Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models | Paper Citation Record

Observation 1a0d486c-27f2-4a5a-90df-b22ed1e80490 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 1

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Observation 3d9c9f0e-ab21-4cc5-a9b5-1e598047fdc5 · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 2

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This paper cites low- uncertainty.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models low- uncertainty

Reference 3

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Observation 05187718-1541-483c-a09a-e5fa39403c96 · outbound

This paper cites Behler, Perspective: Machine learning potentials for atomistic simulations.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Behler, Perspective: Machine learning potentials for atomistic simulations

Reference 4

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Observation ff82cf34-a46d-41a3-b75f-2d959c38f64a · outbound

This paper cites Deng, et al., CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Deng, et al., CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:51.425177Z

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Observation d8853527-f8e8-45c5-9d8d-24e99f00b9a2 · outbound

This paper cites Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:24.825906Z

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Observation 20be5f7f-8da7-4ee9-b10e-a994d6b759cf · outbound

This paper cites Riebesell, et al., A framework to evaluate machine learning crystal stability predictions.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Riebesell, et al., A framework to evaluate machine learning crystal stability predictions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:51.098681Z

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Observation 6837cf3c-d2a7-42d0-a54b-b7624e300cb0 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:50.894396Z

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Observation ac7ca6a1-9aee-42f4-a203-6e7cfb439242 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models A foundation model for atomistic materials chemistry

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:25.185676Z

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Observation c25890bd-84bb-45f5-8f74-628a042b8f6c · outbound

This paper cites Orb-v3: atomistic simulation at scale.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Orb-v3: atomistic simulation at scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:25.328983Z

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Observation a4be52d9-c71a-4603-ba86-e0f205e667df · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:25.467393Z

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Observation c16bffc2-1d00-499a-a9ff-60e910c80dab · outbound

This paper cites EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:25.700091Z

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Observation b53d7697-8655-4e01-826f-1d4997e91c9c · outbound

This paper cites Deng, et al., Systematic softening in universal machine learning interatomic potentials.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Deng, et al., Systematic softening in universal machine learning interatomic potentials

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:50.650475Z

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Observation f4a016a7-139d-4e86-8705-439015679fe5 · outbound

This paper cites Focassio, L.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Focassio, L

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:50.470394Z

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Observation 05862515-d3d2-4823-acda-b9e4cc02e95e · outbound

This paper cites Wines, K.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Wines, K

Reference 15

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Observation 508243c4-0855-42a8-9e7a-6757762b93a4 · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 16

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Observation 8619e0cd-90c1-4f61-abf3-05035c8db30f · outbound

This paper cites An efficient forgetting-aware fine-tuning framework for pretrained universal machine-learning interatomic potentials.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models An efficient forgetting-aware fine-tuning framework for pretrained universal machine-learning interatomic potentials

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:03:41.661942Z

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Observation e2b52e80-4423-4b2f-8516-207ef68e3599 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:26.670356Z

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Observation a91b38f5-1694-4574-80c3-aeb4a18ef3ca · outbound

This paper cites Distillation of atomistic foundation models across architectures and chemical domains.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Distillation of atomistic foundation models across architectures and chemical domains

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:26.782578Z

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:50.354467Z

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This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:50.242634Z

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This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:50.121478Z

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Observation 64fdcd3b-8d8b-42f5-a41b-bf3f40e12276 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:50.018399Z

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This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:49.892410Z

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Observation 68baefa7-db23-42bf-b4f0-74f5b76c9beb · outbound

This paper cites Schwalbe-Koda, S.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Schwalbe-Koda, S

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:49.790722Z

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Observation 735f3242-67dd-4119-924a-c9c36989c7d4 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:28.031013Z

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Observation 4b0f7b0c-3b43-4a23-97d1-484203b7e526 · outbound

This paper cites Musielewicz, J.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Musielewicz, J

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:49.668099Z

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Observation 249343c9-64c4-40ad-a3b8-382e18fe1889 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:49.542447Z

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Observation a3404a4b-ab37-479c-a6e4-1cc70f270edc · outbound

This paper cites MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:28.396533Z

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Observation 8e38f912-ecd1-4f03-b96a-75db2bc8a8b5 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:28.615624Z

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Observation a249f2f3-e661-43ab-8283-63b319dc7c68 · outbound

This paper cites Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:03:41.230370Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02299172-4d8e-4384-966c-4c0f963af823 · outbound

This paper cites Shuang, et al.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Shuang, et al

Reference 32

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Observation 55f9a0de-cd5b-4679-af54-ceae9b0bdaa8 · outbound

This paper cites Byggm ¨astar, A.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Byggm ¨astar, A

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:49.250387Z

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Observation 3bb8b125-81f4-4a0f-898d-b10576dab0d6 · outbound

