Paper Citation Record · LEDGER

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:1908.01425.

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

pith.paper-citation-record.v1
1908.01425 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:19:34.544402Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:50:56.302467Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:16:14.067578Z

Reference resolution

49 of 49 outbound references displayed

verified exact3
verified fuzzy38
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8be92180-b105-4a8f-b1f1-ed23b4c71cb7 · outbound

This paper cites Elton, Zois Boukouvalas, Mark D.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Elton, Zois Boukouvalas, Mark D

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.291853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a644775a-d47c-4630-b539-5d6bcd9a20c9 · outbound

This paper cites Estimation of the size of drug-like chemical space based on gdb-17 data.Journal of computer-aided molecular design, 27(8):675–679, 2013.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Estimation of the size of drug-like chemical space based on gdb-17 data.Journal of computer-aided molecular design, 27(8):675–679, 2013

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.280179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3eeba718-dd66-4af5-8c89-e5505999a106 · outbound

This paper cites Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera- Iparraguirre, Timothy D.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera- Iparraguirre, Timothy D

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:19:34.351784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c528e9f6-f838-42a8-bee4-9beee658c9a3 · outbound

This paper cites Junction tree variational autoencoder for molecular graph generation, 2018.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Junction tree variational autoencoder for molecular graph generation, 2018

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.267304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db4b464b-0d91-4fba-9e97-e7870677ea43 · outbound

This paper cites Deep reinforcement learning for de-novo drug de- sign.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Deep reinforcement learning for de-novo drug de- sign

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.137755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aae10e9d-193a-48ab-9927-7d031b56f973 · outbound

This paper cites Graph convolutional policy network for goal-directed molecular graph generation, 2018.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Graph convolutional policy network for goal-directed molecular graph generation, 2018

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.125051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63b8c8b7-4e72-46f1-9267-1c9255e7382c · outbound

This paper cites High-throughput machine-learning-driven synthesis of full-heusler compounds.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations High-throughput machine-learning-driven synthesis of full-heusler compounds

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.111415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b87e685c-b994-4cf4-877e-95f1ae8a9f22 · outbound

This paper cites High-dimensional ma- terials and process optimization using data-driven ex- perimental design with well-calibrated uncertainty es- timates.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations High-dimensional ma- terials and process optimization using data-driven ex- perimental design with well-calibrated uncertainty es- timates

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.097131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e9bca61a-6e91-4b82-b188-a1a9253833f4 · outbound

This paper cites Constrained bayesian optimization for au- tomatic chemical design, 2017.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Constrained bayesian optimization for au- tomatic chemical design, 2017

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.085062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 539b4016-a377-42fb-9b15-d317d3e2add5 · outbound

This paper cites Graph kernels for chemical informatics.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Graph kernels for chemical informatics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.072379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e89bedf-685d-42c1-8ead-ec8e33eb6d9b · outbound

This paper cites Graph kernels for chemical compounds using topological and three- dimensional local atom pair environments.Neurocom- puting, 74(1-3):219–229, 2010.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Graph kernels for chemical compounds using topological and three- dimensional local atom pair environments.Neurocom- puting, 74(1-3):219–229, 2010

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.056905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69f11a28-09c2-4ca8-8e7e-66becc3efe6a · outbound

This paper cites A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T15:19:34.398306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbbd56bf-6390-430b-84c2-59d51080c1b6 · outbound

This paper cites Quantifying the chemical beauty of drugs.Nature chemistry, 4(2): 90, 2012.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Quantifying the chemical beauty of drugs.Nature chemistry, 4(2): 90, 2012

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.042747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d98666ba-81b6-4060-bc31-6c26c2ffc1ed · outbound

This paper cites Smiles: A line no- tation and computerized interpreter for chemical struc- tures.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Smiles: A line no- tation and computerized interpreter for chemical struc- tures

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.026844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64021392-e2ad-4e93-9ed6-709d1673f7cf · outbound

This paper cites Conditional molec- ular design with deep generative models.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Conditional molec- ular design with deep generative models

