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Paper Citation Record · LEDGER

GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 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

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 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 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:17.425877Z

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 2026-08-07T06:34:17.273281+00:00.

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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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:35.764438Z digest=sha256:1e46f3f584dfc8694723c89ede98e7d6c857c518cea980bd91811d1e709264fc

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:beff99cba624dd2fb843c1a5d02c08313e93de989b08e84ecdd7f29e5a22aa85

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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no resolver link, observed 2026-08-07T13:23:12.395474Z

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source=pdf_text observed=2026-08-07T13:23:12.395474Z digest=sha256:bec0eb712cf952fd25222c6111b213247464ba296e5ba25bfb542eb1c9762d80

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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no resolver link, observed 2026-08-07T10:54:49.900414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:49.900414Z digest=sha256:1c5daebc4e83e345e3ffd8d5e95970e1d88e3bb5911b9af34e65ba0c15432967

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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no resolver link, observed 2026-08-07T05:50:58.696383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:58.696383Z digest=sha256:68ddf87d5ecf2168a340bc66deca8aa57703755b08d6e39a61fe24a97dcf0aca

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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no resolver link, observed 2026-08-07T14:52:17.425877Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:17.425877Z digest=sha256:c1d1ebe122c77a75ed5caeb451a93b62a075eb774b965e92d604e12bf237b8d8

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:32.655110Z digest=sha256:a6b145edd44ffef576807f45fecefee5ba580b2a48fe34b9aa16aa2a713de481

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:51.013932Z digest=sha256:0c93d7c595dd1c2db5348bc0a36eb56ae5349fcd98fed848f79bfc009d746691

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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no resolver link, observed 2026-08-06T21:57:41.990637Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:57:41.990637Z digest=sha256:7ce4adba9f4e8fee9383b20805e2b68c1d4033dc17aa706ef622bfecbe34983e

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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no resolver link, observed 2026-08-06T18:52:31.181088Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:31.181088Z digest=sha256:13af5d10193e44f33a557cc39c702aca54e25f02fea365abca18232af25a7c2e

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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no resolver link, observed 2026-08-06T18:08:50.316799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:08:50.316799Z digest=sha256:d6c4928d4fc109f5deaf9c9ae1211d44337354bf48a9701b2449a5d38efd1c7f

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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no resolver link, observed 2026-08-06T17:56:05.032553Z

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source=arxiv_source observed=2026-08-06T17:56:05.032553Z digest=sha256:8ebe130e357180b2733dc35f03f7c21e6207fa2211f125a732272b998b23162e

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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no resolver link, observed 2026-08-05T20:20:40.408432Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:20:40.408432Z digest=sha256:391dfed10a965e2d05673821811601a8f9e768c6923498798c1b48aaf30eba32

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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unresolved
no resolver link, observed 2026-08-05T13:24:33.669122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:24:33.669122Z digest=sha256:b5dbb2efb6f02cbacb3928bcbdf8b2c25e7831833df74924b06555fe5de3739e

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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no resolver link, observed 2026-08-05T12:35:07.056691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-04T12:42:58.172370Z

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Unavailable: canonical work link unavailable.

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

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 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

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 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

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 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

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

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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 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

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

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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 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

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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 2026-08-07T06:34:17.273281+00:00.

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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

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

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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 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

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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 2026-08-07T06:34:17.273281+00:00.

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:01:39.724352Z digest=sha256:44fcce727d135dc7845bb983ddf8c2e1ebbab9b1150fb7f56e743be031666bac

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

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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 2026-08-07T06:34:17.273281+00:00.

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T03:13:50.490077Z digest=sha256:5cd5af29b641287e08ccc6df1e704bb5fa8ac93b3eb8be20d685714cd39ebe91

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T02:52:23.285611Z digest=sha256:0bff349a56070d082753e8fddaa9b3393a1188a835e21230547ab40c69eeae4d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T23:22:05.306390Z digest=sha256:503974889c7ad90e0b044fe9fc14750bab2cfd643ed28576a76c852ebfec7dbb

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:38:12.633086Z digest=sha256:98ebdade25f61afe34cc79053ee10d4255a79ea526682560bd204c9cc4006264

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T18:38:49.566101Z digest=sha256:919b6bfe89292bf207a8bc8bfad0101eb6acd9a6e8e5e818237623d4c5477cb2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:31:15.134624Z digest=sha256:c6a0282b4997b94f9101c7a92567a2fab2e1e824a09b6b526b616b0246734742

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T13:17:42.720825Z digest=sha256:45aa75dbd0c41122de8d3458feaa6a6c9797ce450c20139f0669575f6a3b044a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T19:30:38.954152Z digest=sha256:ef8cf16a544d3526409cc3dde9b7a2fa1b9a88cfc00d0d603544e36965facf37

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T13:04:32.492101Z digest=sha256:f2c01bc369ddf29b191c14526cdafe5dcb7c8550888f548a4dc1af22b9b10dac

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:da88392bc3f541ea4f8ed4a91d54cace0db977c41b7ea52fb835c274ae8c04d0

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

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source=pdf_text observed=2026-08-02T09:47:34.777102Z digest=sha256:64e938ffd037288ef2a075cb9f65bf247e041465ed743dd0d76675a3d25983e0