This paper cites Gubler, J.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Gubler, J

Reference 34

Resolution: verified exact; doi, observed 2026-08-06T13:03:39.519427Z

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Observation 3d9acbcc-9c39-4c95-b580-1d0adef58fd9 · outbound

This paper cites Janssen, E.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Janssen, E

Reference 35

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Observation 496c4524-5791-4321-9ff4-12d070efd062 · outbound

This paper cites Pan, et al., Atomic cluster expansion interatomic potential for defects and thermodynamics of Cu–W system.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Pan, et al., Atomic cluster expansion interatomic potential for defects and thermodynamics of Cu–W system

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:49.038664Z

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Observation f78fd4c6-c79a-477c-97bd-f8b977905f05 · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:48.849399Z

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Observation 3a01047b-c56e-4da9-82b7-75e3e6e17d42 · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 38

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Observation c3f7a5e7-d4e9-4a3c-8fd0-9e80a739e864 · outbound

This paper cites Shuang, Y.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Shuang, Y

Reference 39

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Observation a81ab1b7-1dfa-4c85-882a-e7b228103a94 · outbound

This paper cites Cui, et al.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Cui, et al

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:30.451960Z

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Observation fa0bbe89-0716-4278-b8ee-b41695f1c423 · outbound

This paper cites Shuang, L.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Shuang, L

Reference 41

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Observation 5d40a6bd-c242-4a03-85a0-4baf5b9dba76 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:30.782139Z

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Observation 3e300a17-68d3-42dc-847f-5aa6cc61f822 · outbound

This paper cites Zhang, et al., DPA-2: a large atomic model as a multi-task learner.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Zhang, et al., DPA-2: a large atomic model as a multi-task learner

Reference 43

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Observation 8f437c97-64dd-44f1-b511-173605b31fb8 · outbound

This paper cites Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:31.215225Z

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Observation f9a9a1f5-094b-46c4-9c21-c7621fa43e90 · outbound

This paper cites Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials.Phys- ical Review B 99 (1), 014104 (2019).

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials.Phys- ical Review B 99 (1), 014104 (2019)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:48.627202Z

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Observation d4ba9417-25ff-4fdf-9b63-231892555e97 · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:31.550529Z

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Observation 321b2d01-7db9-40cf-8d82-d93fa232f379 · outbound

This paper cites Kresse, J.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Kresse, J

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:31.703914Z

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Observation 1bddc939-07f1-47b7-8728-4ad31406140c · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:31.869835Z

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Observation 960783d0-b128-4806-be2e-733cea2a25b5 · outbound

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:32.050031Z

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Observation 2147c7ea-ba13-447e-aa33-2b9765e6c30f · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:32.216033Z

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Observation f2c4b0a0-98e0-49ce-8d3a-63254a9e1b9d · outbound

This paper cites Stukowski, Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Stukowski, Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:48.387025Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf046912-bf62-4446-be9c-7afdad0bd71b · outbound

This paper cites Zheng, et al., Grain boundary properties of elemental metals.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Zheng, et al., Grain boundary properties of elemental metals

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:48.191041Z

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Observation ddceeee0-fabf-4039-ba50-57cf45aaea29 · outbound

This paper cites Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:32.743166Z

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Observation f23c1c9e-24aa-4cc6-b243-dd5f13c34e1f · outbound

This paper cites Kim, et al., Data-efficient multifidelity training for high-fidelity machine learning interatomic potentials.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Kim, et al., Data-efficient multifidelity training for high-fidelity machine learning interatomic potentials

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:47.968303Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 868d3f49-f004-4ac0-8c69-dcfab263178b · outbound

This paper cites Bochkarev, Y.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Bochkarev, Y

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:47.789267Z

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Observation 62aaa342-f7c2-4878-b105-285a47aead8f · outbound

This paper cites Zhang, et al., Graph neural network model for the era of large atomistic models.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Zhang, et al., Graph neural network model for the era of large atomistic models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:33.336568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb68c61c-3ac3-4be8-8ad9-a2560bf5ba82 · outbound

This paper cites Sheriff, Y.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Sheriff, Y

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:47.569269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d430d33-a541-4ceb-8755-9fcb2e19c40d · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:47.364799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c04eef0f-7aa4-4da2-aaf7-fa1f78c5942f · outbound

This paper cites Zheng, et al., Multi-scale investigation of short-range order and dislocation glide in MoNbTi and TaNbTi multi-principal element alloys.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Zheng, et al., Multi-scale investigation of short-range order and dislocation glide in MoNbTi and TaNbTi multi-principal element alloys

Reference 59

Resolution: verified exact; doi, observed 2026-08-06T13:03:38.880857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 241356f5-f7c1-4aee-8f55-97b9e8c0104a · outbound

