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Paper Citation Record · LEDGER

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

As of 17 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:14:32.495983Z

measured 42 of 42 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.

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

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

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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Observation 56db6b28-4d22-4b33-8935-ab57a2ba7e20 · outbound

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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Observation 78b971df-20ab-4281-925f-0736938158b5 · outbound

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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Observation 049e5f13-cb5a-4c83-8dcf-84d283cd541d · outbound

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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Observation 03233528-c3eb-4cbb-ad54-af19d95ef7a4 · outbound

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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Observation d039d670-2793-4462-8aa2-25763045492b · outbound

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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Source-reported events for the cited work

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Observation cbe3e02d-c936-4f62-a738-f030914c8edd · outbound

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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Observation 60368cbb-0ea7-4e5c-961d-08beb675a4f7 · outbound

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

Resolution
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Source-reported events for the cited work

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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

Resolution
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Source-reported events for the cited work

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Observation 76e1f738-e05a-4535-9416-97ed67eb608e · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Observation 44fe8c61-0d97-45a9-89da-83ac70b7f160 · outbound

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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Source-reported events for the cited work

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Observation e4e2081e-4998-4c1e-ba92-ba47a61868d8 · outbound

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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Observation 45f2632f-e379-427b-88a3-2829d541a1a9 · outbound

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

Resolution
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Source-reported events for the cited work

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Observation 6b8f91a3-d1e3-4904-ba43-08d5595571cc · outbound

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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Observation e7da2e7a-cfaa-424b-8198-8a7bd1984903 · outbound

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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Observation 2303287b-6965-43e5-a6e7-6228f3b8921e · outbound

This paper cites Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning.

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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Observation 3014ccbb-ca76-4588-ba30-57b6b27365be · outbound

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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Observation fc6ff4aa-a545-4159-80ba-c901becd42a0 · outbound

This paper cites Support vector machines and word2vec for text classification with semantic features,.

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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Observation 67d104cb-6131-47d8-97c1-f699bcad6e7f · outbound

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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Observation 5b4767ea-9633-4223-9680-37dae7f83811 · outbound

This paper cites Sentence-bert: Sentence embed- dings using siamese bert-networks,.

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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Observation ecc141e5-4f0a-4fe7-b5c9-bdd01bcc754a · outbound

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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

Resolution
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Observation 481928f8-f52e-4dc5-a7b7-34b197363541 · outbound

This paper cites Silhouettes: A graphical aid to the interpre- tation and validation of cluster analysis,.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3b45e90d-7002-4086-bdac-ce0b6410d69c · outbound

This paper cites Word embedding based clustering to detect topics in social media,.

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

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 7593f1b9-7c4a-470c-aeaa-28b125bf07f3 · outbound

This paper cites Smote: Synthetic minority over-sampling technique,.

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

Reference 30

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Observation b4afcf9e-9a05-4e6d-b32a-8f3e71be56f2 · outbound

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

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 86bbe226-0872-4445-8e3e-734cb146f0a9 · outbound

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

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aee370bd-71f9-4558-8e47-dd63bdbae060 · outbound

This paper cites Comparison between multinomial and bernoulli na¨ ıve bayes for text classifi- cation,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:14:32.760933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0cc8d099-34d1-41fa-9fdf-1f62eef2a05a · outbound

This paper cites Text classification based on multi-word with support vector machine,.

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

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:14:32.740500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 40b64aff-c05c-4008-934a-d8f691770243 · outbound

This paper cites Influence of various text embeddings on clustering performance in NLP.

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

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:14:32.610874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 27442053-e835-49b3-8f93-2c36c2c6c58c · outbound

This paper cites Glove word embedding and dbscan algorithms for semantic document clustering,.

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

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:14:32.719966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:14:32.460871Z digest=sha256:238220c73182c7ebeb0397e83574edbde4df416618029f08aa5f6a7a71f0bc77

Observation a8fd20e6-339d-4fdb-8808-8ef58c35fce4 · outbound

This paper cites Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect.

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

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:14:32.464917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 56556cd4-a214-464a-95c5-e5a36f9193d3 · outbound

This paper cites Beyond words: A comparative analysis of llm embeddings for effective clustering,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:14:32.704166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:14:32.472012Z digest=sha256:da6ca7ad541bf02d7db395c7e4fb22bc27e5eca17419775fb48bd3da91aa271d

Observation 6c2def6e-564f-4ad6-8b01-bb204da83836 · outbound

This paper cites Text clustering with large language model embeddings,.

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

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:14:32.687909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:14:32.479621Z digest=sha256:8d62ee8483bb72095b7710e8d8be00a551ca82ac072b01f4eedf9c3d9e07a9c1

Observation 170247b7-f926-43b1-ac49-0179c05c20f8 · outbound

This paper cites On the sentence embeddings from pre-trained language models,.

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

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:14:32.671471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:14:32.484918Z digest=sha256:c4af6ec8eccd4ed2f77d67db91da3ac6e566bfc489c4b5daa64162c8a89d9a04

Observation 6dbcc057-de8f-4547-8128-c1ccb812ebf9 · outbound

This paper cites SGPT: GPT Sentence Embeddings for Semantic Search.

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

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T00:14:32.490894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:14:32.490894Z digest=sha256:207c0fbbffc70902b032d24cd36dbf45401811d66fb53e1b88200329a5086005

Observation fc30bb81-5553-4def-8b27-e6403cad9ed3 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

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

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T00:14:32.495983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.