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Paper Citation Record · LEDGER

Olfactory Label Prediction on Aroma-Chemical Pairs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.16124.

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

pith.paper-citation-record.v1
2312.16124 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:37:31.790908Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:41:15.077156Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

A simple DNN regression for the chemical composition in essential oil cites this paper.

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.

source=pdf_text observed=2026-08-11T13:37:31.790908Z digest=sha256:f2c7f093c8a9d1b7b645d1504f30d8e88233ca0819f719cd345013516ec38e15

Observation 62753f38-f7fa-494d-8e7e-dccf3267a0e1 · inbound

From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases cites this paper.

From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases Olfactory Label Prediction on Aroma-Chemical Pairs

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:41:15.080779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T13:41:14.553387Z digest=sha256:870ac82bc0550714c2ebe26286389c5702034f4226f1fb421e4e6c3ba5fdd1c3