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Paper Citation Record · LEDGER

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court

As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.08439.

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

pith.paper-citation-record.v1
2505.08439 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:40.826264Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

48 of 48 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11c4a7ed-830d-4998-9d6f-0edad6696ffd · outbound

This paper cites The elements of statistical learning: Data mining, inference, and prediction, 9–41 (2009).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court The elements of statistical learning: Data mining, inference, and prediction, 9–41 (2009)

Reference 1

Resolution
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Observation d04e31fc-d0fe-4a44-bd8f-cc27e00476cc · outbound

This paper cites In: 2018 Federated Conference on Computer Science and Information Systems (FedCSIS), pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: 2018 Federated Conference on Computer Science and Information Systems (FedCSIS), pp

Reference 2

Resolution
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Observation 5702647b-e41d-4add-829b-aae1a22b1d95 · outbound

This paper cites In: Legal Knowledge and Information Systems, pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Legal Knowledge and Information Systems, pp

Reference 3

Resolution
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Observation 5d093151-d077-4b46-8a7c-1355874c536b · outbound

This paper cites Procedia Computer Science 13, 53–59 (2012).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Procedia Computer Science 13, 53–59 (2012)

Reference 4

Resolution
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Observation c92bf67e-55ae-4193-9183-b02b1a7d43af · outbound

This paper cites Artificial Intelligence Review 53(2), 907–948 (2020).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Artificial Intelligence Review 53(2), 907–948 (2020)

Reference 5

Resolution
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Source-reported events for the cited work

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This paper cites In: Mexican International Conference on Artificial Intelligence, pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Mexican International Conference on Artificial Intelligence, pp

Reference 6

Resolution
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Observation 69b0a0ba-ae6b-4d91-afd0-7ce12d1be64c · outbound

This paper cites Information Systems 112, 102131 (2023) 40.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Information Systems 112, 102131 (2023) 40

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 71649806-8c97-48a7-9abe-1529d2b00f36 · outbound

This paper cites A Practical Guide, 1st Ed., Cham: Springer International Publishing 10(3152676), 10–5555 (2017).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court A Practical Guide, 1st Ed., Cham: Springer International Publishing 10(3152676), 10–5555 (2017)

Reference 8

Resolution
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Source-reported events for the cited work

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Observation f1d4e8fe-e0eb-478a-98f6-045592ee3507 · outbound

This paper cites A Survey of Deep Learning Approaches for OCR and Document Understanding.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 6dd870e0-db1c-45ce-a1d9-d45818b23b52 · outbound

This paper cites ACM Computing Surveys (CSUR) 52(6), 1–36 (2019).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court ACM Computing Surveys (CSUR) 52(6), 1–36 (2019)

Reference 10

Resolution
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Observation 3b352172-7643-43b3-b366-8739587777a5 · outbound

This paper cites A Survey of Large Language Models.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court A Survey of Large Language Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites In: Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pp

Reference 12

Resolution
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Observation 0e5cf438-665d-490d-b5b6-287aa069496b · outbound

This paper cites In: Data Science and Social Research II: Methods, Technologies and Applications, pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Data Science and Social Research II: Methods, Technologies and Applications, pp

Reference 13

Resolution
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Observation 47da1bd1-6dee-4236-aced-438737d0e730 · outbound

This paper cites Artificial Intelligence and Law 32(4), 1045–1074 (2024).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Artificial Intelligence and Law 32(4), 1045–1074 (2024)

Reference 14

Resolution
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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 3ea9e274-2659-4fcf-a7e5-226b381dc587 · outbound

This paper cites arXiv e-prints, 2401 (2023).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court arXiv e-prints, 2401 (2023)

Reference 16

Resolution
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Observation 1897d5ca-771b-488d-bfb3-26323af5bac4 · outbound

This paper cites In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp

Reference 17

Resolution
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Observation 35e4d0c4-cf82-4d3a-86a7-6f71373bfaad · outbound

This paper cites Computer Systems Science & Engineering 48(3) (2024).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Computer Systems Science & Engineering 48(3) (2024)

Reference 18

Resolution
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Observation 5b132b64-0c2e-43c9-a789-2b352b965f2a · outbound

This paper cites JAMIA open 5(2), 045 (2022) 41.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court JAMIA open 5(2), 045 (2022) 41

Reference 19

Resolution
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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court GiusBERTo: A Legal Language Model for Personal Data De-identification in Italian Court of Auditors Decisions

Reference 20

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Unresolved cited work

Reference 21

Resolution
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This paper cites TopicGPT: A Prompt-based Topic Modeling Framework.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court TopicGPT: A Prompt-based Topic Modeling Framework

Reference 22

Resolution
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Observation 1148e4ed-8afa-469f-94c2-5f34a62aec86 · outbound

