Paper Citation Record · LEDGER

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.11255.

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

pith.paper-citation-record.v1
2608.11255 v1

Coverage vector

measured 41 of 41 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-15T14:37:53.280544Z

measured 41 of 41 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

41 of 41 outbound references displayed

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verified fuzzy22
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External citation measurements

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Outbound references

Observation 64b7a51f-d94a-4ba9-bfda-5d22425bc626 · outbound

This paper cites Qiu and R.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Qiu and R

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.880970Z

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Observation 8212c1a6-45af-4788-89ec-a232a82bf13f · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.868085Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4dd772e5-c60a-4ad8-9e2a-c08ba0697268 · outbound

This paper cites A system- atic approach to high-fidelity modeling and efficient simulation of supercritical fluid mixing and combustion.Combustion and Flame, 196:364–375, 2018.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures A system- atic approach to high-fidelity modeling and efficient simulation of supercritical fluid mixing and combustion.Combustion and Flame, 196:364–375, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.854450Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 68bb7991-ce2f-4208-8e73-86ef011302f8 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.840716Z

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Observation 297d0020-4d09-40b6-bbb7-f283e00a5add · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.826813Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2a2258d-0a86-440c-b051-c1c3f7867159 · outbound

This paper cites Anewtwo-constantequationofstate.Industrial & Engineering Chemistry Fundamentals, 15:59–64, 1976.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Anewtwo-constantequationofstate.Industrial & Engineering Chemistry Fundamentals, 15:59–64, 1976

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.813733Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd986340-d10e-4911-b80a-fcdacd39e70f · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.799432Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7886567d-61c7-4fd7-b5c5-e5c8be93a3dc · outbound

This paper cites Privat and J.-N.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Privat and J.-N

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.785704Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1450940e-bd18-4004-8db5-c6793ea74c96 · outbound

This paper cites Privat, J.-N.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Privat, J.-N

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.772555Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97ab68fb-e046-4b4a-b1a7-60ffb2db9838 · outbound

This paper cites Privat, J.-N.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Privat, J.-N

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.758892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a14358b2-d6ec-42d0-8760-12cf3cc3f660 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.745150Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 087d04a6-5897-482b-95d4-816a395efb06 · outbound

This paper cites Mohammed, M.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Mohammed, M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.731696Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e814cd7-78da-4ada-9ab9-ea5e2e50939f · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.718379Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7c86acd0-c1d4-4f43-a809-b98a4b97c67d · outbound

This paper cites García-Sánchez, G.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures García-Sánchez, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.704960Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33a5c3ec-7ba8-465f-8724-4717d859ff3b · outbound

This paper cites Garcia-Cordova, D.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Garcia-Cordova, D

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.676078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4f2626cd-8770-4c16-9bba-bc6bdb202519 · outbound

This paper cites Azarnoosh and J.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Azarnoosh and J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.662162Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f3cc9c6c-0298-454d-9fcc-797335de8dea · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.649025Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation da051b31-3404-4c4b-ba43-f3996531f309 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.634888Z

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Observation 8699469c-697c-4f61-8d08-b9098f4b2500 · outbound

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Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.620530Z

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Observation 7dcb43d4-a576-4e6b-8080-6bae624b132a · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.606052Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0045111e-83ae-4296-acd6-31102a51600a · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.592822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9719fe3-15d9-49dd-88bb-8f4b5fbdf146 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.579128Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e82b145f-8d5b-4cc9-b6ae-10977602f47d · outbound

This paper cites Petersen, A.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Petersen, A

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.565117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2688d995-3450-46a4-ad07-ab1ff6d0ab6c · outbound

This paper cites Sharma, D.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Sharma, D

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.550941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2e3ec5d-055d-407a-8152-a62398593c52 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.536193Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7d7cd7c-91a0-4e2b-9e6b-a29a1215e504 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.522028Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e666852f-4c4c-41b9-8439-bc41c68dabfe · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.507261Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5fe9c921-7f1f-473f-87e3-4467ad4821f6 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.493426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f807e1c-ca81-43eb-9306-cc771c0e2e08 · outbound

This paper cites Ghanadzadeh and H.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Ghanadzadeh and H

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.479854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2e8789b-ff34-461a-85c6-5dccfa16a245 · outbound

This paper cites Abedini, I.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Abedini, I

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.465686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89020467-b077-4df8-b7bb-240069c613db · outbound

This paper cites Vapor–liquid equi- libriumestimationofn-alkane/nitrogenmixturesusingneuralnetworks.Journal of Computational and Applied Mathematics, 408:114059, 2022.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Vapor–liquid equi- libriumestimationofn-alkane/nitrogenmixturesusingneuralnetworks.Journal of Computational and Applied Mathematics, 408:114059, 2022

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.450736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 53e55e60-77dc-44d8-9fbf-415d9b4b7b31 · outbound

This paper cites Koza.Genetic Programming: On the Programming of Computers by Means of Natural Selection.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Koza.Genetic Programming: On the Programming of Computers by Means of Natural Selection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.436526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d60d0bd1-1c39-4e85-abb8-87cc0c8c8ab3 · outbound

This paper cites Distilling free-form natural laws from exper- imental data.Science, 324(5923):81–85, 2009.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Distilling free-form natural laws from exper- imental data.Science, 324(5923):81–85, 2009

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.422504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c6f5e7fa-8d0d-4841-8fc2-85ee68fe4e0d · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.407489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ad48ee1-b75a-43da-8296-0b55438ba56f · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:53.256346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e896ee-8943-40c1-afcf-36e2a6d06845 · outbound

This paper cites Avendaño-Gómez.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Avendaño-Gómez

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.391814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4960e91-eedf-4f8c-9eaa-bc6e26b78b5b · outbound

This paper cites High-pressure vapor–liquid equilibria in the nitrogen + n-hexane system.J.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures High-pressure vapor–liquid equilibria in the nitrogen + n-hexane system.J

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.377660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b6c472a-69e2-4560-aed8-12bcd2dce370 · outbound

This paper cites High-pressure (vapor + liquid) equilibria in the (nitrogen + n-heptane) system.J.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures High-pressure (vapor + liquid) equilibria in the (nitrogen + n-heptane) system.J

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.362833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 662f1127-eebf-418a-8cc8-02421c72326d · outbound

This paper cites High-pressure vapor–liquid equilibria in the nitrogen–n-nonane system.J.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures High-pressure vapor–liquid equilibria in the nitrogen–n-nonane system.J

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.348133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b4eedda-48c8-4986-b754-d549b6b9d524 · outbound

This paper cites Rumelhart, Geoffrey E.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Rumelhart, Geoffrey E

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:53.332142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72cee682-4d70-4acc-9ddc-f66579beb525 · outbound

This paper cites an unresolved cited work.

Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures Unresolved cited work

Reference 563

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:53.690066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.