{"as_of":"2026-08-16T21:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f330f68ee74d4cfea411e9e6b1a61620a6892a6771f7481761d614dafb941200","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:30:06.660827Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"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/1908.03032/citation-record","integrity":"/paper/1908.03032/integrity","json":"/paper/1908.03032/citation-record.json","paper":"/paper/1908.03032"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:30:07.029127Z","title":"Effective rule-based multi-label classification with learning classifier systems","venue":null,"work_id":"24ed7894-2f97-41ff-ad0a-19421025a81b","year":2013},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.545226Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:6e70276878a73b269a49b0f34ad5c8c81dfe520f01178a657d492bf67bb70fb7","observation_id":"b672983c-bad7-4c47-918a-f1e2c6b42421","resolution":{"observed_at":"2026-08-14T14:30:07.033927Z","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":"2026-08-14T14:30:07.015632Z","title":"An evolutionary multi label classification using associative rule mining for spatial preferences","venue":null,"work_id":"d5b9ccc8-8027-4a79-956a-25ae283eba66","year":2011},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.550645Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:4c5a73e253801f4c12d6e290729f7307d0a7198f4b29b5263f05ec8785fa9aa1","observation_id":"489e1db1-f3ea-4388-a955-21d696cbdda6","resolution":{"observed_at":"2026-08-14T14:30:07.020099Z","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":"2026-08-14T14:30:07.003919Z","title":"Evolving multi-label classification rules with gene expression programming: A preliminary study","venue":null,"work_id":"45e8efb0-db68-44c4-abd1-367ae8caf109","year":2010},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.555384Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:327e1af17feec211205d5cb32ae51aa6a8aa7fbb32cf601ec50c48cf7fef6ae7","observation_id":"f0e82f4f-cfa9-4918-bd05-c275d91df133","resolution":{"observed_at":"2026-08-14T14:30:07.008257Z","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":"2026-08-14T14:30:06.991612Z","title":"Learning multi-label scene classification","venue":null,"work_id":"55d73d86-eb01-4958-afd8-a81241d98a06","year":2004},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.559212Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:3bbf33cc066e74fe918951a37b27e73a255b1c05a100baf18ff0e5077980b490","observation_id":"a7212b3f-8af2-4cce-8723-9ab637e4b3c3","resolution":{"observed_at":"2026-08-14T14:30:06.995678Z","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":"2026-08-14T14:30:06.979100Z","title":null,"venue":null,"work_id":"a6278585-fba2-48c6-8fb4-f99595b0a6d7","year":2001},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.563109Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:852d1623f9ed2d17815911ad9fd54bf814c5dcc57353137947cd033bc9ca4dcf","observation_id":"8beb1d08-f6b5-4214-9b2a-a30c8898a5a3","resolution":{"observed_at":"2026-08-14T14:30:06.983715Z","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":"2026-08-14T14:30:06.967147Z","title":"Gibaja, and Sebasti´ an Ventura","venue":null,"work_id":"c2e4f0e3-eeb5-4842-bc04-da35fe51d478","year":2013},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.566636Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:773397c77fa7ad2112c8bd170b5a793882aa0943dc50bf113426467c0505bf58","observation_id":"281a2753-6b7d-418e-a969-81fe9e5bf05c","resolution":{"observed_at":"2026-08-14T14:30:06.971066Z","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":"2026-08-14T14:30:06.954789Z","title":"Fast effective rule induction","venue":null,"work_id":"9aebe73a-6acb-4528-84cc-60557a7b4404","year":1995},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.570761Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:bea458773ed47fbf86c00d8ddd0aabc00150f5ab6b00ca3e8691de8ea6d59a48","observation_id":"4216bcfe-9076-48d6-a701-5c2d69da9de1","resolution":{"observed_at":"2026-08-14T14:30:06.958468Z","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":"2026-08-14T14:30:06.942775Z","title":"Protein classification with multiple algorithms","venue":null,"work_id":"7a6bc589-68cb-4a0e-9372-4c7610a644b1","year":2005},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.575346Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:a17decb26508edf4adffb907e4de914b3c5fe227d32680ec892626b214b1970b","observation_id":"4913da6d-410f-4b50-b401-d66f75991bef","resolution":{"observed_at":"2026-08-14T14:30:06.946915Z","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":"2026-08-14T14:30:06.932016Z","title":"The geometry of ROC space: Understanding machine learning met- rics through ROC isometrics","venue":null,"work_id":"e1e476b0-0f07-4a42-9b53-6955b706fb60","year":2003},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.579007Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:dff620cb3fd0ce3a080d3298d4d9943b7d0c6b5398799d26c7466f740c58a2ea","observation_id":"9125115e-77f8-41d9-8774-29753856a2bd","resolution":{"observed_at":"2026-08-14T14:30:06.935415Z","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":"2026-08-14T14:30:06.921546Z","title":"An