Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:33:05.621544Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 0 inbound Pith citation observations for arXiv:2506.17345.
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 2026-08-15T19:33:05.621544Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
100 of 111 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 454ffd3a-f146-41e3-a82a-a5ffb298ff6f · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Materials Science and Engineering: R: Reports63(1), 1–30 (2008)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Scientific reports3(1), 2810 (2013)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning ACS central science4(8), 996–1006 (2018)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature reviews materials3(5), 5–20 (2018)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning npj Computational Materials8(1), 84 (2022)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Oxford University Press, Oxford (2014)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature communications13(1), 5454 (2022)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning MRS Bulletin47(10), 1036–1044 (2022) https://doi.org/10.1557/ s43577-022-00424-0 27
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature chemistry1(1), 37–46 (2009)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Elsevier, Amsterdam (1999)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Integrating Materials and Manufacturing Innovation7, 43–51 (2018)
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Observation 40b4e4fd-02c1-4c26-bf4d-9d4ca2164307 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Springer, New York (2012)
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Observation 01de3599-b9c8-40a6-b1f9-9bee97175d3b · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Physical Chemistry Chemical Physics22(20), 11174–11196 (2020)
Reference 13
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Observation 3af7e823-3d0b-49bc-b780-2fc97fcf0d05 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Journal of the American Chemical Society146(29), 20009–20018 (2024)
Reference 14
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Observation b2e85b07-b361-4b8f-97c9-31d5593a1251 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Crystallography Reviews10(1), 17–22 (2004)
Reference 15
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Observation 372195b3-5ea6-4f54-919c-ba22aa9b36b6 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Chem1(4), 617–627 (2016)
Reference 16
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning ACS Omega (2024)
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Observation bb6b4bcd-9fc0-4627-801a-d786529dfbe3 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning In: International Conference on Machine Learning, pp
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Observation 802bc0f2-3d41-4058-8687-5dee62730395 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Physical review letters120(14), 145301 (2018)
Reference 19
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Observation c61c68cf-7e15-4326-a635-890554bc12d0 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature communications 11(1), 6280 (2020) 28
Reference 20
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning npj Computational Materials7(1), 185 (2021)
Reference 21
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Connectivity Optimized Nested Graph Networks for Crystal Structures
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Advanced Science9(18), 2200164 (2022)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Npj Computational Materials7(1), 77 (2021)
Reference 24
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Observation b9c29941-aadd-4fef-bfd9-4b6544112003 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning The Journal of Chemical Physics148(24) (2018)
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Observation 98548d71-c2e1-4912-8ce1-d8684f0a833c · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning In: International Conference on Machine Learning, pp
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Observation 36c1ce55-8f2f-4050-ab5e-025d8051a2f1 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Science Advances9(45), 3245 (2023)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Science Advances 8(30), 4117 (2022)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature Communications14(1), 7027 (2023)
Reference 29
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Communications Materials3(1), 1–9 (2022) https://doi.org/10.1038/s43246-022-00283-x
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Observation e04e2e29-a481-44cc-b58f-e58efbd65c25 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning On the Opportunities and Risks of Foundation Models
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Observation 174e43d9-5922-4dc3-92e1-c9c281843db3 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Advances in neural information processing systems30(2017)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Language Models are Few-Shot Learners
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Observation 61a0ac7d-5c58-4da8-8ec8-7044604e413b · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning npj Computational Materials11(1), 84 (2025)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Scaling Laws for Neural Language Models
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Training Compute-Optimal Large Language Models
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature Machine Intelligence5(11), 1297–1305 (2023)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature, 1–6 (2023)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Crystal Structure Generation with Autoregressive Large Language Modeling
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature Machine Intelligence4(12), 1256–1264 (2022)
Reference 45
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Advances in Neural Information Processing Systems36, 1452–1475 (2023)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Journal of Applied Physics 135(16) (2024)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Physical Review Materials7(2), 023803 (2023)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nature Communications15(1), 8649 (2024)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Scripta Materialia207, 114217 (2022)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Cell Reports Physical Science4(10) (2023)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Computational Materials Science253, 113828 (2025)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Digital Discovery3(8), 1509–1533 (2024)
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Observation 0f32c367-33c8-4f1f-a506-90ddbb2ae937 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning John Wiley & Sons, Hoboken (2018)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Springer, Dordrecht (2014)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Advances in Neural Information Processing Systems35, 11423–11436 (2022)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Complete and Efficient Graph Transformers for Crystal Material Property Prediction
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Space Group Constrained Crystal Generation
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Cambridge University Press, Cambridge (2012)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Unresolved cited work
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning In: International Conference on Machine Learning, pp
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Universal Sentence Representation Learning with Conditional Masked Language Model
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning npj Computational Materials7(1), 12 (2021)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Chemistry of Materials 31(9), 3564–3572 (2019)
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Observation ec83c859-0f1d-4bc8-b25d-4003f1ae9926 · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Quantifying Attention Flow in Transformers
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Mathematics of computation35(151), 773–782 (1980)
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Non-convolutional Graph Neural Networks
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning A Note on Over-Smoothing for Graph Neural Networks
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning A Survey on Oversmoothing in Graph Neural Networks
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning On the Bottleneck of Graph Neural Networks and its Practical Implications
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Understanding over-squashing and bottlenecks on graphs via curvature
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Reference 78
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Journal of research of the National Bureau of Standards57(2), 67–82 (1956)
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Observation 19111349-f5b3-4957-b85f-51d79aa0fc3d · outbound
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Unresolved cited work
Reference 80
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning The Journal of Chemical Thermodynamics31(12), 1573–1583 (1999) 33
Reference 81
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Reference 82
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Reference 83
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Reference 84
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Reference 85
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Reference 86
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Reference 87
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Reference 88
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Reference 89
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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Nucleic acids research40(D1), 420–427 (2012)
Reference 90
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Reference 91
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Reference 92
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Reference 93
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Reference 94
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Observation b7f2b86a-3d33-4d77-bfee-2c5f226f9875 · outbound
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Reference 95
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Reference 96
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Observation 9b24e7a5-35e4-4eba-bd11-0ca2bd4f7e71 · outbound
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Reference 97
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Observation 39e85dc2-ec6c-4457-89ef-a2af9cdd0640 · outbound
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Reference 98
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Observation f6eecf25-e67a-4acc-9e88-e112fdc86628 · outbound
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Reference 99
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Observation da784ab9-96fb-4f66-bd97-843cd5a9c99a · outbound
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Reference 100
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