{"as_of":"2026-08-16T12:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0ec6ee1eec899bff9a43f80106bd19e89ce41a54a449f70e17a8bbca4bfc2225","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:59:40.826264Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.08439/citation-record","integrity":"/paper/2505.08439/integrity","json":"/paper/2505.08439/citation-record.json","paper":"/paper/2505.08439"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.430224Z","title":"The elements of statistical learning: Data mining, inference, and prediction, 9–41 (2009)","venue":null,"work_id":"c51b774c-82b0-4f1c-904f-80abdcf8ea91","year":2009},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.587516Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:465291a3479e3632d53e674468f097c94299ec6467a9b65ba0059dd3154aef00","observation_id":"11c4a7ed-830d-4998-9d6f-0edad6696ffd","resolution":{"observed_at":"2026-08-15T21:59:42.439215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.414228Z","title":"In: 2018 Federated Conference on Computer Science and Information Systems (FedCSIS), pp","venue":null,"work_id":"479c51a5-6587-4f4e-bfb6-f87a720d35d5","year":2018},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.593229Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:cbe4a9ab86f9b0e6d0c711465fbb2f1efd96bfbe8dc84c84f6d8fb074961d03f","observation_id":"d04e31fc-d0fe-4a44-bd8f-cc27e00476cc","resolution":{"observed_at":"2026-08-15T21:59:42.419360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.399045Z","title":"In: Legal Knowledge and Information Systems, pp","venue":null,"work_id":"8d7c9131-8a75-4c3f-8290-c8b3f51d8509","year":2021},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.598421Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:e0c3bcff94fdc4ca95b35b9e3dca6cc78ec9d3d3c42e986c133958bcbd7a1fe3","observation_id":"5702647b-e41d-4add-829b-aae1a22b1d95","resolution":{"observed_at":"2026-08-15T21:59:42.403967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.355643Z","title":"Procedia Computer Science 13, 53–59 (2012)","venue":null,"work_id":"4c38fe89-0255-4a80-979d-6bd11d3e0833","year":2012},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.603790Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:d6cfcf42b77dc18cebc6748b9c7fe9572f16c1eba2462365d9728090f91e2f68","observation_id":"5d093151-d077-4b46-8a7c-1355874c536b","resolution":{"observed_at":"2026-08-15T21:59:42.388994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.296886Z","title":"Artificial Intelligence Review 53(2), 907–948 (2020)","venue":null,"work_id":"baff97c5-371d-47c9-877a-d8720b64aaf7","year":2020},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.608437Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:cd5d94be66eeaf700c5f7e3ba801ee7c0353fe30e4bf1f23b5daad4261a4ea0a","observation_id":"c92bf67e-55ae-4193-9183-b02b1a7d43af","resolution":{"observed_at":"2026-08-15T21:59:42.319581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.279747Z","title":"In: Mexican International Conference on Artificial Intelligence, pp","venue":null,"work_id":"9958f662-7074-440c-9ac5-ce8545eefcc7","year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.613374Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:68732e29fc229f57abcc75e86f7c64b6555c52187aa2f032ec69390b11eb9fc1","observation_id":"22f68fdd-9153-4250-967e-b0879e2a3410","resolution":{"observed_at":"2026-08-15T21:59:42.285420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.263902Z","title":"Information Systems 112, 102131 (2023) 40","venue":null,"work_id":"a33fc01b-f6d5-4f1c-a075-8a39f73cdc2d","year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.618565Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:363acc2d6501096986fcec14bc8fe1539a2ecbde3a2c1af7d81d73fe10e6b82e","observation_id":"69b0a0ba-ae6b-4d91-afd0-7ce12d1be64c","resolution":{"observed_at":"2026-08-15T21:59:42.269188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.199123Z","title":"A Practical Guide, 1st Ed., Cham: Springer International Publishing 10(3152676), 10–5555 (2017)","venue":null,"work_id":"297b6304-91a0-4f8d-9166-bc72146f15d9","year":2017},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.622828Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:98ec54e4447a922933142db2c0e846644d5a9df63111ca03b3a48affbd8316bd","observation_id":"71649806-8c97-48a7-9abe-1529d2b00f36","resolution":{"observed_at":"2026-08-15T21:59:42.223108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13534","last_updated":"2021-02-04T23:48:39Z","snapshot_observed_at":"2026-08-07T03:26:44.455151Z","submitted_at":"2020-11-27T03:05:59Z","title":"A