{"as_of":"2026-08-09T09:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:63222db6b4961faad6f3bdb6e365ac25cef4fbb9e23c9034cb75a8e5f524d41f","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:34:38.628827Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2508.16046/citation-record","integrity":"/paper/2508.16046/integrity","json":"/paper/2508.16046/citation-record.json","paper":"/paper/2508.16046"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:34:41.974971Z","title":"@c L8G c( M;+Gd' | . ci NCQS62P␃ZH","venue":null,"work_id":"839e8a2b-9a1b-45a5-8a0e-91d9091164a2","year":null},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:36.838135Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:4e9e66b96b6b6dc1a887f76998cbbe9b75d71a96e787c14d2d8aa497cff8f516","observation_id":"f8af164e-2981-4a45-b3ec-300b0bc8b0d2","resolution":{"observed_at":"2026-08-05T17:34:42.088414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:41.767150Z","title":"Automatic label generation for news comment clus-ters","venue":null,"work_id":"dc2daaa9-7537-489f-9414-a1aaab843ff8","year":2016},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:36.977847Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:8b63e74fa0673f7d1f5ae18b3e7f492a9169bb761415acda18f253cffaa012ff","observation_id":"f867c42e-33df-42cd-ac71-b6c95ae4554b","resolution":{"observed_at":"2026-08-05T17:34:41.876861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1612.05340","last_updated":"2016-12-23T01:51:41Z","snapshot_observed_at":"2026-07-06T05:22:57.752727Z","submitted_at":"2016-12-16T02:49:53Z","title":"Automatic Labelling of Topics with Neural Embeddings","version":2},"cited_work":{"arxiv_id":"1612.05340","doi":null,"metadata_source":"pith","pith_arxiv_id":"1612.05340","snapshot_observed_at":"2026-08-05T17:34:39.000735Z","title":"Automatic Labelling of Topics with Neural Embeddings","venue":"cs.CL","work_id":"cb983d70-c205-495b-8bae-63ec72ff6379","year":2016},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.081128Z"},"links":{"cited_paper":"/paper/1612.05340","citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:902a30eec21304b977619f438f6487a5f354f2e6924c9a5a8237aa5612e63360","observation_id":"b6e267e7-2697-42a4-88ed-44f2b2fb0dcb","resolution":{"observed_at":"2026-08-05T17:34:39.051581Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:37.153927Z","title":"Latent dirichlet allocation.Journal of machine Learning research, 3(Jan):993–1022, 2003","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.153927Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:33b1bf9232600fbe94c353305b7f76b530502ed2e386c309a15b2e0161f5c7c6","observation_id":"35b1e14c-990d-4453-9ae5-9bc9cefb00e3","resolution":{"observed_at":"2026-08-05T17:34:37.153927Z","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":"2026-08-05T17:34:41.547919Z","title":"Class-based n-gram models of natural language.Computationallinguistics, 18(4):467–479, 1992","venue":null,"work_id":"8447169e-6c33-457f-b671-ca904347d075","year":1992},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.235811Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:9619c2f541a66f74f6b652b8df328e01e4667ac1829ad87e092ae30352b362b5","observation_id":"c004aa1f-71b9-4e1a-86c0-ed5aa3e39c0c","resolution":{"observed_at":"2026-08-05T17:34:41.641963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:41.378437Z","title":"Latent semantic analysis.Annual review of information scienceand technology, 38(1):188–230, 2004","venue":null,"work_id":"db3f02eb-a4a7-49c7-ae7a-b904469e1ac5","year":2004},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.347060Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:943ccffb72159ae4495ffd0d537a537c4bafccd9fc21957341c8dd58267d05c8","observation_id":"777942bb-5652-4051-bef8-53fafc48d1be","resolution":{"observed_at":"2026-08-05T17:34:41.452928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1402.3722","last_updated":"2014-02-15T21:03:02Z","snapshot_observed_at":"2026-08-06T08:22:05.714258Z","submitted_at":"2014-02-15T21:03:02Z","title":"word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1402.3722","snapshot_observed_at":"2026-08-05T17:34:37.445768Z","title":"word2vec