Paper Citation Record · LEDGER

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer

As of 18 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 2 inbound Pith citation observations for arXiv:2507.20827.

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

pith.paper-citation-record.v1
2507.20827 v1

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

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measured 97 of 97 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:54:16.084848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:47:06.664035Z

Reference resolution

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External citation measurements

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Outbound references

Observation af92c686-0392-4f59-bc16-7ca661d9202a · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 1

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 2

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 3

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Observation aed99995-031d-4c8e-84bc-1b175051d0f4 · outbound

This paper cites Li , author M.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Li , author M

Reference 4

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

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This paper cites Kohn \ and\ author L.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Kohn \ and\ author L

Reference 6

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 7

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This paper cites Behler \ and\ author M.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Behler \ and\ author M

Reference 8

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This paper cites Batatia , author D.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Batatia , author D

Reference 9

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Musaelian , author S

Reference 10

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This paper cites Shiota , author K.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Shiota , author K

Reference 11

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This paper cites Tang , author V.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Tang , author V

Reference 12

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 13

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Zhang , author J

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This paper cites Jung , author L.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Jung , author L

Reference 16

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This paper cites Lan , author A.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Lan , author A

Reference 17

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This paper cites Chen , author X.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Chen , author X

Reference 18

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This paper cites Sampei , author K.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Sampei , author K

Reference 19

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Arute , author K

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Kadowaki \ and\ author H

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Farhi , author J

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Boixo , author T

Reference 26

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Boixo , author T

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Lechner , author P

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Hauke , author H

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Aramon , author G

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Fujisaki , author H

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correction dated 2022-11-08. Source: crossref record 10.1103/physrevresearch.4.043086->10.1103/physrevresearch.4.043086:correction, observed 2026-07-11T02:56:45.551377+00:00. This notice travels one citation hop only.

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Choubisa , author J

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Babbush , author A

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Sozykin , author A

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Zurek , author R

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Cao , author F

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Gel , author S

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer \ Yeh , author S.-K

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Cantor , author I

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Wu , author K

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Du , author X

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Ouyang \ and\ author Y

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Shiota , author K

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Cai \ and\ author H

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Bahn \ and\ author K

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Han , author S

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Gonz \'a lez , author C

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This paper cites Liu , author Z.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Liu , author Z

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This paper cites Gonz \'a lez , author D.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Gonz \'a lez , author D

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Observation e89bc8e1-b53a-4919-b6dd-7987c6711159 · outbound

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer \ Ge , author T.-J

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Lee , author C

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Zhong , author Q.-L

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Wang , author H

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Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Xiao , author S

Reference 60

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Unavailable: canonical work link unavailable.

Observation 70a470f9-774d-4156-920f-a51b3d584244 · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 61

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.136720Z

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 bd20a43c-bfe5-4f50-89a3-f01f297dc7b8 · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 62

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.128345Z

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 ffcea2f3-40d3-4ef8-8d53-f737a29e135a · outbound

This paper cites Wen , author L.-y.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Wen , author L.-y

Reference 63

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.119972Z

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 59be3558-d4e3-43cd-8859-6099afcd700e · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 64

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T13:20:30.022221Z

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 1dd86764-dcff-4cde-96f0-30b3b7aee2af · outbound

This paper cites Bai , author S.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Bai , author S

Reference 65

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.111095Z

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 3dda1721-b2e5-4cf7-8556-bd42c4a59dac · outbound

This paper cites Liu , author R.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Liu , author R

Reference 66

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.102546Z

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 affd9b9a-7a0e-4410-b83b-7dfbb9f5783e · outbound

This paper cites Villagra-Soza , author S.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Villagra-Soza , author S

Reference 67

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.093889Z

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 d7bddbc6-3074-45e4-b70f-056fe06b0638 · outbound

This paper cites Ren , author B.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Ren , author B

Reference 68

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.086002Z

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 96cf11c3-35fd-4213-97ce-8b387bbaeee7 · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 69

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.078027Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eea8a278-5457-4b44-9862-5c197adb4932 · outbound

This paper cites Cai , author A.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Cai , author A

Reference 70

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T13:20:29.937203Z

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 fd1aace0-857e-45a7-b3f1-a324ebeb59c6 · outbound

This paper cites You , author J.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer You , author J

Reference 71

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.070035Z

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 1362f7d6-deab-4ed8-b1a0-3d35214866c4 · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 72

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.061908Z

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 4582ffb7-0add-428a-bf55-c5c4c312a924 · outbound

This paper cites Kim , author F.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Kim , author F