Survey of Deep Learning Approaches for OCR and Document Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13534","snapshot_observed_at":"2026-08-15T21:59:40.627484Z","title":"arXiv preprint arXiv:2011.13534 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.627484Z"},"links":{"cited_paper":"/paper/2011.13534","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:087cf54e884a9e95778e922480db573c07ac40fdcd4e3fd774c8c24952663b28","observation_id":"f1d4e8fe-e0eb-478a-98f6-045592ee3507","resolution":{"observed_at":"2026-08-15T21:59:40.627484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.184420Z","title":"ACM Computing Surveys (CSUR) 52(6), 1–36 (2019)","venue":null,"work_id":"d088ac3a-3bda-4747-8fc3-750888ce5ca2","year":2019},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.632756Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:aa0062a3a56fdc6d64fc061d7be6dd2cb83b36bd0350375545c1107614c15c5a","observation_id":"6dd870e0-db1c-45ce-a1d9-d45818b23b52","resolution":{"observed_at":"2026-08-15T21:59:42.188937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-14T10:40:26.323157Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-15T21:59:40.637477Z","title":"arXiv preprint arXiv:2303.18223 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.637477Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:dcc6718aae1a50157a700ee37d2f60c742a72a5481342580677534e9535d8046","observation_id":"3b352172-7643-43b3-b366-8739587777a5","resolution":{"observed_at":"2026-08-15T21:59:40.637477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.169692Z","title":"In: Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pp","venue":null,"work_id":"70adb85a-4fd6-4721-b39a-34f7644cf41b","year":2024},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.642719Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:600a0c1cf39f47ea6c3f1547d277454ed0a4aaf11a63244562794903ba5664c3","observation_id":"bff3ee4b-d522-4a0d-aafd-806c14c25f0c","resolution":{"observed_at":"2026-08-15T21:59:42.174392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.067969Z","title":"In: Data Science and Social Research II: Methods, Technologies and Applications, pp","venue":null,"work_id":"bc30dcd1-d71d-4652-8a83-081c879149cf","year":2021},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.648419Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:4211b3f655b0a48ad390bc8739dd2b00525b6e534338aadc002cbea10ee13f31","observation_id":"0e5cf438-665d-490d-b5b6-287aa069496b","resolution":{"observed_at":"2026-08-15T21:59:42.113157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.052729Z","title":"Artificial Intelligence and Law 32(4), 1045–1074 (2024)","venue":null,"work_id":"d558c6ea-96f1-4854-955d-0211222db570","year":2024},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.653194Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:f8d70466b2b0c19650c0cff655be93d5657ea0fc13782b2e0ae3520b68387feb","observation_id":"47da1bd1-6dee-4236-aced-438737d0e730","resolution":{"observed_at":"2026-08-15T21:59:42.057923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:42.008063Z","title":null,"venue":null,"work_id":"e3f2561e-68e7-4b98-8398-0986fa191269","year":2021},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.657758Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:ae6692970ea2d08e35da7e9dec992ed78a1d2e9a91e256ffd0d67d70f3d4b29f","observation_id":"b1ffbda2-5af4-41dc-881f-5916283bd8dc","resolution":{"observed_at":"2026-08-15T21:59:42.042006Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.956332Z","title":"arXiv e-prints, 2401 (2023)","venue":null,"work_id":"da4975a6-6d40-4f40-ae93-22bf72872de1","year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.662591Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:a3e4c87de0431cdadaa770325ff1fd4230b46b00b9cb13703668466a009890fc","observation_id":"3ea9e274-2659-4fcf-a7e5-226b381dc587","resolution":{"observed_at":"2026-08-15T21:59:41.960990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.940982Z","title":"In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp","venue":null,"work_id":"d12e484a-02eb-4e0b-85e1-586a4c4dc017","year":2019},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.668848Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:5c61c350391dd80f4d65341d8deb36e6abe13e24c77711d0c3be798f95b2c194","observation_id":"1897d5ca-771b-488d-bfb3-26323af5bac4","resolution":{"observed_at":"2026-08-15T21:59:41.946147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.925796Z","title":"Computer