Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.05220.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:08:35.263143Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T13:36:46.369814Z
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 55840971-8f05-4ac4-afdc-fb61b614a611 · inbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors cites this paper.
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:08:35.263143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a67dae40-3a6f-4829-b835-9932b5d2d5df · inbound
Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning cites this paper.
Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T13:36:46.377035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.