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Paper Citation Record · LEDGER

GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 53 inbound Pith citation observations for arXiv:2203.02923.

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

pith.paper-citation-record.v1
2203.02923 v1

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 53 of 53 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 53 of 53 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:53:48.209464Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:56:25.156976Z

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Outbound references

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Pith citing papers

Observation bdddc426-f2c4-48d2-aa54-10d4ccfdfa6c · inbound

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models cites this paper.

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 16

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arxiv_id, observed 2026-05-16T07:54:11.811284Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ee478127-238e-4354-bf28-77f83735caf8 · inbound

Stealing Training Graphs from Graph Neural Networks cites this paper.

Stealing Training Graphs from Graph Neural Networks GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 76

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source=pdf_text observed=2026-08-12T18:53:48.209464Z digest=sha256:0c92b597a62ed77d59fd814b9ad53a99c828ae095eec7730372ddfb96e8ba030

Observation a7ffc02c-45a8-4989-bf3a-1272a3c66e98 · inbound

Data Pruning in Generative Diffusion Models cites this paper.

Data Pruning in Generative Diffusion Models GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 59

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source=pdf_text observed=2026-08-12T17:30:09.277972Z digest=sha256:087078218cdefd6f601f136b8504bc040b109a2952aa0e74589fec0d251cd45b

Observation 9e7382aa-1cb6-43ac-885a-89b118cc6ad6 · inbound

From Graph Diffusion to Graph Classification cites this paper.

From Graph Diffusion to Graph Classification GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 29

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source=arxiv_source observed=2026-08-12T12:25:47.898724Z digest=sha256:a690288b9353f42315fda5831384961ed94b15029cfe938b9db4dea607e40a49

Observation a391fb68-0bf0-4475-b069-339f461b927f · inbound

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension cites this paper.

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 158

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source=arxiv_source observed=2026-08-12T12:08:57.299084Z digest=sha256:b40e633c8a396dfe1ba4decd388b8a0fcaf424e24c18ab72b9bae28d6f866293

Observation 72034921-222d-4443-81a8-413b4816e6d3 · inbound

LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation cites this paper.

LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 50

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source=arxiv_source observed=2026-08-11T21:41:49.779024Z digest=sha256:753601b9a52c5d6aee9bb8c10da217f4d47be642650234b18190c56e6a44c162

Observation 9c767079-ba2e-424a-bc8c-cceb4fb44435 · inbound

Stiefel Flow Matching for Moment-Constrained Structure Elucidation cites this paper.

Stiefel Flow Matching for Moment-Constrained Structure Elucidation GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 109

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source=arxiv_source observed=2026-08-11T14:05:28.327788Z digest=sha256:e21a16aa245eea65d7a8d834884f2ec05e7b4b02ebd05218739771ddc3b4b055

Observation c48da61e-4a15-4f88-ad24-1cb190e2a777 · inbound

Pharmacophore-guided de novo drug design with diffusion bridge cites this paper.

Pharmacophore-guided de novo drug design with diffusion bridge GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 19

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source=pdf_text observed=2026-08-11T18:44:52.150560Z digest=sha256:e8eb76a0c44a8a7c3f60d71494bafffffe764bef146e4ec210d46732aebe25b2

Observation 8f636ba9-5e19-44c7-b6a7-e7b0cbf01b8e · inbound

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation cites this paper.

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 37

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source=arxiv_source observed=2026-08-10T20:35:36.895631Z digest=sha256:fb013e8ee48b8f6bec146ac7dd879c50231a867e8e4cb06ddb124f98f27dc4e7

Observation 324bea81-0161-4b91-82f1-790ece66e732 · inbound

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review cites this paper.

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 15

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source=pdf_text observed=2026-08-10T19:50:33.683673Z digest=sha256:3d8d6df219babf46f4027493bfdb237f5ba4fa4fbe64f99ccefbeae6f6aa4d35

Observation 155c2cbe-35a1-495b-9c67-dcdddbc2b032 · inbound

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning cites this paper.