Systems Science & Engineering 48(3) (2024)","venue":null,"work_id":"8770ee51-ff71-4898-b518-28be72403754","year":2024},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.674543Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:d77b5ecfa1f1505fd9a8d40fb0861c4d1330ace9be42b877fdd600056efb24b6","observation_id":"35e4d0c4-cf82-4d3a-86a7-6f71373bfaad","resolution":{"observed_at":"2026-08-15T21:59:41.930353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.867673Z","title":"JAMIA open 5(2), 045 (2022) 41","venue":null,"work_id":"f6a86de8-9738-440c-9055-9026057efc9f","year":2022},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.679581Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:fe4ddf5f9496e2d0a9f9702baec532f5483a0e80509bdaaf01ebcf3ce2b94f5a","observation_id":"5b132b64-0c2e-43c9-a789-2b352b965f2a","resolution":{"observed_at":"2026-08-15T21:59:41.890026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15032","last_updated":"2024-06-21T10:25:26Z","snapshot_observed_at":"2026-08-16T12:13:20.990268Z","submitted_at":"2024-06-21T10:25:26Z","title":"GiusBERTo: A Legal Language Model for Personal Data De-identification in Italian Court of Auditors Decisions","version":1},"cited_work":{"arxiv_id":"2406.15032","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.15032","snapshot_observed_at":"2026-08-15T21:59:41.123774Z","title":"GiusBERTo: A Legal Language Model for Personal Data De-identification in Italian Court of Auditors Decisions","venue":"cs.CL","work_id":"69d2a1b4-fbdd-48ef-87f2-a2e514a83452","year":2024},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.684115Z"},"links":{"cited_paper":"/paper/2406.15032","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:0b04f013549b559f6f88118d7210c3c0b1f96d5fa2ef909deb72a679aa66e251","observation_id":"32a72f93-7913-43af-9c9a-afc327a72430","resolution":{"observed_at":"2026-08-15T21:59:41.210724Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.847779Z","title":null,"venue":null,"work_id":"796e0bf3-95bf-4a66-a728-4b40fe040408","year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.690101Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:d07f1db7f74cc9b0add735d7af0098a8132fabb0c7452432b64dfdc5e8224590","observation_id":"fa0029e4-817c-45f6-b6be-d747f2db1b99","resolution":{"observed_at":"2026-08-15T21:59:41.852518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01449","last_updated":"2024-04-01T18:02:57Z","snapshot_observed_at":"2026-08-13T05:33:57.386169Z","submitted_at":"2023-11-02T17:57:10Z","title":"TopicGPT: A Prompt-based Topic Modeling Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.01449","snapshot_observed_at":"2026-08-15T21:59:40.696003Z","title":"doi: 10.48550","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.696003Z"},"links":{"cited_paper":"/paper/2311.01449","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:8307d255ff836f80482a26e3bae1e9cd464409601798bc63f2fe7920fd61baa9","observation_id":"bdce80e5-d5e1-4250-a815-0ff68cf2bf2f","resolution":{"observed_at":"2026-08-15T21:59:40.696003Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.831510Z","title":"In: The 20th World Congress of the International Fuzzy Systems Association (2023)","venue":null,"work_id":"7d457b6f-356b-4a2b-a76f-9ed44b3e1a3f","year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.701811Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:33456e52a86551246e46cae66b18dfb64d9a8532422e127dcfb3bcb1244ed983","observation_id":"1148e4ed-8afa-469f-94c2-5f34a62aec86","resolution":{"observed_at":"2026-08-15T21:59:41.837178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.08144","last_updated":"2016-10-08T19:10:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-09-26T19:59:55Z","title":"Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.08144","snapshot_observed_at":"2026-08-15T21:59:40.707148Z","title":"arXiv preprint arXiv:1609.08144 