Paper Citation Record · LEDGER

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques

As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.02041.

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

pith.paper-citation-record.v1
2412.02041 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:57:33.628280Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

18 of 18 outbound references displayed

verified exact1
verified fuzzy16
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8968bafe-1203-4554-8dab-0e2407e5377b · outbound

This paper cites Managing project scope creep in construction industry,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Managing project scope creep in construction industry,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.905221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9113899-33e4-4542-b6d6-cfdc873208fd · outbound

This paper cites Identifying stakeholders’ involvement that enhances project scope definition completeness in Saudi Arabian public building projects,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Identifying stakeholders’ involvement that enhances project scope definition completeness in Saudi Arabian public building projects,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.892592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23642c1f-05e6-47a5-b553-e3e36ad90375 · outbound

This paper cites Synthetic structure of industrial plastics (Book style with paper title and editor),.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Synthetic structure of industrial plastics (Book style with paper title and editor),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.879532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f8e3577-aa83-4ac9-a99b-b5e2ea082462 · outbound

This paper cites Agile project management challenge in handling scope and change: A systematic literature review,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Agile project management challenge in handling scope and change: A systematic literature review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.865867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5fb80ee3-9706-4887-abc8-33c50b0db1d7 · outbound

This paper cites Application of KDD techniques to extract useful knowledge from labor resources data in industrial construction projects,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Application of KDD techniques to extract useful knowledge from labor resources data in industrial construction projects,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.852071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8200fa8b-d348-4e73-8d4a-f45c5e68d747 · outbound

This paper cites Application of machine learning in project management,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Application of machine learning in project management,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.838351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a53d8c9-769d-4320-958f-1f20100ffded · outbound

This paper cites Budget allocation problem for projects with considering risks, robustness, resiliency, and sustainability requirements,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Budget allocation problem for projects with considering risks, robustness, resiliency, and sustainability requirements,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.824673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

This paper cites Enhancing Project Performance Forecasting using Machine Learning Techniques.

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 2026-08-12T06:34:41.77262+00:00.

Observation 9f1500a8-3971-40cd-be2d-0e754e6e1b22 · outbound

This paper cites Reinventing construction: A route of higher productivity,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Reinventing construction: A route of higher productivity,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.810305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02c3b8e1-81a6-4529-a3e1-0b203ee31584 · outbound

This paper cites Interactions of building information modeling, lean and sustainability on the architectural, engineering and construction industry: a systematic review,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Interactions of building information modeling, lean and sustainability on the architectural, engineering and construction industry: a systematic review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.796825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c043ddfb-6968-4583-9cb0-cefe8c465400 · outbound

This paper cites How AI will transform project management,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques How AI will transform project management,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.783156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5c53575-3da2-4d76-82c4-0638ba72742f · outbound

This paper cites Investigating antecedents and drivers affecting the adoption of collaboration technologies in the construction industry,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Investigating antecedents and drivers affecting the adoption of collaboration technologies in the construction industry,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.769289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5c2adbc9-de8f-409f-8915-b71f16e115c0 · outbound

This paper cites Cloud computing in construction industry: Use cases, benefits and challenges,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Cloud computing in construction industry: Use cases, benefits and challenges,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.755837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0bf02fa-71f6-41bb-968b-bc049109e5f3 · outbound

This paper cites Digital Twins for the built environment: learning from conceptual and process models in manufacturing,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Digital Twins for the built environment: learning from conceptual and process models in manufacturing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.741578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53686624-afce-4fa9-a91d-187a699b1b2a · outbound

This paper cites A study of preproject planning and project success using ANNs and regression models,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques A study of preproject planning and project success using ANNs and regression models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.727497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 494c0959-62fb-4302-825c-384ddede6113 · outbound

This paper cites Employee Well -being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes,.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Employee Well -being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.713310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3f95d2e-9da6-4ec0-8985-43761da9a616 · outbound

This paper cites an unresolved cited work.

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:57:33.698282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0522b8c8-b43f-422d-b08b-092fadc8f981 · outbound

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

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques Developing a dataset of real projects for portfolio, program and project control management research,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:57:33.684201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.