Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:14:32.495983Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:14:32.495983Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 83b3bba1-5574-46bf-b9ca-0f8a796ec4be · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Corruption perceptions index 2024 – ecuador,
Reference 1
Source-reported events for the cited work
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Observation 56db6b28-4d22-4b33-8935-ab57a2ba7e20 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Informe de Rendi- cion de Cuentas 2024,
Reference 2
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.
Observation cc3a77d4-1113-4aa1-9e3f-449e4671d0e5 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Ecuador design report 2019– 2021,
Reference 3
Source-reported events for the cited work
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Observation 78b971df-20ab-4281-925f-0736938158b5 · outbound
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
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.
Observation 049e5f13-cb5a-4c83-8dcf-84d283cd541d · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Kapak: Transparency in Public Procurement – Methodology
Reference 5
Source-reported events for the cited work
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Observation 03233528-c3eb-4cbb-ad54-af19d95ef7a4 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Deep learning based text classification: A comprehensive review,
Reference 6
Source-reported events for the cited work
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Observation d039d670-2793-4462-8aa2-25763045492b · outbound
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
Source-reported events for the cited work
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Observation cbe3e02d-c936-4f62-a738-f030914c8edd · outbound
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
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.
Observation 60368cbb-0ea7-4e5c-961d-08beb675a4f7 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Clustering of scientific articles using natural language processing,
Reference 9
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.
Observation 44e739e5-78ed-4e22-bff7-2dc55bcb9609 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Cluster- ing scientific documents with topic modeling,
Reference 10
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.
Observation 758d2a63-fa66-40b7-ae8d-3aa9620b2e98 · outbound
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
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.
Observation 76e1f738-e05a-4535-9416-97ed67eb608e · outbound
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
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.
Observation bf665f7e-1f32-4857-80f0-ee4f0307eefd · outbound
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
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.
Observation c14f82dd-8035-4420-951e-b01fc9e77274 · outbound
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
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.
Observation 44fe8c61-0d97-45a9-89da-83ac70b7f160 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Survey article: Inter-coder agree- ment for computational linguistics,
Reference 15
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.
Observation e4e2081e-4998-4c1e-ba92-ba47a61868d8 · outbound
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
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.
Observation 45f2632f-e379-427b-88a3-2829d541a1a9 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Llama 3.2-1b
Reference 17
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.
Observation 6b8f91a3-d1e3-4904-ba43-08d5595571cc · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Roberta: A robustly optimized bert pretraining approach,
Reference 18
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.
Observation e7da2e7a-cfaa-424b-8198-8a7bd1984903 · outbound
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
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.
Observation 2303287b-6965-43e5-a6e7-6228f3b8921e · outbound
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
Source-reported events for the cited work
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Observation 3014ccbb-ca76-4588-ba30-57b6b27365be · outbound
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
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.
Observation fc6ff4aa-a545-4159-80ba-c901becd42a0 · outbound
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
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.
Observation 67d104cb-6131-47d8-97c1-f699bcad6e7f · outbound
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
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.
Observation 5b4767ea-9633-4223-9680-37dae7f83811 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Sentence-bert: Sentence embed- dings using siamese bert-networks,
Reference 24
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.
Observation 629f67c6-e279-4c4c-9db9-2d0c9b99ad9c · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Least squares quantization in pcm,
Reference 25
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.
Observation ecc141e5-4f0a-4fe7-b5c9-bdd01bcc754a · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Gaussian mixture models — scikit-learn 1.4.2 documentation
Reference 26
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.
Observation 5da3ea14-16b6-493f-9a63-bb24353d55e1 · outbound
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
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.
Observation 481928f8-f52e-4dc5-a7b7-34b197363541 · outbound
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
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.
Observation 3b45e90d-7002-4086-bdac-ce0b6410d69c · outbound
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
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.
Observation 7593f1b9-7c4a-470c-aeaa-28b125bf07f3 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Smote: Synthetic minority over-sampling technique,
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4afcf9e-9a05-4e6d-b32a-8f3e71be56f2 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Stratifiedkfold — scikit-learn 1.6.1 documentation,
Reference 31
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.
Observation 86bbe226-0872-4445-8e3e-734cb146f0a9 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Random forests,
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aee370bd-71f9-4558-8e47-dd63bdbae060 · outbound
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
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.
Observation 0cc8d099-34d1-41fa-9fdf-1f62eef2a05a · outbound
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
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.
Observation 40b64aff-c05c-4008-934a-d8f691770243 · outbound
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
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.
Observation 27442053-e835-49b3-8f93-2c36c2c6c58c · outbound
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
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.
Observation a8fd20e6-339d-4fdb-8808-8ef58c35fce4 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56556cd4-a214-464a-95c5-e5a36f9193d3 · outbound
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
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.
Observation 6c2def6e-564f-4ad6-8b01-bb204da83836 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Text clustering with large language model embeddings,
Reference 39
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.
Observation 170247b7-f926-43b1-ac49-0179c05c20f8 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement On the sentence embeddings from pre-trained language models,
Reference 40
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.
Observation 6dbcc057-de8f-4547-8128-c1ccb812ebf9 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement SGPT: GPT Sentence Embeddings for Semantic Search
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc30bb81-5553-4def-8b27-e6403cad9ed3 · outbound
A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.