Paper Citation Record · LEDGER

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2411.18141.

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

pith.paper-citation-record.v1
2411.18141 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:30:37.880500Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:22:35.603147Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T12:22:35.696439Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy26
unresolved5
parse uncertain1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0441e9b3-3726-4e1a-b59b-f2de1bb82990 · outbound

This paper cites Water Quality Research Journal 53(1), 3–13 (2018).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Water Quality Research Journal 53(1), 3–13 (2018)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.236646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 43488ab1-e9f4-4fff-beb0-3cc1579fd22c · outbound

This paper cites Journal of Hydrology 578, 124084 (2019).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Journal of Hydrology 578, 124084 (2019)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.228442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d365020c-7d2d-4b92-bb9d-29df4e126132 · outbound

This paper cites Eco- Environment & Health 1(2), 107–116 (2022).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Eco- Environment & Health 1(2), 107–116 (2022)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.220601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d7beea5c-3994-4498-ae75-79bed7afcbbd · outbound

This paper cites Journal of Hydrology 585, 124670 (2020).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Journal of Hydrology 585, 124670 (2020)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.212098Z

Source-reported events for the cited work

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Observation fb43197d-5e01-4683-91ec-170fa6a94f2a · outbound

This paper cites Modeling Earth Systems and Environment 8(2), 2793–2801 (2022).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Modeling Earth Systems and Environment 8(2), 2793–2801 (2022)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.203076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86a9d592-0a5e-4fde-adac-dd8c510eeb95 · outbound

This paper cites Journal of Cleaner Production 406, 136885 (2023).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Journal of Cleaner Production 406, 136885 (2023)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.193832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a090838c-7d4f-48ea-b415-96731e474d09 · outbound

This paper cites Water 14(19), 2939 (2022).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Water 14(19), 2939 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.185039Z

Source-reported events for the cited work

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Observation 4fb2dde1-8a64-4e33-9164-2b2c1014a981 · outbound

This paper cites Water 14(21), 3359 (2022) 11.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Water 14(21), 3359 (2022) 11

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.176056Z

Source-reported events for the cited work

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Observation d5846ee2-0728-4dc4-9c63-b7b71243a755 · outbound

This paper cites International Journal of Quantum Information 22(02), 2350044 (2024).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region International Journal of Quantum Information 22(02), 2350044 (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.165898Z

Source-reported events for the cited work

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Observation 5e094d79-ac3a-497c-b807-1ba7dd6b95e0 · outbound

This paper cites Quantum Machine Intelligence 6(1), 7 (2024).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Quantum Machine Intelligence 6(1), 7 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.156633Z

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Observation 71efa9e5-3263-4cc7-8865-24e9ccef9251 · outbound

This paper cites Unsupervised quantum machine learning for fraud detection.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Unsupervised quantum machine learning for fraud detection

Reference 11

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Source-reported events for the cited work

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Observation 41dec2d6-9ef0-4add-85c1-ce153b5d5968 · outbound

This paper cites IEEE Access 10, 75908–75917 (2022).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region IEEE Access 10, 75908–75917 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.147467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c1078fd-0fff-4e4d-9234-c22aae576ca6 · outbound

This paper cites Physical Review A 97(4), 042315 (2018).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Physical Review A 97(4), 042315 (2018)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.138484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3d61eb2-3506-4115-a6d0-87a3eb671b69 · outbound

This paper cites Journal of chemical information and modeling 61(6), 2641–2647 (2021).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Journal of chemical information and modeling 61(6), 2641–2647 (2021)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.129072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 044fbb00-98ad-4fd7-b934-0901f2352ff2 · outbound

This paper cites Machine Learning: Science and Technology 4(1), 015023 (2023).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Machine Learning: Science and Technology 4(1), 015023 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.119372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c04a8672-b137-4f23-83e2-1b9ee149d238 · outbound

This paper cites In: 2021 58th ACM/IEEE Design Automation Conference (DAC), pp.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region In: 2021 58th ACM/IEEE Design Automation Conference (DAC), pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.110458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 449bd524-352a-4b61-9323-354096130c32 · outbound

This paper cites Journal of Chemical Information and Modeling 63(21), 6476–6486 (2023).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Journal of Chemical Information and Modeling 63(21), 6476–6486 (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.101755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d46449db-6e7c-4347-b6d3-464a0381cf14 · outbound

