Siamese Foundation Models for Crystal Structure Prediction | Paper Citation Record

Observation 53c10346-e5f4-44ff-8683-96f860d75792 · outbound

This paper cites https://doi.org/10.48505/nims.3739.

Siamese Foundation Models for Crystal Structure Prediction https://doi.org/10.48505/nims.3739

Reference 1

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Observation 7457fd48-b233-45d8-9d45-bba5f2d92827 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500.

Siamese Foundation Models for Crystal Structure Prediction Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500

Reference 2

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This paper cites GPT-4 Technical Report.

Siamese Foundation Models for Crystal Structure Prediction GPT-4 Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.080776Z

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Observation ba8b8aef-4b75-421a-b895-609b1d930ed9 · outbound

This paper cites Equivariant energy-guided sde for inverse molecular design.

Siamese Foundation Models for Crystal Structure Prediction Equivariant energy-guided sde for inverse molecular design

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.584615Z

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Observation 73495c04-c72c-47c9-94f0-c05b7e9cc199 · outbound

This paper cites Microscopic theory of superconductivity.

Siamese Foundation Models for Crystal Structure Prediction Microscopic theory of superconductivity

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.566032Z

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Observation 954d695c-4998-49f7-94c9-b87afb52a296 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Siamese Foundation Models for Crystal Structure Prediction A foundation model for atomistic materials chemistry

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.065099Z

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Observation 48373931-ba82-46a7-b077-545de92d1ce6 · outbound

This paper cites The inorganic crystal structure data base.

Siamese Foundation Models for Crystal Structure Prediction The inorganic crystal structure data base

Reference 7

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Observation 75d39bca-7af0-4960-b6f8-5bc9c56b8863 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Siamese Foundation Models for Crystal Structure Prediction On the Opportunities and Risks of Foundation Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.075607Z

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Observation cffb83d7-dbff-4e96-9c32-3eeb4c943fa6 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

Siamese Foundation Models for Crystal Structure Prediction Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.527731Z

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Observation f152629d-3cf7-4ffb-a2cb-baefb948dcfa · outbound

This paper cites Graph networks as a universal machine learning framework for molecules and crystals.Chemistry of Materials, 31 (9):3564–3572.

Siamese Foundation Models for Crystal Structure Prediction Graph networks as a universal machine learning framework for molecules and crystals.Chemistry of Materials, 31 (9):3564–3572

Reference 10

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Observation 492b3479-5ccb-40b5-bd18-250c8873fa3c · outbound

This paper cites Learning superconductivity from ordered and disordered material structures.

Siamese Foundation Models for Crystal Structure Prediction Learning superconductivity from ordered and disordered material structures

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.597630Z

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Observation 45db1384-616e-4709-9832-cdbd368dd8c9 · outbound

This paper cites Atomistic line graph neural network for improved materials property predictions.npj Computational Materials, 7(1):185.

Siamese Foundation Models for Crystal Structure Prediction Atomistic line graph neural network for improved materials property predictions.npj Computational Materials, 7(1):185

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.541267Z

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Observation 135eb52d-b318-4bce-92e8-63fc2a87b5c9 · outbound

This paper cites High-throughput identification and characterization of two-dimensional materials using density functional theory.

Siamese Foundation Models for Crystal Structure Prediction High-throughput identification and characterization of two-dimensional materials using density functional theory

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.600694Z

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Observation e6916690-3dfb-409b-8d16-fc6f4b396cf2 · outbound

This paper cites The joint automated repository for various integrated simulations (jarvis) for data-driven materials design.npj computational materials, 6(1):173.

Siamese Foundation Models for Crystal Structure Prediction The joint automated repository for various integrated simulations (jarvis) for data-driven materials design.npj computational materials, 6(1):173

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.595051Z

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Observation ab0e0a14-a5f6-464e-8f11-705ae511fe2a · outbound

This paper cites Jarvis-leaderboard: a large scale benchmark of materials design methods.npj Computational Materials, 10(1):93.

