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Paper Citation Record · LEDGER

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization

As of 14 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2411.15183.

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

pith.paper-citation-record.v1
2411.15183 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:55:25.774090Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

59 of 59 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8570cecc-654a-4d32-9cc1-ca5406351d55 · outbound

This paper cites Structural optimization of drugs: Design strategies and empirical rules.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Structural optimization of drugs: Design strategies and empirical rules

Reference 1

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Observation a038d914-f9ee-4598-92b0-2d35526ac92d · outbound

This paper cites Applications of machine learning in drug discovery and development.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Applications of machine learning in drug discovery and development

Reference 2

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Observation ff61f17d-f631-4b07-b37a-e719b9be0d38 · outbound

This paper cites Beyond genera- tive models: superfast traversal, optimization, novelty, exploration and discovery (STONED) algorithm for molecules using SELFIES.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Beyond genera- tive models: superfast traversal, optimization, novelty, exploration and discovery (STONED) algorithm for molecules using SELFIES

Reference 3

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Observation b97d8649-b525-405c-b3bc-4a4707f3b8e1 · outbound

This paper cites Computer-aided multi-objective optimization in small molecule discovery.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Computer-aided multi-objective optimization in small molecule discovery

Reference 4

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Observation c9d65da3-5db0-4568-90e0-fa81a2ad83cc · outbound

This paper cites Simultaneously optimizing multiple properties of β-glucosidase Bgl6 using combined (semi-) rational design strategies and investigation of the underlying mechanisms.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Simultaneously optimizing multiple properties of β-glucosidase Bgl6 using combined (semi-) rational design strategies and investigation of the underlying mechanisms

Reference 5

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Observation a57e8e23-16e3-419b-86e3-7cb75acfd8f4 · outbound

This paper cites Docking-based Multi-objective Molecular optimization Pipeline using Structure-constrained Genetic Algorithm.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Docking-based Multi-objective Molecular optimization Pipeline using Structure-constrained Genetic Algorithm

Reference 6

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Source-reported events for the cited work

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Observation c1f56caf-cc51-4305-807e-3a350719686c · outbound

This paper cites Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning

Reference 7

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Source-reported events for the cited work

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Observation 2ccf3198-f20b-4d3c-aba2-54a049e9578a · outbound

This paper cites Deep learning enables rapid identification of potent DDR1 kinase inhibitors.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Deep learning enables rapid identification of potent DDR1 kinase inhibitors

Reference 8

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Source-reported events for the cited work

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Observation 2057ca41-2fb2-4ef8-855a-e66a961233e9 · outbound

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

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Junction tree variational autoencoder for molecular graph generation

Reference 9

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Source-reported events for the cited work

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Observation 83befc10-4f74-4ac5-af64-285fedf18037 · outbound

This paper cites Constrained graph variational autoen- coders for molecule design.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Constrained graph variational autoen- coders for molecule design

Reference 10

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Observation c30d8d10-2e65-47f0-8b76-d07bf6bc0943 · outbound

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

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Limo: Latent inceptionism for targeted molecule generation

Reference 11

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Observation 96436698-372f-439b-bf6f-34e2f6abf9cb · outbound

This paper cites Computational approaches streamlining drug discovery.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Computational approaches streamlining drug discovery

Reference 12

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Observation ce24b7ed-204a-4151-af81-95ef41028d6d · outbound

This paper cites Artificial intelligence in drug discovery and development.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Artificial intelligence in drug discovery and development

Reference 13

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Source-reported events for the cited work

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Observation 4c0a0189-fb1a-417f-be7f-4e9fc349356f · outbound

This paper cites Chemistry42: an AI-driven platform for molec- ular design and optimization.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Chemistry42: an AI-driven platform for molec- ular design and optimization

Reference 14

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Source-reported events for the cited work

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Observation 2d0bc935-08bb-4c0c-97a1-67010908c5d8 · outbound

This paper cites Mars: Markov molecular sampling for multi-objective drug dis- covery.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Mars: Markov molecular sampling for multi-objective drug dis- covery

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 4a58ab8a-75c6-445f-b62f-10e2f534002a · outbound

This paper cites Augmenting genetic algorithms with deep neural networks for exploring the chemical space.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Augmenting genetic algorithms with deep neural networks for exploring the chemical space

Reference 16

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Source-reported events for the cited work

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Observation 52f482e3-767d-44e4-a624-ccab1df2e2a7 · outbound

This paper cites Guiding deep molecular optimization with genetic exploration.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Guiding deep molecular optimization with genetic exploration

Reference 17

Resolution
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Source-reported events for the cited work

