Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Orb-v3: atomistic simulation at scale
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 59 inbound Pith citation observations for arXiv:2504.06231.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:37:09.002379Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
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External citation measurements
25
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b771cca4-d8e0-4020-95eb-3c05047c7754 · inbound
Benchmarking Universal Machine Learning Interatomic Potentials for Real-Time Analysis of Inelastic Neutron Scattering Data cites this paper.
Benchmarking Universal Machine Learning Interatomic Potentials for Real-Time Analysis of Inelastic Neutron Scattering Data Orb-v3: atomistic simulation at scale
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:37:09.002379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6db1f15-ee4e-495d-b7af-2eb72045d685 · inbound
chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations cites this paper.
chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations Orb-v3: atomistic simulation at scale
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:55:21.484023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58e9a6cd-2e68-485f-aa3a-5a31dfc8017c · inbound
Distillation of atomistic foundation models across architectures and chemical domains cites this paper.
Distillation of atomistic foundation models across architectures and chemical domains Orb-v3: atomistic simulation at scale
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:17:21.779065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eed2ded0-b415-48a5-b990-ae7778dbb180 · inbound
Leveraging neural network interatomic potentials for a foundation model of chemistry cites this paper.
Leveraging neural network interatomic potentials for a foundation model of chemistry Orb-v3: atomistic simulation at scale
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:20:18.697143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06399406-ef87-4656-90ca-6ae3cd91d92c · inbound
Uncovering coupled ionic-polaronic dynamics and interfacial enhancement in Li$_x$FePO$_4$ cites this paper.
Uncovering coupled ionic-polaronic dynamics and interfacial enhancement in Li$_x$FePO$_4$ Orb-v3: atomistic simulation at scale
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:26:34.183967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c25890bd-84bb-45f5-8f74-628a042b8f6c · inbound
Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models cites this paper.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3885b6a8-0061-4b7d-b805-8ca2f51ccce6 · inbound
Universal Machine Learning Potential for Systems with Reduced Dimensionality cites this paper.
Universal Machine Learning Potential for Systems with Reduced Dimensionality Orb-v3: atomistic simulation at scale
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:53:50.714619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0417eb4c-c075-410d-a59a-175726b73749 · inbound
Universal Machine Learning Potentials under Pressure cites this paper.
Universal Machine Learning Potentials under Pressure Orb-v3: atomistic simulation at scale
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:48:25.597729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0860756a-c399-4782-b111-4a2516717b42 · inbound
Electronic Fluctuations and Ionic Dynamics in Molten Silver Iodide cites this paper.
Electronic Fluctuations and Ionic Dynamics in Molten Silver Iodide Orb-v3: atomistic simulation at scale
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:15:17.803254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c38b020-f933-4b6f-ab71-eb58b3ae8c3a · inbound
OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure cites this paper.
OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure Orb-v3: atomistic simulation at scale
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:03:51.934988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f92d0850-3ac2-4140-9533-b055313c9d7a · inbound
Benchmarking foundation potentials against quantum chemistry methods for predicting molecular redox potentials cites this paper.
Benchmarking foundation potentials against quantum chemistry methods for predicting molecular redox potentials Orb-v3: atomistic simulation at scale
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:54:29.460494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c54df9ba-af68-45df-b2a1-81501f9748bf · inbound
Revealing interstitial energetics in Ti-23Nb-0.7Ta-2Zr gum metal base alloy via universal machine learning interatomic potentials cites this paper.
Revealing interstitial energetics in Ti-23Nb-0.7Ta-2Zr gum metal base alloy via universal machine learning interatomic potentials Orb-v3: atomistic simulation at scale
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:24:25.185673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2cc5267-bf17-4800-89fd-fc500b73b984 · inbound
Comparing the latent features of universal machine-learning interatomic potentials cites this paper.
Comparing the latent features of universal machine-learning interatomic potentials Orb-v3: atomistic simulation at scale
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:23:49.416237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5ca43335-abc9-4a87-89b0-38201d3ef264 · inbound
Score-based diffusion models for accurate crystal-structure inpainting and reconstruction of hydrogen positions cites this paper.
