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Paper Citation Record · LEDGER

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2110.06197.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2110.06197 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:53.442203Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T18:20:04.926578Z

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Outbound references

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Pith citing papers

Observation 5522f30e-e03b-45a2-98a4-a6d17eb690a7 · inbound

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

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 40

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Observation b65a1026-edc7-432f-80cb-5efc21aa0c26 · inbound

Design Topological Materials by Reinforcement Fine-Tuned Generative Model cites this paper.

Design Topological Materials by Reinforcement Fine-Tuned Generative Model Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 46

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arxiv_id, observed 2026-05-22T19:16:58.691006Z

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Observation ee678bfb-af4c-4a5d-a341-3172c49c7738 · inbound

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models cites this paper.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 30

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Observation eb9c7507-1271-42eb-9fe7-890a848538dd · inbound

Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework cites this paper.

Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 2018

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Observation 125f0c09-4390-4b95-aaec-dc00b93dd9ad · inbound

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools cites this paper.

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 61

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Unavailable: canonical work link unavailable.

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Observation 209499d0-e82c-4a05-a96c-017a868ae38a · inbound

TopoMAS: Large Language Model Driven Topological Materials Multiagent System cites this paper.

TopoMAS: Large Language Model Driven Topological Materials Multiagent System Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 12

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Observation 159c5af0-70e6-485e-bf29-e6b9690ab969 · inbound

Universal crystal material property prediction via multi-view geometric fusion in graph transformers cites this paper.

Universal crystal material property prediction via multi-view geometric fusion in graph transformers Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 29

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Observation da5c2727-624e-4a54-81d6-9a50ca4fd5bc · inbound

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design cites this paper.

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 46

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

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Observation 8e7d04a4-6d8a-4523-aa7d-24fae2704007 · inbound

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling cites this paper.

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 7

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Observation 068c39ef-3c75-419f-9d31-182a8eb7c68a · inbound

AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis cites this paper.

AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 16

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Unavailable: canonical work link unavailable.

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Observation bc5e93d1-d1af-44a4-8bc6-4332af8d13e1 · inbound

DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer cites this paper.

DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 49

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no resolver link, observed 2026-08-05T21:46:37.425652Z

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Unavailable: canonical work link unavailable.

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Observation b2def686-a9f1-40e8-8297-e4cccfcd6373 · inbound

AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors cites this paper.

AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 27

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no resolver link, observed 2026-08-04T09:20:53.091197Z

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Unavailable: canonical work link unavailable.

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Observation 64cf425a-3cf1-4fb3-839d-e1891a0a44d8 · inbound

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation cites this paper.

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 31

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Observation 9c49798e-0434-4870-b9ee-07fb06b091c7 · inbound

Discovery and recovery of crystalline materials with property-conditioned transformers cites this paper.

Discovery and recovery of crystalline materials with property-conditioned transformers Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 18

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Observation bf6f561e-fc1f-4a73-aaa7-3317b33d92b3 · 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 Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 72fb29ed-86b5-4002-928b-1966f8c5a5f7 · inbound

How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science cites this paper.

How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 71

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Unavailable: canonical work link unavailable.

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Observation 2fde238d-f7c9-4411-b441-7dbaba024c8b · inbound

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling cites this paper.

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 21

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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.

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Observation c1a78141-2c2d-4cc6-8beb-90a9541b5285 · inbound

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling cites this paper.

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 2018

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 625de638-64ec-4988-85d4-01a932966f67 · inbound

Offline Materials Optimization with CliqueFlowmer cites this paper.

Offline Materials Optimization with CliqueFlowmer Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 25

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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.

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Observation 722dc5bd-a48e-48c3-bf09-689395b641f4 · inbound

Crystalite: A Lightweight Transformer for Efficient Crystal Modeling cites this paper.

Crystalite: A Lightweight Transformer for Efficient Crystal Modeling Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 053f0511-9ec1-4495-8e52-47175d696633 · inbound

LEGO-MOF: Equivariant Latent Manipulation for Editable, Generative, and Optimizable MOF Design cites this paper.

LEGO-MOF: Equivariant Latent Manipulation for Editable, Generative, and Optimizable MOF Design Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 18

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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.

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Observation 5894f64e-41b4-4901-a8f7-4b34fe261270 · inbound

Generation of magnetic metal-organic frameworks cites this paper.

Generation of magnetic metal-organic frameworks Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 40

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

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Observation d90e35ed-ccd2-4f38-8a07-429230feaf7e · inbound

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation cites this paper.

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 15

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arxiv_id, observed 2026-05-19T16:52:40.123446Z

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

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Observation 52329eb5-775d-456c-9c62-6aa2b59b9319 · inbound

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement cites this paper.

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 51

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

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Observation 7efa5ab3-5191-4edc-97fb-26db742fcf81 · inbound

Composable Crystals: Controllable Materials Discovery via Concept Learning cites this paper.

Composable Crystals: Controllable Materials Discovery via Concept Learning Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 36

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arxiv_id, observed 2026-06-30T21:55:05.851151Z

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.

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Observation 58083c3e-6568-4c1e-a6c5-1b73c12c4935 · inbound

Bridging Atomistic Simulation and Experimental Processing Timescales with Goal-Directed Deep Reinforcement Learning cites this paper.

Bridging Atomistic Simulation and Experimental Processing Timescales with Goal-Directed Deep Reinforcement Learning Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 10

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arxiv_id, observed 2026-05-20T16:28:38.116440Z

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

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Observation 7dd5a61a-ff28-41f9-9fc0-ffab72071454 · inbound

PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation cites this paper.

PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 41

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arxiv_id, observed 2026-05-20T18:08:50.691766Z

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.

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Observation c6a650e5-e4ad-4a2f-a7f0-40ff83e0a05d · inbound

Theory-Guided, Machine-Learning-Accelerated Discovery of a 3D Carbon Nested Nodal-Surface Semimetal cites this paper.

Theory-Guided, Machine-Learning-Accelerated Discovery of a 3D Carbon Nested Nodal-Surface Semimetal Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 9

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verified exact
arxiv_id, observed 2026-05-22T05:31:08.156763Z

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

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Latent Diffusion Pretraining for Crystal Property Prediction cites this paper.

Latent Diffusion Pretraining for Crystal Property Prediction Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 86

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arxiv_id, observed 2026-06-28T19:32:34.847987Z

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.

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Observation 51286702-6b83-4818-901d-60eca57c03c8 · inbound

Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design cites this paper.

Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 16

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verified exact
arxiv_id, observed 2026-07-02T00:16:24.587775Z

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.

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Observation dd8d2860-a5bb-4543-91f7-71435e7ae1b3 · inbound

MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science cites this paper.

MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 47

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arxiv_id, observed 2026-07-02T19:17:18.625389Z

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.

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Observation 1056235a-50fe-4738-ae16-55ee1b841c36 · inbound

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining cites this paper.

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 2

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arxiv_id, observed 2026-07-03T19:28:52.436853Z

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.

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Observation e5424ebb-6dd1-4e91-82ea-ccf75a847e53 · inbound

Atomistic Language Models Understand and Generate Materials cites this paper.

Atomistic Language Models Understand and Generate Materials Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 12

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verified exact
arxiv_id, observed 2026-07-04T06:09:36.482167Z

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.

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Observation bd0d4e68-c4bf-482f-8e87-43f24d879453 · inbound

Two-Dimensional Phase Transitions in Classical Systems: 60 Years after the Hohenberg-Mermin-Wagner Theorem cites this paper.

Two-Dimensional Phase Transitions in Classical Systems: 60 Years after the Hohenberg-Mermin-Wagner Theorem Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 227

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verified exact
arxiv_id, observed 2026-07-04T18:20:04.928287Z

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.

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Observation 4f948c0d-bade-4d11-8f7c-87d1471c2069 · inbound

Error-Conditioned Neural Solvers cites this paper.

Error-Conditioned Neural Solvers Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:49:51.582488Z

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.

source=arxiv_source observed=2026-06-26T04:54:56.698035Z digest=sha256:6680a03b8c09260897b1798d90b1140ad823ba5c98377e5a4d50368643a82090

Observation e6ee99c5-7607-47c7-99ca-e8b2d5850841 · inbound

Surrogate-Gated Generation and Foundation-Model Embeddings for Bayesian Materials Design cites this paper.

Surrogate-Gated Generation and Foundation-Model Embeddings for Bayesian Materials Design Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:34:05.261685Z

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.

source=pdf_text observed=2026-06-30T00:33:50.633704Z digest=sha256:0415ffe895e260fc76d433b2d536c3fc5f61925aff6ffd341e8db4dbe8a83f22

Observation 28cef1f1-dbd8-4b5c-b2da-8a585c418a29 · inbound

Latent Genetic Algorithm for Crystal Structure Prediction cites this paper.

Latent Genetic Algorithm for Crystal Structure Prediction Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-30T02:54:10.366633Z

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.

source=pdf_text observed=2026-06-30T02:25:01.920408Z digest=sha256:60e930c301af1335429152a3093f03f719c4fe8a11e7696dea60bbf7b82b3bb7

Observation cde52238-aedb-44f0-89b8-e2ca21342aaa · inbound

Hybrid DiffractGPT-Rietveld Refinement Framework for Automated X-ray Diffraction Analysis cites this paper.

Hybrid DiffractGPT-Rietveld Refinement Framework for Automated X-ray Diffraction Analysis Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-13T06:01:59.213765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:01:59.213765Z digest=sha256:d3ac612610492d1742a72a3ce76b8a89e10e9d9beaedc267e21b00366c18cdf2

Observation ee0d367f-eacc-443b-99ab-2055e4bb5c08 · inbound

Property-Guided Diffusion for Inverse Design of Crystalline Materials cites this paper.

Property-Guided Diffusion for Inverse Design of Crystalline Materials Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T06:36:06.388197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:36:06.388197Z digest=sha256:63be51f59c022e5ebb09e0226bfc428d7c281158b2878cd24363d213249ccb61

Observation c9c6c284-33c3-4902-b35f-0e569e4384cf · inbound

Extracting Atomic Environments for Machine Learning Interatomic Potentials cites this paper.

Extracting Atomic Environments for Machine Learning Interatomic Potentials Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T00:54:49.036192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:54:49.036192Z digest=sha256:b174f56c35df2a76765e2ef396d9c93bc89bc0def46f628a1d6a4848677a6b3b

Observation dfe85816-6282-4153-b9e7-5cde7fa4da89 · inbound

Extracting Atomic Environments for Machine Learning Interatomic Potentials cites this paper.

Extracting Atomic Environments for Machine Learning Interatomic Potentials Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T03:18:06.290588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T03:18:06.290588Z digest=sha256:69b2b3e40a478ba245b102f7afb3f4d08b7b0afcf2a305696ab8ef0a2e828cb0