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Paper Citation Record · LEDGER

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors

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.

pith.paper-citation-record.v1
2412.04993 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:08:35.409536Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

39 of 39 outbound references displayed

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  • verified fuzzy20
  • unresolved18
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ac47db7-74a7-4b82-8022-9ed6fa4398b0 · outbound

This paper cites Approaches to Measure Chemical Similarity -- a Review.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3b23dc0e-82d1-4fee-b90f-0475b13da035 · outbound

This paper cites Similarity searching.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Similarity searching

Reference 2

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d458ca84-0df0-4b41-9de3-404d0fc75153 · outbound

This paper cites an unresolved cited work.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work

Reference 3

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Observation 827b9cd1-b960-4af8-a3e6-e2358e06383d · outbound

This paper cites A.; Verducci, J.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors A.; Verducci, J

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a9d8b781-a25e-4f25-8795-354ea1f40a4f · outbound

This paper cites Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations? Journal of Cheminformatics 2015, 7, 20.

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dd3a1588-d5bc-4c85-8b06-03e4aadbc89e · outbound

This paper cites W.; Willett, P.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors W.; Willett, P

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 35266a6a-9352-4be4-8cd6-084b39faf572 · outbound

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

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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Source-reported events for the cited work

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Observation d84881a5-3e73-4a30-b17b-d00c7a8fb3ff · outbound

This paper cites COSMOsim3D: 3D-similarity and alignment based on COSMO polarization charge densities.

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

This paper cites an unresolved cited work.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 56aa3db1-e761-4e98-8868-e2cef0f948ed · outbound

This paper cites Model Performances Evaluated for Infinite Dilution Activity Coefficients Prediction at 298.15 K.

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c9a14eab-b1f8-407c-b7c4-5e79a3878229 · outbound

This paper cites 2023; www.ddbst.com.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors 2023; www.ddbst.com

Reference 11

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5a97433e-1c4d-4b95-ba8a-c029f5af8bf8 · outbound

This paper cites an unresolved cited work.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 90335eae-8a0a-4400-afd2-8346380937a3 · outbound

This paper cites Measuring methods of infinite dilution activity coefficients and a database for systems including water.

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1bcce79f-dd2e-4f8e-8d82-5f36892a0a61 · outbound

This paper cites L.; Prausnitz, J.

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

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

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Vapor - Liquid Equilibria by UNIFAC Group Contribution

Reference 15

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Observation 7d800856-98f9-4291-a131-49aaac0c6c1e · outbound

This paper cites A modified UNIFAC model.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors A modified UNIFAC model

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f968921-d7f6-4e3d-bae2-cf38f901f97e · outbound

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

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Further Development of Modified UNIFAC (Dortmund): Revision and Extension 6

Reference 17

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Observation 26a12864-ea0c-482d-b6cd-c4989f754a25 · outbound

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

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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source=arxiv_source observed=2026-08-11T21:08:34.527198Z digest=sha256:bef7e4ecf569b99155b5bf7ee18bafd747a1fac20f45a8b7e79143404c7dde2a

Observation 19675a96-0ab7-4e00-95b3-7bf67790ba19 · outbound

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

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

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Observation c5052524-ba0e-4c6b-ace5-ca936dd9cbf4 · outbound

This paper cites an unresolved cited work.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 619a922c-9909-4359-85a8-3880ba1e749e · outbound

This paper cites I.; Lin, S.-T.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors I.; Lin, S.-T

Reference 21

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation aa77380c-789e-4aa1-bcbd-55c2be5a6ee0 · outbound

This paper cites Considering the dispersive interactions in the COSMO-SAC model for more accurate predictions of fluid phase behavior.

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6aa1622a-f640-4f36-a6ff-4a788fb0fd3e · outbound

This paper cites Perspective: Machine Learning of Thermophysical Properties.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Perspective: Machine Learning of Thermophysical Properties

Reference 23

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4aab4aa1-b3e2-4a78-a788-4650c6227c4b · outbound

This paper cites Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures.

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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Observation 950eb17e-97ac-4024-884a-2e85d44a3007 · outbound

This paper cites I.; Linke, S.; Stoll, M.; Sundmacher, K.

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e288fb33-4800-4943-be99-0b00127bee68 · outbound

This paper cites A smile is all you need: predicting limiting activity coefficients from SMILES with natural language processing.