Score-based diffusion models for accurate crystal-structure inpainting and reconstruction of hydrogen positions Orb-v3: atomistic simulation at scale
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:45:03.637101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14a7da03-9de9-4d81-b34a-86b25d189275 · inbound
Pushing the limits of unconstrained machine-learned interatomic potentials cites this paper.
Pushing the limits of unconstrained machine-learned interatomic potentials Orb-v3: atomistic simulation at scale
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:46:39.846242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eabe16b-f202-4cc7-bffa-5d15eeef6ee1 · inbound
Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations cites this paper.
Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations Orb-v3: atomistic simulation at scale
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:30:52.672263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 153a5c3b-d1b0-41f9-b8bd-7c92d5f38390 · inbound
E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory cites this paper.
E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory Orb-v3: atomistic simulation at scale
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:38:31.058921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 474c2fd3-29e0-4aba-9729-04744882fae7 · inbound
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces cites this paper.
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces Orb-v3: atomistic simulation at scale
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:04:11.159945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d66724d7-384e-4f94-ab6f-d036d977b3b5 · inbound
Performance of universal machine learning potentials in global optimization of inorganic crystal structures cites this paper.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Orb-v3: atomistic simulation at scale
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:24:20.450371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38bfeee8-42a6-4969-b21b-07daa1f3614f · inbound
A Lightweight Universal Machine-Learning Interatomic Potential via Knowledge Distillation for Scalable Atomistic Simulations cites this paper.
A Lightweight Universal Machine-Learning Interatomic Potential via Knowledge Distillation for Scalable Atomistic Simulations Orb-v3: atomistic simulation at scale
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:57.552026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation abfe7081-3e38-48bd-b31f-86e013dcaa4e · inbound
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Orb-v3: atomistic simulation at scale
Reference 118
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:21:10.263385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b2565cce-80f7-481a-85ec-b0bf448f5621 · inbound
Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs cites this paper.
Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs Orb-v3: atomistic simulation at scale
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:51:18.085848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 048152c8-122f-4f3e-950b-775eb1a9f837 · inbound
Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs cites this paper.
Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs Orb-v3: atomistic simulation at scale
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.272216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d9d95ac1-374d-4bb9-8752-52bf5cf5003a · inbound
SLayerGen: a Crystal Generative Model for all Space and Layer Groups cites this paper.
SLayerGen: a Crystal Generative Model for all Space and Layer Groups Orb-v3: atomistic simulation at scale
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:36:25.602051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6e25d51-a16c-4d12-ad6e-cbebe19d412a · inbound
Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning cites this paper.
Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning Orb-v3: atomistic simulation at scale
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:46:14.109807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 645eb207-7348-48bc-9d12-a6eff64e0498 · inbound
CrystalREPA: Transferring Physical Priors from Universal MLIPs to Crystal Generative Models cites this paper.
CrystalREPA: Transferring Physical Priors from Universal MLIPs to Crystal Generative Models Orb-v3: atomistic simulation at scale
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:41:34.400608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 134dcb64-d0bc-4c42-bd7a-a804a001e8c3 · inbound
Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates cites this paper.
Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates Orb-v3: atomistic simulation at scale
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:42:03.130273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f859d73f-1254-4ffb-98cb-0370c0d9ffd7 · inbound
Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs cites this paper.
Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs Orb-v3: atomistic simulation at scale
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:12:50.659857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e477129a-943b-47c1-95f4-85ffab1f94e1 · inbound
Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs cites this paper.
Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs Orb-v3: atomistic simulation at scale
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:47:40.305735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5b0a7212-8a38-4ff7-b274-f0361614ce1c · inbound
Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows cites this paper.
Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows Orb-v3: atomistic simulation at scale
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T02:18:30.962965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3e0cc1af-3058-4ce3-9ac2-0d167d37f3e6 · inbound
Reweighting free energy profiles between universal machine learning interatomic potentials for fast consensus building cites this paper.
