Paper Citation Record · LEDGER

How Molecular Generative Models Organize Molecular Identity

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.06956.

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

pith.paper-citation-record.v1
2608.06956 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:44:18.361456Z

measured 34 of 34 standing notices

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 760c2199-4e31-4bea-ac05-318b633385e6 · outbound

This paper cites SMILES, a chemical language and information system.

How Molecular Generative Models Organize Molecular Identity SMILES, a chemical language and information system

Reference 1

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Observation db385760-23ed-489e-92a3-1171231cb200 · outbound

This paper cites Weininger.

How Molecular Generative Models Organize Molecular Identity Weininger

Reference 2

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Observation 3d0ac173-e042-43b3-b7d5-52024b14dd1e · outbound

This paper cites Heller, Alan McNaught, Igor Pletnev, Stephen Stein, and Dmitrii Tchekhovskoi.

How Molecular Generative Models Organize Molecular Identity Heller, Alan McNaught, Igor Pletnev, Stephen Stein, and Dmitrii Tchekhovskoi

Reference 3

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Observation 9faec89d-78d0-4449-a71a-2d79b434a997 · outbound

This paper cites Wei, David Duvenaud, Jos ´e Miguel Hern ´andez-Lobato, Benjam´ın S´anchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D.

How Molecular Generative Models Organize Molecular Identity Wei, David Duvenaud, Jos ´e Miguel Hern ´andez-Lobato, Benjam´ın S´anchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D

Reference 4

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Observation d0ed06b4-99d3-4fcd-9ae6-73494bcb6891 · outbound

This paper cites Inverse molecular design using machine learning: Generative models for matter engineering.Science, 361(6400):360–365, 2018.

How Molecular Generative Models Organize Molecular Identity Inverse molecular design using machine learning: Generative models for matter engineering.Science, 361(6400):360–365, 2018

Reference 5

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Observation 36a73016-8a9a-48e5-b9f5-629dea942553 · outbound

This paper cites Characterizing the latent space of molecular deep generative models with persistent homology metrics.

How Molecular Generative Models Organize Molecular Identity Characterizing the latent space of molecular deep generative models with persistent homology metrics

Reference 6

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Source-reported events for the cited work

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Observation 8673dc53-4f0e-4984-bf52-54d9e7a196d0 · outbound

This paper cites Junction tree variational autoencoder for molecular graph generation.

How Molecular Generative Models Organize Molecular Identity Junction tree variational autoencoder for molecular graph generation

Reference 7

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Observation 217e5f35-7642-4c67-a988-f318380cdb3a · outbound

This paper cites SALSA: Semantically- aware latent space autoencoder.

How Molecular Generative Models Organize Molecular Identity SALSA: Semantically- aware latent space autoencoder

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:44:19.393269Z

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Observation 27e7d1c1-9b26-422c-8ec1-0ba5d6ba31f4 · outbound

This paper cites On convex decision regions in deep net- work representations.Nature Communications, 16(1):5419, 2025.

How Molecular Generative Models Organize Molecular Identity On convex decision regions in deep net- work representations.Nature Communications, 16(1):5419, 2025

Reference 9

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Observation 5643a6f3-1077-4b90-8aef-4d6d5c3939ad · outbound

This paper cites The MIT Press, 03 2000.

How Molecular Generative Models Organize Molecular Identity The MIT Press, 03 2000

Reference 10

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Observation beb82adf-9e8b-4aa7-983f-cf485730dcfd · outbound

This paper cites MolMiner: Toward controllable, three-dimensional-aware, fragment-based molecular design.Advanced Intelligent Discovery, page e70138, 2026.

How Molecular Generative Models Organize Molecular Identity MolMiner: Toward controllable, three-dimensional-aware, fragment-based molecular design.Advanced Intelligent Discovery, page e70138, 2026

Reference 11

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Source-reported events for the cited work

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Observation 9d97fb9e-4a6c-480e-be64-b124d7261179 · outbound

This paper cites Hierarchical generation of molecular graphs using structural motifs.

How Molecular Generative Models Organize Molecular Identity Hierarchical generation of molecular graphs using structural motifs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:44:19.374504Z

Source-reported events for the cited work

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Observation 6cc5fae7-08a8-48e2-8466-fadf95bedffd · outbound

This paper cites Score-based generative modeling of graphs via the system of stochastic differential equations.

How Molecular Generative Models Organize Molecular Identity Score-based generative modeling of graphs via the system of stochastic differential equations

Reference 13

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Observation c123ab6d-6691-48e0-9667-e99353d79a99 · outbound

This paper cites Bemis and Mark A.

How Molecular Generative Models Organize Molecular Identity Bemis and Mark A

Reference 14

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Observation dbe3c34d-c1f9-4af3-bb1f-e0d4a50eb3d1 · outbound

This paper cites Latent space oddity: on the curvature of deep generative models.

How Molecular Generative Models Organize Molecular Identity Latent space oddity: on the curvature of deep generative models

Reference 15

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Observation 041ad6ae-560e-4a57-8303-0d04e00b768a · outbound

This paper cites On the number of linear re- gions of deep neural networks.