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Observation cf2fcf61-08da-45ab-81ff-8477e4313fca · outbound

This paper cites Molecular de-novo design through deep reinforcement learning.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Molecular de-novo design through deep reinforcement learning

Reference 18

Resolution
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Source-reported events for the cited work

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Observation f98b964f-6a82-4967-bf79-86f2a017c865 · outbound

This paper cites Multi-objective molecule generation using interpretable substructures.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Multi-objective molecule generation using interpretable substructures

Reference 19

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Source-reported events for the cited work

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Observation 3d848dbd-817a-415d-aa42-35dd8c22a6b2 · outbound

This paper cites Deep generative molecular design reshapes drug discovery.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Deep generative molecular design reshapes drug discovery

Reference 20

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Source-reported events for the cited work

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Observation 0da2a76f-2c3f-423e-9c7e-ce9f1b920b77 · outbound

This paper cites Scaffold-based molecular design with a graph generative model.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Scaffold-based molecular design with a graph generative model

Reference 21

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Source-reported events for the cited work

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Observation 1a5b6c03-5060-469d-944b-ad49e9ca4be2 · outbound

This paper cites A domain-label-guided translation model for molecular optimization.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization A domain-label-guided translation model for molecular optimization

Reference 22

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Source-reported events for the cited work

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Observation 6f6da5a2-54b3-4d6e-8ab7-0dfcdd2fb728 · outbound

This paper cites MolSearch: Search-based Multi- objective Molecular Generation and Property Optimization.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization MolSearch: Search-based Multi- objective Molecular Generation and Property Optimization

Reference 23

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Observation 810c50b8-7a85-4165-a71c-2d88d87fa16e · outbound

This paper cites The role of ai in drug discovery: challenges, opportunities, and strategies.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization The role of ai in drug discovery: challenges, opportunities, and strategies

Reference 24

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Source-reported events for the cited work

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Observation 3127ca84-f4a3-4aa1-a869-6d6ec2067da6 · outbound

This paper cites Learning multimodal graph-to-graph translation for molecular optimization.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Learning multimodal graph-to-graph translation for molecular optimization

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation befb0a15-1757-4449-8d9a-1f92cfaa8569 · outbound

This paper cites Core: Automatic molecule optimization using copy & refine strategy.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Core: Automatic molecule optimization using copy & refine strategy

Reference 26

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Source-reported events for the cited work

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Observation 6a9cc0f2-615b-4eda-8a6d-78c8559d1a19 · outbound

This paper cites Unpaired generative molecule-to-molecule translation for lead optimization.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Unpaired generative molecule-to-molecule translation for lead optimization

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c3eae773-ce93-41b4-88f9-1480e8b03b1c · outbound

This paper cites Structure-aware conditional variational auto-encoder for constrained molecule optimization.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Structure-aware conditional variational auto-encoder for constrained molecule optimization

Reference 28

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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 2026-08-14T06:32:32.682623+00:00.

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Observation d36066f1-c78e-44b2-861b-6d267a28e270 · outbound

This paper cites Optimizing molecules using efficient queries from property evaluations.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Optimizing molecules using efficient queries from property evaluations

Reference 29

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Source-reported events for the cited work

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Observation 4077b5a9-8c26-40a7-ba0b-6ed85b3fc859 · outbound

This paper cites MolFinder: an evolutionary algorithm for the global optimization of molec- ular properties and the extensive exploration of chemical space using SMILES.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization MolFinder: an evolutionary algorithm for the global optimization of molec- ular properties and the extensive exploration of chemical space using SMILES

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 310e4d02-b257-42d1-949d-3cc17ef5a2aa · outbound

This paper cites Molecule optimization via multi-objective evolutionary in implicit chemical space.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Molecule optimization via multi-objective evolutionary in implicit chemical space

Reference 31

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Source-reported events for the cited work

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Observation 699902a7-e589-4210-804b-39095c973ded · outbound

This paper cites Efficient multi-objective molecular optimization in a continuous latent space.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Efficient multi-objective molecular optimization in a continuous latent space

Reference 32

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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 2026-08-14T06:32:32.682623+00:00.