Siamese Foundation Models for Crystal Structure Prediction Jarvis-leaderboard: a large scale benchmark of materials design methods.npj Computational Materials, 10(1):93

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.560029Z

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Observation 50f1d98e-9a44-4a69-87cd-6de8c8098d89 · outbound

This paper cites Crystal stability and the theory of ferroelectricity.Advances in Physics, 9(36): 387–423.

Siamese Foundation Models for Crystal Structure Prediction Crystal stability and the theory of ferroelectricity.Advances in Physics, 9(36): 387–423

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.554452Z

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Observation ddff90a6-59fb-4a01-88e7-1c4547b25566 · outbound

This paper cites 3-d inorganic crystal structure generation and property prediction via representation learning.Journal of Chemical Information and Modeling, 60(10):4518–4535.

Siamese Foundation Models for Crystal Structure Prediction 3-d inorganic crystal structure generation and property prediction via representation learning.Journal of Chemical Information and Modeling, 60(10):4518–4535

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.581399Z

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Observation 99763fc4-b00a-4305-b9bf-4f3b6b15f301 · outbound

This paper cites Crysgnn: Distilling pre-trained knowledge to enhance property prediction for crystalline materials.

Siamese Foundation Models for Crystal Structure Prediction Crysgnn: Distilling pre-trained knowledge to enhance property prediction for crystalline materials

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.538712Z

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Observation 021b521e-37a5-43f1-bd99-e5b168169a11 · outbound

This paper cites Riemannian score-based generative modelling.Advances in Neural Information Processing Systems, 35:2406–2422.

Siamese Foundation Models for Crystal Structure Prediction Riemannian score-based generative modelling.Advances in Neural Information Processing Systems, 35:2406–2422

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.544224Z

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Observation b0546ccf-4411-4601-8644-dc9c3a8677a1 · outbound

This paper cites Charting the complete elastic properties of inorganic crystalline compounds.Scientific data, 2 (1):1–13.

Siamese Foundation Models for Crystal Structure Prediction Charting the complete elastic properties of inorganic crystalline compounds.Scientific data, 2 (1):1–13

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.552093Z

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Observation 6013109f-258c-4921-a956-11a4b57f240c · outbound

This paper cites Cryptic crystallography.Nature materials, 1(2):77–79.

Siamese Foundation Models for Crystal Structure Prediction Cryptic crystallography.Nature materials, 1(2):77–79

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.606525Z

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Observation 46f49e4c-e63d-4cca-86be-52c8cfe3de2d · outbound

This paper cites Benchmarking materials property prediction methods: the matbench test set and automatminer reference algorithm.

Siamese Foundation Models for Crystal Structure Prediction Benchmarking materials property prediction methods: the matbench test set and automatminer reference algorithm

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.533205Z

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Observation 9eca9c97-1fa5-42c6-9194-6e24d9069301 · outbound

This paper cites Charge-4 e and charge-6 e flux quantization and higher charge superconductivity in kagome superconductor ring devices.Physical Review X, 14(2):021025.

Siamese Foundation Models for Crystal Structure Prediction Charge-4 e and charge-6 e flux quantization and higher charge superconductivity in kagome superconductor ring devices.Physical Review X, 14(2):021025

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.612539Z

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Observation 18591466-b926-42a9-9f48-e2a28a001503 · outbound

This paper cites Inverse design of 3d molecular structures with conditional generative neural networks.

Siamese Foundation Models for Crystal Structure Prediction Inverse design of 3d molecular structures with conditional generative neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.609199Z

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Observation 2c0b580b-8d05-46da-ba3a-e0de0204cfc1 · outbound

This paper cites Quantum espresso: a modular and open-source software project for quantumsimulations of materials.

Siamese Foundation Models for Crystal Structure Prediction Quantum espresso: a modular and open-source software project for quantumsimulations of materials

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.620928Z

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Observation dd9b9e35-b118-4aee-a889-cf83f7198fbd · outbound

This paper cites Advanced capabilities for materials modelling with quantum espresso.Journal of physics: Condensed matter, 29(46):465901.