analysis of stopping and filtering criteria for rule learning","venue":null,"work_id":"5f3b994c-d009-4bc9-a542-5e45994f3e37","year":2004},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.583323Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:157accc40ef6e42ff26869b52fb11f97e084b394093c49cd0ee6e7151817950c","observation_id":"b0f9353a-23c1-4b80-8e38-e682f078cc6c","resolution":{"observed_at":"2026-08-14T14:30:06.925223Z","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":"2026-08-14T14:30:06.909678Z","title":"An analysis of rule evaluation metrics","venue":null,"work_id":"cdd9c493-c8d5-4946-8f37-42bea498d4ed","year":2003},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.587917Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:2c57460b013e4b35e1a656d87f1eb734dd94e396d2019c27d837168f82fa3082","observation_id":"91dbac31-f7ca-4836-8843-14ed444ee9d6","resolution":{"observed_at":"2026-08-14T14:30:06.913681Z","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":"2026-08-14T14:30:06.897911Z","title":"Roc ’n’ rule learning - towards a better understanding of covering algorithms","venue":null,"work_id":"5ce3fd1e-c63e-4fa5-bff1-942a5d36285c","year":2005},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.591850Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:908d8f0d9fa2d0635fd4110c3043461acb65b3e3a6b080f399e9672f873f2ffd","observation_id":"671144b6-291b-439f-a980-381e0bc10ca2","resolution":{"observed_at":"2026-08-14T14:30:06.902104Z","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":"2026-08-14T14:30:06.886405Z","title":"Springer Science & Business Media, 2012","venue":null,"work_id":"9e9f46ff-c140-4d74-bb99-9904eccf6d98","year":2012},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.596172Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:53c7bfd979cf375355bd96bf8ceefed4886db7b4bb9015a9c84c00c00fe94259","observation_id":"bf48d254-fabe-49d6-a881-8c27ff2b028c","resolution":{"observed_at":"2026-08-14T14:30:06.890544Z","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":"2026-08-14T14:30:06.873986Z","title":"An empirical investigation of the trade- off between consistency and coverage in rule learning heuristics","venue":null,"work_id":"fcd6ea31-4701-4eb9-a827-bf9a4eb4d12a","year":2008},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.599937Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:6cb527ab6c35fee8562d23d164dc04187c74fdb19209fedf4e777492df319a16","observation_id":"75e741b5-11cd-489d-94c2-f5f796ee6423","resolution":{"observed_at":"2026-08-14T14:30:06.878441Z","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":"2026-08-14T14:30:06.861157Z","title":"On the quest for optimal rule learning heuristics","venue":null,"work_id":"9d9bbfac-b1ec-47ff-870b-f1b660d10d93","year":2010},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.604556Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:c7c767be609f3af69f9ccf12ecb93ec0d552e709190c73088a7da83d7e0c6a65","observation_id":"32a729c8-428b-4b03-ae31-3b69bdb63edf","resolution":{"observed_at":"2026-08-14T14:30:06.865516Z","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":"2026-08-14T14:30:06.848650Z","title":"The enron corpus: A new dataset for email classification research","venue":null,"work_id":"49001be4-eae7-4594-ad45-a8e535f81c8c","year":2004},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.608431Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:774b7b04dceb1c83b119c338fe338a2449457263723bf822efffd6d1f874f67d","observation_id":"2a32fc25-5bdd-4f73-9953-8986a5e98756","resolution":{"observed_at":"2026-08-14T14:30:06.852808Z","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":"2026-08-14T14:30:06.834497Z","title":"Interpretable decision sets: A joint framework for description and prediction","venue":null,"work_id":"19f5ef98-0af2-4b1f-9714-82b199a1a3a8","year":2016},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.612308Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:4c7b74c4966a8fc0c9138d8fe6ea4e84f8992f71f61561acbab58c6f178fe185","observation_id":"e6cfee57-b145-4386-b104-83440207802e","resolution":{"observed_at":"2026-08-14T14:30:06.839761Z","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":"2026-08-14T14:30:06.820612Z","title":"An evaluation of phrasal and clustered representations on a text categorization task","venue":null,"work_id":"7c7e5b11-10a8-4af7-84ee-ed939bcf153e","year":1992},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.617522Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:0301a3a6384fbf5a07f4f34d91d237ae8a05471879f35c3110e338a34a846209","observation_id":"d2d92828-347a-48f8-bcf5-5c19c2f861aa","resolution":{"observed_at":"2026-08-14T14:30:06.825476Z","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":"2026-08-14T14:30:06.806055Z","title":"Multi-label Classification based on Associ- ation Rules with Application to Scene