{"as_of":"2026-08-17T14:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ec6a3c92a2b522126f5e80d8eed5d865b864c7d0680ab58a80806bac8c9b7ebb","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:31:24.039004Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2506.13903/citation-record","integrity":"/paper/2506.13903/integrity","json":"/paper/2506.13903/citation-record.json","paper":"/paper/2506.13903"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:31:24.312365Z","title":"Bioinformatics26(10), 1340–1347 (2010)","venue":null,"work_id":"f0ea4b1a-293f-4530-b701-2f7957c2f0eb","year":2010},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.373801Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:e1be74da217183c4596ce41541a391cf10a95ed93e8bbd2a48b312e8cad680e3","observation_id":"a90f9a9c-7ecf-4add-a740-05b598d0acc5","resolution":{"observed_at":"2026-08-07T00:31:24.316131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.303171Z","title":"IEEE journal of biomedical and health in- formatics19(5), 1557–1566 (2015)","venue":null,"work_id":"56657ae0-6488-435c-aa5a-2bf62ddda1f8","year":2015},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.488983Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:ece73393f6856274b881c9f3cb59e74456d19f05d78e53e11637ced670211c55","observation_id":"8cd9c90a-d15b-4c9d-a6bd-9d2d39a6367b","resolution":{"observed_at":"2026-08-07T00:31:24.306340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.294589Z","title":"Expert Systems with Applications39(14), 11766–11774 (2012)","venue":null,"work_id":"f5002667-cd93-4761-8e3c-8fb7d389baf8","year":2012},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.552887Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:c5e4c44c5e4e11a35e00cf795923d91221b7a73823781d840cb2598db18b2a52","observation_id":"51b9a523-d89e-4ea4-a793-9ad76e55b9d8","resolution":{"observed_at":"2026-08-07T00:31:24.297534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.286074Z","title":"In: Machine learning proceedings 1995, pp","venue":null,"work_id":"5831baf2-1d0f-4ce8-b945-9e004cb37687","year":1995},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.619084Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:0491f82983550b9775c91cad504518824eeca42ec135dbb1638a5262fa44c6b6","observation_id":"aec052a9-9093-4693-a261-6657099cd384","resolution":{"observed_at":"2026-08-07T00:31:24.289093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.277702Z","title":"Computers in Biology and Medicine162, 107064 (2023)","venue":null,"work_id":"e71ad549-3f76-43cf-b0ea-9be4842230aa","year":2023},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.703372Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:f449698be5e2e8d453b13e2dfc05ef10ee9654087d324efaec41f0c612253f73","observation_id":"4fb81ffa-9bed-4296-9244-41f5a2eb101e","resolution":{"observed_at":"2026-08-07T00:31:24.280458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.269019Z","title":"Computers12(6), 123 (2023)","venue":null,"work_id":"82d63426-c5f4-45b2-b18e-47077c634f71","year":2023},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.772805Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:01da2a6f7724983e4cdaf2c5d73aeffcb0307cea6cf5a21cc1af4f54f60feb22","observation_id":"3c8e258c-9fdb-4bd8-bbb8-6ebeada70323","resolution":{"observed_at":"2026-08-07T00:31:24.271695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.260456Z","title":"Bmj327(7425), 1219–1221 (2003)","venue":null,"work_id":"36dfb79c-9389-464d-890e-3c341a0a0b57","year":2003},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.865311Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:83562b267186ca4c09550e76400873473ddd140248e009f140595a589c9bda39","observation_id":"1e363937-d4b1-4d84-87ad-7254d05e9b35","resolution":{"observed_at":"2026-08-07T00:31:24.263229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.251877Z","title":null,"venue":null,"work_id":"5317c323-95fc-4ed9-9200-136534101d95","year":2017},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:22.934856Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:9f2a4081d41a58422ba7f9a9026061e225f6b1d8d95420c1e0da16d8fb7747a0","observation_id":"41fc9d20-1b82-4c0d-8c30-a3b43a84dacd","resolution":{"observed_at":"2026-08-07T00:31:24.254693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.243087Z","title":"Journal of pain and symptom management53(3), 571–577 (2017) 16 C","venue":null,"work_id":"c3534416-e48f-4224-973b-d6f44687d27b","year":2017},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.058690Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:c5929f8e6ec341e57f3d199852c3d4de2899e3910efa66c688f3fbb7640934f7","observation_id":"78a60862-df4c-4cea-8765-de84dbe90615","resolution":{"observed_at":"2026-08-07T00:31:24.245991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.232480Z","title":"Data & Knowledge