer for predicting global minimum adsorption energy.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations A multi-modal transformer for predicting global minimum adsorption energy

Reference 8

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Observation f975a589-4b48-4820-b6fb-b5d5cee3c3c2 · outbound

This paper cites M.; Wander, B.; Das, A.; Uyttendaele, M.; Zitnick, C.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations M.; Wander, B.; Das, A.; Uyttendaele, M.; Zitnick, C

Reference 9

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Observation 7ddee86b-deea-48cc-97ba-0b008a6b77a2 · outbound

This paper cites M.; Kley, K.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations M.; Kley, K

Reference 10

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Observation a399b717-4511-4ef3-b1f3-abe4ab76b042 · outbound

This paper cites Exploring the Structure–Activity Relationship on Platinum Nanoparticles.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Exploring the Structure–Activity Relationship on Platinum Nanoparticles

Reference 11

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Observation 7e5f95f2-44f9-4a4e-99f5-62599e1cfa3a · outbound

This paper cites G.; Baletto, F.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations G.; Baletto, F

Reference 12

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Observation 8f083912-6c18-49c7-a451-f8885dfb4b88 · outbound

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Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Unresolved cited work

Reference 13

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Observation 45146db1-ff66-44b3-ae9b-313acd1adb59 · outbound

This paper cites H.; Pohl, M.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations H.; Pohl, M

Reference 14

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Observation 0cabb7a9-2b21-431d-98ad-80e105591a6f · outbound

This paper cites E.; Williams, C.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations E.; Williams, C

Reference 15

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Observation eff15ade-2ccd-4680-8ccd-bb6458d48fdf · outbound

This paper cites A Tutorial on Bayesian Optimization.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations A Tutorial on Bayesian Optimization

Reference 16

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Observation 33ad02be-70dd-440e-a196-5988b3badc2f · outbound

This paper cites D.; Reinisch, D.; Loffreda, D.; Sautet, P.; Bandarenka, A.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations D.; Reinisch, D.; Loffreda, D.; Sautet, P.; Bandarenka, A

Reference 17

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Observation 04a74c01-ea21-4384-84b8-deec0dec0722 · outbound

This paper cites W.; Billinge, S.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations W.; Billinge, S

Reference 18

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This paper cites A universal signature in the melting of metallic nanoparticles.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations A universal signature in the melting of metallic nanoparticles

Reference 19

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Observation 75ca0e88-220a-41c7-80fa-0b0a63b0a353 · outbound

This paper cites Charting Nanocluster Structures via Convolutional Neural Networks.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Charting Nanocluster Structures via Convolutional Neural Networks

Reference 20

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This paper cites Beyond Strain and Ligand Effects: Microstrain-Induced Enhancement of the Oxygen Reduction Reaction Kinetics on Various PtNi/C Nanostructures.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Beyond Strain and Ligand Effects: Microstrain-Induced Enhancement of the Oxygen Reduction Reaction Kinetics on Various PtNi/C Nanostructures

Reference 21

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This paper cites Building Practical Descriptors for Defect Engineering of Electrocatalytic Materials.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Building Practical Descriptors for Defect Engineering of Electrocatalytic Materials

Reference 22

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Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Unresolved cited work

Reference 23

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Observation b6693607-baf4-4247-8846-81df1c86c63a · outbound

This paper cites M.; Seeger, M.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations M.; Seeger, M

Reference 24

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Observation 62a05ddd-6135-44a3-a2e5-65e4ad024e61 · outbound

This paper cites Quantitatively Determining Surface–Adsorbate Properties from Vibrational Spectroscopy with Interpretable Machine Learning.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Quantitatively Determining Surface–Adsorbate Properties from Vibrational Spectroscopy with Interpretable Machine Learning

Reference 25

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Observation a430d947-36f9-4188-9e20-111a15cfcebc · outbound

This paper cites L.; Vlachos, D.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations L.; Vlachos, D

Reference 26

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Observation 91483738-22b3-4d72-9bcf-35fc8e338156 · outbound

This paper cites Autonomous nanoparticle synthesis by design.

Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations Autonomous nanoparticle synthesis by design

Reference 27

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Pith citing papers

No inbound Pith citation observations are available.