Paper Citation Record · LEDGER

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.18777.

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

pith.paper-citation-record.v1
2501.18777 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:34:20.716647Z

measured 41 of 41 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

41 of 41 outbound references displayed

verified exact1
verified fuzzy30
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e9d97da-4d15-4198-8139-cdfe54364ecf · outbound

This paper cites C.; Hagenbuchner, M.; Monfardini, G.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors C.; Hagenbuchner, M.; Monfardini, G

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.869290Z

Source-reported events for the cited work

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Observation b2ed5fb1-17ec-4d30-bcff-402284b944c4 · outbound

This paper cites Communications Materials 2022, 3, 93.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Communications Materials 2022, 3, 93

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be4260c-3f07-4613-b78b-c9003b7d79fc · outbound

This paper cites A.; Ferreira, N.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors A.; Ferreira, N

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.841714Z

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Observation cc689d58-d213-4c50-930f-ffa74711cc98 · outbound

This paper cites How (not) to generate a highly predictive biomarker panel using machine learning.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors How (not) to generate a highly predictive biomarker panel using machine learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.825244Z

Source-reported events for the cited work

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Observation bff6e14c-bce5-4f13-9b94-8d7c10e42ea6 · outbound

This paper cites Machine learning for chemical reactions.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Machine learning for chemical reactions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.808722Z

Source-reported events for the cited work

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Observation 7a218937-16c0-4163-bc69-e9ad0086e60f · outbound

This paper cites P.; Sena, M.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors P.; Sena, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.791195Z

Source-reported events for the cited work

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Observation f395e1bc-f61c-4d3b-aee6-9f1649fe3ea8 · outbound

This paper cites H.; Sun, M.; Huang, B.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors H.; Sun, M.; Huang, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.775630Z

Source-reported events for the cited work

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Observation a96481a3-dba4-46ba-83ae-43c11ce3690f · outbound

This paper cites Molecular representations in AI-driven drug discovery: a review and practical guide.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Molecular representations in AI-driven drug discovery: a review and practical guide

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.761155Z

Source-reported events for the cited work

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Observation 848625fb-cc5d-4b1d-8bc6-bbbbe55500dd · outbound

This paper cites A.; Hamdani, S.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors A.; Hamdani, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.745969Z

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 966a3eb3-3fb6-4409-baf6-6221eec0142b · outbound

This paper cites an unresolved cited work.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:34:21.731444Z

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 913b361a-1192-4a25-91c2-e1ca1ebea2ff · outbound

This paper cites T.; Wong, C.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors T.; Wong, C

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.715891Z

Source-reported events for the cited work

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Observation bdf5a93c-3d19-4e7e-a013-e91023e7c710 · outbound

This paper cites C.; Santana, V.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors C.; Santana, V

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.700600Z

Source-reported events for the cited work

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Observation 38d23b79-8697-4168-8eb3-c5fa74f41d87 · outbound

This paper cites K.; Mayhew, E.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors K.; Mayhew, E

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.684104Z

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 0756a203-8b23-4174-8b5d-73f07d1bf3c5 · outbound

This paper cites R.; Paolini, G.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors R.; Paolini, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.668032Z

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 6f820988-fc46-4e20-8974-a384936e4180 · outbound

This paper cites J.; Arayata, C.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors J.; Arayata, C

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.653219Z

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 dee74182-443b-4c61-9419-76b59f9c71dd · outbound

This paper cites Fragrances: Beneficial and Adverse Effects; Springer, 1998; pp 49--56.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Fragrances: Beneficial and Adverse Effects; Springer, 1998; pp 49--56

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.636495Z

Source-reported events for the cited work

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Observation 14c8d4b2-c547-4b59-9c0b-4e80a27f5f74 · outbound

This paper cites C.; Reymond, J.-L.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors C.; Reymond, J.-L

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.619652Z

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 0afa0a1f-e436-4c86-a57e-59798f70bf21 · outbound

This paper cites Expanding the fragrance chemical space for virtual screening.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Expanding the fragrance chemical space for virtual screening

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.603169Z

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 4f598928-310d-4ed7-954a-95b1eef43e59 · outbound

This paper cites C.; Santana, V.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors C.; Santana, V

