Paper Citation Record · LEDGER

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation

As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.15309.

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

pith.paper-citation-record.v1
2506.15309 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:45:23.577224Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

14 of 14 outbound references displayed

verified exact5
verified fuzzy1
unresolved4
parse uncertain0
malformed identifier3
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d43b67fa-283d-4f04-86da-24ba409f9139 · outbound

This paper cites scikit learn.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation scikit learn

Reference 11

Resolution: verified exact; doi, observed 2026-08-15T19:45:23.615636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2247a45c-815a-480b-b514-0239f92c5ac1 · outbound

This paper cites Target structures were preprocessed by removing water molecules, ligands, and ions.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation Target structures were preprocessed by removing water molecules, ligands, and ions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:45:23.994274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa36ddea-5242-4ffa-b673-6cb85a75c3b5 · outbound

This paper cites Then we hierarchically clustered this matrix using Seaborn (Waskom et al., 2017).

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation Then we hierarchically clustered this matrix using Seaborn (Waskom et al., 2017)

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:45:23.972056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dfe512e8-eed9-4602-b512-72b5d6165b47 · outbound

This paper cites doi: 10.1021/jm030644s.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation doi: 10.1021/jm030644s

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-15T19:45:23.528984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8189052-7272-4ecf-8fcc-6ad0c5346f3a · outbound

This paper cites doi: 10.1002/cmdc.200700139.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation doi: 10.1002/cmdc.200700139

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-15T19:45:23.505793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8d95b6-82eb-44e1-a42c-7eca9bba3ead · outbound

This paper cites doi: 10.1021/ci800324m.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation doi: 10.1021/ci800324m

Reference 2009

Resolution: verified exact; doi, observed 2026-08-15T19:45:23.667052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1f642cb-ac2f-4d1f-9961-d23d3843e9a0 · outbound

This paper cites doi: 10.1021/jm901070c.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation doi: 10.1021/jm901070c

Reference 2010

Resolution: verified exact; doi, observed 2026-08-15T19:45:23.634891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79c8491d-7dc4-4d14-a6d9-3bcbdbd20897 · outbound

This paper cites doi: 10.1039/C4OB02287D.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation doi: 10.1039/C4OB02287D

Reference 2014

Resolution: verified exact; doi, observed 2026-08-15T19:45:23.685588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7560871-4832-41bf-9f3b-46dd02d2fc30 · outbound

This paper cites A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T19:45:23.566182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8b04e2-dc91-493e-954e-03fdab5db1e0 · outbound

This paper cites Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function

Reference 2019

Resolution: malformed identifier; no resolver link, observed 2026-08-15T19:45:23.555880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1c82ed-03c6-4de2-933d-03ac8eb1c2a6 · outbound

This paper cites an unresolved cited work.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation Unresolved cited work

Reference 2024

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:45:24.016640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a574388e-f879-4ecc-8e49-1bd433df062a · outbound

This paper cites doi: 10.1093/nar/gkae1059.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation doi: 10.1093/nar/gkae1059

Reference 2025

Resolution: verified exact; raw_fallback, observed 2026-08-15T19:45:23.857321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 649f5c48-6a4b-446f-8b4e-b4912f0b51aa · outbound

This paper cites Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks

Reference 2946

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:45:23.883006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0bb2bd42-a135-43c2-822f-08255b8b1465 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 4951

Resolution: unresolved; no resolver link, observed 2026-08-15T19:45:23.545296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.