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: The 20th World Congress of the International Fuzzy Systems Association (2023)

Reference 23

Resolution
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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 24

Resolution
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Source-reported events for the cited work

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court https://labelstud.io

Reference 25

Resolution
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This paper cites In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp

Reference 26

Resolution
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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016)

Reference 27

Resolution
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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 28

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Source-reported events for the cited work

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court BEiT: BERT Pre-Training of Image Transformers

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court https://huggingface.co/DeepMount00/ GLiNER PII ITA

Reference 31

Resolution
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Source-reported events for the cited work

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court : pandas: a foundational python library for data analysis and statistics

Reference 32

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A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 33

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Source-reported events for the cited work

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Observation 7c4fbefe-5896-4ab8-b84b-58f1e189784c · outbound

This paper cites Computer Law & Security Review 52, 105908 (2024).

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Computer Law & Security Review 52, 105908 (2024)

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d752f5df-fd2d-4306-a9cc-c8f3a8b033d6 · outbound

This paper cites Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9250e5f9-43e7-481a-8f8a-b0cc3b9a82c3 · outbound

This paper cites : hdbscan: Hierarchical density based clustering.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court : hdbscan: Hierarchical density based clustering

Reference 36

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f02f3048-fc6f-4176-b192-a01fc72fcacb · outbound

This paper cites In: 2019 International Engineering Conference (IEC), pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: 2019 International Engineering Conference (IEC), pp

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:59:41.511780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bee2d86f-414e-4c94-a27a-63654b1ebfb3 · outbound

This paper cites The Llama 3 Herd of Models.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court The Llama 3 Herd of Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:40.776993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a709df3c-f96b-4f1d-be02-4ef5879a591a · outbound

This paper cites https://www.anthropic.com/news/ claude-3-family.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court https://www.anthropic.com/news/ claude-3-family

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cd79c46b-3c66-467d-961e-ba7bf78db847 · outbound

This paper cites GPT-4 Technical Report.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court GPT-4 Technical Report

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:40.785994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10be3cc6-f223-4995-b3bc-6b69fc4bdab7 · outbound

This paper cites In: 2020 International Conference on Systems, Sig- nals and Image Processing (IWSSIP), pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: 2020 International Conference on Systems, Sig- nals and Image Processing (IWSSIP), pp

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:40.790617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 58ec4b9c-d3c1-4a2e-9815-621552132d9d · outbound

This paper cites In: Proceedings of the 6th International Workshop on Historical Document Imaging and Processing, pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Proceedings of the 6th International Workshop on Historical Document Imaging and Processing, pp

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:59:41.415210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 59fea0e8-0f39-4462-9812-cf4267f0c598 · outbound

This paper cites In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:59:41.355171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:59:40.801059Z digest=sha256:a7f2d0f501d8005b88a1242e28c2bf651fc0a37f26cc8dd0b83125a91067b6d6

Observation 2bc154dd-c27b-4708-b921-3bcac31c4927 · outbound

This paper cites Transactions of the Association for Computational Linguistics 8, 439–453 (2020) 43 https://doi.org/10.1162/tacl a 00325.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Transactions of the Association for Computational Linguistics 8, 439–453 (2020) 43 https://doi.org/10.1162/tacl a 00325

Reference 44

Resolution
malformed identifier
no resolver link, observed 2026-08-15T21:59:40.806600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a930a407-e431-4859-8a0b-9843c043c588 · outbound

This paper cites Evaluation of Thematic Coherence in Microblogs.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court Evaluation of Thematic Coherence in Microblogs

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T21:59:40.910181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 50085fce-03e4-4d37-a592-9a66b6104e55 · outbound

This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court In: Webber, B., Cohn, T., He, Y., Liu, Y

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:40.816759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:40.816759Z digest=sha256:66a35be3780fe12de07094a080ebc0f212b0325ccb4ae278099eed9932b3a6cf

Observation a7b79c5e-52d5-45e4-832f-5c1c2ec045c1 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court BERTScore: Evaluating Text Generation with BERT

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:40.821280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:40.821280Z digest=sha256:cd6e3163e66905415d1d4805aca5ba3465993b2938d3cced161ceb138dda84a5

Observation ba87078f-4d96-4210-8cea-303eab2f668e · outbound

This paper cites https://huggingface.co/ nickprock/sentence-bert-base-italian-uncased.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court https://huggingface.co/ nickprock/sentence-bert-base-italian-uncased

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:59:41.306691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:59:40.826264Z digest=sha256:75f4e9e302f0811cc10e1fa734928d8e203dfbcfd271d0c44df30a3faed3b895

Pith citing papers

No inbound Pith citation observations are available.