Paper Citation Record · LEDGER

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.12269.

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

pith.paper-citation-record.v1
2608.12269 v1

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 83b3bba1-5574-46bf-b9ca-0f8a796ec4be · outbound

This paper cites Corruption perceptions index 2024 – ecuador,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Corruption perceptions index 2024 – ecuador,

Reference 1

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This paper cites Informe de Rendi- cion de Cuentas 2024,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Informe de Rendi- cion de Cuentas 2024,

Reference 2

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This paper cites Ecuador design report 2019– 2021,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Ecuador design report 2019– 2021,

Reference 3

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This paper cites Towards a methodology for analyzing pub- lic procurement data from kapak’s database,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Towards a methodology for analyzing pub- lic procurement data from kapak’s database,

Reference 4

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This paper cites Kapak: Transparency in Public Procurement – Methodology.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Kapak: Transparency in Public Procurement – Methodology

Reference 5

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This paper cites Deep learning based text classification: A comprehensive review,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Deep learning based text classification: A comprehensive review,

Reference 6

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This paper cites Senticnet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Senticnet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis,

Reference 7

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This paper cites Sentiment analysis and topic detection of spanish tweets: A comparative study of nlp techniques,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Sentiment analysis and topic detection of spanish tweets: A comparative study of nlp techniques,

Reference 8

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This paper cites Clustering of scientific articles using natural language processing,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Clustering of scientific articles using natural language processing,

Reference 9

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Observation 44e739e5-78ed-4e22-bff7-2dc55bcb9609 · outbound

This paper cites Cluster- ing scientific documents with topic modeling,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Cluster- ing scientific documents with topic modeling,

Reference 10

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Observation 758d2a63-fa66-40b7-ae8d-3aa9620b2e98 · outbound

This paper cites Smart citizen control of public procure- ment in ecuador: Classification of accusatory comments from “sistema oficial de contrataci´ on p´ ublica del ecuador (soce).

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Smart citizen control of public procure- ment in ecuador: Classification of accusatory comments from “sistema oficial de contrataci´ on p´ ublica del ecuador (soce)

Reference 11

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This paper cites Prediction of public procure- ment corruption indices using machine learning methods,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Prediction of public procure- ment corruption indices using machine learning methods,

Reference 12

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Observation bf665f7e-1f32-4857-80f0-ee4f0307eefd · outbound

This paper cites Generative ai for anti-corruption and integrity in government: Taking stock of promise, perils and practice,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Generative ai for anti-corruption and integrity in government: Taking stock of promise, perils and practice,

Reference 13

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Observation c14f82dd-8035-4420-951e-b01fc9e77274 · outbound

This paper cites A machine learning model to identify corruption in M\'exico's public procurement contracts.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement A machine learning model to identify corruption in M\'exico's public procurement contracts

Reference 14

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This paper cites Survey article: Inter-coder agree- ment for computational linguistics,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Survey article: Inter-coder agree- ment for computational linguistics,

Reference 15

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This paper cites A review on word embedding tech- niques for text classification,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement A review on word embedding tech- niques for text classification,

Reference 16

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This paper cites Llama 3.2-1b.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Llama 3.2-1b

Reference 17

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This paper cites Roberta: A robustly optimized bert pretraining approach,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Roberta: A robustly optimized bert pretraining approach,

Reference 18

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This paper cites Syntactic-aware text classifi- cation method embedding the weight vectors of feature words,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Syntactic-aware text classifi- cation method embedding the weight vectors of feature words,

Reference 19

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning

Reference 20

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This paper cites Research on patent text classifi- cation based on word2vec and lstm,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Research on patent text classifi- cation based on word2vec and lstm,

Reference 21

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Support vector machines and word2vec for text classification with semantic features,

Reference 22

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This paper cites Detection of fraud in public procurement using data-driven methods: a systematic mapping study,.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Detection of fraud in public procurement using data-driven methods: a systematic mapping study,

Reference 23

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Sentence-bert: Sentence embed- dings using siamese bert-networks,

Reference 24

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Least squares quantization in pcm,

Reference 25

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Gaussian mixture models — scikit-learn 1.4.2 documentation

Reference 26

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Ebk-means: A clustering tech- nique based on elbow method and k-means in wsn,

Reference 27

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Silhouettes: A graphical aid to the interpre- tation and validation of cluster analysis,

Reference 28

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Word embedding based clustering to detect topics in social media,

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Smote: Synthetic minority over-sampling technique,

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Stratifiedkfold — scikit-learn 1.6.1 documentation,

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Random forests,

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Comparison between multinomial and bernoulli na¨ ıve bayes for text classifi- cation,

Reference 33

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Text classification based on multi-word with support vector machine,

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Influence of various text embeddings on clustering performance in NLP

Reference 35

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Glove word embedding and dbscan algorithms for semantic document clustering,

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Beyond words: A comparative analysis of llm embeddings for effective clustering,

Reference 38

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Text clustering with large language model embeddings,

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement On the sentence embeddings from pre-trained language models,

Reference 40

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement SGPT: GPT Sentence Embeddings for Semantic Search

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A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 42

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Pith citing papers

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