Reweighting free energy profiles between universal machine learning interatomic potentials for fast consensus building Orb-v3: atomistic simulation at scale
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T19:52:44.562115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e4aaaf4-c741-4f89-bb13-88130b39ab1d · inbound
PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation cites this paper.
PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation Orb-v3: atomistic simulation at scale
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:08:50.700920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6d6f8db9-1178-4035-b3e2-baf187047d1a · inbound
Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations cites this paper.
Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations Orb-v3: atomistic simulation at scale
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T04:28:05.787989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 202f4ed3-c22e-4bd7-aebf-a9adfa26bdb3 · inbound
Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations cites this paper.
Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations Orb-v3: atomistic simulation at scale
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:34:57.915780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 91b06cce-e38f-4334-9e63-f0f3a3a29952 · inbound
Additive binding energies in asphalt on a quantum processor via quantum-selected configuration interaction (QSCI) cites this paper.
Additive binding energies in asphalt on a quantum processor via quantum-selected configuration interaction (QSCI) Orb-v3: atomistic simulation at scale
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T16:53:40.939859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c28866a7-e792-4ea8-bd8d-1f2ca5be3821 · inbound
Geometry-based Discovery of Calcium Battery Cathodes Accelerated by Foundational Machine-Learned Models cites this paper.
Geometry-based Discovery of Calcium Battery Cathodes Accelerated by Foundational Machine-Learned Models Orb-v3: atomistic simulation at scale
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T10:43:19.242921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 79e8de79-cbf1-459f-a266-defa175e03e3 · inbound
Speculative Sampling For Faster Molecular Dynamics cites this paper.
Speculative Sampling For Faster Molecular Dynamics Orb-v3: atomistic simulation at scale
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:16:16.936669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7f767096-8b0a-4de8-986a-d5a78e03332d · inbound
Curvature-driven revival of charge density waves in non-Euclidean space cites this paper.
Curvature-driven revival of charge density waves in non-Euclidean space Orb-v3: atomistic simulation at scale
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T09:16:49.443305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5fd01e31-9014-476d-a682-e7e5d2fbcfb9 · inbound
Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.
Six Open Questions in Machine-Learned Interatomic Potential Foundation Models Orb-v3: atomistic simulation at scale
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:37:19.199167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c78fb181-b896-4093-9597-d4f7ad3e0ddc · inbound
Approaching the Limit of Intrinsic Crystalline Thermal Insulation cites this paper.
Approaching the Limit of Intrinsic Crystalline Thermal Insulation Orb-v3: atomistic simulation at scale
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:57:42.915111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bc141d6d-2643-47d3-bbc7-a6050f2e1d41 · inbound
Melt-Quench Failures and Practical Solutions for Universal Machine-Learning Interatomic Potentials in Amorphous Structure Generation cites this paper.
Melt-Quench Failures and Practical Solutions for Universal Machine-Learning Interatomic Potentials in Amorphous Structure Generation Orb-v3: atomistic simulation at scale
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:19:31.369113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca2374cd-9ab4-4aff-a231-c5bc5b3805ba · inbound
Universal Interatomic Potentials as Configuration-Space Generators for One-Shot and Iterative Fine-Tuning of Ab Initio-Accurate Material-Specific Models cites this paper.
Universal Interatomic Potentials as Configuration-Space Generators for One-Shot and Iterative Fine-Tuning of Ab Initio-Accurate Material-Specific Models Orb-v3: atomistic simulation at scale
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T11:39:25.271644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 00463675-4cfc-4a00-8455-bfd1a8086ea8 · inbound
Enerzyme: A Framework for Efficient Training of Reactive Neural Network Potentials for Enzyme Catalysis with Application to Methyltransferases cites this paper.
Enerzyme: A Framework for Efficient Training of Reactive Neural Network Potentials for Enzyme Catalysis with Application to Methyltransferases Orb-v3: atomistic simulation at scale
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T17:58:46.499768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4f21cf2b-8504-49fb-913c-d4ad372ecf09 · inbound
Predicting Novel Stable Materials for Experimental Synthesis cites this paper.