Siamese Foundation Models for Crystal Structure Prediction Advanced capabilities for materials modelling with quantum espresso.Journal of physics: Condensed matter, 29(46):465901

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.626378Z

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Observation 8fd8e3e4-77a3-4005-9562-fdfba14275c0 · outbound

This paper cites Deep residual learning for image recognition.

Siamese Foundation Models for Crystal Structure Prediction Deep residual learning for image recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.530417Z

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Observation 5e4ff131-c4b0-4d58-80d9-c48e5f0b844f · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Siamese Foundation Models for Crystal Structure Prediction Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.618266Z

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Observation 967f9ea3-1ecb-44fa-9a5d-1da0af6ac6fa · outbound

This paper cites Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646.

Siamese Foundation Models for Crystal Structure Prediction Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.536057Z

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Observation 39dfed9e-cd89-4e8e-b673-17b72d744735 · outbound

This paper cites Equivariant diffusion for molecule generation in 3d.

Siamese Foundation Models for Crystal Structure Prediction Equivariant diffusion for molecule generation in 3d

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.556994Z

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Observation 1f902eed-2127-4d1a-b933-4d294f22e59b · outbound

This paper cites Distance matrix-based crystal structure prediction using evolutionary algorithms.The Journal of Physical Chemistry A, 124(51):10909–10919.

Siamese Foundation Models for Crystal Structure Prediction Distance matrix-based crystal structure prediction using evolutionary algorithms.The Journal of Physical Chemistry A, 124(51):10909–10919

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.569238Z

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Observation 5a45eff2-2c64-4fb5-b409-af7218d5b792 · outbound

This paper cites Mdm: Molecular diffusion model for 3d molecule generation.

Siamese Foundation Models for Crystal Structure Prediction Mdm: Molecular diffusion model for 3d molecule generation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.589015Z

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Observation b060a3f2-adf7-46c4-b465-185a70054326 · outbound

This paper cites The materials project: a materials genome approach to accelerating materials innovation.

Siamese Foundation Models for Crystal Structure Prediction The materials project: a materials genome approach to accelerating materials innovation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.519812Z

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Observation c8f37165-f74d-4c30-b118-424185f1c448 · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

Siamese Foundation Models for Crystal Structure Prediction Planning with diffusion for flexible behavior synthesis

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.522452Z

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Observation c4a3c38d-5bd8-4e0f-b619-4835c90e924e · outbound

This paper cites Crystal structure prediction by joint equivariant diffusion.Advances in Neural Information Processing Systems, 36.

Siamese Foundation Models for Crystal Structure Prediction Crystal structure prediction by joint equivariant diffusion.Advances in Neural Information Processing Systems, 36

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.623577Z

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Observation e49396c8-6c14-4e21-98ab-1fecdc89c2a0 · outbound

This paper cites Space group constrained crystal generation.

Siamese Foundation Models for Crystal Structure Prediction Space group constrained crystal generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.578152Z

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Observation 73fd0d5d-7386-4d1d-b83b-ba9eb545edde · outbound

This paper cites Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589.

Siamese Foundation Models for Crystal Structure Prediction Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.592206Z

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Observation faee15ad-0804-4d0c-b911-4b4e38d59cf9 · outbound

This paper cites The open quantum materials database (oqmd): assessing the accuracy of dft formation energies.npj Computational Materials, 1(1):1–15.

Siamese Foundation Models for Crystal Structure Prediction The open quantum materials database (oqmd): assessing the accuracy of dft formation energies.npj Computational Materials, 1(1):1–15

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.575084Z

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Observation 3e3279c7-8aa5-4fc2-ae54-26c87f9f9dca · outbound

This paper cites Self-consistent equations including exchange and correlation effects.

Siamese Foundation Models for Crystal Structure Prediction Self-consistent equations including exchange and correlation effects

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.563193Z

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Observation 41560fb1-c774-44d7-9bb2-05e7f4b4a475 · outbound

This paper cites Graph Contrastive Learning for Materials.

