Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:29.581182Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 5 inbound Pith citation observations for arXiv:2504.19578.
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 2026-08-16T05:53:29.581182Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T08:46:41.886218Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T01:23:49.425751Z
100 of 103 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0e66ff9b-9e6b-4f50-95d1-23fc9e58d7f3 · outbound
LAMBench: A Benchmark for Large Atomistic Models A Comprehensive Overview of Large Language Models
Reference 1
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Observation 016e0b0b-f602-4c2f-a807-21505e430e58 · outbound
LAMBench: A Benchmark for Large Atomistic Models Schr¨ odinger, Quantisierung als eigenwertproblem, Annalen der physik 386, 109 (1926)
Reference 2
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Reference 3
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Observation d99d2475-6df5-4e01-82bd-b359970827cf · outbound
Reference 4
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Observation 25810b7d-7293-4904-a3ce-8f81eb299d45 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 5
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LAMBench: A Benchmark for Large Atomistic Models Hohenberg and W
Reference 6
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Reference 7
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 8
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Observation daf9361b-f391-48eb-9823-a92f2a171870 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 9
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Observation c0dbaaca-9dc0-44b1-885e-f0264efe2579 · outbound
LAMBench: A Benchmark for Large Atomistic Models Mardirossian and M
Reference 10
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LAMBench: A Benchmark for Large Atomistic Models A foundation model for atomistic materials chemistry
Reference 11
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Observation 2d96193e-a958-4251-af51-e7254c9dbed7 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 12
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Observation 42511310-1a3e-4a38-a502-441d1e44a715 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 13
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Observation 9c4e6ea0-54da-4104-9334-04bcee95e7be · outbound
LAMBench: A Benchmark for Large Atomistic Models Zubatyuk, J
Reference 14
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Observation c735ab08-e56d-4fcf-9b35-acfdcbc3a9b2 · outbound
LAMBench: A Benchmark for Large Atomistic Models Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning
Reference 15
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Observation 61f5e100-9ca8-40fb-8c29-d6513c874764 · outbound
LAMBench: A Benchmark for Large Atomistic Models From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
Reference 16
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Observation a1bc925a-8219-4202-a363-c6480a727098 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 17
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Observation 043a04b0-31f3-4a50-bea1-3b7ab04520cf · outbound
LAMBench: A Benchmark for Large Atomistic Models MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Reference 18
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Observation cfaab87a-d841-48ff-9f47-aee26b88bdbd · outbound
LAMBench: A Benchmark for Large Atomistic Models Let's Verify Step by Step
Reference 19
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Observation 6e3490e4-06b6-4a9b-b97d-3be94502c1ce · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 20
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Observation 31c3acaa-5d49-4c00-999a-fca0e3d74414 · outbound
LAMBench: A Benchmark for Large Atomistic Models Kryshtafovych, T
Reference 21
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Observation 2f0569a7-f7f4-47c7-bf25-da57451356ff · outbound
Reference 22
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Observation 30d71226-8093-475e-9f10-8ea800fd1d88 · outbound
LAMBench: A Benchmark for Large Atomistic Models Ramakrishnan, P
Reference 23
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Observation 9500535c-2536-4e55-896e-5d8dfc168596 · outbound
Reference 24
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Observation 91705586-2734-4523-98bf-f9b9f27a4eca · outbound
LAMBench: A Benchmark for Large Atomistic Models Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a992d1-73c6-49ce-80ec-862bd0fcc4ef · outbound
LAMBench: A Benchmark for Large Atomistic Models Chanussot*, A
Reference 26
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LAMBench: A Benchmark for Large Atomistic Models Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
Reference 27
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Observation 2952c8c4-2465-483a-8df6-f8b4d8935c14 · outbound
LAMBench: A Benchmark for Large Atomistic Models Orb: A Fast, Scalable Neural Network Potential
Reference 28
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 29
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Reference 30
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Observation d4c642d3-e415-46ae-85f9-c7e36f145087 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 31
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 32
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Observation 336954d3-8c8c-4b61-b7c4-77d7c89e7347 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 33
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Observation edafe2fd-e9a8-4815-a9c6-8ec7d72affca · outbound
LAMBench: A Benchmark for Large Atomistic Models Probing out-of-distribution generalization in machine learning for materials
Reference 34
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Observation 5745a7a7-fff0-44db-b60f-dce2dc7f3497 · outbound
Reference 35
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Observation 866f2b8b-29ca-4090-8342-53932932f0e8 · outbound
LAMBench: A Benchmark for Large Atomistic Models Lopanitsyna, G
Reference 36
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Reference 37
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Observation 8a406aeb-e37a-4bbc-b472-8a4af0796845 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 38
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Observation 4af1bdba-a408-4766-a0c3-ac7136b76ca9 · outbound
Reference 39
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Observation d9b00b29-b2d5-4d43-a8bc-a2b9e0e2e097 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 40
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Observation 8d10f290-416b-49d7-a08f-d5a9da048db2 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 41
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Reference 42
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Observation 303b02b4-e828-4ff9-849d-ce07ae6162bb · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 43
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Observation 713d2ab9-6f31-4b49-98da-c06a87698c71 · outbound
Reference 44
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Observation 96259bd8-c605-4969-8ac3-bb44efdc6634 · outbound
LAMBench: A Benchmark for Large Atomistic Models Vandermause, Y
Reference 45
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Observation 2dd4a1b0-611e-40dd-b301-46943038f6dd · outbound
LAMBench: A Benchmark for Large Atomistic Models Fern´ andez-Villanueva, P
Reference 46
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Reference 47
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Reference 48
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Observation e9d17044-86ba-4766-b32f-b2cdc5457713 · outbound
LAMBench: A Benchmark for Large Atomistic Models Universal Machine Learning Interatomic Potentials are Ready for Phonons
Reference 49
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Reference 50
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 51
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 52
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Observation 3b6b4a3b-f8b1-4540-9b93-61df62a7ff29 · outbound
LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 53
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Observation 8207a6d1-4a4f-448c-9da7-775a84e1239d · outbound
Reference 54
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LAMBench: A Benchmark for Large Atomistic Models DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
Reference 55
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 56
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 57
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 58
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Reference 59
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Observation 8ca37625-89b7-42d2-8802-8ec7adfcf2f1 · outbound
LAMBench: A Benchmark for Large Atomistic Models An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage
Reference 60
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Reference 61
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 62
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LAMBench: A Benchmark for Large Atomistic Models MACE-OFF: Transferable Short Range Machine Learning Force Fields for Organic Molecules
Reference 63
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LAMBench: A Benchmark for Large Atomistic Models Chanussot, A
Reference 65
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LAMBench: A Benchmark for Large Atomistic Models Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Reference 66
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Reference 69
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
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Reference 73
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Observation 54d3a534-c4b1-4d6c-92a3-f9893689ef15 · outbound
LAMBench: A Benchmark for Large Atomistic Models Bochkarev, Y
Reference 74
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 75
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LAMBench: A Benchmark for Large Atomistic Models Dflow, a Python framework for constructing cloud-native AI-for-Science workflows
Reference 76
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 77
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LAMBench: A Benchmark for Large Atomistic Models Unresolved cited work
Reference 78
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Reference 81
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Reference 84
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Reference 85
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Reference 86
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Reference 89
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Reference 90
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Reference 92
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Reference 93
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