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Paper Citation Record · LEDGER

Equivariant message passing for the prediction of tensorial properties and molecular spectra

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2102.03150.

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

pith.paper-citation-record.v1
2102.03150 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:23.092158Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

268
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c48c6966-7312-4059-a273-ca378aaebebc · inbound

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems cites this paper.

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 46

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unresolved
no resolver link, observed 2026-08-07T13:13:23.092158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:23.092158Z digest=sha256:3eb565dd1d4796d3d99e3421766fe3c553b89f6ec2df1204e9a9ff9f670ed7ec

Observation ecc53b14-613a-4b9a-929d-db683f5f02ea · inbound

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations cites this paper.

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 21

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no resolver link, observed 2026-08-07T10:55:21.507874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:55:21.507874Z digest=sha256:1f2b932913c8fd6195fd1e3741eb8092093d9714b27e60a9f0054ad45ff9cc19

Observation 4aeaf94b-8ded-4893-a98d-209f14851f9f · inbound

Distillation of atomistic foundation models across architectures and chemical domains cites this paper.

Distillation of atomistic foundation models across architectures and chemical domains Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 102

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no resolver link, observed 2026-08-07T04:17:22.271600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:17:22.271600Z digest=sha256:23058487199ae10abbd530632552cccae4c7cf3f154a039360d153d717ef6b54

Observation 311bacd4-93c1-42a6-93a7-f30db4678acd · 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 Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 95

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unresolved
no resolver link, observed 2026-08-04T12:42:54.976314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:42:54.976314Z digest=sha256:9babad9468949baf12b6d23e189638910bcdb314bc818cd31e32357d36b036f7

Observation 62b4ffea-9063-4687-8d16-64d81a564563 · inbound

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing cites this paper.

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:02:31.462887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T10:01:16.498310Z digest=sha256:0f1fc1b74d7072e047d037cb8ebd0a21a9c497b1d5c8a77f0f95178875795427

Observation 34b9a76f-0d6a-44ce-9e8a-ab0e9aa74c1f · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 38

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unresolved
no resolver link, observed 2026-08-04T07:22:16.226466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:22:16.226466Z digest=sha256:8a909025667e77821ed5e855a25b0ffd432b65ddba579ff427c34c530658ed47

Observation 832e8a45-e843-4bd8-8f9d-9cbd907696b7 · inbound

TSAgent: An Agentic Workflow for Autonomous Transition State Search cites this paper.

TSAgent: An Agentic Workflow for Autonomous Transition State Search Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 21

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verified exact
arxiv_id, observed 2026-05-15T01:48:28.838689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:44:39.866627Z digest=sha256:fecf181d97967824c99908d5f43165b40a6efb03f17cb2f7b521d064056db66a

Observation 73a34146-b3e1-4bef-a1ce-b5ad9f3b5bac · inbound

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks cites this paper.

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 15

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verified exact
arxiv_id, observed 2026-05-15T03:09:43.938144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T03:05:14.435776Z digest=sha256:4fa1164e0ea7a765108e3f101265e462616f414ec5f6855ca35d505f09f43510

Observation 9ad04e92-42db-4c59-baf6-320b960ea390 · inbound

Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields cites this paper.

Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 50

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verified exact
arxiv_id, observed 2026-05-25T05:20:24.254217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T05:20:13.184992Z digest=sha256:64aeafeab98426476bf177d9cb96671f84417d04b54f6f39836564f6fe7dca39

Observation b3f2e8c3-58e0-4a8c-a34a-95f8f504773a · inbound

Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach cites this paper.

Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 12

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metadata mismatch
arxiv_id, observed 2026-07-01T21:06:13.651127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T17:30:28.329639Z digest=sha256:9c5d02ceed0a74fadd360d31a843d0591af0c43f7fc9c20323a6606c1506c5a3

Observation ad237cf3-07b2-41b8-baed-0e4ce998c75e · inbound

Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening cites this paper.

Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 16

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verified exact
arxiv_id, observed 2026-07-04T02:09:22.466020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a3d1f3a5-bbf4-4986-80eb-f28309d5c8c4 · inbound

mCGCNN: A Dual-Stream Crystal Graph Convolutional Neural Network for the Efficient Prediction of Magnetic Properties of Crystalline Materials cites this paper.

mCGCNN: A Dual-Stream Crystal Graph Convolutional Neural Network for the Efficient Prediction of Magnetic Properties of Crystalline Materials Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:48.881846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T01:23:15.759654Z digest=sha256:d9201a50a3105c688a983740a880e3bd8a8bcdc77a96b4976d4dce8ecb7ab8cc

Observation 90f0634d-810b-4c77-acb3-041b13f48890 · inbound

mCGCNN: A Dual-Stream Crystal Graph Convolutional Neural Network for the Efficient Prediction of Magnetic Properties of Crystalline Materials cites this paper.

mCGCNN: A Dual-Stream Crystal Graph Convolutional Neural Network for the Efficient Prediction of Magnetic Properties of Crystalline Materials Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T09:54:47.728966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1445eb79-8f86-49f5-8c7b-57652450d8e8 · inbound

High-order tensor neural network for iteration-free structure relaxation cites this paper.

High-order tensor neural network for iteration-free structure relaxation Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:15:48.025880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T04:02:34.815145Z digest=sha256:70ff2a12b2b08695ccb61f81639d5497fd1bfd9faa0f00521cf6faceafd2f37f

Observation af849a35-e423-46cb-9da9-29a0c164b2f8 · inbound

Accelerated descriptor-free path sampling for protein-ligand binding kinetics cites this paper.

Accelerated descriptor-free path sampling for protein-ligand binding kinetics Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 30

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unresolved
no resolver link, observed 2026-08-02T00:14:29.280068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:14:29.280068Z digest=sha256:e264014867f3fab7c60ea580d299949486b739579ba225964caa0ff37831fea0

Observation c2cb219e-1354-4be1-aefb-7d96438bce16 · inbound

ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density cites this paper.

ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T22:26:38.410943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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