explained: deriving mikolov et al.’snegative-sampling word-embedding method.arXiv preprint arXiv:1402.3722, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.445768Z"},"links":{"cited_paper":"/paper/1402.3722","citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:09f9bc706557d275129e0bfd8953fff7c7aaa9caf07b76c46e471c95251495ba","observation_id":"9b7036d1-6d68-471c-b44e-b1d59bd71dee","resolution":{"observed_at":"2026-08-05T17:34:37.445768Z","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":"2026-08-05T17:34:41.188101Z","title":"Probabilistic latent semantic analysis","venue":null,"work_id":"eeecfc56-d144-4e49-9c42-008ba9821ca0","year":1999},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.512173Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:455660502c1120279e934c39c371b582a83262fe37a4f10741bf90722f6a5c56","observation_id":"f477cf91-4f93-4276-ad56-b91579ddcf4d","resolution":{"observed_at":"2026-08-05T17:34:41.283845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:41.013075Z","title":"Polynomialtopic distribution with topic modeling for generic labeling","venue":null,"work_id":"56b74f8f-f636-468a-bc38-bbec70f66a5a","year":2019},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.610818Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:5f83af7cfb52a9b56d5b97cca694fcaffe759c61a2254ca9191e1e208a645d48","observation_id":"f1f48f88-e7bb-4505-8106-b8d37244635a","resolution":{"observed_at":"2026-08-05T17:34:41.051760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:40.820751Z","title":"Automaticlabelling of topic models","venue":null,"work_id":"3d00b158-f66f-47c9-a0ec-b81131dfbc1e","year":2011},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.690164Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:efb72a77b27543de34a9eda5b51e4c098f3abe78344b2f69d5fe59a938ba8d13","observation_id":"941851f9-2ba7-4af9-acfc-503774356e8d","resolution":{"observed_at":"2026-08-05T17:34:40.901594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:40.646979Z","title":"Best topicword selection for topic labelling","venue":null,"work_id":"858ed8b7-24a5-4bf5-9f27-3b03a0809598","year":2010},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.764535Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:7b38d23a8ef62187a355bb933702174bca38f552c07ba43711c72fb075dd82e7","observation_id":"b10ec2e0-1da8-45cd-942e-81a40c4fcc44","resolution":{"observed_at":"2026-08-05T17:34:40.729180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:40.471655Z","title":"Learning the parts of objects by non-negativematrix factorization.Nature, 401(6755):788, 1999","venue":null,"work_id":"dd62bdd0-1b7f-4305-8b5a-253aec164e6e","year":1999},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.886016Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:32b1e8a1e1ceec4276476874fe180cce9c3de6f946becf241c4fc6aeebc7fa48","observation_id":"4b9d5030-68e2-4913-933c-d974b616727b","resolution":{"observed_at":"2026-08-05T17:34:40.576553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:40.292162Z","title":"Some methods for classification and analysis of multivari-ate observations","venue":null,"work_id":"7e8efc06-770e-4fcd-b7a5-ade6107b8ccc","year":1967},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:37.988752Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:ad15b4a015510cd62042c1584ddedbdd34fb6b500dfc9fb0067867dd33811ef0","observation_id":"a0155b2b-f20f-4b1e-9cb5-7df9c7e5c8a4","resolution":{"observed_at":"2026-08-05T17:34:40.365328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:40.142375Z","title":"Automatic la-beling of topics","venue":null,"work_id":"5d81a351-9821-4dff-a1c6-f99672a68543","year":2009},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:38.074973Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:c4c40b9032c1a26396242cfd310c083d07f2b6c000f68c5d85a4534346538f0f","observation_id":"06e84b64-fa8a-4c9a-92c8-507f22f4db29","resolution":{"observed_at":"2026-08-05T17:34:40.192323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:39.950807Z","title":"Automatic