Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:34:54.268262Z
Paper Citation Record · LEDGER
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments
As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.01903.
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 2026-08-15T06:32:42.880941+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
40 of 40 outbound references displayed
- verified exact19
- verified fuzzy0
- unresolved21
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 89324e60-aea9-474d-a142-271211d23f01 · outbound
This paper cites De Goes Foschiani, S.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments De Goes Foschiani, S
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.474338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cbe0eaa3-b4e9-4fd6-8534-1cb7f780ffd0 · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.464040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b8367c4f-1ec4-4af0-95b9-fb4573009e82 · outbound
This paper cites Bayerlein et al., « Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science », Adv.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Bayerlein et al., « Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science », Adv
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.453820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8704a093-247a-4c6d-88da-0de09216f03b · outbound
This paper cites Lomello, L.
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.443724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bbbb0750-3129-45b5-bf88-206068b19e82 · outbound
This paper cites Cantor, I.
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.109828Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a723002-333c-4523-bb97-d14fd4fa88da · outbound
This paper cites Yeh, « Alloy Design Strategies and Future Trends in High-Entropy Alloys », JOM, vol.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Yeh, « Alloy Design Strategies and Future Trends in High-Entropy Alloys », JOM, vol
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.427770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7e95e09f-4bb6-4b28-9f6c-a81ada46b135 · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.417442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5045e5d1-6fb0-4cdd-87b0-56bec525e022 · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.407583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ce74b9e0-c590-42ae-a7f2-2fee1d750508 · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.129911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfb88f6b-df21-43fc-9d03-d6396987d624 · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.134823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb4cb01a-678c-4671-bf99-023a8ca30b7c · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.139686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 546f0e63-2156-4950-adde-9ecb67ac2f18 · outbound
This paper cites Su et al., « Visualizing the Formation of High-Entropy Fluorite Oxides from an Amorphous Precursor at Atomic Resolution », ACS Nano, vol.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Su et al., « Visualizing the Formation of High-Entropy Fluorite Oxides from an Amorphous Precursor at Atomic Resolution », ACS Nano, vol
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.384807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 84b887ec-7439-4d13-8f72-a34979689e02 · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.374876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 90e4632c-f2a8-4ef5-afe0-d2017376c85e · outbound
This paper cites Teng et al., « Synthesis and structures of high-entropy pyrochlore oxides », J.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Teng et al., « Synthesis and structures of high-entropy pyrochlore oxides », J
Reference 14
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.365054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 21380ccb-78c8-4342-86d8-d46f848328ae · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.355482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 405b30a2-e98c-4dd0-9b2d-c2aeb175b69d · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.162207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be8ed081-f6be-4ed6-934c-c38f94cc8104 · outbound
This paper cites Feng et al., « Discovery of high entropy garnet solid-state electrolytes via ultrafast synthesis », Energy Storage Mater., vol.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Feng et al., « Discovery of high entropy garnet solid-state electrolytes via ultrafast synthesis », Energy Storage Mater., vol
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.166307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b0aa36e-9c2e-453c-8427-66b7abbb86ea · outbound
This paper cites forward” direction (power composition) has a bijective character, the “backward.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments forward” direction (power composition) has a bijective character, the “backward
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.081238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34cf4809-c6c0-422f-8f72-e4e512bfda23 · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.345332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b3c8695f-7b31-44dc-81d7-9eec81a2714b · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.175263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7afec0c-abf5-4408-8b38-ef98cd7c1095 · outbound
This paper cites Yeh, « Recent progress in high-entropy alloys », Ann.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Yeh, « Recent progress in high-entropy alloys », Ann
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.330227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f73560e7-9d82-40fa-a1d8-2a9a8bf7d7d6 · outbound
This paper cites Ranganathan, « Alloyed pleasures: Multimetallic cocktails », Curr.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Ranganathan, « Alloyed pleasures: Multimetallic cocktails », Curr
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.184067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a9e3df8-6fcf-4e3f-8ed0-f0b324cde342 · outbound
This paper cites Kouznetsov, K.