This paper cites Wang, et al., Unraveling dislocation-based strengthening in refractory multi-principal ele- ment alloys.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Wang, et al., Unraveling dislocation-based strengthening in refractory multi-principal ele- ment alloys

Reference 60

Resolution: verified exact; doi, observed 2026-08-06T13:03:38.432341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09ca6161-6dbe-4725-bdfa-524a138cb6d3 · outbound

This paper cites Lyu, et al., Statistical mechanics, entropy and temperature analog of dislocations moving on fluctuating resistance landscapes.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Lyu, et al., Statistical mechanics, entropy and temperature analog of dislocations moving on fluctuating resistance landscapes

Reference 61

Resolution: malformed identifier; no resolver link, observed 2026-08-06T13:03:34.448305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea02030-6dca-4123-a8d4-fa35dd2c2a96 · outbound

This paper cites Byggm ¨astar, et al., Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Byggm ¨astar, et al., Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys

Reference 62

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T13:03:39.799388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e182454c-2567-4e7c-9ce7-61d0c8d2d065 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:47.158754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 721b2516-8432-42b5-8580-5c7db263204e · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:46.943960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 352d4d7f-c98c-4265-8948-91243c4edcc2 · outbound

This paper cites Song, et al., General-purpose machine-learned potential for 16 elemental metals and their alloys.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Song, et al., General-purpose machine-learned potential for 16 elemental metals and their alloys

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:46.741921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9fe6f89f-ef5e-4401-b0ab-c56d82cc892f · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:46.521599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc65a0e7-baee-4c17-83fd-cd3a8e3002f5 · outbound

This paper cites Shuang, et al., Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Shuang, et al., Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:46.313174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 713a0ec9-36c0-47c0-b52a-3ac473640280 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 68

Resolution: verified exact; doi, observed 2026-08-06T13:03:38.149752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1aa6c1ed-d966-404d-8fd5-ccce82b93e13 · outbound

This paper cites Meng, et al., A highly transferable and efficient machine learning interatomic potentials study of𝛼-Fe–C binary system.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Meng, et al., A highly transferable and efficient machine learning interatomic potentials study of𝛼-Fe–C binary system

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:46.060168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b268ccb-adb4-4bf3-a572-7d4db608326d · outbound

This paper cites Sivaraman, et al., Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Sivaraman, et al., Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:45.859371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5fa95b70-35da-44a1-bc10-54904ca261ee · outbound

This paper cites Zhang, X.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Zhang, X

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:45.648628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da2e3346-76c7-4fd3-9c6c-56d248295801 · outbound

This paper cites Zhao, et al., Complex Ga2O3 polymorphs explored by accurate and general-purpose machine- learning interatomic potentials.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Zhao, et al., Complex Ga2O3 polymorphs explored by accurate and general-purpose machine- learning interatomic potentials

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:45.452429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08aa783e-e096-4405-90fc-a912f7290d5f · outbound

This paper cites Sun, et al., Heat transport exploration through the GaN/diamond interfaces using machine learning potential.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Sun, et al., Heat transport exploration through the GaN/diamond interfaces using machine learning potential

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:45.228400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c73f8d91-c3f2-47a3-8083-e2da2c9a7751 · outbound

This paper cites Vandermause, Y.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Vandermause, Y

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:44.922605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e509b968-e8b4-412e-b954-2e679a7b0ab4 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:44.633499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82ffb845-b39f-4a2b-97b2-e357675c2b88 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:44.395624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6cf82ffb-cad9-47a6-a2aa-2c2edf722d82 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:44.090751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d35fc53d-0b16-4f30-9f17-43ee034305a6 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:43.901865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9d04b32-3dd7-48fd-a804-a033bb40a2fb · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:43.532331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 80a5e546-e3fe-425c-8a21-55c0f4f8c2c9 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:43.261252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2de09e0-b512-4755-8aba-e90158f6bf47 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:43.002413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1bda7f5-3049-483c-949d-9dd9e4f59796 · outbound

This paper cites Several datasets (e.g., MOF, Perovskite) extend beyond metallic systems to include ionic, covalent, and organic–inorganic frameworks.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Several datasets (e.g., MOF, Perovskite) extend beyond metallic systems to include ionic, covalent, and organic–inorganic frameworks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:42.769128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c08d5dc6-5858-4caf-8688-0e97d6c511e3 · outbound

This paper cites an unresolved cited work.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:03:42.545062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1508dc35-2b5d-4055-9832-7fd249bdff90 · outbound

This paper cites Together, these attributes provide high coverage across chemical, structural, and functional spaces, yielding a dataset suite with broad, near-universal applicability.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models Together, these attributes provide high coverage across chemical, structural, and functional spaces, yielding a dataset suite with broad, near-universal applicability

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:03:42.317195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers