Paper Citation Record · LEDGER

MatterGen: a generative model for inorganic materials design

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2312.03687.

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

pith.paper-citation-record.v1
2312.03687 v2

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measured 0 of 0 reference resolution

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measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:47:40.007645Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:49:50.751563Z

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Outbound references

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Pith citing papers

Observation 402e0953-d7a1-4bfc-a6d9-e647e5a24a15 · 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 MatterGen: a generative model for inorganic materials design

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:13:39.670264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b38e5f6-2799-4086-a6ca-b2e55e1e0139 · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation MatterGen: a generative model for inorganic materials design

Reference 122

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Observation 5db982b0-5f11-434c-821e-02fa2eefead7 · inbound

ReciNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction cites this paper.

ReciNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction MatterGen: a generative model for inorganic materials design

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T11:21:13.620657Z

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Observation 6e517327-8d04-4801-9362-3f67970068cb · inbound

Symmetry-Aware Bayesian Flow Networks for Crystal Generation cites this paper.

Symmetry-Aware Bayesian Flow Networks for Crystal Generation MatterGen: a generative model for inorganic materials design

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T05:47:50.068437Z

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Observation 2516b5a3-dfc3-4706-99e4-4d5062196aa8 · inbound

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models cites this paper.

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models MatterGen: a generative model for inorganic materials design

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T04:20:16.748196Z

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Observation c8084595-956e-46d9-a548-6ab16c853ae1 · inbound

Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning cites this paper.

Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning MatterGen: a generative model for inorganic materials design

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T22:58:25.599224Z

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Observation bc7575ca-5cb8-4a22-a38d-16af132df96a · 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 MatterGen: a generative model for inorganic materials design

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T17:14:51.151356Z

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Observation e533d9e0-14c6-4fc6-8181-08588d0e9f4f · inbound

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra cites this paper.

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra MatterGen: a generative model for inorganic materials design

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T21:04:57.846895Z

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

Siamese Foundation Models for Crystal Structure Prediction cites this paper.

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 2026-08-10T06:31:04.303077+00:00.

Observation f48008bd-4f2c-407f-bc7e-26d696171840 · inbound

CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning cites this paper.

CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning MatterGen: a generative model for inorganic materials design

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:01.641148Z

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Observation 6b0514c8-f340-42c9-a1ec-706b5f82bb56 · 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 MatterGen: a generative model for inorganic materials design

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:50.199192Z

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Observation 0df46cb0-c727-472b-8971-6d96ea2d8db0 · inbound

Data-Driven Topological Analysis of Polymorphic Crystal Structures cites this paper.

Data-Driven Topological Analysis of Polymorphic Crystal Structures MatterGen: a generative model for inorganic materials design

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T20:37:47.844967Z

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Observation d704610f-ce0b-415f-a84b-262237f6607d · inbound

Universal Machine Learning Potential for Systems with Reduced Dimensionality cites this paper.

Universal Machine Learning Potential for Systems with Reduced Dimensionality MatterGen: a generative model for inorganic materials design

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T17:53:51.371733Z

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Observation 456aa972-9775-4d3a-ba34-8d6c1778dc7c · inbound

Flow marching for a generative PDE foundation model cites this paper.

Flow marching for a generative PDE foundation model MatterGen: a generative model for inorganic materials design

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:51:25.669998Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45edef94-e9ee-40b1-99ba-f4b51956c2ec · inbound

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

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation MatterGen: a generative model for inorganic materials design

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T21:42:05.674720Z

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Observation 038ac4a2-a102-4deb-9faa-0a9ef95c810b · inbound

Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control cites this paper.

Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control MatterGen: a generative model for inorganic materials design

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T17:00:23.971714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 047f1bf8-3db0-4bb7-9b7c-db6b0c788ad9 · 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 MatterGen: a generative model for inorganic materials design

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T03:08:28.763152Z

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Observation 00dfa524-0470-4aed-9215-b0c9b0a1689c · 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 MatterGen: a generative model for inorganic materials design

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:10:27.690672Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e87eeeb-cbb8-48ec-9196-41ac13024ad6 · 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 MatterGen: a generative model for inorganic materials design

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T21:39:39.235202Z

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Observation ba704d51-6f15-4d2d-9857-12409bc59004 · inbound

Offline Materials Optimization with CliqueFlowmer cites this paper.

Offline Materials Optimization with CliqueFlowmer MatterGen: a generative model for inorganic materials design

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:36:13.279290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a5f71e5-7f5f-48a6-ac9c-aabd9a8afc0a · inbound

SLayerGen: a Crystal Generative Model for all Space and Layer Groups cites this paper.

SLayerGen: a Crystal Generative Model for all Space and Layer Groups MatterGen: a generative model for inorganic materials design

Reference 118

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:36:25.590935Z

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Observation aa06f13b-7128-451b-b394-0e5b0c7050d0 · inbound

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

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation MatterGen: a generative model for inorganic materials design

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:52:40.133037Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8eb433f-6542-47cd-ad5f-b0344f9f2240 · 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 MatterGen: a generative model for inorganic materials design

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:35:46.630855Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de330c09-6c50-477b-8328-e36722df7e84 · inbound

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

Composable Crystals: Controllable Materials Discovery via Concept Learning MatterGen: a generative model for inorganic materials design

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:55:05.858489Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03ccbf37-790f-49a0-a78d-3206eb62427c · inbound

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field cites this paper.

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field MatterGen: a generative model for inorganic materials design

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:23:47.796401Z

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Observation 7a466781-7332-4155-b9af-2b275209f2f3 · inbound

Latent Diffusion Pretraining for Crystal Property Prediction cites this paper.

Latent Diffusion Pretraining for Crystal Property Prediction MatterGen: a generative model for inorganic materials design

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:34.832570Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5039a6c-c94a-40b0-90b7-84d5447028b9 · inbound

RamanGPT: Bidirectional Mapping Between Crystal Structures and Raman Spectra with Graph Neural Networks and Generative Transformers cites this paper.

RamanGPT: Bidirectional Mapping Between Crystal Structures and Raman Spectra with Graph Neural Networks and Generative Transformers MatterGen: a generative model for inorganic materials design

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T04:26:35.379561Z

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Observation 9e548904-8a93-4fb0-8217-a1ac059bca39 · inbound

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models MatterGen: a generative model for inorganic materials design

Reference 182

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:37:19.148966Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d929174a-f779-43f9-8b35-8d07a73b7390 · inbound

Autonomous Generation of Metamaterial Databases Based on Multimodal Agents cites this paper.

Autonomous Generation of Metamaterial Databases Based on Multimodal Agents MatterGen: a generative model for inorganic materials design

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:49:50.753393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9fcdd1f-a6d5-4e88-8605-091b5c0a9f8e · inbound

Discovering Crystal Structure Prediction Algorithms with an AI Co-Scientist cites this paper.

Discovering Crystal Structure Prediction Algorithms with an AI Co-Scientist MatterGen: a generative model for inorganic materials design

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:46.984765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86da6565-d4aa-4c7e-9af5-5e2f937e5d94 · inbound

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation MatterGen: a generative model for inorganic materials design

Reference 202

Resolution: unresolved; no resolver link, observed 2026-08-02T05:17:49.148412Z

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