Paper Citation Record · LEDGER

A simple DNN regression for the chemical composition in essential oil

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2412.12936.

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

pith.paper-citation-record.v1
2412.12936 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:37:31.814966Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy12
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdf55fd2-23c0-4569-bc5b-d8b82a53eb9b · outbound

This paper cites Predicting human olfactory perception from chemical features of odor molecules.

A simple DNN regression for the chemical composition in essential oil Predicting human olfactory perception from chemical features of odor molecules

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:31.715985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00af80d8-fa6d-4dd8-ab91-092faaadd818 · outbound

This paper cites Qsar-based virtual screening: advances and applications in drug discovery.

A simple DNN regression for the chemical composition in essential oil Qsar-based virtual screening: advances and applications in drug discovery

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.142970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19476d98-acde-4c5b-a74f-45b1550394c0 · outbound

This paper cites A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification.

A simple DNN regression for the chemical composition in essential oil A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:31.727579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daac7535-98c7-44b4-857d-41af346f59d2 · outbound

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

A simple DNN regression for the chemical composition in essential oil Semi-Supervised Classification with Graph Convolutional Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:31.733177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be01818-aecf-4016-928b-02b6c6fb03e1 · outbound

This paper cites https://github.com/pyg-team/pytorch_geometric/blob/master/ torch_geometric/nn/conv/gcn_conv.py.

A simple DNN regression for the chemical composition in essential oil https://github.com/pyg-team/pytorch_geometric/blob/master/ torch_geometric/nn/conv/gcn_conv.py

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.125983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04c3a2d7-14b4-4311-8432-8eb3715e4893 · outbound

This paper cites Graph Attention Networks.

A simple DNN regression for the chemical composition in essential oil Graph Attention Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:31.745010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027ecf58-c13e-4f29-8161-5908859e5bbc · outbound

This paper cites https://github.com/pyg-team/pytorch_geometric/blob/master/torch_ geometric/nn/conv/gat_conv.py.

A simple DNN regression for the chemical composition in essential oil https://github.com/pyg-team/pytorch_geometric/blob/master/torch_ geometric/nn/conv/gat_conv.py

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.107919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06cf9893-134c-45a4-a129-aaf7f1d7ddb4 · outbound

This paper cites Superscent—a database of flavors and scents.

A simple DNN regression for the chemical composition in essential oil Superscent—a database of flavors and scents

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.092084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba309450-e14a-464b-a98a-f39400322b69 · outbound

This paper cites Plant volatile-mediated signalling and its application in agriculture: successes and challenges.

A simple DNN regression for the chemical composition in essential oil Plant volatile-mediated signalling and its application in agriculture: successes and challenges

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.075785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b15b71a9-235f-40d1-af2c-8e8be3c84ad4 · outbound

This paper cites Aromadb: a database of medicinal and aromatic plant’s aroma molecules with phytochemistry and therapeutic potentials.

A simple DNN regression for the chemical composition in essential oil Aromadb: a database of medicinal and aromatic plant’s aroma molecules with phytochemistry and therapeutic potentials

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.059986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46baaa73-898a-4853-816f-c3054748a01b · outbound

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

A simple DNN regression for the chemical composition in essential oil Reoptimization of mdl keys for use in drug discovery

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.043478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8880757-4ba8-40d9-96f5-4620f95fe5cd · outbound

This paper cites Extended-connectivity fingerprints.

A simple DNN regression for the chemical composition in essential oil Extended-connectivity fingerprints

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:31.775623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae14e19f-9f89-4aab-89fa-f3ea0b4aed2f · outbound

This paper cites Qsar- how good is it in practice? comparison of descriptor sets on an unbiased cross section of corporate data sets.

A simple DNN regression for the chemical composition in essential oil Qsar- how good is it in practice? comparison of descriptor sets on an unbiased cross section of corporate data sets

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:32.015976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5efc03d6-ca33-4036-abc8-d754efe9772b · outbound

This paper cites https://www.rdkit.org.

A simple DNN regression for the chemical composition in essential oil https://www.rdkit.org

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:31.786165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c7c3d1e-738b-477d-a46a-b2b9b9347456 · outbound

This paper cites Olfactory Label Prediction on Aroma-Chemical Pairs.

A simple DNN regression for the chemical composition in essential oil Olfactory Label Prediction on Aroma-Chemical Pairs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:31.790908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b6845fd-65ec-462a-8bfe-3117c1def992 · outbound

This paper cites an unresolved cited work.

A simple DNN regression for the chemical composition in essential oil Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:37:31.987582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d168fb0-cb05-4375-9df2-4d61d9958815 · outbound

This paper cites Pyrfume: A window to the world’s olfactory data.

A simple DNN regression for the chemical composition in essential oil Pyrfume: A window to the world’s olfactory data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:31.971759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67d62551-8352-4f96-80ee-b80b5f351e52 · outbound

This paper cites https://github.com/pyrfume.

A simple DNN regression for the chemical composition in essential oil https://github.com/pyrfume

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:31.954748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 926942f0-1014-4e86-9711-bf6d3047f4a9 · outbound

This paper cites Plants of the World Online, 2024.

A simple DNN regression for the chemical composition in essential oil Plants of the World Online, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:31.937666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bfc7fbbf-c8b6-477f-9d95-65abb174c1d6 · outbound

This paper cites https://github.com/yhua0917/ChemicalCompositionRegression/, 2024.

A simple DNN regression for the chemical composition in essential oil https://github.com/yhua0917/ChemicalCompositionRegression/, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:37:31.920620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.