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Paper Citation Record · LEDGER

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity

As of 23 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2504.19040.

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

pith.paper-citation-record.v1
2504.19040 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:08:15.320991Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1860cf22-a323-4acc-a469-a4def3086a94 · outbound

This paper cites High Throughput Screening: A Comprehen- sive Review of Technologies and Applications.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity High Throughput Screening: A Comprehen- sive Review of Technologies and Applications

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bbffe7a8-f3b8-4b64-8e22-42f944b6e6e6 · outbound

This paper cites Yang, Jing Lu, and Yee Sin Ang.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Yang, Jing Lu, and Yee Sin Ang

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation d4a7b79a-bcc2-49e8-bd92-50fa9c28a2fc · outbound

This paper cites J Comput Aided Mol Des 27(8):675–679.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity J Comput Aided Mol Des 27(8):675–679

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 0e7a3dbe-c9a2-4df3-888e-3c2be9601328 · outbound

This paper cites Nat Chem 8(6):531.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Nat Chem 8(6):531

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 87e7b741-af37-48c7-acba-d19e84e69d30 · outbound

This paper cites ”Automatic chemical design using a data-driven continuous representation of molecules.” ACS central science 4.2 (2018): 268-276.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity ”Automatic chemical design using a data-driven continuous representation of molecules.” ACS central science 4.2 (2018): 268-276

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c86d6044-97b7-47b2-9f8c-4d5dd64ff7d3 · outbound

This paper cites MolGAN: An implicit generative model for small molecular graphs.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity MolGAN: An implicit generative model for small molecular graphs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T10:08:15.082772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c0d29aa-d255-43e7-853f-1f61a1d3e304 · outbound

This paper cites REINVENT 2.0: An AI Tool for De Novo Drug Design.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity REINVENT 2.0: An AI Tool for De Novo Drug Design

Reference 7

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation beb1c75a-3c56-4a8e-a823-d3d51672506d · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 408ff923-7216-42fb-97bb-635d6ac516c7 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e1fa084b-a100-4115-bb80-b4533cd739a0 · outbound

This paper cites Smiles-bert: large scale unsupervised pre-training for molecular property prediction.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Smiles-bert: large scale unsupervised pre-training for molecular property prediction

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 36d38dc5-54f6-426f-b84a-be8ad0de53e2 · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 75fdf966-5d2b-4941-99be-fcbeed1e8c7c · outbound

This paper cites Large scale chemical language representations capture molecular structure and properties.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Large scale chemical language representations capture molecular structure and properties

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b2bfc33b-ac42-4416-a5c3-599edf04f8a5 · outbound

This paper cites Knowledge-based BERT: a method to extract molecular features like computational chemists.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Knowledge-based BERT: a method to extract molecular features like computational chemists

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f731d6b1-930b-4bbf-8107-48dfc0e1205c · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 15

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 64f561e0-da65-40ab-8b8b-e7133b11cd43 · outbound

This paper cites & Hamaekers, J.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity & Hamaekers, J

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 798b5b9f-a87d-4978-a208-141cf2201020 · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 17

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ddb647f6-eef6-4575-9312-b6e01004dde1 · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 08511c6d-c5a5-4133-8817-f9c6b00223ab · outbound

This paper cites ”Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction.” International Journal of Molecular Sciences, vol.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity ”Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction.” International Journal of Molecular Sciences, vol

Reference 19

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 400156c7-c403-4cce-a64b-54eaa47f9328 · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66e95117-7581-4ddf-b9bc-2ba215b60b6c · outbound

This paper cites Correction: Reconstruction of lossless molecular representations from fingerprints.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Correction: Reconstruction of lossless molecular representations from fingerprints

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1b25502c-dd99-498a-8095-91966e791076 · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 69815951-5ec8-4472-8b44-6531a5376da0 · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9dcd121a-ba15-4168-a7a6-cda3bfc2cad1 · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 05ea0ad7-cdab-42bc-8b68-438ca4186dcd · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation db7bded1-5e0f-471d-8c80-2e06b4b465c8 · outbound

This paper cites ZINC–a free database of commer- cially available compounds for virtual screening.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity ZINC–a free database of commer- cially available compounds for virtual screening

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fceb35a1-0c87-40ba-86fb-6520b69ffe2e · outbound

This paper cites an unresolved cited work.

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity Unresolved cited work

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1318efd5-690d-4ce0-a6a3-71f049557475 · outbound

This paper cites In Proceedings of the 31st In- ternational Conference on Neural Information Processing Systems (NIPS’17).

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity In Proceedings of the 31st In- ternational Conference on Neural Information Processing Systems (NIPS’17)

Reference 2017

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.