Engineering63(1), 167–182 (2007)","venue":null,"work_id":"c1944438-010d-4414-8814-dafed6dde91d","year":2007},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.142168Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:816915e32a12060ab7631450c50ee6ef6e6191d4c0c6f5446c551cb407f8c64f","observation_id":"b9d27541-cca2-42a5-a320-8d03cfdf7dfb","resolution":{"observed_at":"2026-08-07T00:31:24.236371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.222524Z","title":"KR91, 387–394 (1991)","venue":null,"work_id":"2c3f3d3e-9f06-4261-8b0c-5702a0bd3965","year":1991},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.183844Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:1a625df133de17f17d57ac80cc05657736d4b7fd0f0571b98d01557ba023a830","observation_id":"3d75f92f-3e05-488a-b7de-992191bab063","resolution":{"observed_at":"2026-08-07T00:31:24.225550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.213775Z","title":"In: Machine Learning and Knowledge DiscoveryinDatabases,2010,Proceedings,PartII21.pp.145–161.Springer(2010)","venue":null,"work_id":"9fc6362c-a024-4e5b-b291-a1c45ab337b1","year":2010},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.255842Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:1c733f4c24ef5ac4c44b45efedb2f72460fb0cdda5d301bc97f4584daf3efdc2","observation_id":"f98b06e2-24ca-4420-aa29-0d7f80192918","resolution":{"observed_at":"2026-08-07T00:31:24.216714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.203803Z","title":"IEEE Journal of Biomedical and Health Informatics (2023)","venue":null,"work_id":"1fb78b54-3319-4f40-9298-c97caa9999a0","year":2023},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.299415Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:3b7bdc6eb43e3cb495917adba623282d424d35e61ad7c6bc8a864154768c0791","observation_id":"b9a58e62-2741-479b-b098-7a338d270dd9","resolution":{"observed_at":"2026-08-07T00:31:24.207001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.194380Z","title":"In: 2016 IEEE 8th International Conference on Intelligent Systems (IS)","venue":null,"work_id":"737c30f5-788b-4e02-bc98-a288c5089259","year":2016},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.381540Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:1ba45dfbc5faf7a4947136de271204066ab0a50d8c9b2aa73988e87e6d925960","observation_id":"250f7a8a-9a1e-4487-b16f-d3de99cfb0aa","resolution":{"observed_at":"2026-08-07T00:31:24.197607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.184740Z","title":"In: 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","venue":null,"work_id":"683c55d8-45a4-4daf-9176-53d17a184b3e","year":2015},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.493748Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:a464d389594872eec5caf8ac8f778f15a0c0d2e2a92b6f82fad58be7a31c7d71","observation_id":"9ede28f9-72ba-4dce-9555-467551c1ffd4","resolution":{"observed_at":"2026-08-07T00:31:24.188506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:23.656345Z","title":"Advances in neural information processing systems30(2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.656345Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:867e8bfe2b1185c51481661379045f2317cdde4689ca3237e06ba57200fd77cf","observation_id":"80dfe421-8bee-422f-a222-a8396599baee","resolution":{"observed_at":"2026-08-07T00:31:23.656345Z","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":"2026-08-07T00:31:24.169653Z","title":"Diabetologia 63, 519–527 (2020)","venue":null,"work_id":"56cf0973-dd92-48c2-8200-dc68879b9868","year":2020},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.773206Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:d8b83c2bd2e95edacc86454ad48d65ff2f1510adf188a8bc5dc8483ad0cf8a06","observation_id":"9f325598-0aa3-4d14-8ebe-5f19bab42b49","resolution":{"observed_at":"2026-08-07T00:31:24.172498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.160349Z","title":"International Journal of Academic Information Systems Research (IJAISR)3(7), 1–23 (2019)","venue":null,"work_id":"316df551-43e9-4ae6-8b21-16553d192cfd","year":2019},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:23.865285Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:718074f108a0ed9efe7d5840212eb2bbc787f7c062149947d69d328c0fc52c02","observation_id":"836c9000-133a-4515-aba4-c059d863e876","resolution":{"observed_at":"2026-08-07T00:31:24.163477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.151697Z","title":"In: Biomedical informatics: computer applications in health care and