labeling of multi-nomial topic models","venue":null,"work_id":"d14dd6aa-f0e1-4a36-b35c-63ec18201832","year":2007},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:38.172966Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:5a411396f3b0eb79cad7aa89e26a5d930db3c432994a617ab670c4675da26ccd","observation_id":"b4691daf-ea03-43f9-9e4b-8f3936ff654f","resolution":{"observed_at":"2026-08-05T17:34:40.028683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:39.704267Z","title":"Wordnet: a lexical database for english.Communications of theACM, 38(11):39–41, 1995","venue":null,"work_id":"09f67b3f-a8c9-4328-8a88-007a8da40311","year":1995},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:38.263471Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:81da9bd6769d2bd4b591b5ccff6677254c07020c196846f8abc67374debc0689","observation_id":"0d908c6c-ef4b-4f3a-94ef-1241048b052c","resolution":{"observed_at":"2026-08-05T17:34:39.780841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:39.545357Z","title":"InFuture of Information and Communication Conference, pages224–236","venue":null,"work_id":"9253f7fd-9bac-4e46-9b8b-a6bf8fafe18f","year":2020},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:38.425163Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:2e4cd85cb41f2da536964a7560c7966f0c91c34eb7a12a7920d968b2b78f8001","observation_id":"a22b0d26-5cac-4606-ba42-ab691252044e","resolution":{"observed_at":"2026-08-05T17:34:39.576993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:39.350050Z","title":"Sharing clus-ters among related groups: Hierarchical dirichlet processes","venue":null,"work_id":"74a43f7e-4c89-4a64-b54c-bd0164fd273d","year":2005},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:38.464673Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:a704673deb65922cad7e8c4dcb75bfc58425f88f81b6c7ec6a1d1f51170e5651","observation_id":"41f04ed5-7943-4d2b-94a2-8c12c608ce0f","resolution":{"observed_at":"2026-08-05T17:34:39.453581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T17:34:39.142540Z","title":"Verbs semantics and lexical selection","venue":null,"work_id":"61855854-856b-4bea-b208-6239d3f244ca","year":1994},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:38.558078Z"},"links":{"citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:12c851a25b3137572ef7808e45cc2ce2557b7157b57a22438e05dc493b42d1e5","observation_id":"d425937e-fd17-44b1-a97f-9129cc1bf070","resolution":{"observed_at":"2026-08-05T17:34:39.226544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1309.6874","last_updated":"2013-09-26T12:54:02Z","snapshot_observed_at":"2026-08-05T21:36:09.265685Z","submitted_at":"2013-09-26T12:54:02Z","title":"Integrating Document Clustering and Topic Modeling","version":1},"cited_work":{"arxiv_id":"1309.6874","doi":null,"metadata_source":"pith","pith_arxiv_id":"1309.6874","snapshot_observed_at":"2026-08-05T17:34:38.783666Z","title":"Integrating Document Clustering and Topic Modeling","venue":"cs.LG","work_id":"c00fe022-4741-4816-91db-cc3d4f113418","year":2013},"citing_paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T17:34:38.628827Z"},"links":{"cited_paper":"/paper/1309.6874","citing_paper":"/paper/2508.16046"},"observation_digest":"sha256:d9bc95deb5d5afe7504499fd28463a53b2296bc122beec35d9ea695065ce3829","observation_id":"fc8ef110-a4f5-4590-828f-1fe9da55e5e0","resolution":{"observed_at":"2026-08-05T17:34:38.867006Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.16046","last_updated":"2025-08-22T02:51:33Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-08T05:57:39.104202Z","submitted_at":"2025-08-22T02:51:33Z","title":"Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":2,"verified_fuzzy":16},"total_outbound_references":20},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.16046."}