Paper Citation Record · LEDGER

Enhancing Project Performance Forecasting using Machine Learning Techniques

As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2411.17914.

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

pith.paper-citation-record.v1
2411.17914 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:44:55.083642Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:57:33.584531Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T23:57:33.662073Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy16
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b18eb24b-f5bd-4d78-a3cf-34b58e19c194 · outbound

This paper cites Kerzner, Project management metrics, KPIs, and dashboards: a guide to measuring and monitoring project performance.

Enhancing Project Performance Forecasting using Machine Learning Techniques Kerzner, Project management metrics, KPIs, and dashboards: a guide to measuring and monitoring project performance

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.340774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71b94a3c-b98b-42fe-88e4-8f324b6c8edf · outbound

This paper cites AI in project management: exploring theoretical models for decision -making and risk management,.

Enhancing Project Performance Forecasting using Machine Learning Techniques AI in project management: exploring theoretical models for decision -making and risk management,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.325651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9574815-e80f-4650-b0b3-94507a4dcda2 · outbound

This paper cites Using Monte Carlo simulation to evaluate performance of forecasting models in project control,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Using Monte Carlo simulation to evaluate performance of forecasting models in project control,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.311038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4118a185-0612-4d64-9ad0-9ab172f9ecfa · outbound

This paper cites Integrating machine learning and network analytics to model project cost, time and quality performance,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Integrating machine learning and network analytics to model project cost, time and quality performance,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.296939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ea25f95-6236-46fb-9e4e-b19779d391e5 · outbound

This paper cites Presenting a hybrid scheme of machine learning combined with metaheuristic optimizers for predicting final cost and time of project,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Presenting a hybrid scheme of machine learning combined with metaheuristic optimizers for predicting final cost and time of project,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.282869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28a88964-373d-4a3e-bc1a-90ff66b231e8 · outbound

This paper cites Vanhoucke, Measuring time: Improving project performance using earned value management (Vol.

Enhancing Project Performance Forecasting using Machine Learning Techniques Vanhoucke, Measuring time: Improving project performance using earned value management (Vol

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.268343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c866dfd2-830b-4876-b4fd-f650a1ff501f · outbound

This paper cites Measuring the impact of scope changes on project plan using EVM,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Measuring the impact of scope changes on project plan using EVM,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.254638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51758a9d-8346-4782-a56c-40854bcd6135 · outbound

This paper cites The application of artificial intelligence in project management research: A review,.

Enhancing Project Performance Forecasting using Machine Learning Techniques The application of artificial intelligence in project management research: A review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.240738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2bc2490-b4c2-4ff7-b8d4-021888b5b94b · outbound

This paper cites Exploring the challenges and impacts of artificial intelligence implementation in project management: A systematic literature review,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Exploring the challenges and impacts of artificial intelligence implementation in project management: A systematic literature review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.226126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d1e0ea5-f263-4eaf-bf64-63d8aa493c6c · outbound

This paper cites A review on deep sequential models for forecasting time series data,.

Enhancing Project Performance Forecasting using Machine Learning Techniques A review on deep sequential models for forecasting time series data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.211453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bfba7003-7ca3-480b-852a-5f51a019e330 · outbound

This paper cites A comparison of ARIMA and LSTM in forecasting time series,.

Enhancing Project Performance Forecasting using Machine Learning Techniques A comparison of ARIMA and LSTM in forecasting time series,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.195914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c5ac3245-f249-4bd2-a618-8825393a5b55 · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Modeling long-and short-term temporal patterns with deep neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.180681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 54150c89-bfde-4d49-8322-a520288313ea · outbound

This paper cites Day -ahead solar irradiance forecasting for microgrids using a long short -term memory recurrent neural network: A deep learning approach,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Day -ahead solar irradiance forecasting for microgrids using a long short -term memory recurrent neural network: A deep learning approach,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.166148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 400a74fc-2c6c-4045-899f-294c58b60d01 · outbound

This paper cites System dynamics approach for forecasting performance of construction projects,.

Enhancing Project Performance Forecasting using Machine Learning Techniques System dynamics approach for forecasting performance of construction projects,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.151416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7bad98de-43ec-4295-8691-c2f106ac02e5 · outbound

This paper cites Work rate modeling of building construction projects using system dynamic to optimize project cost and time performance,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Work rate modeling of building construction projects using system dynamic to optimize project cost and time performance,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.137218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5909e8ec-8d32-4d62-98de-819c680048ab · outbound

This paper cites Developing a dataset of real projects for portfolio, program and project control management research,.

Enhancing Project Performance Forecasting using Machine Learning Techniques Developing a dataset of real projects for portfolio, program and project control management research,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:44:55.121043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 508b03ac-23c7-447c-8e6f-88cb7008487a · inbound

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques cites this paper.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Enhancing Project Performance Forecasting using Machine Learning Techniques

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:57:33.669207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.