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.318898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9d417355-2a84-49c4-ad1f-d13d75df5210 · outbound
This paper cites Herschberg et al., « From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy », Metals, vol.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Herschberg et al., « From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy », Metals, vol
Reference 24
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.309478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 42407996-6153-4136-bd6f-ad092aae031f · outbound
This paper cites Brachet et al., « Gaines de combustible nucléaire, procédé de fabrication et utilisations contre l’oxydation/hydruration », EP3195322B1, 26 juillet 2017.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Brachet et al., « Gaines de combustible nucléaire, procédé de fabrication et utilisations contre l’oxydation/hydruration », EP3195322B1, 26 juillet 2017
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.198849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc5249a7-dd4c-4a6b-8b3e-82d7f368b1f3 · outbound
This paper cites Krejčí et al., « Development and testing of multicomponent fuel cladding with enhanced accidental performance », Nucl.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Krejčí et al., « Development and testing of multicomponent fuel cladding with enhanced accidental performance », Nucl
Reference 26
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.299854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 760cb1df-2ce8-47a3-b19b-6bc905a6cb62 · outbound
This paper cites Okamoto, « Supplemental Literature Review of Binary Phase Diagrams: B-Fe, Cr-Zr, Fe-Np, Fe- W, Fe-Zn, Ge-Ni, La-Sn, La-Ti, La-Zr, Li-Sn, Mn-S, and Nb-Re », J.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Okamoto, « Supplemental Literature Review of Binary Phase Diagrams: B-Fe, Cr-Zr, Fe-Np, Fe- W, Fe-Zn, Ge-Ni, La-Sn, La-Ti, La-Zr, Li-Sn, Mn-S, and Nb-Re », J
Reference 27
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.289086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f2ed64af-971f-47b5-affd-fd78ca5d01ad · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 28
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.279242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7f0e1421-97bb-4b7e-9fd9-e3d3f6666e0a · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.217547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9860a3e1-bbc8-4177-8747-2282e7821d76 · outbound
This paper cites Isayev et P.
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.221836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c09897ba-bff9-42cd-9e01-215e0b5d2679 · outbound
This paper cites Lee et al., « An experimentally driven high-throughput approach to design refractory high- entropy alloys », Mater.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Lee et al., « An experimentally driven high-throughput approach to design refractory high- entropy alloys », Mater
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.226187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fffc38d-cd6e-4acd-bb3c-1841e16c2255 · outbound
This paper cites Scikit-learn: Machine Learning in Python.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Scikit-learn: Machine Learning in Python
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.230668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adb61a44-2094-4ed0-a69a-8ba8e50f8c16 · outbound
This paper cites Breiman, « Random Forests », Mach.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Breiman, « Random Forests », Mach
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.235302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba0f8fe7-7756-41aa-9ece-2feb49ba77ef · outbound
This paper cites Chen et C.
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.239922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c734be32-ece4-4f3f-82a6-c718541703c0 · outbound
This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Optuna: A Next-generation Hyperparameter Optimization Framework
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.244218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a5fc9bf-d32a-48b4-9fed-9f1475d27c32 · outbound
This paper cites Bates, T.
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.249301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3f57b5b-4bf0-44b2-aa38-84e241bcceca · outbound
This paper cites an unresolved cited work.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Unresolved cited work
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.253979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7c4014c-18a4-47b0-8a5f-feb941d23fff · outbound
This paper cites Tipping, « Sparse Bayesian Learning and the Relevance Vector Machine », J.
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments Tipping, « Sparse Bayesian Learning and the Relevance Vector Machine », J
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.259061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0393ee28-9a95-44ce-8841-dc477ccc67b5 · outbound
This paper cites Hajri, J.-P.
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:34:54.263762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7b69402-3fb5-48e5-b6ba-75277430493d · outbound
This paper cites Rousselle, J.-P.
Reference 40
- Resolution
- verified exact
- doi, observed 2026-08-04T18:38:51.231406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.