Paper Citation Record · LEDGER

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2512.18454.

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

pith.paper-citation-record.v1
2512.18454 v3

Coverage vector

measured 42 of 42 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation ee84ba48-9619-46ad-8dc8-21bb06d1f278 · outbound

This paper cites A BASELINE FOR DETECTING MISCLASSIFIED AND OUT- OF-DISTRIBUTION EXAMPLES IN NEURAL NETWORKS,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs A BASELINE FOR DETECTING MISCLASSIFIED AND OUT- OF-DISTRIBUTION EXAMPLES IN NEURAL NETWORKS,

Reference 1

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Observation 48731616-d95b-4514-9403-7dcc61ca3858 · outbound

This paper cites Enhancing the reliability of out-of-distribution image detection in neural networks,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Enhancing the reliability of out-of-distribution image detection in neural networks,

Reference 2

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Observation 4e05c417-fe21-4f27-9eab-c606795e5f8e · outbound

This paper cites Energy-based out-of-distribution detection,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Energy-based out-of-distribution detection,

Reference 3

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This paper cites ReAct: Out-of-distribution detection with rectified activations,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs ReAct: Out-of-distribution detection with rectified activations,

Reference 4

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Observation 62d1c07b-a2d5-49d0-bbd6-7bedf4c09014 · outbound

This paper cites Variational autoencoder based anomaly detection using reconstruction prob- ability,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Variational autoencoder based anomaly detection using reconstruction prob- ability,

Reference 5

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Observation 99226acc-545c-4dcb-9344-110c54353484 · outbound

This paper cites Generalized out-of-distribution detection: A survey,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Generalized out-of-distribution detection: A survey,

Reference 6

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Observation fe291818-488a-4fd8-b47e-dcb543a89c8e · outbound

This paper cites Out-of-distribution de- tection with memory-augmented variational autoencoder,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Out-of-distribution de- tection with memory-augmented variational autoencoder,

Reference 7

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This paper cites Improving re- construction autoencoder out-of-distribution detection with mahalanobis distance,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Improving re- construction autoencoder out-of-distribution detection with mahalanobis distance,

Reference 8

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This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Deep autoencoding gaussian mixture model for unsupervised anomaly detection,

Reference 9

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Observation 3b43ef2d-fae0-40b9-8c33-881f85126451 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Score-based generative modeling through stochastic differential equations,

Reference 10

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Observation bab6c54c-d1e9-4edb-832c-54dc8971a3e3 · outbound

This paper cites Likelihood-based out-of-distribution detection with denoising diffusion probabilistic models,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Likelihood-based out-of-distribution detection with denoising diffusion probabilistic models,

Reference 11

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Observation e0071698-6c82-4dd5-b089-b5a8b4d44c07 · outbound

This paper cites Do deep genera- tive models know what they don’t know?,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Do deep genera- tive models know what they don’t know?,

Reference 12

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This paper cites Input complexity and out-of-distribution detection with likelihood-based generative models,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Input complexity and out-of-distribution detection with likelihood-based generative models,

Reference 13

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Observation caabf482-0511-472f-baed-dc638d554445 · outbound

This paper cites Why normalizing flows fail to detect out-of- distribution data,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Why normalizing flows fail to detect out-of- distribution data,

Reference 14

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This paper cites Out-of-distribution detection with a single unconditional dif- fusion model,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Out-of-distribution detection with a single unconditional dif- fusion model,

Reference 15

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Observation dbec6539-eb63-4dc6-8bff-5edc909cf0d9 · outbound

This paper cites Energy-based out-of-distribution detection for graph neural networks,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Energy-based out-of-distribution detection for graph neural networks,

Reference 16

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Observation e54b9bcb-f18c-493c-b424-3d07ca2bd343 · outbound

This paper cites Deep graph-level anomaly detection by glocal knowledge distillation,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Deep graph-level anomaly detection by glocal knowledge distillation,

Reference 17

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Observation c1b75131-6e88-4fa0-8537-fc7cb3244a42 · outbound

This paper cites GraphDE: A generative framework for debiased learning and out-of-distribution detection on graphs,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs GraphDE: A generative framework for debiased learning and out-of-distribution detection on graphs,

Reference 18

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Observation 8b7c1a4d-6395-4415-88c2-3be1a297afe4 · outbound

This paper cites Optimizing OOD detection in molecular graphs: A novel approach with diffusion models,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Optimizing OOD detection in molecular graphs: A novel approach with diffusion models,

Reference 19

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Observation c138a700-4f2a-40d5-9ccb-55c2fb93f72f · outbound

This paper cites The PDBbind database: Collection of binding affinities for protein-ligand complexes with known three-dimensional structures,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs The PDBbind database: Collection of binding affinities for protein-ligand complexes with known three-dimensional structures,

Reference 20

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This paper cites PDB-wide collection of binding data: current status of the PDBbind database,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs PDB-wide collection of binding data: current status of the PDBbind database,

Reference 21

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This paper cites Gen- eralization beyond benchmarks: Evaluating learnable protein-ligand scoring functions on unseen targets,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Gen- eralization beyond benchmarks: Evaluating learnable protein-ligand scoring functions on unseen targets,

Reference 22

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Observation 6d015cb5-371c-4644-807e-c6bf7dfc770c · outbound

This paper cites Resolving data bias improves generalization in binding affinity prediction,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Resolving data bias improves generalization in binding affinity prediction,

Reference 23

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Observation 1e26a324-0a54-4902-925a-d8c0ecfb0e3f · outbound

This paper cites TM-align: a protein structure alignment algorithm based on the TM-score,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs TM-align: a protein structure alignment algorithm based on the TM-score,

Reference 24

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This paper cites Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations?,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations?,

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This paper cites Rate-in: Information-driven adaptive dropout rates for improved inference-time uncertainty estimation,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Rate-in: Information-driven adaptive dropout rates for improved inference-time uncertainty estimation,

Reference 26

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Structure-based drug design with equivariant diffusion models,

Reference 27

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs 3d equivariant diffusion for target- aware molecule generation and affinity prediction,

Reference 28

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Three- dimensional convolutional neural networks and a cross-docked data set for structure-based drug design,

Reference 29

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This paper cites PLINDER: The protein-ligand interactions dataset and evaluation resource,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs PLINDER: The protein-ligand interactions dataset and evaluation resource,

Reference 30

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This paper cites Comparative assessment of scoring functions: The CASF-2016 update,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Comparative assessment of scoring functions: The CASF-2016 update,

Reference 31

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Elucidating the design space of diffusion-based generative models,

Reference 32

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Con- tinuous diffusion for categorical data,

Reference 33

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Evolutionary-scale pre- diction of atomic level protein structure with a language model,

Reference 34

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Ankh: Optimized protein language model unlocks general-purpose modelling,

Reference 35

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This paper cites ChemBERTa-2: Towards chemical foundation models,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs ChemBERTa-2: Towards chemical foundation models,

Reference 36

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This paper cites Dropout as a bayesian approximation: Representing model uncer- tainty in deep learning,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Dropout as a bayesian approximation: Representing model uncer- tainty in deep learning,

Reference 37

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Likelihood ratios for out-of-distribution detection,

Reference 38

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Revisiting likelihood-based out-of-distribution detection by modeling representations,

Reference 39

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This paper cites Enhanced graph autoencoder for graph anomaly detection using subgraph information,.

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Enhanced graph autoencoder for graph anomaly detection using subgraph information,

Reference 40

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs Equivariant diffusion for molecule generation in 3d,

Reference 41

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Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs typicality

Reference 42

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Pith citing papers

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