Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:08:35.409536Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.04993.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:08:35.409536Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4ac47db7-74a7-4b82-8022-9ed6fa4398b0 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Approaches to Measure Chemical Similarity -- a Review
Reference 1
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Similarity searching
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work
Reference 3
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors A.; Verducci, J
Reference 4
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations? Journal of Cheminformatics 2015, 7, 20
Reference 5
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors W.; Willett, P
Reference 6
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Conductor-like Screening Model for Real Solvents: A New Approach to the Quantitative Calculation of Solvation Phenomena
Reference 7
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Observation d84881a5-3e73-4a30-b17b-d00c7a8fb3ff · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors COSMOsim3D: 3D-similarity and alignment based on COSMO polarization charge densities
Reference 8
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Observation 20835837-2fd7-4a03-8531-3e3c4fd9949e · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work
Reference 9
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Model Performances Evaluated for Infinite Dilution Activity Coefficients Prediction at 298.15 K
Reference 10
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors 2023; www.ddbst.com
Reference 11
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Observation 5a97433e-1c4d-4b95-ba8a-c029f5af8bf8 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work
Reference 12
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Observation 90335eae-8a0a-4400-afd2-8346380937a3 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Measuring methods of infinite dilution activity coefficients and a database for systems including water
Reference 13
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Observation 1bcce79f-dd2e-4f8e-8d82-5f36892a0a61 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors L.; Prausnitz, J
Reference 14
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Observation 7b36eabd-e8d0-49db-88dd-e3100cd5a03e · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Vapor - Liquid Equilibria by UNIFAC Group Contribution
Reference 15
Source-reported events for the cited work
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Observation 7d800856-98f9-4291-a131-49aaac0c6c1e · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors A modified UNIFAC model
Reference 16
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Observation 2f968921-d7f6-4e3d-bae2-cf38f901f97e · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Further Development of Modified UNIFAC (Dortmund): Revision and Extension 6
Reference 17
Source-reported events for the cited work
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Observation 26a12864-ea0c-482d-b6cd-c4989f754a25 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors COSMO-RS: a novel and efficient method for the a priori prediction of thermophysical data of liquids
Reference 18
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Observation 19675a96-0ab7-4e00-95b3-7bf67790ba19 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors COSMO-RS: From quantum chemistry to fluid phase thermodynamics and drug design, 1st ed.; Elsevier: Amsterdam, 2005
Reference 19
Source-reported events for the cited work
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Observation c5052524-ba0e-4c6b-ace5-ca936dd9cbf4 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work
Reference 20
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors I.; Lin, S.-T
Reference 21
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Considering the dispersive interactions in the COSMO-SAC model for more accurate predictions of fluid phase behavior
Reference 22
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Perspective: Machine Learning of Thermophysical Properties
Reference 23
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Observation 4aab4aa1-b3e2-4a78-a788-4650c6227c4b · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures
Reference 24
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors I.; Linke, S.; Stoll, M.; Sundmacher, K
Reference 25
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors A smile is all you need: predicting limiting activity coefficients from SMILES with natural language processing
Reference 26
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Observation dfc2c8b2-026e-4b0a-834c-619ec43fa790 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work
Reference 27
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Observation 6f6f554d-bd4c-4898-9113-90a4fc9f1200 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Hybridizing physical and data-driven prediction methods for physicochemical properties
Reference 28
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Observation b3f8d79b-657d-4e8c-8c89-46b31858317e · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Predicting Activity Coefficients at Infinite Dilution for Varying Temperatures by Matrix Completion
Reference 29
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients
Reference 30
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Prediction of parameters of group contribution models of mixtures by matrix completion
Reference 31
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors G.; Felton, K
Reference 32
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
Reference 33
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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
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors H.; Mickoleit, E.; Hsieh, C.-M.; Lin, S.-T.; Vrabec, J.; Breitkopf, C.; J \"a ger, A
Reference 35
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Observation 49e44e28-eb63-4a39-83dd-af55ffb61fc0 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work
Reference 36
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors MATLAB version: 9.13.0 (R2022b)
Reference 37
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Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures
Reference 38
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Observation 098d29c9-7376-43fc-af5b-cc9f8606a694 · outbound
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Y p X_ 5eFҸU`'z xۥE4]IPyi +^פ doX 2ؤ꽀 g(?w ،Ue #x誯+Sߤ/ ӗ+ ;/ |# ^e k !z o9 ]ȟl
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.