{"as_of":"2026-08-13T16:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d765524dd829c421ecaa38d72c09c710ba7ca2d1ac668adbd1ba7aea344dacf0","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:58:00.690207Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2412.03584/citation-record","integrity":"/paper/2412.03584/integrity","json":"/paper/2412.03584/citation-record.json","paper":"/paper/2412.03584"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:00.906191Z","title":"Information theoretic measures for clusterings comparison: Is a correction for chance necessary?","venue":null,"work_id":"a2ad1fc6-8d14-4f08-bd0d-2299b774553a","year":2009},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.624847Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:2443dc663f739b7c1f96cb215962f82c0c4e9879a5f121a07f67a19f7b2fb06c","observation_id":"b885e461-11e6-4d27-b489-c1a8d9d074a9","resolution":{"observed_at":"2026-08-12T15:58:00.910267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.894309Z","title":"Information theoretic measures for clusterings comparison: Vari- ants, properties, normalization and correction for chance,","venue":null,"work_id":"d889c5ee-2919-45d5-90f7-b96f801b4509","year":2010},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.629846Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:019887ffb2d998ac62883b7ce66d7c8d8c4d5d9d61d2d5ae0fae1443a295b984","observation_id":"7ee95c72-97ec-42c7-a80c-97c062f425b6","resolution":{"observed_at":"2026-08-12T15:58:00.898654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.883515Z","title":"Improved mutual infor- mation measure for clustering, classification, and community detection,","venue":null,"work_id":"f0bf0523-c9cb-487e-8d16-efca2aba2b21","year":2020},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.633982Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:260ca610ab907b65806cc0c4b0ee5f18f2fede1caede049b2c548129f960a9e6","observation_id":"f9ad24d0-d527-4591-af0b-c0b650f24d8d","resolution":{"observed_at":"2026-08-12T15:58:00.887477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.872678Z","title":"Element-centric clustering comparison unifies overlaps and hierarchy,","venue":null,"work_id":"638f08c8-8fb8-4c60-baa1-0cc2ded0e8d2","year":2019},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.638126Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:0978a6a4d5ae568ede46105e4da71917b02cb885392cd73fc1d2080a5c4b7ecd","observation_id":"7da5a0cd-06da-4e0b-b8b0-00d6a960ead3","resolution":{"observed_at":"2026-08-12T15:58:00.876428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.862036Z","title":"Objective criteria for the evaluation of clustering meth- ods,","venue":null,"work_id":"2518c818-ffa1-4911-9c06-c7e396fb7160","year":1971},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.642342Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:195b1769414c65dbcec0004eec7cc61a82b7b244fb0c7e61616e9f6edfcb71f0","observation_id":"3ff6f363-42a0-438d-8ea4-a1e25958cda0","resolution":{"observed_at":"2026-08-12T15:58:00.865696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.852030Z","title":"Comparing partitions,","venue":null,"work_id":"667ead98-ce0a-4280-9190-49cf93769b6c","year":1985},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.646254Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:7ccda85ec51df003598e3496f62bedb6898cc37fede38df4773e3e746d32a12c","observation_id":"00451a75-8488-49d1-935e-6e3b61f4a10e","resolution":{"observed_at":"2026-08-12T15:58:00.855605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.840922Z","title":"The impact of random models on clustering similarity,","venue":null,"work_id":"93f9c1b8-2490-4aa2-b78d-88ef64d1e211","year":2017},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.650593Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:b3da8f50d91745d42b7e37372492d9897929842b7acb562418bd271c486576aa","observation_id":"0fc2f2c2-1b2f-46de-be59-e98b62e62c3e","resolution":{"observed_at":"2026-08-12T15:58:00.845049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.829562Z","title":"Understanding the adjusted rand index and other partition comparison indices based on counting object pairs,","venue":null,"work_id":"16a40a0c-b8cd-4f5a-915b-09aab07b1c9d","year":2022},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.654066Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:357822e56ec72967527e878b7412d47d2fc7727bdd4e3cd71283697782f44a1a","observation_id":"0d86f249-b3b9-459b-a1a2-e7e2d74afc73","resolution":{"observed_at":"2026-08-12T15:58:00.833447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.818318Z","title":"Comparing clusterings—an information based