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Observation 7f535c92-a2ad-4857-b9cc-2468f2a1b339 · outbound

This paper cites Graph-based molecular Pareto optimisation.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Graph-based molecular Pareto optimisation

Reference 33

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Source-reported events for the cited work

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Observation f01d61bb-eebc-4ce4-b2a8-0efc55da9841 · outbound

This paper cites Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.608154Z digest=sha256:c64a62c37847766e963512132323f514eb3555ecafa478413284a98b5a82115a

Observation 3141a05e-d4a8-4843-8daf-d0f524678bae · outbound

This paper cites A crossover operator using independent component analysis for real- coded genetic algorithms.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization A crossover operator using independent component analysis for real- coded genetic algorithms

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.379828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.613219Z digest=sha256:e72da0c7e9fa1754e61c182b991a95ebb83b23bb8123b2de0d9a4703b1102f70

Observation 05c838ba-79be-4c17-b388-5d4d6fe940d3 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.353011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.618794Z digest=sha256:5a54be365e8e18979decb0ff577faa065f59cc9495cca70e86f2795c7e598e88

Observation 001cf9c7-d297-4221-9e5f-e144910df7ef · outbound

This paper cites Quantifying the chemical beauty of drugs.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Quantifying the chemical beauty of drugs

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.332055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.624326Z digest=sha256:8a8618572d80ebd0852434bc52db30d1acf6af7e8f2ef0251af6272b1f15d9bf

Observation a31e0ba8-64f1-49d3-bbec-148952408d32 · outbound

This paper cites iLOGP: a simple, robust, and efficient description of n-octanol/water partition coefficient for drug design using the GB/SA approach.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization iLOGP: a simple, robust, and efficient description of n-octanol/water partition coefficient for drug design using the GB/SA approach

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.309348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.630515Z digest=sha256:88915a482395d6cccfac08827557ed8b631291038731fe5c6018ec8debefe86d

Observation f8d00bcd-1795-4014-9f6a-174990e80c9c · outbound

This paper cites Why is Tanimoto index an appropriate choice for fingerprint- based similarity calculations? Journal of cheminformatics 2015;7:1–13.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Why is Tanimoto index an appropriate choice for fingerprint- based similarity calculations? Journal of cheminformatics 2015;7:1–13

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.293049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.635608Z digest=sha256:0df70dbf7b03b9ce666bbc8cc4d066eed8a261e2296f72060b6780e6a1046f2b

Observation d0b6474d-c8b3-4461-92fe-8827fcccfb59 · outbound

This paper cites GuacaMol: benchmarking models for de novo molecular design.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization GuacaMol: benchmarking models for de novo molecular design

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.274437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.641189Z digest=sha256:1718488225262480ed2b034f7e59ab9927fbc58d4be19b59cb478b440c685579

Observation a226a556-aa89-464f-b1cc-cfb338f9f8bd · outbound

This paper cites Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T17:55:25.646982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:55:25.646982Z digest=sha256:150dbc808508f873d2674c2af59928d1b102cbd0bf1bafa392253a32b8b59796

Observation 0e152e83-3f90-46d8-9099-1b0c8402b787 · outbound

This paper cites AutoDock Vina 1.2.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization AutoDock Vina 1.2

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.252533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.654397Z digest=sha256:59606f83b93129e2f4c4e213b24b2e0d69084d20697062b434b92d72ca7dc0a6

Observation b1ebde90-f758-46bd-b829-36516b223b98 · outbound

This paper cites Multi-objective de novo drug design with conditional graph generative model.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Multi-objective de novo drug design with conditional graph generative model

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.236776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.660408Z digest=sha256:215cc0a4b1586c53753caffefed2bb31d4a59cb6f1fa0aae147065f449f0db98

Observation 0c53e11a-c43b-4b39-9b0d-b785d5a0a929 · outbound

This paper cites A faster algorithm for calculating hypervolume.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization A faster algorithm for calculating hypervolume

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.218804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.667453Z digest=sha256:97b6ea3438583dd8354f4408035f714db0c870853989b0c89e48433b9935cee9

Observation 62141d50-5a28-438c-a2c2-19e276b83a0f · outbound

This paper cites Geo-Measures: A PyMOL plugin for protein structure ensembles analysis.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Geo-Measures: A PyMOL plugin for protein structure ensembles analysis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.201263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.674704Z digest=sha256:c473cced125a519ca7f517aa28c49751d8e2afd82db26d8725537e40582ea5cf

Observation 9a3c00d9-8171-4720-8ec0-45fdeb9ae43c · outbound

This paper cites A knowledge-guided pre-training framework for improving molecular representation learning.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization A knowledge-guided pre-training framework for improving molecular representation learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.176994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.680194Z digest=sha256:2893033fe4bb595e81aaf7238f04bcb2b266e2249600536844024e3b207529e7

Observation b8ecaaeb-fc65-4457-a238-aa85e6bca094 · outbound

This paper cites Molecular screening of glycyrrhizin- based inhibitors against ACE2 host receptor of SARS-CoV-2.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Molecular screening of glycyrrhizin- based inhibitors against ACE2 host receptor of SARS-CoV-2

