Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:57:47.885059Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.20077.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:57:47.885059Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
50 of 50 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation daf736ec-2f93-4e1c-b7df-45993c1fa785 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3934de84-8a92-4c68-8430-346d02b25dcb · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 2
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Unavailable: canonical work link unavailable.
Observation 9778077f-67ba-4cb9-833a-d5c7c2de6e26 · outbound
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05bd5e27-a3c1-49ac-98e5-a3c5f9f9b7f2 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcd78d67-1f8c-47c9-8b73-93e0c124c88d · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 5
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Unavailable: canonical work link unavailable.
Observation e9ae6467-fc23-4069-bb36-f7e3b98d00a5 · outbound
Reference 6
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Unavailable: canonical work link unavailable.
Observation f413987a-eb80-4229-8d3f-af58fb353957 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eba1f073-4338-4668-bd08-76407d938930 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de90387d-93b1-4afa-85a0-29a03e587b13 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 9
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Observation 808dfc03-7071-471d-9a78-97299e62d67b · outbound
Reference 10
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Observation 89cebb05-9612-4346-bd3f-29b93cad3ed8 · outbound
Reference 11
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Observation d89735fd-f4df-4d3d-a945-f4fa4003321d · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 12
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Observation 8b737696-ca87-423f-8587-ec7f5e691976 · outbound
Reference 13
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Observation 18212760-bd44-4b18-885f-723c30a7c6d1 · outbound
Reference 14
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Observation abf27bc3-cc22-4db6-9fd1-9dd29f9db945 · outbound
Reference 15
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Unavailable: canonical work link unavailable.
Observation bd259ba2-fbfb-45ec-be57-e3d911fbafa6 · outbound
Reference 16
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.
Observation 10748ced-ab02-4ba1-be21-4b375b58946d · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5d3b596-d179-4c92-bd0f-4ae902316c00 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 18
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Unavailable: canonical work link unavailable.
Observation 74c17703-4b53-42e9-a039-999612b8e3ef · outbound
Reference 19
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.
Observation 4020f84e-c753-400e-ab30-8933c2d34068 · outbound
Reference 20
Source-reported events for the cited work
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Observation 660fd6ac-538f-4b23-a1b7-843867ab7fcd · outbound
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43ae0a61-03d7-44a0-b776-242394a00e4b · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c589d14c-ea4e-4c5f-ab4f-607c516c5e14 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 23
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Unavailable: canonical work link unavailable.
Observation 34a0472f-4c58-48a1-be53-3a89334c102f · outbound
Reference 24
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Unavailable: canonical work link unavailable.
Observation e031084b-14b3-49f1-9d85-bee0bd61edc9 · outbound
Reference 25
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Unavailable: canonical work link unavailable.
Observation 6e8e57fa-f2b1-4aa2-b2e5-1152baa22766 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 634002fe-e05e-4f2e-a282-80f60e76d136 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Orb: A Fast, Scalable Neural Network Potential
Reference 27
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Unavailable: canonical work link unavailable.
Observation 41f62268-95c3-4005-97d4-546d67575171 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling
Reference 28
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Unavailable: canonical work link unavailable.
Observation e2761857-f939-4973-849a-d4c05bd9f2fd · outbound
Reference 29
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Unavailable: canonical work link unavailable.
Observation c1c35ced-2a31-4b96-8a4e-a223b11249c6 · outbound
Reference 30
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Unavailable: canonical work link unavailable.
Observation f679322c-7bb6-43de-95e1-617ff7e4235a · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d8cd131-c76c-4b4c-a4a2-66d5b82e3aee · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions De Fontaine, A computer simulation of the evolution of coherent composition variations in solid solutions, Ph.D
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f757a431-eb97-43e8-b44e-d84fd7591d76 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions De Fontaine, An analysis of clustering and ordering in multicomponent solid solutions-I
Reference 33
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Unavailable: canonical work link unavailable.
Observation 24f2fe95-a634-4938-894a-c7180847fb6c · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 34
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Unavailable: canonical work link unavailable.
Observation 103fb1c5-6f02-4535-9916-23ad65f4dd5b · outbound
Reference 35
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Unavailable: canonical work link unavailable.
Observation 7f16018b-10ce-4873-870d-192b57117155 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 36
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Observation e7df37ec-3179-4abd-bb0b-031778495799 · outbound
Reference 37
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Observation a0b2cfc8-cb6c-4d92-a9b6-0563377b9465 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3d52787-40bc-40c5-88cf-0b81e13806b0 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 39
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Unavailable: canonical work link unavailable.
Observation 5f4472b7-5170-48b6-ba76-015ed85da958 · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 40
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Unavailable: canonical work link unavailable.
Observation f67c8893-a956-4cbe-89d9-d3a49c095aee · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8348f1aa-60ba-47cc-9ccc-7f571ca7170e · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 42
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Observation a950301b-cd4d-415a-8781-10966171ec74 · outbound
Reference 43
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Unavailable: canonical work link unavailable.
Observation 31f7b07e-c425-4264-82c7-fd0f6e4f293e · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions De Fontaine, Configurational thermodynamics of solid solutions, Solid state physics 34 (1979) 73–274
Reference 44
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Observation bf5efbde-0f13-4f2c-b023-26663ddb51a9 · outbound
Reference 45
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Observation 08397208-626d-44fc-9900-fbef00d7f211 · outbound
Reference 46
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Observation 4b49a730-9db3-4b9c-8d7f-3591ad009a4f · outbound
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions Unresolved cited work
Reference 47
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Unavailable: canonical work link unavailable.
Observation 6fa32a0f-7f16-4cd4-a6ec-9f8f689a789d · outbound
Reference 48
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Observation 073411e9-7762-4759-b3b7-20f41749c9d7 · outbound
Reference 49
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Observation c57f0abd-94d3-4c54-9836-204dcdae62bf · outbound
Reference 50
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.