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 27

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source=pdf_text observed=2026-08-09T14:29:12.435649Z digest=sha256:b5fa3405e502cb4a3b21aa03f5d6ecdeadb294fe7f2399aba911bba68872e277

Observation e93e452a-ed34-412d-8735-6505aa7ba09f · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 114

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source=arxiv_source observed=2026-08-09T13:47:39.981308Z digest=sha256:ff3287abdeaeb67385c0c3f824b0b5ba5348438595dd38c8928e1aff763bc91b

Observation ec92d171-aaf8-41a0-b71c-87e725c69c27 · inbound

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

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 59

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source=arxiv_source observed=2026-08-09T04:20:16.732698Z digest=sha256:aa18dc9bcbec8aee4610e8f21f26a3beef47e6c3d1b09809e90a4db562fe0dbb

Observation b7be3317-61bc-470f-aa55-1c1d3496d48a · inbound

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration cites this paper.

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 43

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Observation 239d932e-45f8-4ab9-8939-9c44cc13b098 · inbound

Flow Matching for Collaborative Filtering cites this paper.

Flow Matching for Collaborative Filtering GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 47

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source=pdf_text observed=2026-08-08T13:15:15.325331Z digest=sha256:60646457aa99bd5bdba9bc5650101c3cf647c0b6c71ff239207d5f4e91ee2387

Observation 5ee10e85-794d-47ea-aa4a-f0f7330b5ae8 · inbound

Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems cites this paper.

Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 94

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no resolver link, observed 2026-08-07T14:31:35.764438Z

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source=pdf_text observed=2026-08-07T14:31:35.764438Z digest=sha256:6edc6e70f485ed8e70e04bafe81b8b7cb67c05d03ceb08d27f9a34ceabaf80db

Observation 68b0f6f3-f364-42db-9538-464e7e92c117 · inbound

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning cites this paper.

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 73

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source=arxiv_source observed=2026-08-07T14:26:34.651267Z digest=sha256:ce2930d95f090388cc13fd86566f01f558b935e7d09082baeedfd7668a7be337

Observation 7e8e2fb8-3024-4f03-9424-203a8b96e992 · inbound

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples cites this paper.

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 47

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source=pdf_text observed=2026-08-07T13:23:12.395474Z digest=sha256:af494f6689c8e10692701b6ec7a7949d900d8c3682c88b7d69c23a6e3edb4676

Observation 2ba86b55-4a04-4c7f-9c19-ca6530fab75e · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 66

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source=pdf_text observed=2026-08-07T10:54:49.900414Z digest=sha256:2876c2b5cea1bc50e37a330dc9971ea4e96af8e394aa669e6a0da51e9c1d1348

Observation e41102b3-7e8b-4492-9087-1297fb3fe7a9 · inbound

Graph Neural Networks in Modern AI-aided Drug Discovery cites this paper.

Graph Neural Networks in Modern AI-aided Drug Discovery GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 54

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source=pdf_text observed=2026-08-07T05:50:58.696383Z digest=sha256:543c6333f648fe0a37ed0b28eb87fa3e238b4a4e2000c43cd684cc0675cb804c

Observation f9140106-4d70-4047-acb7-47740d8813d4 · inbound

A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models cites this paper.

A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 20

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source=pdf_text observed=2026-08-07T14:52:17.425877Z digest=sha256:862223be9fea6a980482c3bd9c7f971e411e4cb496fb6fa5bb45edcbd70026bf

Observation 15c7324a-6289-47f2-be73-5048b08449db · inbound

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model cites this paper.

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 8

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Observation e153255e-81c8-498f-9d25-3cfff44364f7 · inbound

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models cites this paper.

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 72

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source=pdf_text observed=2026-08-06T22:52:51.013932Z digest=sha256:f2fcbcdb5b9863201b9aa47d73d0aa18bb96f553a1c36b6d4b36d769e2b7cc9a

Observation 27aa989c-9b2e-4f5f-a2cc-1dc915a3e21f · inbound

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials cites this paper.

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 17

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Observation f8e34da7-d517-425a-a6c2-26c578c863a0 · inbound

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation cites this paper.

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 24

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Observation 484e09aa-74b0-40c8-8fab-5da53996a30c · inbound

Geometric Generative Modeling with Noise-Conditioned Graph Networks cites this paper.

Geometric Generative Modeling with Noise-Conditioned Graph Networks GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 39

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Observation f56e1ba8-279a-4518-bfdc-923306e0ddfd · inbound

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow cites this paper.

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 59

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source=arxiv_source observed=2026-08-06T17:56:05.032553Z digest=sha256:7b9250345e785cb3d9b5a951746450002041ffe42b2f181996bd6fc645581409

Observation 5f8190b7-5a58-40ed-889d-c09b8367c422 · inbound

IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data cites this paper.

IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 53

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source=arxiv_source observed=2026-08-05T20:20:40.408432Z digest=sha256:2050f013ad78852243c9a19c9c8676db24fef341fbd18d034cc0f425afda2af7

Observation b65fc81d-88df-48db-ad5e-3f6e1fb37d00 · inbound

Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design cites this paper.

Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 58

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Observation 592bfc81-3075-4897-9b4b-360f894f2886 · inbound

Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior cites this paper.

Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 22

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Observation d2ce695c-229b-42ec-ae73-a545b2c49db2 · inbound

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction cites this paper.

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 122

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Observation 6a0f137b-83a2-4329-84ce-4a682fc310e8 · inbound

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cites this paper.

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 26

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arxiv_id, observed 2026-05-25T07:20:28.517131Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation eefb8599-14b0-4eeb-b44b-19d5bc741ec2 · inbound

MolDA: Molecular Understanding and Generation via Large Language Diffusion Model cites this paper.

MolDA: Molecular Understanding and Generation via Large Language Diffusion Model GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 19

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arxiv_id, observed 2026-05-10T21:55:49.557345Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1bd1388c-cefa-4b86-bf99-74c39c7e5038 · 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 GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 16

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arxiv_id, observed 2026-05-10T13:10:26.670563Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T13:07:20.749616Z digest=sha256:5fbbb750f97a902ce6b1a0acba11255004132db8f6d67c9f72e2808726c5a48d

Observation aecfd8dd-e9aa-4db0-aefd-b728c37bc6d4 · inbound

How Creative Are Large Language Models in Generating Molecules? cites this paper.

How Creative Are Large Language Models in Generating Molecules? GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 40

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arxiv_id, observed 2026-05-11T11:56:31.921469Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T04:23:20.161703Z digest=sha256:1da28289ebfe3c624d327315c2e8a1890c06fd267b34b4941abc532fd5eb7dd7

Observation 9587aa8f-d7bc-4cbb-9fa1-41a1080e12e8 · inbound

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network cites this paper.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 26

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verified exact
arxiv_id, observed 2026-05-11T20:31:14.210286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T08:39:12.310362Z digest=sha256:58bb157166ba9475af1af7b5251f23d5f9628899ecb1ad7d4f62d8430d4d30a4

Observation beaa13cf-7a74-484e-94ef-2c29c0e6ad74 · inbound

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics cites this paper.

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:16.478341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T17:00:45.976926Z digest=sha256:6947ba54c1f6b75ee11f17350b0eb6777b22d07f2e39b9cd2c106508094f38cb

Observation ace74706-7b1e-4f14-b926-4086eac3ed54 · inbound

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics cites this paper.

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:52:39.766835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T16:51:24.624301Z digest=sha256:34b938ee7e59e1808028add8f9fa1039a8b2efcf13967f0930ed84f4a136d57a

Observation e24f40b2-45c6-4fde-9201-9e68f5e071e6 · inbound

Interests Burn-down Diffusion Process for Personalized Collaborative Filtering cites this paper.

Interests Burn-down Diffusion Process for Personalized Collaborative Filtering GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:31:12.479663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T15:44:51.622612Z digest=sha256:86c94aefd974cbea7ea72316a63ede7490ec5b1ffeb095aa9b206a832592b821

Observation 2de7044d-28a9-4a52-947f-3c875cf41130 · inbound

SymDrift: One-Shot Generative Modeling under Symmetries cites this paper.

SymDrift: One-Shot Generative Modeling under Symmetries GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:51:06.431879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T13:50:43.451386Z digest=sha256:1062005e632b9a244ced836f48c23021c6aecd389b50627c4a5648bcbed74c73

Observation d6b4072d-f3b0-4c2d-9e31-d29af4b6fb73 · inbound

FlashMol: High-Quality Molecule Generation in as Few as Four Steps cites this paper.

FlashMol: High-Quality Molecule Generation in as Few as Four Steps GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:57.635103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T01:01:39.724352Z digest=sha256:e879c4d5e1b0282f316a7d8ac6e773db9d68987f1f252d2fe6defc062cdd7b1f

Observation 05096da6-2fdc-432a-b617-3b254f5d5f54 · inbound

Generative Modeling with Flux Matching cites this paper.