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.149810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.685908Z digest=sha256:9de97886bac450661acf567f8133901417b222b17e5db5c749a43afcbffe9d78

Observation 01ed39d8-7841-4df9-8387-35c90b3adabc · outbound

This paper cites UniProt: a worldwide hub of protein knowledge.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization UniProt: a worldwide hub of protein knowledge

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.125857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.691525Z digest=sha256:9a5f4917b6019e64af8e32031faa118436ced498d58426c50c6ed60d5191c57f

Observation cb2b1534-ae3b-4642-9f46-aa255b5f2aef · outbound

This paper cites Deep evolutionary learning for molecular design.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Deep evolutionary learning for molecular design

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.104527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.699411Z digest=sha256:ff15de08d7ec25d57eeabbd7c373c5beb6e1690890bbc8997dda936fa6cffeff

Observation 936f2f0c-1be5-47a5-9c4d-2660e89b5a68 · outbound

This paper cites Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.084157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.705779Z digest=sha256:1c3658a61b3ce886b77bfe43532a95d19df9ceabf61f6d294f682e5fe05db2cd

Observation 0d22b45f-0d72-4388-a8d0-e8973081b3e8 · outbound

This paper cites Design and analysis of helper-problem- assisted evolutionary algorithm for constrained multiobjective optimization.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Design and analysis of helper-problem- assisted evolutionary algorithm for constrained multiobjective optimization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.065991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.714017Z digest=sha256:a3198afdc99592fc68aaaa675547596c0ab1da14b5070bf4a6a4a62fc9852764

Observation 47e378de-a058-465a-87cc-b21f0257b6fa · outbound

This paper cites MolScore: A scoring and evaluation framework for de novo drug design.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization MolScore: A scoring and evaluation framework for de novo drug design

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.041027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.719817Z digest=sha256:b89dd0f94048d08ae3e3665206c961146007d4f6fd1f24c368c7b46aa4d9afb9

Observation af1ba259-ee03-4b62-82f0-0848e920da65 · outbound

This paper cites An overview of compound prop- erties, multiparameter optimization, and computational drug design methods for PARP-1 in- hibitor drugs.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization An overview of compound prop- erties, multiparameter optimization, and computational drug design methods for PARP-1 in- hibitor drugs

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:26.019513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.726458Z digest=sha256:d4324d96ca1102b4c136ab9c8ef498994e2b696e57f9ca7ccea8533586dc7a15

Observation 3388cc16-b129-4774-9721-39560da8a209 · outbound

This paper cites New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:25.997070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.736374Z digest=sha256:5b4e8d8b2a69ff761e8c35ebed4a99edc00dc8bd31a9cd67aaf0f9aed8a0e7d7

Observation f6946c6c-402d-4c32-90f8-1427e4530835 · outbound

This paper cites Privileged structures in drug discovery: medicinal chemistry and synthesis.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization Privileged structures in drug discovery: medicinal chemistry and synthesis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:25.978288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.744199Z digest=sha256:6adb55fec98b1e370e08c9d6d615ee6ef720e0b8a02fb230f0780f387f0800ca

Observation 46c9cc53-2f9e-4795-8841-42b65403b510 · outbound

This paper cites ZINC 15–ligand discovery for everyone.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization ZINC 15–ligand discovery for everyone

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:25.954898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.753095Z digest=sha256:c976028e1fd1c399175b77afec9f5861e0696be624dc6c71e1022ee54eb66b16

Observation a7dbda29-74b0-46b5-8417-91326433246a · outbound

This paper cites ChEMBL: a large-scale bioactivity database for drug discovery.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization ChEMBL: a large-scale bioactivity database for drug discovery

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:25.937741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.760536Z digest=sha256:fbfbb388bb63561740691afa13e72736e7904099edc0758eb34a8dbcc2625884

Observation 4ab28ae5-87bf-4eb5-af69-5fcda475a25e · outbound

This paper cites PubChem substance and compound databases.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization PubChem substance and compound databases

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:25.913514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.767087Z digest=sha256:cdae97bf574df23f04fd791f616b4a9c4dce1e7e4c4e9a9811f94133925ee2ee

Observation eecb0b4b-6ee0-4664-9051-833773b6943a · outbound

This paper cites A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems.

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:55:25.891195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:55:25.774090Z digest=sha256:9b4c3e4efcc3fe0ddb970e58f91e016fcf0860aa7cb206b1f43d9509dc4a347d

Pith citing papers

No inbound Pith citation observations are available.