Paper Citation Record · LEDGER

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.00290.

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

pith.paper-citation-record.v1
2505.00290 v1

Coverage vector

measured 36 of 36 reference resolution

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measured 36 of 36 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42a01386-9620-475c-b081-0a8eb235a1b2 · outbound

This paper cites Incorporating label dependency into the binary relevance framework for multi-label classification.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Incorporating label dependency into the binary relevance framework for multi-label classification

Reference 1

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Observation d99ffb11-d70f-4ada-a976-db126057c1da · outbound

This paper cites Predicting human olfactory percep- tion from chemical features of odor molecules.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Predicting human olfactory percep- tion from chemical features of odor molecules

Reference 9

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Observation 7c2c1092-e989-497c-9659-8b8d7d7809ec · outbound

This paper cites Hierarchy-aware biased bound margin loss func- tion for hierarchical text classification.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Hierarchy-aware biased bound margin loss func- tion for hierarchical text classification

Reference 10

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Observation 01e4356a-659b-4870-b942-9a3cf56ac51b · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 11

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Observation f6a93616-91c5-4187-a840-81aa7ae816f8 · outbound

This paper cites Unsupervised Optimisation of GNNs for Node Clustering.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Unsupervised Optimisation of GNNs for Node Clustering

Reference 13

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Observation b7d4c579-5d6e-4509-8a65-56ddf1b66aad · outbound

This paper cites Leffingwell & as- sociates.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Leffingwell & as- sociates

Reference 14

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Observation 146cbf0b-be39-4252-9c4d-3e315e8ebc3a · outbound

This paper cites Random fourier feature-based deep learning for wireless communications.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Random fourier feature-based deep learning for wireless communications

Reference 16

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Observation 748e4efe-d8ce-49c9-bc2b-ecc6af5efb9b · outbound

This paper cites Mordred: a molecular descriptor calculator.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Mordred: a molecular descriptor calculator

Reference 17

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Observation 310f0e36-b036-4f34-b47e-84b24c771a95 · outbound

This paper cites Topo- logical torsion: a new molecular descriptor for sar ap- plications.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Topo- logical torsion: a new molecular descriptor for sar ap- plications

Reference 18

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Observation a88af90d-b9aa-44f2-abdb-b4dbec9d0459 · outbound

This paper cites Extended-connectivity fingerprints.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Extended-connectivity fingerprints

Reference 20

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Observation 31fe86a4-8594-410a-9d6d-952b72f0ffee · outbound

This paper cites Owsum: algo- rithmic odor prediction and insight into structure-odor re- lationships.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Owsum: algo- rithmic odor prediction and insight into structure-odor re- lationships

Reference 22

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Observation d5c4fe98-9901-4d86-8a7f-7e4bd7060470 · outbound

This paper cites Smiles to smell: decoding the structure–odor relationship of chemical com- pounds using the deep neural network approach.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Smiles to smell: decoding the structure–odor relationship of chemical com- pounds using the deep neural network approach

Reference 23

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Observation 5e2dee64-437c-468c-8381-3338d2e5fa69 · outbound

This paper cites Attention is all you need.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Attention is all you need

Reference 24

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Observation 732e2984-1802-4db7-99bb-42f6c7dc5139 · outbound

This paper cites Graph Attention Networks.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Graph Attention Networks

Reference 25

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Observation 6a2c67ac-6444-4e14-9745-0e6856575041 · outbound

This paper cites Local random feature approximations of the gaussian kernel.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Local random feature approximations of the gaussian kernel

Reference 26

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Observation d50cb929-f064-4d6a-9a68-9ed76fe45f0f · outbound

This paper cites Distributionally Robust Receive Combining.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Distributionally Robust Receive Combining

Reference 27

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Observation 238b4707-068c-4510-baad-7c25bc482135 · outbound

This paper cites An explainable deep learning platform for molecular discovery.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction An explainable deep learning platform for molecular discovery

Reference 28

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Observation 3b33ac00-8942-499a-90b3-3bcdd1052686 · outbound

This paper cites A com- prehensive survey on graph neural networks.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction A com- prehensive survey on graph neural networks

Reference 29

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Observation f14fccbf-d241-49f4-a0b5-090bda2a4e7f · outbound

This paper cites Padel-descriptor: An open source software to calculate molecular descriptors and fingerprints.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Padel-descriptor: An open source software to calculate molecular descriptors and fingerprints

Reference 33

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Observation f2a7aa35-11bb-4623-839e-b73fc95b337a · outbound

This paper cites A machine learning based computer-aided molecular design/screening methodology for fragrance molecules.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction A machine learning based computer-aided molecular design/screening methodology for fragrance molecules

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:44.821815Z

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Observation becb79a3-127c-4cbe-aedf-5e72e6d2b519 · outbound

This paper cites Asymmetric loss for multi-label clas- sification.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Asymmetric loss for multi-label clas- sification

Reference 1987

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Observation 18a88665-c81e-4d07-8cb8-6c52d6c1a411 · outbound

This paper cites fruity”, “floral.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction fruity”, “floral

Reference 2001

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:44.804662Z

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Observation 49c6cd9e-d79f-4023-8311-f600837be8ce · outbound

This paper cites Food, and cosmetics ingre- dients information.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Food, and cosmetics ingre- dients information

Reference 2002

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Observation 7c9d691d-c83d-4c48-9633-1e6951e805b9 · outbound

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

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Predicting odor from molecular structure: A multi-label classification approach

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:44.970264Z

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Observation dc44cf6e-8bf7-448d-9f60-2663f051f5a0 · outbound

This paper cites Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using or- dinal positional encoding.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using or- dinal positional encoding

Reference 2011

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Observation e307b06e-1269-407c-a97e-f4b8ca440a95 · outbound

This paper cites Balanced energy regularization loss for out-of-distribution detection.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Balanced energy regularization loss for out-of-distribution detection

Reference 2012

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Observation 7a1bc669-2582-439f-8a22-738681b4229f · outbound

This paper cites A principal odor map unifies diverse tasks in olfactory perception.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction A principal odor map unifies diverse tasks in olfactory perception

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:45.108470Z

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Observation e0360721-8d88-4f3a-9cae-0a32aad3a434 · outbound

This paper cites Few-shot graph learning for molecular property predic- tion.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Few-shot graph learning for molecular property predic- tion

Reference 2017

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Observation 9c1313f5-4664-4335-a9b1-35375541c159 · outbound

This paper cites Neu- ral message passing for quantum chemistry.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Neu- ral message passing for quantum chemistry

Reference 2018

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This paper cites Spatial smoothing using graph laplacian penalized filter.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Spatial smoothing using graph laplacian penalized filter

Reference 2019

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Observation 7769558a-1ec8-4e57-9989-b5f12e185305 · outbound

This paper cites Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks

Reference 2020

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Observation c4f624bf-fbe8-455e-9814-26b08304066f · outbound

This paper cites Sub- graph generation applied in graphsage deal with imbal- anced node classification.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Sub- graph generation applied in graphsage deal with imbal- anced node classification

Reference 2021

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Observation 86a0f258-cfb3-4d54-9173-f088c783ce3c · outbound

This paper cites Cross-entropy loss functions: Theoretical analysis and applications.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Cross-entropy loss functions: Theoretical analysis and applications

Reference 2022

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Observation d27acadd-b74d-47bc-bdbe-eeecf9cec355 · outbound

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

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Reoptimization of mdl keys for use in drug discovery

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:45.219810Z

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Observation 8d23f223-08b6-40a5-87cc-f5fedcd6fe0e · outbound

This paper cites Recent ad- vances and application of machine learning in food flavor prediction and regulation.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Recent ad- vances and application of machine learning in food flavor prediction and regulation

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:45.159156Z

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Observation fc9613d3-1c13-4c65-b9e6-717e99151d44 · outbound

This paper cites Pushing the boundaries of molecular representation for drug discovery with the graph attention mechanism.

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Pushing the boundaries of molecular representation for drug discovery with the graph attention mechanism

Reference 2025

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