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.587274Z

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 08755d17-b4af-4420-961e-c95165568faf · outbound

This paper cites A.; Kumar, R.; Saha, P.; Schmuker, M.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors A.; Kumar, R.; Saha, P.; Schmuker, M

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-09T22:34:21.316725Z

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 afe2664e-1c6d-46a3-803f-0596011ca9fe · outbound

This paper cites Frontiers in pharmacology 2020, 11, 565644.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Frontiers in pharmacology 2020, 11, 565644

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.571662Z

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 226e2743-b902-4d0e-9f67-89c45b9994b0 · outbound

This paper cites A.; Thiessen, P.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors A.; Thiessen, P

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.556553Z

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 460aa271-c7a5-453b-8b6e-81be795729dd · outbound

This paper cites Variational Graph Auto-Encoders.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Variational Graph Auto-Encoders

Reference 23

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Source-reported events for the cited work

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Observation efae02d9-8a94-4e0d-bc05-2b0d7ca60ff5 · outbound

This paper cites Auto-Encoding Variational Bayes.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Auto-Encoding Variational Bayes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T22:34:20.635021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb37ef07-23ad-4aa7-98fe-bea47c93337f · outbound

This paper cites Generative adversarial nets.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Generative adversarial nets

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.540362Z

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 f1644938-b1a2-4f13-8f54-55b605ba4947 · outbound

This paper cites Adversarially Regularized Graph Autoencoder for Graph Embedding.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Adversarially Regularized Graph Autoencoder for Graph Embedding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T22:34:20.643518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8341b37-4beb-49e8-902e-ee428a225b19 · outbound

This paper cites Denoising diffusion probabilistic models.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Denoising diffusion probabilistic models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.525249Z

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 f97dd888-7705-4f67-b998-e703c274b0ec · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 28

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Source-reported events for the cited work

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Observation bef5c3ce-7204-40de-b302-d2a895aa4204 · outbound

This paper cites an unresolved cited work.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:34:21.510693Z

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 a92624ef-2b83-48e4-ba43-77146851ac1c · outbound

This paper cites an unresolved cited work.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:34:21.494207Z

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 aaa9c0fe-c524-45e7-b4d0-6d7564e5dd12 · outbound

This paper cites Logistic regression-guided identification of cofactor specificity-contributing residues in enzyme with sequence datasets partitioned by catalytic properties.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Logistic regression-guided identification of cofactor specificity-contributing residues in enzyme with sequence datasets partitioned by catalytic properties

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.477885Z

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 6651c794-45c1-4791-9a43-9282e215485a · outbound

This paper cites J.; Dood, J.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors J.; Dood, J

Reference 33

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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 44678544-8553-4752-9b1d-d881682578a3 · outbound

This paper cites The Good Scents Company Information System.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors The Good Scents Company Information System

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.445482Z

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 5244911e-f381-4587-9cff-c93c8b29f123 · outbound

This paper cites an unresolved cited work.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:34:21.430646Z

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 8e570c2a-4556-49f4-a808-74150e5de4f8 · outbound

This paper cites W.; Murcko, M.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors W.; Murcko, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.414980Z

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 cd1dc443-8d50-40d5-bcd7-46c210897762 · outbound

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

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations? Journal of cheminformatics 2015, 7, 1--13

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.399546Z

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 1534006c-bbcd-45bf-9007-e20220f52b70 · outbound

This paper cites Synthetic Minority Over-sampling TEchnique (SMOTE).

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Synthetic Minority Over-sampling TEchnique (SMOTE)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.381807Z

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 df929ea3-93c1-4ac0-89f1-b4d1f8e62178 · outbound

This paper cites Y.-L.; Leow, S.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Y.-L.; Leow, S

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.365692Z

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 c1d89cee-5a07-4089-928c-330b3e99d177 · outbound

This paper cites M.; Lee, S.-I.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors M.; Lee, S.-I

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.348827Z

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 33935b99-501b-4a5a-b82f-3a5d3f55981c · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors Optuna: A next-generation hyperparameter optimization framework

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:34:21.333196Z

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 30bab250-4979-4fd8-9179-0cbdb8b5f6ad · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T22:34:20.716647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.