Reference 15

Resolution: verified exact; doi, observed 2026-08-14T15:19:34.580575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 132e0891-7dde-474c-8f71-17449c3ecd5d · outbound

This paper cites Objective-reinforced generative adver- sarial networks (organ) for sequence generation models, 2017.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Objective-reinforced generative adver- sarial networks (organ) for sequence generation models, 2017

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.013155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 038f370b-3aa0-4f9a-943c-0483ac167e76 · outbound

This paper cites Optimization of Molecules via Deep Reinforcement Learning.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Optimization of Molecules via Deep Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:19:34.649361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b86d678-d9b9-4ee0-95f4-7cf4eb8a00e6 · outbound

This paper cites Learning multimodal graph-to-graph translation for molecular optimization, 2018.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Learning multimodal graph-to-graph translation for molecular optimization, 2018

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:35.000025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b11d0419-7a45-4435-b72b-796cc6e67a9a · outbound

This paper cites Predicting molec- ular properties with covariant compositional networks.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Predicting molec- ular properties with covariant compositional networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.987035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f9c53d5-684b-4672-ada4-2657a2d0f3e2 · outbound

This paper cites Contextual decision processes with low bellman rank are pac- learnable.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Contextual decision processes with low bellman rank are pac- learnable

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.974884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation caac3216-58aa-4a99-876e-d2dcbe48595f · outbound

This paper cites Kusner, Brooks Paige, and José Miguel Hernández-Lobato.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Kusner, Brooks Paige, and José Miguel Hernández-Lobato

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T15:19:34.435902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a4eefd-c2c8-4cf3-a029-0f93a2027e79 · outbound

This paper cites Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contribu- tions.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contribu- tions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.955762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82bb229c-6446-4557-a75c-2b97d78e714b · outbound

This paper cites Route designer: a retrosynthetic analysis tool utilizing auto- mated retrosynthetic rule generation.Journal of chem- ical information and modeling , 49(3):593–602, 2009.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Route designer: a retrosynthetic analysis tool utilizing auto- mated retrosynthetic rule generation.Journal of chem- ical information and modeling , 49(3):593–602, 2009

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.943939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 310a3a4a-90f9-41f9-9615-c340f4daf4b9 · outbound

This paper cites Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T15:19:34.446931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0de2346-e64e-492d-9b00-0d0f16ccdcbf · outbound

This paper cites Neural networks for the prediction of organic chemistry reactions.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Neural networks for the prediction of organic chemistry reactions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.931252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4ac4e62-a67e-427f-9f39-6990422b6918 · outbound

This paper cites Coley, Wengong Jin, Luke Rogers, Tim- othy F.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Coley, Wengong Jin, Luke Rogers, Tim- othy F

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.919199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0432977-eb70-4846-8dd1-9f2415f4f9fe · outbound

This paper cites No electron left behind: a rule-based expert system to predict chem- ical reactions and reaction mechanisms.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations No electron left behind: a rule-based expert system to predict chem- ical reactions and reaction mechanisms

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.907452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35955543-348d-4210-b62e-2a08d0b1217b · outbound

This paper cites Computational prediction of chemical reactions: current status and outlook.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Computational prediction of chemical reactions: current status and outlook

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.896873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d2bcfa7-eb85-443d-94e8-7b21c1dc3968 · outbound

This paper cites Coley, Regina Barzilay, and Tommi Jaakkola.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Coley, Regina Barzilay, and Tommi Jaakkola

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.885090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77c57238-7a66-4ce2-be61-590b37e7fe18 · outbound

This paper cites found in transla- tion.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations found in transla- tion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.872757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57e30f46-8b16-4263-9693-747aea741adc · outbound

This paper cites Deriving neural architectures from sequence and graph kernels, 2017.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Deriving neural architectures from sequence and graph kernels, 2017

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.861446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f144528-6d50-4bce-b860-f45f8cfaac63 · outbound

This paper cites A Model to Search for Synthesizable Molecules.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations A Model to Search for Synthesizable Molecules