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.707148Z"},"links":{"cited_paper":"/paper/1609.08144","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:c03562e56c2a71d7ca88164046fe729de1d849dbfa31b7a79cdd08521dcb5289","observation_id":"092eb209-473c-4d42-b7dd-6115edd238e8","resolution":{"observed_at":"2026-08-15T21:59:40.707148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.779903Z","title":"https://labelstud.io","venue":null,"work_id":"ada1a778-d554-4c28-823f-f9a464f51d14","year":2025},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.711750Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:6af90734da89b6002707ac9e0fa3e2a3faa58c1ad9038d8ac7694905415ea43e","observation_id":"a3e99e2f-80de-4d3e-a3ef-7993464a6963","resolution":{"observed_at":"2026-08-15T21:59:41.820904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.707332Z","title":"In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp","venue":null,"work_id":"c1449f28-a952-469f-99f7-ba576518c4c4","year":2022},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.716191Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:fd5eda6f26cd2fbef0a509a88929256d8a3d4a87029ebb84b3ce9cd4226d822b","observation_id":"3f133474-8238-4b34-8084-276a7fa66684","resolution":{"observed_at":"2026-08-15T21:59:41.712350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.688897Z","title":"In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016)","venue":null,"work_id":"681678fe-6a2d-4633-9677-a3c4afc10d49","year":2016},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.720964Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:96f93255a841da02118eee4ed47b71b2a88b4af3fd96b2f2d0cc171038d3e34f","observation_id":"b1fabfd3-72ab-428b-82fe-f81e7dc30a81","resolution":{"observed_at":"2026-08-15T21:59:41.696934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:40.725742Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, vol","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.725742Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:d35af04fdbc66029e495dfcc652d386114822f2cb4ff623ed0317fc5b81c23ed","observation_id":"fb251574-655a-4d36-a747-a860cdd180df","resolution":{"observed_at":"2026-08-15T21:59:40.725742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.08254","last_updated":"2022-09-03T14:11:33Z","snapshot_observed_at":"2026-08-15T09:06:23.943892Z","submitted_at":"2021-06-15T16:02:37Z","title":"BEiT: BERT Pre-Training of Image Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.08254","snapshot_observed_at":"2026-08-15T21:59:40.730419Z","title":"arXiv preprint arXiv:2106.08254 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.730419Z"},"links":{"cited_paper":"/paper/2106.08254","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:75513d75b583a8fdc455ee01dd7531319d9fa5e01ea92a1017520354b8fde174","observation_id":"ac259441-14e1-4eea-811c-98c4c5f16723","resolution":{"observed_at":"2026-08-15T21:59:40.730419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-15T21:59:40.735209Z","title":"arXiv preprint arXiv:1907.11692 364 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.735209Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:0998d7b1ecb82a83e7470b65830f575cf97ef722b31a9b2a11f682a59844ff9f","observation_id":"b591926a-611b-47d7-81c5-4c9714b574ae","resolution":{"observed_at":"2026-08-15T21:59:40.735209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.637953Z","title":"https://huggingface.co/DeepMount00/ GLiNER PII ITA","venue":null,"work_id":"14fbe803-003b-42ef-8670-a39ef7d29f42","year":2025},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.739631Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:d0bf18e69c71db5d84d2d15df41d47305bc5abbf6ff2bb40c149737034efa741","observation_id":"9087e262-e245-4e64-b7e4-a507bb993e2d","resolution":{"observed_at":"2026-08-15T21:59:41.643052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.622194Z","title":": pandas: a foundational python library for data analysis and statistics","venue":null,"work_id":"ef80b4e2-8bde-466b-8175-798a24253797","year":2011},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.745158Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:486424ca5bad7e96a755c87cc00851e906efb5b6191645192fe6e18a2c1b90cb","observation_id":"d8877d14-6b67-4c8e-ad39-baeb8cf717dc","resolution":{"observed_at":"2026-08-15T21:59:41.627411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05794","last_updated":"2022-03-11T08:35:15Z","snapshot_observed_at":"2026-07-06T12:46:41.057346Z","submitted_at":"2022-03-11T08:35:15Z","title":"BERTopic: Neural topic modeling with a class-based TF-IDF procedure","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05794","snapshot_observed_at":"2026-08-15T21:59:40.750243Z","title":"arXiv preprint arXiv:2203.05794 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.750243Z"},"links":{"cited_paper":"/paper/2203.05794","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:41376b26b25665a9e364fe4223466039edb8d4d5856790718620e135eedcb7e1","observation_id":"a81f393b-6db5-4a19-9ce9-8903b2b68232","resolution":{"observed_at":"2026-08-15T21:59:40.750243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.541560Z","title":"Computer Law & Security Review 52, 105908 (2024)","venue":null,"work_id":"051df5d5-9a3a-4141-88e1-9c293239f2ff","year":2024},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.755340Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:80c012a9aa5e360c3325a37331750b0218e6b32b6b42c48c803f7cec0644a6ed","observation_id":"7c4fbefe-5896-4ab8-b84b-58f1e189784c","resolution":{"observed_at":"2026-08-15T21:59:41.576185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.02508","last_updated":"2021-08-25T00:45:01Z","snapshot_observed_at":"2026-08-15T09:37:21.762201Z","submitted_at":"2021-08-25T00:45:01Z","title":"Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.02508","snapshot_observed_at":"2026-08-15T21:59:40.760830Z","title":"arXiv preprint arXiv:2109.02508 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.760830Z"},"links":{"cited_paper":"/paper/2109.02508","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:9074209a614101b522e84553462f607edc0aa408a11d95bdb738746df1dc76ee","observation_id":"d752f5df-fd2d-4306-a9cc-c8f3a8b033d6","resolution":{"observed_at":"2026-08-15T21:59:40.760830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.523477Z","title":": hdbscan: Hierarchical density based clustering","venue":null,"work_id":"348697cf-e62d-4208-ab3e-a387ffda145a","year":2017},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.766578Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:3babeda9c7db1f08f5ee0b70a54a57fc1e4e77789924f5e494c72e107923dc12","observation_id":"9250e5f9-43e7-481a-8f8a-b0cc3b9a82c3","resolution":{"observed_at":"2026-08-15T21:59:41.529944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.474716Z","title":"In: 2019 International Engineering Conference (IEC), pp","venue":null,"work_id":"7cb6533b-66d5-4dce-b254-b81b4aff792a","year":2019},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.772008Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:6dae3bd08f9f49cc4c0f25febfcb790c98d07151b46c4f80ce6ccb5bc46b964b","observation_id":"f02f3048-fc6f-4176-b192-a01fc72fcacb","resolution":{"observed_at":"2026-08-15T21:59:41.511780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-15T21:59:40.776993Z","title":"arXiv preprint arXiv:2407.21783 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.776993Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:1bbc03de0f294bf5bcd75cb00b737a51c9efcab52becbffa6c88bb0c88a50ea1","observation_id":"bee2d86f-414e-4c94-a27a-63654b1ebfb3","resolution":{"observed_at":"2026-08-15T21:59:40.776993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.426009Z","title":"https://www.anthropic.com/news/ claude-3-family","venue":null,"work_id":"5d25bb69-4324-4bd6-ab8e-f8a0efbf1612","year":2025},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.781770Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:67a230af27280e5cc44fa6d5aaf9303133878d6d823d04d633e6679b4922338d","observation_id":"a709df3c-f96b-4f1d-be02-4ef5879a591a","resolution":{"observed_at":"2026-08-15T21:59:41.431310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-15T21:59:40.785994Z","title":"arXiv preprint arXiv:2303.08774 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.785994Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:cb5eeb83038834b4007b829c50db94f3f67bbc14ed08a5cc1553ba0136275704","observation_id":"cd79c46b-3c66-467d-961e-ba7bf78db847","resolution":{"observed_at":"2026-08-15T21:59:40.785994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:40.790617Z","title":"In: 2020 International Conference on Systems, Sig- nals and Image Processing (IWSSIP), pp","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.790617Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:c6cabf1165618ed6b39ad5a7864a30f1c0ee38abbdcee43902011d613d696bd0","observation_id":"10be3cc6-f223-4995-b3bc-6b69fc4bdab7","resolution":{"observed_at":"2026-08-15T21:59:40.790617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.410215Z","title":"In: Proceedings of the 6th International Workshop on Historical Document Imaging and Processing, pp","venue":null,"work_id":"f73815ea-ab5d-43ed-93b2-c674377c88c8","year":2021},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.796200Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:9485abef0a231c9f654f1114fa1b2d85f32eea5101508e123f957c86ff7c55df","observation_id":"58ec4b9c-d3c1-4a2e-9815-621552132d9d","resolution":{"observed_at":"2026-08-15T21:59:41.415210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.318767Z","title":"In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp","venue":null,"work_id":"44cbc234-001b-4e60-939e-9750c58adaee","year":2015},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.801059Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:fa5b2a1d8bd73b7e9cf9bcdfe28a913f3ccdd3db5f4b5d7d1408ef0938ca6a19","observation_id":"59fea0e8-0f39-4462-9812-cf4267f0c598","resolution":{"observed_at":"2026-08-15T21:59:41.355171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:40.806600Z","title":"Transactions of the Association for Computational Linguistics 8, 439–453 (2020) 43 https://doi.org/10.1162/tacl a 00325","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.806600Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:0c159b335ae3b10f8bebc2e7fc750a2e82fa7df25ae379c5c571ea8965a654a8","observation_id":"2bc154dd-c27b-4708-b921-3bcac31c4927","resolution":{"observed_at":"2026-08-15T21:59:40.806600Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15971","last_updated":"2021-06-30T10:32:59Z","snapshot_observed_at":"2026-08-16T12:09:50.330221Z","submitted_at":"2021-06-30T10:32:59Z","title":"Evaluation of Thematic Coherence in Microblogs","version":1},"cited_work":{"arxiv_id":"2106.15971","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.15971","snapshot_observed_at":"2026-08-15T21:59:40.903283Z","title":"Evaluation of Thematic Coherence in Microblogs","venue":"cs.CL","work_id":"1f51c69d-dbcb-427f-b5ff-252365c05ae5","year":2021},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.811527Z"},"links":{"cited_paper":"/paper/2106.15971","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:9c9b7d570c854a614214411387dcc49353b9c98ad251e8d7511629c61e43e4e2","observation_id":"a930a407-e431-4859-8a0b-9843c043c588","resolution":{"observed_at":"2026-08-15T21:59:40.910181Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:40.816759Z","title":"In: Webber, B., Cohn, T., He, Y., Liu, Y","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.816759Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:66a35be3780fe12de07094a080ebc0f212b0325ccb4ae278099eed9932b3a6cf","observation_id":"50085fce-03e4-4d37-a592-9a66b6104e55","resolution":{"observed_at":"2026-08-15T21:59:40.816759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-15T21:59:40.821280Z","title":"arXiv preprint arXiv:1904.09675 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.821280Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:cd6e3163e66905415d1d4805aca5ba3465993b2938d3cced161ceb138dda84a5","observation_id":"a7b79c5e-52d5-45e4-832f-5c1c2ec045c1","resolution":{"observed_at":"2026-08-15T21:59:40.821280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:59:41.301495Z","title":"https://huggingface.co/ nickprock/sentence-bert-base-italian-uncased","venue":null,"work_id":"dce8a721-33ee-4601-850f-08ba29ffe5ef","year":2025},"citing_paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T21:59:40.826264Z"},"links":{"citing_paper":"/paper/2505.08439"},"observation_digest":"sha256:a9b06439a1e67cc19b930feab27b879e465dabaafd0eed87c507a6f27900d884","observation_id":"ba87078f-4d96-4210-8cea-303eab2f668e","resolution":{"observed_at":"2026-08-15T21:59:41.306691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.08439","last_updated":"2025-05-13T11:06:24Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T21:52:45.225301Z","submitted_at":"2025-05-13T11:06:24Z","title":"A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":2,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"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."}