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Paper Citation Record · LEDGER

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 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

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measured 0 of 0 reference resolution

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measured 48 of 48 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:47:39.972630Z

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 23b6ff59-d2fd-4693-b5a7-53f6bb42476c · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 111

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Observation 9fb7cdf4-3d52-4958-b2bf-9ddec1a65711 · inbound

Open Materials Generation with Stochastic Interpolants cites this paper.

Open Materials Generation with Stochastic Interpolants Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 29

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AI-driven materials design: a mini-review cites this paper.

AI-driven materials design: a mini-review Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 58

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Observation b97ca929-390b-4989-a2dd-79d5af867c89 · inbound

Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules cites this paper.

Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 8

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Observation 0863d19b-ac54-44b0-80ff-678c227461bd · inbound

Flow Matching for Collaborative Filtering cites this paper.

Flow Matching for Collaborative Filtering Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 2021

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Observation d7579ad7-16f6-4de6-bda9-daf8958ffbb1 · inbound

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction cites this paper.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 54

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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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Observation 74b61aac-23c7-4fd8-a856-e7d8a7f4b608 · inbound

xChemAgents: Agentic AI for Explainable Quantum Chemistry cites this paper.

xChemAgents: Agentic AI for Explainable Quantum Chemistry Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 40

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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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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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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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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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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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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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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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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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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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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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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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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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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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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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arxiv_id, observed 2026-05-12T10:11:28.832491Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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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arxiv_id, observed 2026-06-30T21:05:04.721484Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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arxiv_id, observed 2026-05-22T05:31:08.156763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6642fad6-e606-4389-b7e4-0f7bf64af682 · inbound

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T19:30:38.954152Z digest=sha256:cde9e5d747ee5e9147e469cbcdef6d7449f07433960577d4c859a0f62fe2b33f

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T13:30:35.790162Z digest=sha256:a46b8a44acd74bd35d34ea06b71dc81aba04396c3d4b35e985bef2081b977177

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T21:32:29.877356Z digest=sha256:40f3f0bb38ee80c8f0b8d880cb2a9a8f72696691eeee972a1d8342e9e8a8a05a

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

Resolution
metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T01:49:05.946138Z digest=sha256:7d9e6ed74948e4cdabffe627a451c111906037cccdbaf613ae75b911a4e279bf

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:54:28.608607Z digest=sha256:6acedeae1637ee00bd6ae181e6143b2555f433931e371249ade9aa51e69318ca

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T22:55:34.659853Z digest=sha256:ceea972148b5b9443c43364560e65e206b5e269f156c9e1e532a40f35bd7b2e4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T04:54:56.698035Z digest=sha256:11530f4e064a55d55e7fedb6716e2f96305bd6ce30c8f0de03067359263c1d29

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:33:50.633704Z digest=sha256:dba74a8d52a844cab9a8dfb15258b75733f00952ef86bcdf0e622ff91723f18a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T02:25:01.920408Z digest=sha256:24a67525e88bfff70ddb47c14e5a60a1bdd0b6c65c0990c206021e7f94ae85fe

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=sha256:38c12539ac56716c02295648e1d35e9039edb739d6c3a86d82eb45f70f6bcddb

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