How Molecular Generative Models Organize Molecular Identity On the number of linear re- gions of deep neural networks

Reference 16

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Observation 0896850f-1135-47bf-845e-c6c7cc80f851 · outbound

This paper cites A spline theory of deep learning.

How Molecular Generative Models Organize Molecular Identity A spline theory of deep learning

Reference 17

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Observation bdec4724-3383-4ee1-95b4-66cfcbecf7ae · outbound

This paper cites Kingma and Max Welling.

How Molecular Generative Models Organize Molecular Identity Kingma and Max Welling

Reference 18

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Observation 3ce31ec4-9eab-4e2a-9f83-e61994409d8a · outbound

This paper cites Irwin, Teague Sterling, Michael M.

How Molecular Generative Models Organize Molecular Identity Irwin, Teague Sterling, Michael M

Reference 19

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Observation bb23dc87-88b7-42d0-a423-968bd15f99ed · outbound

This paper cites Wildman and Gordon M.

How Molecular Generative Models Organize Molecular Identity Wildman and Gordon M

Reference 20

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Observation bc2c975b-87db-4c9e-a402-65a8da02e7c7 · outbound

This paper cites Richard Bickerton, Gaia V.

How Molecular Generative Models Organize Molecular Identity Richard Bickerton, Gaia V

Reference 21

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Observation 65cdaee9-5efc-48a6-8670-d4a5dfd78db2 · outbound

This paper cites On decompositional algorithms for uniform sampling from n-spheres and n-balls.Journal of Multivariate Analysis, 101(10):2297–2304, 2010.

How Molecular Generative Models Organize Molecular Identity On decompositional algorithms for uniform sampling from n-spheres and n-balls.Journal of Multivariate Analysis, 101(10):2297–2304, 2010

Reference 22

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Observation b0cdc4a7-e039-4f6b-9f86-9cee21cdecc2 · outbound

This paper cites ´Etude comparative de la distribution florale dans une portion des Alpes et du Jura.

How Molecular Generative Models Organize Molecular Identity ´Etude comparative de la distribution florale dans une portion des Alpes et du Jura

Reference 23

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Observation 63cc12d6-c805-49f7-96eb-55e9df5c3133 · outbound

This paper cites Tanimoto.An Elementary Mathematical Theory of Classification and Prediction.

How Molecular Generative Models Organize Molecular Identity Tanimoto.An Elementary Mathematical Theory of Classification and Prediction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:44:19.218692Z

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Observation eb4594b6-bdc2-4d21-a062-af9e2ea301b2 · outbound

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How Molecular Generative Models Organize Molecular Identity Unresolved cited work

Reference 25

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Observation d8439a53-48dd-487d-bc81-5b464fc8d93a · outbound

This paper cites Extended-connectivity fingerprints.Journal of Chemical Information and Modeling, 50(5):742–754, 2010.

How Molecular Generative Models Organize Molecular Identity Extended-connectivity fingerprints.Journal of Chemical Information and Modeling, 50(5):742–754, 2010

Reference 26

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Observation b8667c7f-94ed-4a3d-9423-86cd5ab2da8f · outbound

This paper cites Durant, Burton A.

How Molecular Generative Models Organize Molecular Identity Durant, Burton A

Reference 27

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Observation c27dfe3f-70e6-4e3f-b06d-9ccf6488a521 · outbound

This paper cites Latent generative landscapes as maps of functional diversity in protein sequence space.Nature Communications, 14(1):2222, Apr.

How Molecular Generative Models Organize Molecular Identity Latent generative landscapes as maps of functional diversity in protein sequence space.Nature Communications, 14(1):2222, Apr

Reference 28

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Observation 25914da1-8b2c-4de0-b78b-3e23069a23c6 · outbound

This paper cites Resolving the data ambiguity for periodic crystals.

How Molecular Generative Models Organize Molecular Identity Resolving the data ambiguity for periodic crystals

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:44:19.184549Z

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Observation 15bc1eaa-01e5-4d37-baaa-ef9d46f68b37 · outbound

This paper cites Pointwise distance distributions for detecting near-duplicates in large materials databases, 2021.

How Molecular Generative Models Organize Molecular Identity Pointwise distance distributions for detecting near-duplicates in large materials databases, 2021

Reference 30

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This paper cites Anosova, Daniel E.

How Molecular Generative Models Organize Molecular Identity Anosova, Daniel E

Reference 31

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This paper cites The importance of definitions in crystallography.

How Molecular Generative Models Organize Molecular Identity The importance of definitions in crystallography

Reference 32

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This paper cites URLhttps://doi.org/10.1021/ci3001277.

How Molecular Generative Models Organize Molecular Identity URLhttps://doi.org/10.1021/ci3001277

Reference 2012

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Observation 9bac6ed8-bd7d-49a9-94c4-425b930b3ec9 · outbound

This paper cites doi: 10.1038/s41467-023-37958-z.

How Molecular Generative Models Organize Molecular Identity doi: 10.1038/s41467-023-37958-z

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T17:44:18.343438Z

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Pith citing papers

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