Paper Citation Record · LEDGER

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.12962.

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

pith.paper-citation-record.v1
2412.12962 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:36:46.138319Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy23
unresolved5
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75b0fa98-0513-4794-98d9-8fba39a31219 · outbound

This paper cites L.; Prausnitz, J.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning L.; Prausnitz, J

Reference 1

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Observation c74e923c-06bf-466c-b210-9c0a21a5b92f · outbound

This paper cites UNIFAC parameter table for prediction of liquid-liquid equilibriums.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning UNIFAC parameter table for prediction of liquid-liquid equilibriums

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.720370Z

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Observation cb25ab7f-c243-4e03-92a2-ada936509c16 · outbound

This paper cites Vapor - Liquid Equilibria by UNIFAC Group Contribution.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Vapor - Liquid Equilibria by UNIFAC Group Contribution

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.708132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9511868-0f12-46b3-92fe-bfaa480c8022 · outbound

This paper cites 2023; http://www.unifac.org.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning 2023; http://www.unifac.org

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.694772Z

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Observation ce0fdbdc-6eca-4cad-9748-90ceb4647f13 · outbound

This paper cites Further Development of Modified UNIFAC (Dortmund): Revision and Extension 6.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Further Development of Modified UNIFAC (Dortmund): Revision and Extension 6

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.677941Z

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Observation 4db01988-b5df-4adc-8d16-199442f29cc9 · outbound

This paper cites 2024; www.ddbst.com.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning 2024; www.ddbst.com

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.664215Z

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Observation 7386538f-6526-42e2-a134-e44ea24b0c91 · outbound

This paper cites CHEMCAD V.8.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning CHEMCAD V.8

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.649940Z

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Observation 1b90b8e4-2cda-441f-b65d-0c076b63e43e · outbound

This paper cites Aspen Plus V14.5.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Aspen Plus V14.5

Reference 8

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Observation bdc06846-5722-4338-abf1-535f682ad469 · outbound

This paper cites Ramlatchan ; M.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Ramlatchan ; M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.619880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 974401a1-67fa-447e-a2ca-17c5f4f405a6 · outbound

This paper cites Matrix Factorization Techniques for Recommender Systems.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Matrix Factorization Techniques for Recommender Systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.607621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 69796205-163a-42a0-9c6c-12f85d4a39e7 · outbound

This paper cites Hybridizing physical and data-driven prediction methods for physicochemical properties.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Hybridizing physical and data-driven prediction methods for physicochemical properties

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.593911Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a5591a2-ba08-4d44-a23f-b41d23c26c8d · outbound

This paper cites an unresolved cited work.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:36:46.580513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a601f22-a9b9-43a3-b6cc-4695543e56bc · outbound

This paper cites Predicting Activity Coefficients at Infinite Dilution for Varying Temperatures by Matrix Completion.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Predicting Activity Coefficients at Infinite Dilution for Varying Temperatures by Matrix Completion

Reference 13

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Source-reported events for the cited work

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Observation b69206fd-576e-46bb-8fd5-b08915b21a73 · outbound

This paper cites Prediction of Henry's law constants by matrix completion.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Prediction of Henry's law constants by matrix completion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.559657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c5338cd-192a-4491-a15f-cfa30389c304 · outbound

This paper cites Database for liquid phase diffusion coefficients at infinite dilution at 298 K and matrix completion methods for their prediction.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Database for liquid phase diffusion coefficients at infinite dilution at 298 K and matrix completion methods for their prediction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.547190Z

Source-reported events for the cited work

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Observation d67fe60d-5717-447e-9006-2f293c4e262e · outbound

This paper cites Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.528264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9ee5134-021f-47e9-8176-60ad173d4421 · outbound

This paper cites Prediction of parameters of group contribution models of mixtures by matrix completion.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Prediction of parameters of group contribution models of mixtures by matrix completion

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.516612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a67dae40-3a6f-4829-b835-9932b5d2d5df · outbound

This paper cites Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0.

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

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This paper cites 2023; www.ddbst.com.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning 2023; www.ddbst.com

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.504241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ab1930da-f9d9-4a49-b440-eb22d983ded7 · outbound

This paper cites an unresolved cited work.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:36:46.490864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ddb36a0d-58a5-45df-8611-439e827345cb · outbound

This paper cites A modified UNIFAC model.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning A modified UNIFAC model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.477769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2edfcf0a-2625-400c-8b0c-f7298c1a3a50 · outbound

This paper cites A modified UNIFAC model.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning A modified UNIFAC model

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.464387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c858ac8-0c71-418d-96df-d49052394d6f · outbound

This paper cites P.; Jankowiak, M.; Obermeyer, F.; Pradhan, N.; Karaletsos, T.; Singh, R.; Szerlip, Paul and Horsfall, Paul ; Goodman, N.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning P.; Jankowiak, M.; Obermeyer, F.; Pradhan, N.; Karaletsos, T.; Singh, R.; Szerlip, Paul and Horsfall, Paul ; Goodman, N

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.452098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2dc49aaa-ab72-4534-b0f0-75d4950f7bbd · outbound

This paper cites M.; Kucukelbir, A.; McAuliffe, J.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning M.; Kucukelbir, A.; McAuliffe, J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.438303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3280fba4-a73b-479b-bb9d-f374ef5291ab · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Adam: A Method for Stochastic Optimization

Reference 25

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Source-reported events for the cited work

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Observation 6bd8e76e-e054-4863-8093-dff03828e024 · outbound

This paper cites Conductor-like Screening Model for Real Solvents: A New Approach to the Quantitative Calculation of Solvation Phenomena.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning Conductor-like Screening Model for Real Solvents: A New Approach to the Quantitative Calculation of Solvation Phenomena

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.425517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5bcd347b-2c57-4c80-87cd-16b7fd360433 · outbound

This paper cites COSMO-RS: a novel and efficient method for the a priori prediction of thermophysical data of liquids.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning COSMO-RS: a novel and efficient method for the a priori prediction of thermophysical data of liquids

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:46.123634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dceea67-4cb1-4c97-b4fa-d357bc6e09be · outbound

This paper cites COSMO-RS: From quantum chemistry to fluid phase thermodynamics and drug design, 1st ed.; Elsevier: Amsterdam, 2005.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning COSMO-RS: From quantum chemistry to fluid phase thermodynamics and drug design, 1st ed.; Elsevier: Amsterdam, 2005

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.404296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ee97892-694b-4ead-ac60-2e9fa10a356a · outbound

This paper cites mod. UNIFAC 2.0 only.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning mod. UNIFAC 2.0 only

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:46.391230Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e6a04fc-911e-4005-99ab-e5c8a9cb0ea0 · outbound

This paper cites H`R ,.e.

Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning H`R ,.e

Reference 30

Resolution: malformed identifier; no resolver link, observed 2026-08-11T13:36:46.138319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.