Siamese Foundation Models for Crystal Structure Prediction Graph Contrastive Learning for Materials

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:15:15.069173Z

Source-reported events for the cited work

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Observation b918fa7c-1089-4b01-beb4-4f7fc8d32be8 · outbound

This paper cites Quantum computers.nature, 464(7285):45–53.

Siamese Foundation Models for Crystal Structure Prediction Quantum computers.nature, 464(7285):45–53

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.615421Z

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Observation f058fe45-f227-461f-bb46-8ada8d84a40c · outbound

This paper cites From fundamental studies of reactivity on single crystals to the design of catalysts.Surface Science Reports, 35(5-8):163–222.

Siamese Foundation Models for Crystal Structure Prediction From fundamental studies of reactivity on single crystals to the design of catalysts.Surface Science Reports, 35(5-8):163–222

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.513446Z

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Observation ccef0b35-f0ae-4b15-b2ff-6d07bf5f114c · outbound

This paper cites Statistical physics, course of theoretical physics.

Siamese Foundation Models for Crystal Structure Prediction Statistical physics, course of theoretical physics

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.516518Z

Source-reported events for the cited work

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Observation 0506c54b-28d0-4643-9eed-52bc0181da41 · outbound

This paper cites Equivariant diffusion for crystal structure prediction.

Siamese Foundation Models for Crystal Structure Prediction Equivariant diffusion for crystal structure prediction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.525213Z

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Observation 4412c935-6716-47c8-bed2-ff0ba2c780aa · outbound

This paper cites Efficient ap- proximations of complete interatomic potentials for crystal property prediction.

Siamese Foundation Models for Crystal Structure Prediction Efficient ap- proximations of complete interatomic potentials for crystal property prediction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.423667Z

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Observation 73758a75-d46c-49d0-88a6-10e57704373b · outbound

This paper cites Flow Matching for Generative Modeling.

Siamese Foundation Models for Crystal Structure Prediction Flow Matching for Generative Modeling

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.039528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7eb7ae99-b519-45fc-b451-b58b167aa8c3 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Siamese Foundation Models for Crystal Structure Prediction DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.049495Z

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Observation 578ce45e-b55b-48c1-8198-ea2056a5cafa · outbound

This paper cites DeepSeek-V3 Technical Report.

Siamese Foundation Models for Crystal Structure Prediction DeepSeek-V3 Technical Report

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.028089Z

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Observation db476bda-ee36-42de-8539-ebf56386366d · outbound

This paper cites On the limited memory bfgs method for large scale optimization.

Siamese Foundation Models for Crystal Structure Prediction On the limited memory bfgs method for large scale optimization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.486226Z

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Observation 1535b2d9-c272-4a94-b281-e68231d06494 · outbound

This paper cites Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning.

Siamese Foundation Models for Crystal Structure Prediction Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.431607Z

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Observation ab397c21-1b8b-4e36-9600-8e97fe7ffada · outbound

This paper cites One transformer can understand both 2d & 3d molecular data.

Siamese Foundation Models for Crystal Structure Prediction One transformer can understand both 2d & 3d molecular data

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.426567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ef21c4c-0f82-49f2-9e5e-781656408a46 · outbound

This paper cites Crystalflow: A flow-based generative model for crystalline materials.

Siamese Foundation Models for Crystal Structure Prediction Crystalflow: A flow-based generative model for crystalline materials

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:15:15.057977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef9c28bf-a3d5-49d2-98cc-508c57a3d140 · outbound

This paper cites New developments in evolutionary structure prediction algorithm uspex.Computer Physics Communications, 184 (4):1172–1182.

Siamese Foundation Models for Crystal Structure Prediction New developments in evolutionary structure prediction algorithm uspex.Computer Physics Communications, 184 (4):1172–1182

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.500817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a31d4757-907f-462e-9c08-27ae35e53dbe · outbound

This paper cites Crystal twins: self-supervised learning for crystalline material property prediction.npj Computational Materials, 8(1):231.

Siamese Foundation Models for Crystal Structure Prediction Crystal twins: self-supervised learning for crystalline material property prediction.npj Computational Materials, 8(1):231

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.498052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e3cdf0f-dee4-43d6-b08a-7a1ece406121 · outbound

This paper cites Scaling deep learning for materials discovery.Nature, 624(7990):80–85.

