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Paper Citation Record · LEDGER

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.22512.

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

pith.paper-citation-record.v1
2607.22512 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:34:16.670454Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 0126c928-5f90-4678-b0fb-81eee2ff91dd · outbound

This paper cites rep., CEN, Brussels, Belgium (2011).

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset rep., CEN, Brussels, Belgium (2011)

Reference 1

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 2

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Observation dc847ee1-5b30-4833-b505-b91f83770dea · outbound

This paper cites Tsivilis, G.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Tsivilis, G

Reference 3

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Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 4

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This paper cites Abdul, C.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Abdul, C

Reference 5

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 6

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 7

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Observation 1eaa8fc9-dbc1-48c6-b056-eda2f9ab26a1 · outbound

This paper cites Ben Chaabene, M.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Ben Chaabene, M

Reference 8

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 9

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This paper cites rep., CEN, Brussels, Belgium (2013).

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset rep., CEN, Brussels, Belgium (2013)

Reference 10

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This paper cites Hanein, F.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Hanein, F

Reference 12

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 13

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Observation db203aae-bada-4e1d-8aff-fbab91dff4e2 · outbound

This paper cites Gobbo, L.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Gobbo, L

Reference 14

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This paper cites Ichikawa, S.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Ichikawa, S

Reference 15

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This paper cites URLhttps://qwen.ai/blog?id=qwen3.5.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset URLhttps://qwen.ai/blog?id=qwen3.5

Reference 16

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This paper cites Rosin, E.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Rosin, E

Reference 17

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This paper cites Breiman, Random forests, Machine Learn- ing 45 (1) (2001) 5–32.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Breiman, Random forests, Machine Learn- ing 45 (1) (2001) 5–32

Reference 18

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Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 19

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 20

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Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 21

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This paper cites rep., CEN, Brussels, Belgium (2016).

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset rep., CEN, Brussels, Belgium (2016)

Reference 22

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 23

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This paper cites Frigione, S.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Frigione, S

Reference 24

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This paper cites Škvára, K.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Škvára, K

Reference 25

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 26

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This paper cites Enders, R.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Enders, R

Reference 27

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This paper cites Jawed, J.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Jawed, J

Reference 28

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 29

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 30

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This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 31

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This paper cites Odler, R.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Odler, R

Reference 32

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This paper cites Samet, S.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Samet, S

Reference 33

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This paper cites Lerch, The influence of gypsum on the hy- dration and properties of Portland cement pastes, Research Department Bulletin RX012, Portland Cement Association, Skokie, Illinois (1946).

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Lerch, The influence of gypsum on the hy- dration and properties of Portland cement pastes, Research Department Bulletin RX012, Portland Cement Association, Skokie, Illinois (1946)

Reference 34

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This paper cites Pourchet, L.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Pourchet, L

Reference 35

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Observation ce41ed2b-731e-4a86-b461-0dc207015bd3 · outbound

This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 36

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Observation 35acbb04-4200-4fb1-850b-da59cad62425 · outbound

This paper cites an unresolved cited work.

Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset Unresolved cited work

Reference 37

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