Paper Citation Record · LEDGER

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.27467.

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

pith.paper-citation-record.v1
2606.27467 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T01:23:21.182553Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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unresolved38
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Outbound references

Observation c6b1a569-f9f7-4076-865f-ee2acbea60fa · outbound

This paper cites Use of clinical trial characteristics to estimate costs of new drug development.JAMA Network Open, 8(1):e2453275, 2025.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Use of clinical trial characteristics to estimate costs of new drug development.JAMA Network Open, 8(1):e2453275, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 1177367e-9c10-4d17-8800-70263ede37d3 · outbound

This paper cites Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches.Drug discovery today, 12(5-6):225–233, 2007.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches.Drug discovery today, 12(5-6):225–233, 2007

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 06aeefa3-1a46-4faf-94f6-cd963b617604 · outbound

This paper cites Molecular similarity in medicinal chemistry: miniperspective.Journal of medicinal chemistry, 57(8):3186–3204, 2014.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Molecular similarity in medicinal chemistry: miniperspective.Journal of medicinal chemistry, 57(8):3186–3204, 2014

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation f0e2a977-04c0-4f66-a659-2e45cdf12f14 · outbound

This paper cites Hit and lead generation: beyond high-throughput screening.Nature reviews Drug discovery, 2(5):369–378, 2003.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Hit and lead generation: beyond high-throughput screening.Nature reviews Drug discovery, 2(5):369–378, 2003

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation e3c86fc0-6802-488e-be8e-064171f3ca75 · outbound

This paper cites Computer-aided drug design: the next 20 years.Journal of computer-aided molecular design, 21(10):591–601, 2007.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Computer-aided drug design: the next 20 years.Journal of computer-aided molecular design, 21(10):591–601, 2007

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 0a43ad6c-94f9-46b9-8f86-eeba4b564f47 · outbound

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

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Inverse molecular design using machine learning: Genera- tive models for matter engineering.Science, 361(6400):360–365, 2018

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 57b86b88-9da8-46d4-940b-016aee74d5bd · outbound

This paper cites Automatic chemical design using a data-driven continuous representation of molecules.ACS central science, 4(2):268–276, 2018.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Automatic chemical design using a data-driven continuous representation of molecules.ACS central science, 4(2):268–276, 2018

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 48e6f892-effe-4d9f-b445-63f8f5c5d5c5 · outbound

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

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Junction tree variational autoencoder for molecular graph generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 2ffbaa46-440e-4765-a55c-bfda0defd1ca · outbound

This paper cites Limo: Latent inceptionism for targeted molecule generation.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Limo: Latent inceptionism for targeted molecule generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 72c256c2-cc63-498a-b270-c7ab5b274dfc · outbound

This paper cites Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:58.729143Z

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Observation 96040429-6722-419d-9e86-33deeedcaecb · outbound

This paper cites Zare, and Patrick Riley.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Zare, and Patrick Riley

Reference 11

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Observation 566b2dd4-9ef0-40c7-bbc1-c9a64a9b42b4 · outbound

This paper cites Graph convolutional policy network for goal-directed molecular graph generation.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Graph convolutional policy network for goal-directed molecular graph generation

Reference 12

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Observation 9756c433-c5ff-49f3-bd95-272bb127c762 · outbound

This paper cites an unresolved cited work.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Unresolved cited work

Reference 13

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Observation 36512821-cf93-4723-9b37-493da4142f89 · outbound

This paper cites cmolgpt: A conditional generative pre-trained transformer for target-specific de novo molecular generation.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics cmolgpt: A conditional generative pre-trained transformer for target-specific de novo molecular generation

Reference 14

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Observation 0f3e89b6-4156-4df0-98e4-5b6e86759e20 · outbound

This paper cites an unresolved cited work.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 0beef0aa-2e0b-42e7-bdde-2700193f0fc8 · outbound

This paper cites Yoshikai, T.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Yoshikai, T

Reference 16

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Observation abf0eec2-3385-479c-ac52-de7b3a489355 · outbound

This paper cites Self-referencing embedded strings (selfies): A 100Machine Learning: Science and Technology, 1(4):045024, October 2020.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Self-referencing embedded strings (selfies): A 100Machine Learning: Science and Technology, 1(4):045024, October 2020

Reference 17

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Observation ee4f1e4b-cc0b-4996-a17e-e154c6aa3323 · outbound

This paper cites JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:58.734143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eff4a58f-802f-4cc1-bdfe-55e101ca0471 · outbound

This paper cites Parallel tempered genetic algorithm guided by deep neural networks for inverse molecular design.Digital Discovery, 1(4):390–404, 2022.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Parallel tempered genetic algorithm guided by deep neural networks for inverse molecular design.Digital Discovery, 1(4):390–404, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 864a4845-0c0c-4320-8e29-74ecdf81d24e · outbound

This paper cites Optimized drug design using multi-objective evolutionary algorithms with selfies.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Optimized drug design using multi-objective evolutionary algorithms with selfies

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 6a35ea23-d3ce-4857-9cb5-f6ccdc81f089 · outbound

This paper cites Combining multi-objective evolutionary algorithms with deep generative models towards focused molecular design.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Combining multi-objective evolutionary algorithms with deep generative models towards focused molecular design

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation c4cc49cd-f933-4867-ade0-f29d801809cb · outbound

This paper cites Deep evolutionary learning for molecular design.IEEE Computational Intelligence Magazine, 17(2):14–28, 2022.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Deep evolutionary learning for molecular design.IEEE Computational Intelligence Magazine, 17(2):14–28, 2022