Siamese Foundation Models for Crystal Structure Prediction Scaling deep learning for materials discovery.Nature, 624(7990):80–85

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.510119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 828b1d53-1554-4f84-8856-50abd4c36ccc · outbound

This paper cites an unresolved cited work.

Siamese Foundation Models for Crystal Structure Prediction Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-23T00:15:15.444019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53695a03-e6e4-48c6-a47a-3618db0aff92 · outbound

This paper cites Self-supervised learning for crystal property prediction via denoising.

Siamese Foundation Models for Crystal Structure Prediction Self-supervised learning for crystal property prediction via denoising

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.437824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d982ba2a-e80c-44b1-9594-8ef4c7f3d109 · outbound

This paper cites CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks.

Siamese Foundation Models for Crystal Structure Prediction CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.053518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6e8c848-8037-43fc-9ac2-a9245fe86baa · outbound

This paper cites Crystal structure prediction using ab initio evolutionary techniques: Principles and applications.The Journal of chemical physics, 124(24).

Siamese Foundation Models for Crystal Structure Prediction Crystal structure prediction using ab initio evolutionary techniques: Principles and applications.The Journal of chemical physics, 124(24)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.483399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d324ccc-12de-4c30-b30d-445276c7d9e9 · outbound

This paper cites Python materials genomics (pymatgen): A robust, open-source python library for materials analysis.

Siamese Foundation Models for Crystal Structure Prediction Python materials genomics (pymatgen): A robust, open-source python library for materials analysis

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.440281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 787cd144-6838-42d5-bcc4-180ce2a6766e · outbound

This paper cites Prediction of crystal structures from crystal chemistry rules by simulated annealing.Nature, 346(6282): 343–345.

Siamese Foundation Models for Crystal Structure Prediction Prediction of crystal structures from crystal chemistry rules by simulated annealing.Nature, 346(6282): 343–345

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.448466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 496c4aaa-3649-49c8-bce1-b489bb82b388 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Siamese Foundation Models for Crystal Structure Prediction Pytorch: An imperative style, high-performance deep learning library

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.460883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4159951c-c481-429a-a5e7-3d4ca5f3d15e · outbound

This paper cites High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials.

Siamese Foundation Models for Crystal Structure Prediction High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.506794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63892f58-a69e-4be1-9fd9-a4de3e73b03f · outbound

This paper cites Ab initio random structure searching.Journal of Physics: Condensed Matter, 23(5):053201.

Siamese Foundation Models for Crystal Structure Prediction Ab initio random structure searching.Journal of Physics: Condensed Matter, 23(5):053201

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.473384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a7f5e1e-d2de-48f8-a695-bfe6dc36c929 · outbound

This paper cites Schnet: A continuous-filter convolutional neural network for modeling quantum interactions.Advances in neural information processing systems, 30.

Siamese Foundation Models for Crystal Structure Prediction Schnet: A continuous-filter convolutional neural network for modeling quantum interactions.Advances in neural information processing systems, 30

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.470267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5690a5e9-e6a1-4c57-a313-e8eee771666f · outbound

This paper cites Improved protein structure prediction using potentials from deep learning.Nature, 577(7792):706–710.

Siamese Foundation Models for Crystal Structure Prediction Improved protein structure prediction using potentials from deep learning.Nature, 577(7792):706–710

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.476922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb75c8a7-0b76-430b-967e-7c27eda38382 · outbound

This paper cites Maximum likelihood training of score-based diffusion models.Advances in neural information processing systems, 34:1415–1428.

Siamese Foundation Models for Crystal Structure Prediction Maximum likelihood training of score-based diffusion models.Advances in neural information processing systems, 34:1415–1428

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.435020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00527bae-549c-4f13-9327-686a2f64c847 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems.