Reference 73

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.053305Z

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 38387406-93a2-4207-b173-bee1a48837cd · outbound

This paper cites Tang , author H.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Tang , author H

Reference 74

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.044244Z

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 fb9edb06-e654-4e7e-89f6-744427c458ea · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 75

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T13:20:29.842129Z

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 42643ae9-5c99-4e63-b462-0dd6e2c540dc · outbound

This paper cites Mazzone , author I.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Mazzone , author I

Reference 76

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.035449Z

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 ff2891f6-700e-4899-8f1b-b2850b6e620e · outbound

This paper cites Seraj , author P.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Seraj , author P

Reference 77

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.027191Z

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 801b2446-e22d-417d-a440-3a925a51f53b · outbound

This paper cites Ma , author J.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Ma , author J

Reference 78

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.018090Z

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 db4b60e9-6e90-4369-a688-7e6d82b3de40 · outbound

This paper cites Lin , author X.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Lin , author X

Reference 79

Resolution: verified exact; doi, observed 2026-08-06T13:20:29.008957Z

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 70a2214e-47ce-42ea-b5ef-063409c4c75c · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 80

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.999924Z

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 46b19e86-6fcf-4a74-b3d3-a850d84160b6 · outbound

This paper cites Jeroro , author V.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Jeroro , author V

Reference 81

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.991267Z

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 b5ab90a5-6945-44a7-b58d-69e9ac4e3756 · outbound

This paper cites Wei , author C.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Wei , author C

Reference 82

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.981678Z

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 ce66a6a9-a55f-4c6c-aeea-989909f390c5 · outbound

This paper cites Wang , author Y.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Wang , author Y

Reference 83

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.973374Z

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 fa3078fa-470e-4575-8306-1a1b0fada410 · outbound

This paper cites Mu , author Q.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Mu , author Q

Reference 84

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.963789Z

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 6deb6b5f-d35e-44fb-a206-c944675bed97 · outbound

This paper cites Liang , author L.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Liang , author L

Reference 85

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.953799Z

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 46386401-b44e-4182-9c0e-577acbc0d0b6 · outbound

This paper cites \ Wu , author Y.-C.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer \ Wu , author Y.-C

Reference 86

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.943985Z

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 99e69db5-7ddf-472f-887f-af51035eac14 · outbound

This paper cites Dimakis , author M.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Dimakis , author M

Reference 87

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.934137Z

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 bb57c7ad-9d45-4496-bd57-10523eae21ae · outbound

This paper cites Dimakis , author F.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Dimakis , author F

Reference 88

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.924889Z

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 6bed4131-6734-4aad-b606-17883a9755a4 · outbound

This paper cites Wang , author S.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Wang , author S

Reference 89

Resolution: verified exact; doi, observed 2026-08-06T13:20:28.915816Z

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 3bdfbf92-c3ae-41cd-990d-69f1b08a33a6 · outbound

This paper cites Oseledets \ and\ author E.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Oseledets \ and\ author E

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T13:20:28.837826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37a34809-2911-4d9c-861b-22952341b938 · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T13:20:28.840584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd197591-7e86-49fc-909f-5a10b3200819 · outbound

This paper cites an unresolved cited work.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Unresolved cited work

Reference 92

Resolution: verified exact; raw_fallback, observed 2026-08-06T13:20:29.771522Z

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 c30e5ccc-12a4-4d72-8c91-a31ca3889057 · outbound

This paper cites \ Fortin , author F.-M.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer \ Fortin , author F.-M

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T13:20:28.846412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a31f2c1-b021-416a-b005-cbdec831bd40 · outbound

This paper cites Higher-Order Factorization Machines.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Higher-Order Factorization Machines

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:20:28.893714Z

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 fb450f2a-0eca-4ab9-a9af-899e6e458c5d · outbound

This paper cites Kitai , author J.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Kitai , author J

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T13:20:28.852775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0063107f-02a1-4013-aa83-c0f487291b28 · inbound

Evaluating the Performance of Direct Higher-Order Formulations in Combinatorial Optimization Problems cites this paper.

Evaluating the Performance of Direct Higher-Order Formulations in Combinatorial Optimization Problems Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:16.084848Z

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Unavailable: canonical work link unavailable.

Observation 0757a149-e012-4b20-9782-09c8a58051d3 · inbound

Quantum computing for accurate large-scale electronic-structure calculations: DFT-embedded, post-processed quantum-selected configuration interaction cites this paper.

Quantum computing for accurate large-scale electronic-structure calculations: DFT-embedded, post-processed quantum-selected configuration interaction Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:47:06.665422Z

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.