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 3ef8d516-7f5a-4f10-a25a-5ec28669a489 · outbound

This paper cites Multi-objective molecular design in constrained latent space.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Multi-objective molecular design in constrained latent space

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 8033bafb-f377-4ee8-b103-92d9e937bc62 · outbound

This paper cites Scaffold hopping.Drug discovery today: Technologies, 1(3):217–224, 2004.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Scaffold hopping.Drug discovery today: Technologies, 1(3):217–224, 2004

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 1b5826f8-6633-42ee-87fe-05a28e2b90c7 · outbound

This paper cites Structure-based molecular modeling in sar analysis and lead optimization.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Structure-based molecular modeling in sar analysis and lead optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 4844db8e-b0e8-4d11-946d-43e6efb32e4a · outbound

This paper cites Kosters, Joost N.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Kosters, Joost N

Reference 26

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Observation 99e1de39-0aea-42d7-98ca-e1e8bf4b2f32 · outbound

This paper cites FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:58.726699Z

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Observation 7ec41c6f-58a8-4885-a91c-1deda253a585 · outbound

This paper cites A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 62a7d737-0fde-4bb6-ac8e-26c41306c95f · outbound

This paper cites an unresolved cited work.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 1acdf9f8-a4ca-464c-9885-358928075a51 · outbound

This paper cites Beyond generative models: Superfast traversal, optimization, novelty, exploration and discovery (stoned) algorithm for molecules using selfies.Chemical Science, 12:7079–7090, 2021.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Beyond generative models: Superfast traversal, optimization, novelty, exploration and discovery (stoned) algorithm for molecules using selfies.Chemical Science, 12:7079–7090, 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation e9731f9c-7559-49ad-bfe3-ff11fa82f242 · outbound

This paper cites Guacamol: benchmarking models for de novo molecular design.Journal of chemical information and modeling, 59(3):1096–1108, 2019.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Guacamol: benchmarking models for de novo molecular design.Journal of chemical information and modeling, 59(3):1096–1108, 2019

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 4613d4f4-129f-4854-8a2c-0ffaa9e9d70b · outbound

This paper cites Test-time training scaling laws for chemical exploration in drug design.Journal of Chemical Information and Modeling, 65(24):13178–13186, 2025.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Test-time training scaling laws for chemical exploration in drug design.Journal of Chemical Information and Modeling, 65(24):13178–13186, 2025

Reference 32

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Observation 3128f2d0-184d-488d-9e78-e2e0576e2730 · outbound

This paper cites Molscore: a scoring, evaluation and benchmarking framework for generative models in de novo drug design.Journal of cheminformatics, 16(1):64, 2024.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Molscore: a scoring, evaluation and benchmarking framework for generative models in de novo drug design.Journal of cheminformatics, 16(1):64, 2024

Reference 33

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Observation 23f75b53-4a2a-439a-a5e0-270a0962eb26 · outbound

This paper cites Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:58.731577Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8ba9480-4f4b-47b6-aa3b-9807936e1d46 · outbound

This paper cites Directly optimizing for synthesizability in generative molecular design using retrosynthesis models.Chemical science, 16(16):6943–6956, 2025.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Directly optimizing for synthesizability in generative molecular design using retrosynthesis models.Chemical science, 16(16):6943–6956, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 5e1161e1-9061-4d16-936b-ac09df819fbd · outbound

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Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation b9db7f26-03bc-4674-9f49-aa4f63ea9c89 · outbound

This paper cites Irwin, Teague Sterling, Michael M.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Irwin, Teague Sterling, Michael M

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation a3a29af0-25fd-4ba3-b7ac-35a208f35940 · outbound

This paper cites Onc201-derived tetrahy- dropyridopyrimidindiones as powerful clpp protease activators to tackle diffuse midline glioma.Journal of medicinal chemistry, 68(5):5190–5210, 2025.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Onc201-derived tetrahy- dropyridopyrimidindiones as powerful clpp protease activators to tackle diffuse midline glioma.Journal of medicinal chemistry, 68(5):5190–5210, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation 774cbd84-6c21-497c-9d18-72340556fb58 · outbound

This paper cites The development of small-molecule modulators for clpp protease activity.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics The development of small-molecule modulators for clpp protease activity

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation b7d96d66-d03b-45a1-b30b-dd84ba5ec2d8 · outbound

This paper cites Genetic optimization of combinatorial libraries.Biotechnology and bioengineering, 61(1):47–54, 1998.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Genetic optimization of combinatorial libraries.Biotechnology and bioengineering, 61(1):47–54, 1998

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation be6457ef-306e-41b8-8367-6e00cc32e37b · outbound

This paper cites Distribution de la flore alpine dans le bassin des dranses et dans quelques régions voisines.Bull Soc Vaudoise Sci Nat, 37:241–272, 1901.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Distribution de la flore alpine dans le bassin des dranses et dans quelques régions voisines.Bull Soc Vaudoise Sci Nat, 37:241–272, 1901

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Observation b89e95bb-7b63-4365-95f2-1eaf5049a9cc · outbound

This paper cites Chemical similarity searching.Journal of chemical information and computer sciences, 38(6):983–996, 1998.

Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics Chemical similarity searching.Journal of chemical information and computer sciences, 38(6):983–996, 1998

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-29T01:23:21.182553Z

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Pith citing papers

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