biomedicine, pp","venue":null,"work_id":"71c2fc7a-68a3-4bbf-860c-5adeaa4ade0d","year":2021},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.007227Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:cf0708822431fc47c220b8055192ee327c7b8fa26c4436c7e0a86b1f05cfb69b","observation_id":"d01015c7-a82b-4765-8650-b7fb8305500a","resolution":{"observed_at":"2026-08-07T00:31:24.154661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.142864Z","title":null,"venue":null,"work_id":"b3e62b17-0b69-4e45-9b15-f3445410c93d","year":2018},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.011474Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:3e1d0e5a947195e3ae871e8adcbd46fcc4957bc4ca31a00faa71b22d9f152616","observation_id":"db6976e8-98ab-4e27-8a33-8d49f3e1c0d3","resolution":{"observed_at":"2026-08-07T00:31:24.145624Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.133861Z","title":"IEEE Transactions on Fuzzy Systems21(6), 1133–1149 (2013)","venue":null,"work_id":"0a142cf4-909a-4ceb-af8b-19f7fcb20323","year":2013},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.015474Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:e0528b7d53d487905618e28ad54d58265ae857c02e0c841b1f6d78f9d02729c4","observation_id":"557ccb56-f2bd-4dcd-b08a-ca7bcfefe669","resolution":{"observed_at":"2026-08-07T00:31:24.136820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.124508Z","title":"Information9(1), 6 (2018)","venue":null,"work_id":"df225621-7443-4d6a-affe-a40278e59847","year":2018},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.018595Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:01e5ba23161584d8725707cee4c8951064a8ccee92235b03fca4c6f9a6092cdb","observation_id":"329da5bb-c82d-40ad-bc99-1d07217743ec","resolution":{"observed_at":"2026-08-07T00:31:24.127452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.113626Z","title":"Data mining and knowledge discovery handbook pp","venue":null,"work_id":"86dc724c-b5f3-48af-9cfb-9619ea86b1bc","year":2005},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.022051Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:b5749bbda6ba70920908bc1fa0fcc7dfcfa44fe3a4a87b543730b93be91c0016","observation_id":"8190c9c3-6838-4f37-848d-97923cb79e51","resolution":{"observed_at":"2026-08-07T00:31:24.117417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.103935Z","title":"In: CEUR WORKSHOP PROCEED- INGS","venue":null,"work_id":"b84d5bd7-d922-44be-a06e-f08e41cba15f","year":2021},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.025897Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:c67a2da3018e1ea9aefff13c4ae515210688d43b6d6e17d5c40f31b740fb5028","observation_id":"e960eedb-c076-4c00-bed8-db768293e51e","resolution":{"observed_at":"2026-08-07T00:31:24.107152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.094174Z","title":"BMC Medical Informatics and Decision Making24 (Suppl 4), 186 (2024)","venue":null,"work_id":"38456c80-ea9a-4480-ae5f-35ad1f2d14a0","year":2024},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.029499Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:5dedceb42e2cc71e4e47f898180c5c0986627cb86b15e92bd057784b7bb6d82e","observation_id":"6efb77a2-73ce-4226-a35f-22e8a4f883e5","resolution":{"observed_at":"2026-08-07T00:31:24.097609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.085171Z","title":"Artificial Intelligence Review53(2), 907– 948 (2020)","venue":null,"work_id":"95ad9262-84bb-41f1-aa07-1e4b3ee4372e","year":2020},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.033132Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:50d19bd230848e2bc0d29100e082a4730a2b1c6767a634d4d8f768e3e0038f96","observation_id":"66e0e311-8107-4ca0-bddc-15adb89241a8","resolution":{"observed_at":"2026-08-07T00:31:24.088025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.075096Z","title":"In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining","venue":null,"work_id":"f498c32a-2d28-444f-ae75-cf690baea664","year":2002},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.035843Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:2421009aa582b8e7bf7aa4bff0b04ce19ce85a46e566df5b7ed1745d6a3432d0","observation_id":"105f3666-3fb0-4519-b369-7e96b1a3894b","resolution":{"observed_at":"2026-08-07T00:31:24.078433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T00:31:24.063821Z","title":"Physical review E76(4), 046115 (2007)","venue":null,"work_id":"6a1d0ebe-73bd-4651-9d2f-7c4df8760018","year":2007},"citing_paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:24.039004Z"},"links":{"citing_paper":"/paper/2506.13903"},"observation_digest":"sha256:01392636754792775600056a0bd762f6aecd3ca6f8c7ebf7d8f8df9648ce586a","observation_id":"955c3bd6-4f00-49df-84c1-805f759c3f83","resolution":{"observed_at":"2026-08-07T00:31:24.068222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.13903","last_updated":"2025-06-16T18:29:37Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T16:48:37.995313Z","submitted_at":"2025-06-16T18:29:37Z","title":"Enhancing interpretability of rule-based classifiers through feature graphs"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":25},"total_outbound_references":28},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.13903."}