Generative Modeling with Flux Matching GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:52.163225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T01:28:59.133443Z digest=sha256:90030ffee03ad48ded7703dd926d8c12c09619e08b246560ca1b844ea7258867

Observation 0af2dbc2-9730-41fa-86b1-6eb5bf969833 · inbound

Toward Better Geometric Representations for Molecule Generative Models cites this paper.

Toward Better Geometric Representations for Molecule Generative Models GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:15:54.684937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T03:13:50.490077Z digest=sha256:1fca9afc806382b405b55bf789c88857ba4ce44f90cc52723fe1cd6511bb43ed

Observation ca20717a-6b7b-444c-9814-de69d3ddd3c2 · inbound

From Holo Pockets to Electron Density: GPT-style Drug Design with Density cites this paper.

From Holo Pockets to Electron Density: GPT-style Drug Design with Density GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:26:30.645511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-12T02:52:23.285611Z digest=sha256:44314bc1b110dbddd6d30d65ee1f0f91f899a3b6c238b4488180e97f307949b8

Observation 32cbde93-a0da-49bf-8dbf-767c915a481c · inbound

From Holo Pockets to Electron Density: GPT-style Drug Design with Density cites this paper.

From Holo Pockets to Electron Density: GPT-style Drug Design with Density GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:25:44.884832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T23:22:05.306390Z digest=sha256:a84cf91517585f67aaf39c6ef8d39a8164919816d544e8d2feaa82f5c625b86c

Observation 914f241f-cee6-4100-9088-53bbb07b875d · inbound

DiffATS: Diffusion in Aligned Tensor Space cites this paper.

DiffATS: Diffusion in Aligned Tensor Space GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:26.552250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T04:38:12.633086Z digest=sha256:68dab44dbf2ea24c11ea8be989ff911dbb1fea8b73c29b4bd432e45b788a28eb

Observation 59e4d5b7-5268-4c42-baf0-96e7a20f7a3b · inbound

On the Limits of Latent Reuse in Diffusion Models cites this paper.

On the Limits of Latent Reuse in Diffusion Models GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T18:39:22.064796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-14T18:38:49.566101Z digest=sha256:8bda99fa09774b85d34332811f43250bb969ae2f7901b69121a95fcd21accedd

Observation c650dda7-8e75-49a7-8650-488cb24b72c7 · inbound

Training-Free Generative Sampling via Moment-Matched Score Smoothing cites this paper.

Training-Free Generative Sampling via Moment-Matched Score Smoothing GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:33:32.470368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T02:31:15.134624Z digest=sha256:96db0ef0b9cd5c5308cbf23a9da3875404af9a18b08a8f86f305fe9c6ab588a9

Observation f024547e-9a36-46a7-a41b-c1d46e0df297 · inbound

World Models as Group Actions cites this paper.

World Models as Group Actions GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:24:40.265807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T13:17:42.720825Z digest=sha256:49020e70d66a8df6306f8cee53132d7b29c72b63d6a6a3665e85911ad7ea131b

Observation a98a3df6-49ca-46fb-9381-e45554389a98 · inbound

Latent Diffusion Pretraining for Crystal Property Prediction cites this paper.

Latent Diffusion Pretraining for Crystal Property Prediction GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:32:34.829056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T19:30:38.954152Z digest=sha256:c6b8560ad085f6dde74da9d58f3fd5b6008ab9f5d9e194c6fa64111e3cf544b3

Observation d228f0df-088e-4b9e-9d94-49e07f71c1ff · inbound

Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation cites this paper.

Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T00:56:25.158921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T13:04:32.492101Z digest=sha256:b9fc2ebad02772dd6ad1a50a09e77d7359bc706b533e915e01651f486860479c

Observation 78e11b98-7170-4db8-8153-bcf9dd413d2b · inbound

Adopting Reinforcement Learning with Verifiable Rewards for Molecular Generation cites this paper.

Adopting Reinforcement Learning with Verifiable Rewards for Molecular Generation GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T13:39:06.869526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:39:06.869526Z digest=sha256:e02537caeca15d91547248573fdf7d4e56b2f169260bdac4fedce654509a1d55

Observation 04503914-afa1-4025-a903-df41e24a3bb7 · inbound

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs cites this paper.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T09:47:34.777102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:47:34.777102Z digest=sha256:74499b3e467a334186bc13a9a42c35c56baa70370abc7185785b36e7fdac35b2