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Paper Citation Record · LEDGER

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.01430.

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

pith.paper-citation-record.v1
2502.01430 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:22:52.740861Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08f819e3-f2c1-4db4-bd2f-9f94c086ac35 · outbound

This paper cites Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a56e080-a284-4ea3-a4fd-2ee00ab444fe · outbound

This paper cites Predicting odor from molecular structure: A multi-label classification approach,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Predicting odor from molecular structure: A multi-label classification approach,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a85cd86a-adbc-49db-9a64-95861e6c0672 · outbound

This paper cites Machine learning models to predict sweetness of molecules,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Machine learning models to predict sweetness of molecules,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 87109716-11c3-468c-bf01-c28835345e2b · outbound

This paper cites Could qsor modelling and machine learning techniques be useful to predict wine aroma?,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Could qsor modelling and machine learning techniques be useful to predict wine aroma?,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d16797fb-ff93-4c9c-8f2f-58c12f6347d3 · outbound

This paper cites Recent advances and application of machine learning in food flavor prediction and regulation,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Recent advances and application of machine learning in food flavor prediction and regulation,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 470f882b-8e8f-4535-a342-6084a2434bd3 · outbound

This paper cites Olfactory perception of chemi- cally diverse molecules,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Olfactory perception of chemi- cally diverse molecules,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ec96bef5-224b-4b7f-afc8-d8083abfc61a · outbound

This paper cites Correlation of diffusion coefficients in dilute solutions,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Correlation of diffusion coefficients in dilute solutions,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 99d7f516-6c02-4715-a3aa-084884625b31 · outbound

This paper cites Olfactory perception prediction model inspired by olfactory lateral inhibition and deep feature combination,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Olfactory perception prediction model inspired by olfactory lateral inhibition and deep feature combination,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d592686a-e364-4935-8e34-62fb7d155596 · outbound

This paper cites Computational modeling of the olfactory receptor olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Computational modeling of the olfactory receptor olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds,

Reference 9

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raw_fallback, observed 2026-08-09T15:22:52.924864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 52d818e0-eb67-47cc-8b57-71c1c81081d7 · outbound

This paper cites Systematic benchmark of substructure search in molecular graphs-from ullmann to vf2,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Systematic benchmark of substructure search in molecular graphs-from ullmann to vf2,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-09T15:22:52.914140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 909689b8-b28e-413b-96ce-a3728ae62127 · outbound

This paper cites Aromatic donor–acceptor interactions in non-polar environments,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Aromatic donor–acceptor interactions in non-polar environments,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 51245a49-d695-4583-8ec1-efa28f4aa520 · outbound

This paper cites Extended-connectivity fingerprints,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Extended-connectivity fingerprints,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e241e0cf-969c-48f5-acf3-9e16dbe2489f · outbound

This paper cites Reoptimization of mdl keys for use in drug discovery,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Reoptimization of mdl keys for use in drug discovery,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7046e254-10d3-42d7-8d05-fd483f1961d9 · outbound

This paper cites Topological torsion: a new molecular descriptor for sar applications. comparison with other descriptors,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Topological torsion: a new molecular descriptor for sar applications. comparison with other descriptors,

Reference 14

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raw_fallback, observed 2026-08-09T15:22:52.874461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 72d1e2cd-290f-49ef-bcbd-dedc2e6b4449 · outbound

This paper cites Graph Attention Networks.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Graph Attention Networks

Reference 15

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no resolver link, observed 2026-08-09T15:22:52.716056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 500a8ba4-08be-4775-901b-d6ad3449d102 · outbound

This paper cites Graph neural networks for molecules,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Graph neural networks for molecules,

Reference 16

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raw_fallback, observed 2026-08-09T15:22:52.863923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 80011a13-cff9-429c-b3ba-e1696bd9910c · outbound

This paper cites Focal loss for dense object detection,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Focal loss for dense object detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 455f1fd7-f420-423f-8641-f334e52c891e · outbound

This paper cites L2 Regularization for Learning Kernels.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks L2 Regularization for Learning Kernels

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 15057a10-5fdf-433a-9228-0178796738a9 · outbound

This paper cites Classifier Chain Networks for Multi-Label Classification.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Classifier Chain Networks for Multi-Label Classification

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3a4db73e-8c6d-4bc0-8caf-c39b7e1965d1 · outbound

This paper cites Machine learning guided early drug discovery of small molecules,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Machine learning guided early drug discovery of small molecules,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 763d8e08-4a17-4372-ac2b-7cbfba1ec1c6 · outbound

This paper cites Optimal performance of binary relevance cnn in targeted multi-label text classification,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Optimal performance of binary relevance cnn in targeted multi-label text classification,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1fe8d5e8-2573-4d1f-90a5-221f25083a24 · outbound

This paper cites Mordred: a molecular descriptor calculator,.

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks Mordred: a molecular descriptor calculator,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.