Siamese Foundation Models for Crystal Structure Prediction Attention is all you need.Advances in Neural Information Processing Systems

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.416578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9cf937cf-f848-40ee-958d-41a2adad59ab · outbound

This paper cites Energy landscapes and structure prediction using basin-hopping.Modern Methods of Crystal Structure Prediction, pages 29–54.

Siamese Foundation Models for Crystal Structure Prediction Energy landscapes and structure prediction using basin-hopping.Modern Methods of Crystal Structure Prediction, pages 29–54

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.494537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2089db4-f7b6-437a-8a74-e8025cafee0d · outbound

This paper cites Organic semiconductor crystals.

Siamese Foundation Models for Crystal Structure Prediction Organic semiconductor crystals

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.503805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99ea81eb-bd16-4164-83ae-43220d58f4b8 · outbound

This paper cites Protein conformation generation via force-guided se (3) diffusion models.

Siamese Foundation Models for Crystal Structure Prediction Protein conformation generation via force-guided se (3) diffusion models

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.420867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eae6b446-f5b8-4efc-b90d-acbcdbea6a8d · outbound

This paper cites Calypso: A method for crystal structure prediction.

Siamese Foundation Models for Crystal Structure Prediction Calypso: A method for crystal structure prediction

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.464012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86304807-5ef4-4ed2-8ac7-ab67af4418ca · outbound

This paper cites Observation of superconductivity and enhanced upper critical field ofη-carbide-type oxide zr4pd2o.

Siamese Foundation Models for Crystal Structure Prediction Observation of superconductivity and enhanced upper critical field ofη-carbide-type oxide zr4pd2o

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.480375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3f4c4ad-64f0-4bc1-ba5f-d6dc30d3ea0c · outbound

This paper cites Cambridge university press.

Siamese Foundation Models for Crystal Structure Prediction Cambridge university press

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.466876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e248d35a-314d-4d75-847f-257156ecf72a · outbound

This paper cites Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties.Physical review letters, 120(14):145301.

Siamese Foundation Models for Crystal Structure Prediction Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties.Physical review letters, 120(14):145301

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.489015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4990058a-9724-4a8e-a36b-18dfb498d2f9 · outbound

This paper cites Jaakkola.

Siamese Foundation Models for Crystal Structure Prediction Jaakkola

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.457852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84d6d32a-2ce3-4988-b82a-d58b251278a6 · outbound

This paper cites On layer normalization in the transformer architecture.

Siamese Foundation Models for Crystal Structure Prediction On layer normalization in the transformer architecture

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.454862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49164a70-6106-44ef-9a59-98545af9ac9a · outbound

This paper cites Periodic graph transformers for crystal material property prediction.Advances in Neural Information Processing Systems, 35:15066– 15080.

Siamese Foundation Models for Crystal Structure Prediction Periodic graph transformers for crystal material property prediction.Advances in Neural Information Processing Systems, 35:15066– 15080

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.492072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9473e4b2-c0d3-44bd-9a52-219d7c595a4c · outbound

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

Siamese Foundation Models for Crystal Structure Prediction MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:15:15.042953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b56458f-5f6c-40f1-a664-162fb6f9e6fc · outbound

This paper cites A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction.

Siamese Foundation Models for Crystal Structure Prediction A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:15:15.035920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6be6f30e-3f38-4629-9eec-36220b702860 · outbound

This paper cites MatterGen: a generative model for inorganic materials design.

Siamese Foundation Models for Crystal Structure Prediction MatterGen: a generative model for inorganic materials design

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T00:15:15.023937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56904230-7283-4ea0-8632-57896cfc8a4d · outbound

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

Siamese Foundation Models for Crystal Structure Prediction DPA-2: a large atomic model as a multi-task learner

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:15:15.032003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d91e2a6c-7e87-459f-9fd9-331c4d3fa5c1 · outbound

This paper cites 5(d, third row) shows the RMSEs for each sample size, demonstrating a clear downward trend with increasing sample size.

Siamese Foundation Models for Crystal Structure Prediction 5(d, third row) shows the RMSEs for each sample size, demonstrating a clear downward trend with increasing sample size

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:15:15.451788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers