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Paper Citation Record · LEDGER

MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.16473.

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

pith.paper-citation-record.v1
2312.16473 v1

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:41:14.630787Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:41:14.922407Z

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 dc4eebb3-0a28-4c40-ab21-8214caab31c8 · 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 MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:41:14.926804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T13:41:14.630787Z digest=sha256:f234df56f9ad2f26d33bd1b234cf9b28723d8a58ba3b3afc5380c0d3269ffc25

Observation 3ca4c350-84ba-49f2-9f1e-fcd3ac9a101c · inbound

Chem World: A Large-Scale Benchmark and Physics-Informed Framework for Trustworthy Chemical Property Prediction cites this paper.

Chem World: A Large-Scale Benchmark and Physics-Informed Framework for Trustworthy Chemical Property Prediction MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-31T18:32:18.125583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T18:32:18.125583Z digest=sha256:4a1ce3a2db304b4d6b17942963b5ead8504bf78c9ff0139e715144fc667efbfb