Classification","venue":null,"work_id":"fb0b4d71-3555-49ec-9e38-4d26d87c7a25","year":2008},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.623301Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:26b7f1d5f30c891c89dd5aa6ccf3a1b821687b2173cca31e5e0e4f68efba2b7b","observation_id":"1a8d2c73-5cef-4140-9dc4-18d96f3a675b","resolution":{"observed_at":"2026-08-14T14:30:06.811569Z","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":"2026-08-14T14:30:06.791212Z","title":"Learning rules for multi-label classifica- tion: A stacking and a separate-and-conquer approach","venue":null,"work_id":"17b1d1b6-0d59-4feb-a012-4150719683bd","year":2016},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.629490Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:7bbbc64e0f245799ecf25adf2c2c1729410f49407a1fc3f62ab5b6a532310db0","observation_id":"b021f33f-d030-4bdb-9cce-6e98ad6e018a","resolution":{"observed_at":"2026-08-14T14:30:06.795896Z","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":"2026-08-14T14:30:06.779493Z","title":"A shared task involving multi- label classification of clinical free text","venue":null,"work_id":"540e0c7a-e78e-4971-9c9a-436fa983b338","year":2007},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.634975Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:d3ce13773ab936889697ac647aa3882a7bcc530cc6b0bc62e363209a796a4fbe","observation_id":"72b85426-f930-4d53-82f3-042461575371","resolution":{"observed_at":"2026-08-14T14:30:06.783426Z","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":"2026-08-14T14:30:06.765481Z","title":"Exploiting anti- monotonicity of multi-label evaluation measures for inducing multi-label rules","venue":null,"work_id":"dca4514e-5e53-492f-b1a1-f43ee6cbbffa","year":2018},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.640321Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:e3d6b3f4a8781d82b0ded16d966a903b13e77989e685ac1696fc27f098409667","observation_id":"9ca864fc-2fec-4889-8bf5-ac74c58e9850","resolution":{"observed_at":"2026-08-14T14:30:06.770529Z","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":"2026-08-14T14:30:06.750927Z","title":"MMAC: A new multi-class, multi-label associative classification approach","venue":null,"work_id":"beec677b-cfc7-4ac9-9c7c-153e28447ad2","year":2004},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.645147Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:f728ec936cbdbf6c52a1ff6fcc93fca5509ef64cbebe7b5fe94f81cccd03db1c","observation_id":"a5e27291-af94-4d75-a6b3-dbcf667ba54e","resolution":{"observed_at":"2026-08-14T14:30:06.755402Z","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":"2026-08-14T14:30:06.737537Z","title":"Multiple labels associative classification","venue":null,"work_id":"a6acf583-78f9-419a-b777-e0d9900fb7c4","year":2006},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.649098Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:3759e40ba5ecd516917c4e6606a818ad9a8c268b1504612ae97cffac0a9e7279","observation_id":"a02ce4d4-7f0e-455d-8351-2145e4c6936e","resolution":{"observed_at":"2026-08-14T14:30:06.742507Z","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":"2026-08-14T14:30:06.720713Z","title":"Multi-label classification of music into emotions","venue":null,"work_id":"cbca4a76-9b18-448c-a84b-fd0efc29bd96","year":2008},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.652807Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:12e8ace65b01025e64863b5c257ffc6837d615a45b5b31bb8bce6b73b747e4ec","observation_id":"c562eef2-5e98-4c3c-9828-91ca13b6f89d","resolution":{"observed_at":"2026-08-14T14:30:06.726922Z","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":"2026-08-14T14:30:06.707527Z","title":"Mining multi-label data","venue":null,"work_id":"ac978064-04b6-4ed1-ac7e-3db38eafbd3c","year":2009},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.656710Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:16a3f9bfa13866690cf2509c3129e346354dbc789f88da042d94468be32fe60d","observation_id":"fd619031-94cf-4e1e-a7a1-a3e275f9fc33","resolution":{"observed_at":"2026-08-14T14:30:06.711643Z","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":"2026-08-14T14:30:06.689959Z","title":"Semantic annotation and retrieval of music and sound effects","venue":null,"work_id":"5f037861-9e80-4983-bcef-deba4be9cde7","year":2008},"citing_paper":{"arxiv_id":"1908.03032","last_updated":"2019-08-08T12:13:18Z","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:30:06.660827Z"},"links":{"citing_paper":"/paper/1908.03032"},"observation_digest":"sha256:6c9acca3f7cbb4889b07fea6aa358e697b0eb313857620602ae3ce154d7ee7d7","observation_id":"15a69d4e-b546-40e8-a13d-c5e9f04b3635","resolution":{"observed_at":"2026-08-14T14:30:06.697313Z","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":"1908.03032","last_updated":"2019-08-08T12:13:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T10:27:11.748166Z","submitted_at":"2019-08-08T12:13:18Z","title":"On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":27},"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 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.03032."}