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dfc2c8b2-026e-4b0a-834c-619ec43fa790 · outbound

This paper cites an unresolved cited work.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:08:34.817362Z digest=sha256:b10cd9befc83723e8765f65785fc256020a4c0884a6062331f27fd240ba0f3dd

Observation 6f6f554d-bd4c-4898-9113-90a4fc9f1200 · outbound

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

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:08:34.823806Z digest=sha256:8ca21a6b214e378f1c9726ff9bfd89f08e914ed1f59bc7db53c784ce888b9ae7

Observation b3f8d79b-657d-4e8c-8c89-46b31858317e · outbound

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

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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no resolver link, observed 2026-08-11T21:08:34.971903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:08:34.971903Z digest=sha256:6acff4276185f1d8db15c36e4277ed0f864a9176375e7dd4f9cefb0b33ed6630

Observation cf76dfd1-9679-4ba2-a254-9ebbff423d4f · outbound

This paper cites SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T21:08:35.073662Z digest=sha256:906090e12823b1dc43885dd35daf46ced6a6b754babb69b92aa0c892396ba368

Observation f7b6dd65-d2b2-472c-8223-aadce6e25620 · outbound

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

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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no resolver link, observed 2026-08-11T21:08:35.079885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:08:35.079885Z digest=sha256:47bb0227b6babffb2555ca13b29d4cff0cd848c8c6d53b5e4260c936318a1d38

Observation 1b1d1ee5-7228-45d1-97c1-ecb9d5c52b01 · outbound

This paper cites G.; Felton, K.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors G.; Felton, K

Reference 32

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raw_fallback, observed 2026-08-11T21:08:36.219803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T21:08:35.085456Z digest=sha256:762254939ce09b185517c935294f47103bc063c12967fbcfa3489d523bd14389

Observation 21286986-76ae-4a0f-8506-105837d977a2 · outbound

This paper cites HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T21:08:35.093277Z digest=sha256:5e6e1a69926ba00a1304eb40b2350e4b99157c9d9b6d81a0389c0fe9a305b0a9

Observation 55840971-8f05-4ac4-afdc-fb61b614a611 · outbound

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

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:08:35.263143Z digest=sha256:f47558c32c4ac1eeddf148b648b78d269d3162d30291a4b8c64c60035238e057

Observation 2dd908ea-e613-4f8a-b18e-3f8b54f6cb4c · outbound

This paper cites H.; Mickoleit, E.; Hsieh, C.-M.; Lin, S.-T.; Vrabec, J.; Breitkopf, C.; J \"a ger, A.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:08:36.132882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T21:08:35.269882Z digest=sha256:ff1b171dc482dee3e20eb4c8de5a23e859e947824bfe95565e766d458d2e7a0e

Observation 49e44e28-eb63-4a39-83dd-af55ffb61fc0 · outbound

This paper cites an unresolved cited work.

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:08:36.040347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T21:08:35.276829Z digest=sha256:f2b048e98248149acc288d1c134fc5d8b6dbdc907f7b9298db75c20168225d40

Observation 840afd63-5472-4508-9766-e3131609ea21 · outbound

This paper cites MATLAB version: 9.13.0 (R2022b).

Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors MATLAB version: 9.13.0 (R2022b)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:08:36.017012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T21:08:35.283645Z digest=sha256:87dab874a5adbf3608d81b464662dd929fb358cc82fcbffa9d922fdcb9fe045a

Observation 29e9a5c9-1888-4243-978b-77418bc135dc · outbound

This paper cites Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures.

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

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:08:35.873592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T21:08:35.288940Z digest=sha256:a49e1a74c679cde643c3d712cddfae623265eb873a354bab0f020b2bc55d8aae

Observation 098d29c9-7376-43fc-af5b-cc9f8606a694 · outbound

This paper cites Y p X_ 5eFҸU`'z xۥE4]IPyi +^פ doX 2ؤ꽀 g(?w ،Ue #x誯+Sߤ/ ӗ+ ;’/ |# ^e k !z o9 ]ȟl.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T21:08:35.409536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:08:35.409536Z digest=sha256:897158003ab644aeb4a04971034bc476110ff5ec780f3d49eb4124ce10462f74

Pith citing papers

No inbound Pith citation observations are available.