This paper cites Physical Chemistry Chemical Physics 24(18), 10775–10783 (2022).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Physical Chemistry Chemical Physics 24(18), 10775–10783 (2022)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.092134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5efa1944-a6b3-42c3-8c87-98213d0e241b · outbound

This paper cites Handbook of Materials Modeling: Methods: Theory and Modeling, 1883–1909 (2020).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Handbook of Materials Modeling: Methods: Theory and Modeling, 1883–1909 (2020)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.081428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7f608df-ff96-4234-a72d-38f815a21fae · outbound

This paper cites Nature communications 9(1), 4195 (2018).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Nature communications 9(1), 4195 (2018)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.071650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c490cda5-7697-4158-9cba-d5d0cfb5c69e · outbound

This paper cites Electronic Structure Calculations using Quantum Computing.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Electronic Structure Calculations using Quantum Computing

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T11:30:37.968103Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eca229ea-f568-422f-ac65-04cb3765342b · outbound

This paper cites The Journal of Physical Chemistry Letters 14(31), 6940–6947 (2023).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region The Journal of Physical Chemistry Letters 14(31), 6940–6947 (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.062486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de0c0689-c859-4203-b7f7-0ec51e7aa8c4 · outbound

This paper cites Exploring Quantum Active Learning for Materials Design and Discovery.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Exploring Quantum Active Learning for Materials Design and Discovery

Reference 23

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Source-reported events for the cited work

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Observation 9b058e99-7164-49c2-97ed-077a18247425 · outbound

This paper cites Classification analysis of transition-metal chalcogenides and oxides using quantum machine learning.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Classification analysis of transition-metal chalcogenides and oxides using quantum machine learning

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T11:30:37.945616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 91345b81-8406-4ce8-ae6c-732c24cdc845 · outbound

This paper cites Springer, ??? (2018).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Springer, ??? (2018)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.051625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01d09bb5-53d5-4abc-b9cb-2ea7ddb5c8e8 · outbound

This paper cites an unresolved cited work.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:30:38.041311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e762fa93-2eaf-40cd-9299-167b8c99cff1 · outbound

This paper cites Durban’s Climate Gamble, 75–116 (2011).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Durban’s Climate Gamble, 75–116 (2011)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.025747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc1e90c3-4f09-419a-be06-ffbc73ee7ece · outbound

This paper cites Journal of Contemporary African Studies 37(4), 275–293 (2019).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Journal of Contemporary African Studies 37(4), 275–293 (2019)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.015859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c474e666-0118-4916-b2a3-40dfa9a57ef4 · outbound

This paper cites Mediterr.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Mediterr

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:38.005624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0fd369a0-932d-454f-8b3e-4bfdbda60513 · outbound

This paper cites Flood Prediction Using Classical and Quantum Machine Learning Models.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Flood Prediction Using Classical and Quantum Machine Learning Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T11:30:37.867747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6efcbcf9-ae44-4d75-8be5-e281a10c5756 · outbound

This paper cites Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T11:30:37.870904Z

Source-reported events for the cited work

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Observation c74dee20-84e5-47ef-ac9b-0d0c67d72f06 · outbound

This paper cites Journal of Computers and Intelligent Systems 3(1), 01–15 (2025).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Journal of Computers and Intelligent Systems 3(1), 01–15 (2025)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:37.995856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71bbf972-83e8-4aa6-b27a-22d0baa2e2e0 · outbound

This paper cites Computers 13(8), 191 (2024).

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Computers 13(8), 191 (2024)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:30:37.986701Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 720b08bf-12f6-43b7-826f-b30b0366d93a · outbound

This paper cites Cybercrime Prediction via Geographically Weighted Learning.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Cybercrime Prediction via Geographically Weighted Learning

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T11:30:37.914185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 265cf6e3-6fab-4b7e-84ca-1bc09f0d3583 · outbound

This paper cites an unresolved cited work.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Unresolved cited work

Reference 676

Resolution: parse uncertain; no resolver link, observed 2026-08-12T11:30:37.856011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3b11fd29-989d-4792-addf-5861dacab478 · inbound

QI-MPC: A Hybrid Quantum-Inspired Model Predictive Control for Learning Optimal Policies cites this paper.

QI-MPC: A Hybrid Quantum-Inspired Model Predictive Control for Learning Optimal Policies Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T12:22:35.701115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.