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:19:34.622039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation faa86861-0833-4678-be34-ad6454ed249e · outbound

This paper cites Graph distances using graph union.Pattern Recognition Letters, 22(6-7):701–704, 2001.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Graph distances using graph union.Pattern Recognition Letters, 22(6-7):701–704, 2001

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.848992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e57ce76-97d5-4cc2-b2fc-1f3d21fc8e03 · outbound

This paper cites Diﬀusion kernels on graphs and other discrete input spaces.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Diﬀusion kernels on graphs and other discrete input spaces

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.836477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7e2f01f-b76f-42d6-8797-bea4fa5731f3 · outbound

This paper cites Scalable, Active and Flexible Learning on Distributions.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Scalable, Active and Flexible Learning on Distributions

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.824800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f809160d-4f23-442a-a468-df537459c6a5 · outbound

This paper cites Chemi-net: a graph convolutional network for accurate drug property prediction.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Chemi-net: a graph convolutional network for accurate drug property prediction

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T15:19:34.495369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119fb18e-ebaf-424a-9203-8cb4ffa07dee · outbound

This paper cites Graph convolutional neural networks for predicting drug-target interactions.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Graph convolutional neural networks for predicting drug-target interactions

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.814830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78b43168-478a-4575-8dc7-c679ad156922 · outbound

This paper cites Molecular graph con- volutions: moving beyond ﬁngerprints.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Molecular graph con- volutions: moving beyond ﬁngerprints

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.804166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30ec43d9-4604-4cbf-b0a7-48433a9327d7 · outbound

This paper cites PhD thesis, 2014.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations PhD thesis, 2014

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.790062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e27e961-1432-4ed1-9c79-d584dabbaaf0 · outbound

This paper cites Neural Architecture Search with Bayesian Optimisation and Optimal Transport.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.777888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 705e4cbd-9a27-49d2-9bc0-f529705a72cc · outbound

This paper cites Practical Bayesian Optimization of Machine Learn- ing Algorithms.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Practical Bayesian Optimization of Machine Learn- ing Algorithms

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.765908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 837a249c-c4f2-47d4-a890-5d1625653e96 · outbound

This paper cites Collins, Jeﬀ Schneider, Barnabas Poczos, and Eric P.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Collins, Jeﬀ Schneider, Barnabas Poczos, and Eric P

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.753556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bbbc7608-8caa-43fd-b402-4c55512822e9 · outbound

This paper cites an unresolved cited work.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:19:34.740557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7f65daf-e9fe-48dc-8d08-968637a85b8d · outbound

This paper cites Relationships between octanol-water partition coeﬃcient and aque- ous solubility.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Relationships between octanol-water partition coeﬃcient and aque- ous solubility

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.714675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e6bbf71-5354-4b20-903a-92951ab0ebe3 · outbound

This paper cites Rdkit: Open-source cheminfor- matics, 2006.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Rdkit: Open-source cheminfor- matics, 2006

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.699587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e51300c0-0903-4fc8-919a-63a415d1f7e6 · outbound

This paper cites Zinc- a free database of commercially available compounds for vir- tual screening.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Zinc- a free database of commercially available compounds for vir- tual screening

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.687507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dedc468e-1b21-4811-91d5-6f003fd43a66 · outbound

This paper cites Visu- alizing data using t-sne.Journal of machine learning research, 9(Nov):2579–2605, 2008.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Visu- alizing data using t-sne.Journal of machine learning research, 9(Nov):2579–2605, 2008

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:19:34.673681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 08dbf305-723f-4fce-946e-82b5cdd1cdf3 · outbound

This paper cites an unresolved cited work.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Unresolved cited work

Reference 338

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:19:34.726866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b51a766-23b1-4c0f-8771-e0d57cae43b2 · outbound

This paper cites an unresolved cited work.

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Unresolved cited work

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-14T15:19:34.367144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2efb2782-3356-4337-a05a-07a400525884 · inbound

Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language cites this paper.

Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

Reference 62

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T14:50:57.426371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.