Predicting Novel Stable Materials for Experimental Synthesis Orb-v3: atomistic simulation at scale
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T10:27:55.982529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38f15c5d-74f5-4296-a21b-df1157a23374 · inbound
Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW cites this paper.
Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW Orb-v3: atomistic simulation at scale
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:37:49.014728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f4d661df-089a-46cf-aa1a-a4a5b130f9ce · inbound
Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW cites this paper.
Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW Orb-v3: atomistic simulation at scale
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:18:45.067709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d85575e-b4cd-48ec-9cd1-aafe687b7a28 · inbound
Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles cites this paper.
Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles Orb-v3: atomistic simulation at scale
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T02:31:03.871783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dae63a65-2a44-4ee5-a9b7-7c4702f1148e · inbound
AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms cites this paper.
AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Orb-v3: atomistic simulation at scale
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:58:33.169910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19fb3bc6-0c38-4182-aaa6-92f58295aab2 · inbound
EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation cites this paper.
EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation Orb-v3: atomistic simulation at scale
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T05:49:18.301166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c839283b-5570-427f-be25-29f61e356055 · inbound
MLIP Studio: An Open Platform for Interactive Benchmarking and Atomistic Simulations Using Machine Learning Interatomic Potentials cites this paper.
MLIP Studio: An Open Platform for Interactive Benchmarking and Atomistic Simulations Using Machine Learning Interatomic Potentials Orb-v3: atomistic simulation at scale
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T05:36:01.142914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1a59ace2-503c-4db3-8d25-79090d21c850 · inbound
Are Machine Learning Interatomic Potentials Truly Practical? A Benchmark of 23 Mainstream Models cites this paper.
Are Machine Learning Interatomic Potentials Truly Practical? A Benchmark of 23 Mainstream Models Orb-v3: atomistic simulation at scale
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T04:05:55.510295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 17fc2fa1-30a1-47d2-8ff4-9a0816cd8a4b · inbound
Phase stability and ionic transport in post-spinel CaV$_2$O$_4$ cathode cites this paper.
Phase stability and ionic transport in post-spinel CaV$_2$O$_4$ cathode Orb-v3: atomistic simulation at scale
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T11:07:01.962075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8ced6364-5e05-47b4-b1bc-6643363536aa · inbound
Anisotropic representations for E(3)-equivariant machine learning coarse-grained potentials cites this paper.
Anisotropic representations for E(3)-equivariant machine learning coarse-grained potentials Orb-v3: atomistic simulation at scale
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T01:07:35.895422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 967b4c86-64a5-497d-8854-7c6ae2b18727 · inbound
Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials cites this paper.
Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Orb-v3: atomistic simulation at scale
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T10:08:16.536665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1624ddd4-7c1b-43e1-94f3-bcd430271cbb · inbound
Full-data accuracy with fewer labels for training and fine-tuning machine-learning force fields cites this paper.
Full-data accuracy with fewer labels for training and fine-tuning machine-learning force fields Orb-v3: atomistic simulation at scale
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:03:17.117804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 381d6440-cc19-478a-aa03-4befc7664eb0 · inbound
Rem3Di: Learning smooth, chiral 3D molecular descriptors from atomistic foundation models cites this paper.
Rem3Di: Learning smooth, chiral 3D molecular descriptors from atomistic foundation models Orb-v3: atomistic simulation at scale
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:16:29.633220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 881a2dfc-666e-4fb9-a018-f9e6c0957860 · inbound
Transformer Atomic Cluster Expansion: TRACE cites this paper.
Transformer Atomic Cluster Expansion: TRACE Orb-v3: atomistic simulation at scale
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:54:38.818807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d67ad4a8-fbcd-4825-9d43-89d7e75ccbd5 · inbound
Quantum machine learning interatomic potential: Application of variational quantum algorithm cites this paper.
Quantum machine learning interatomic potential: Application of variational quantum algorithm Orb-v3: atomistic simulation at scale
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:30:55.232214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e00a2a1-c2ca-4b04-817e-78801cbdeed3 · inbound
Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic Potentials cites this paper.
Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic Potentials Orb-v3: atomistic simulation at scale
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T06:41:40.513788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.