distance,","venue":null,"work_id":"77edb7f7-02e1-4fd6-8930-80ec0f4ac410","year":2007},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.657656Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:dbc884cb669414266e265d9f367d4a54a05305346262cb5ab8fde2fcbe4139ba","observation_id":"48c2e701-b0f8-4eeb-b827-4ff5e41e3615","resolution":{"observed_at":"2026-08-12T15:58:00.822139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.807277Z","title":"Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers,","venue":null,"work_id":"d146ab0a-027d-4523-948c-00dd4b1b349a","year":2015},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.661274Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:e0a5cc304ad03dc024ef2fc3ec1c2549dda3f7e0a83a9ac6cda86095369095ae","observation_id":"56f1e557-76e6-4de7-89ac-222ef80847f7","resolution":{"observed_at":"2026-08-12T15:58:00.811258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.796725Z","title":"Can co-location be used as a proxy for face- to-face contacts?","venue":null,"work_id":"3129ea0f-f766-4f9e-b7c3-f5def3d7903f","year":2017},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.664852Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:f29dc59dd4578c7467136b66fea26d8363a6ef8e8f49aaaaabe5039bd467f828","observation_id":"543615bc-88e6-4981-8796-a22807975ad8","resolution":{"observed_at":"2026-08-12T15:58:00.800408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.786847Z","title":"Robust data clustering,","venue":null,"work_id":"12bfc9e5-f615-44dd-b0ca-23fc066643cd","year":2003},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.668438Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:5a5a0c8044bf4a256456a3311cf24da95956596cdec01f836d9873432bd9533f","observation_id":"0eaa5481-5e8b-4006-ad9a-6ae30aa9180c","resolution":{"observed_at":"2026-08-12T15:58:00.790130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.775422Z","title":"Comparing community structure identification,","venue":null,"work_id":"c2f45661-ee4f-4693-8112-23d7ef5f0a83","year":2005},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.672039Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:5db6997800fdda2625c38d9d52eebcc14c8111eacb073d4711cd73b5b915565d","observation_id":"b28b2185-1673-4792-a249-dda374296a30","resolution":{"observed_at":"2026-08-12T15:58:00.779462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.764005Z","title":"Proof of biased behavior of normal- ized mutual information,","venue":null,"work_id":"d8016992-08dc-4688-b28b-e33e75225947","year":2024},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.675874Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:fdbe59d5e065c9eb2cac2cbc57e404dfc9dba66fe16b285f07aea1dc712265c7","observation_id":"231b768b-a156-486e-9f3f-dce3f318af1f","resolution":{"observed_at":"2026-08-12T15:58:00.767833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.753012Z","title":"Chiquet, A","venue":null,"work_id":"40a9bddb-132b-440e-b115-cccaacf1e5ec","year":2018},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.679758Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:5d7e56d3b21d84db2e3ae0a68ee00b8016f20b60a89aa8ee3b0463cf80607c27","observation_id":"73c82c38-c841-40ad-ab96-f99633b33458","resolution":{"observed_at":"2026-08-12T15:58:00.756899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.742059Z","title":null,"venue":null,"work_id":"ea45b07d-ece4-49c6-bcc3-adf0c7d4d224","year":2020},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.683508Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:5c2c760937a67e2608c0fae2cb82c6adf08aa5e7f4d748cccf58f680cab1f624","observation_id":"14cf3379-0248-4d27-be7b-b49f3ac74bfb","resolution":{"observed_at":"2026-08-12T15:58:00.745596Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.730428Z","title":"Improvements on score, especially for weak signals,","venue":null,"work_id":"329dc7fb-12ec-47e1-a27e-b5908b711d3e","year":2021},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.686934Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:6939da7e414cb1067fdec7eb21eacf0aacf171d058d52fba185a82df1cc26a97","observation_id":"2ed4a231-6a3b-4b4a-9445-94f0336e9fcf","resolution":{"observed_at":"2026-08-12T15:58:00.734384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:58:00.716592Z","title":"Fast community detection by score,","venue":null,"work_id":"c702b62b-a217-4174-a9c2-ab11ed03a48c","year":2015},"citing_paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:00.690207Z"},"links":{"citing_paper":"/paper/2412.03584"},"observation_digest":"sha256:03e994f6871d8113a88bca74a846e40d0ad628b2bbc3f2e45db9e7756173a892","observation_id":"f41003ce-902e-4a75-a840-7940492217ad","resolution":{"observed_at":"2026-08-12T15:58:00.722331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.03584","last_updated":"2024-11-21T04:20:49Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-13T05:59:16.880996Z","submitted_at":"2024-11-21T04:20:49Z","title":"Resampled Mutual Information for Clustering and Community Detection"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":17},"total_outbound_references":18},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.03584."}