{"as_of":"2026-08-08T04:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6275946d64b498c9822b297cf63c9e89cce2ebf7984bbe32417041e81fcab3e3","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":"2026-07-10T09:13:53.078045Z","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":"2026-08-07T06:34:17.273281+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/2607.08334/citation-record","integrity":"/paper/2607.08334/integrity","json":"/paper/2607.08334/citation-record.json","paper":"/paper/2607.08334"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T09:16:59.699674Z","title":"7th Hellenic","venue":null,"work_id":"bd26f54f-4659-4be9-9dd9-83fe0f44438d","year":null},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:7ea14f3753228b7d547bb7dd5af1719c7ce918bae1f6802c66c25a87341b1417","observation_id":"e04f35c1-1c6d-4d40-aa8a-788b6660c30d","resolution":{"observed_at":"2026-07-10T09:16:59.700721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.709470Z","title":"Nearest Neighbor","venue":null,"work_id":"bbe75e9d-a872-45c1-a780-72fa4dbc83e9","year":1999},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:dfa78b0b6a56bb052dab2326b219b1f476dbf08628719167b85e602be73e03f8","observation_id":"3018b0e9-ed7a-49af-afdf-f683b1124e8b","resolution":{"observed_at":"2026-07-10T09:16:59.710830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.686244Z","title":"title =","venue":null,"work_id":"2696d0ec-51ba-4fe4-bd20-7110213bcbc9","year":2006},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:e7cb12b268ee44793dcef4750ce3e8212ee891f799b0f8ec501e5e25e0f21293","observation_id":"1334ad63-ecb2-4cd6-855b-866a024a822c","resolution":{"observed_at":"2026-07-10T09:16:59.687829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.693865Z","title":"1933 , publisher=","venue":null,"work_id":"8a3e9c77-47bb-4176-b535-74e619cf28aa","year":1933},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:d1924440e30cffa3781eccea3ecf6d5f0bf0dd4f1053450f88b1258e084b555e","observation_id":"f38b64d0-7cc1-4ce0-a72c-c45b7b5c9184","resolution":{"observed_at":"2026-07-10T09:16:59.695201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.695795Z","title":"Journal of the American Mathematical Society , volume=","venue":null,"work_id":"2ed876b5-f21a-481f-b2e2-7428c50bee5a","year":null},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:7a00d5e7a60e678ff5cd0d6eaa77a2c741f421c121290028f0973e85f5d7430c","observation_id":"b28d50f0-974e-4f73-9573-d76fc31509b8","resolution":{"observed_at":"2026-07-10T09:16:59.697145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.692076Z","title":"Biometrika , volume=","venue":null,"work_id":"21a457b9-e854-4bd3-b04b-3b27c3dff091","year":2009},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:65e3bba288cc9c0c169a59229f8c9379cd14a413e4386e0e9ff9a443d2ee7d64","observation_id":"b2413f71-4fbe-410b-85fa-f9de3a32180c","resolution":{"observed_at":"2026-07-10T09:16:59.693308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.666835Z","title":"1977 , edition =","venue":null,"work_id":"96e4d60e-db13-440e-96bd-728a64626768","year":1977},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:45bea11a0cb808c59ec7d7c5fbda5836c545760e437bab65649f654a0a74bc4e","observation_id":"05a9c0cc-b80b-4121-ba97-3c6dc10f81e4","resolution":{"observed_at":"2026-07-10T09:16:59.668133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.705089Z","title":"2001 , edition =","venue":null,"work_id":"48e1195c-49c6-46bc-b3ee-ab6e596dcfba","year":2001},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:6c9afc71b740f7b503ac45b739bfe957aa9ada54930ffd429a9513f1244a2a0b","observation_id":"b22596c5-488f-4aa9-92ac-23b435e41fe9","resolution":{"observed_at":"2026-07-10T09:16:59.706591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.07269","last_updated":"2018-10-30T09:48:51Z","snapshot_observed_at":"2026-07-06T05:52:17.418793Z","submitted_at":"2017-07-23T09:32:55Z","title":"Large sample analysis of the median heuristic","version":3},"cited_work":{"arxiv_id":"1707.07269","doi":"10.48550/arxiv.1707.07269","metadata_source":"pith","pith_arxiv_id":"1707.07269","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Large sample analysis of the median heuristic","venue":"math.ST","work_id":"4738ba8e-0474-40ef-b521-fdbdfe707df3","year":2017},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"cited_paper":"/paper/1707.07269","citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:730a612e324f60bcca22aac88203ea866a458016c242e73f49fffcea8649c84d","observation_id":"d4be0201-c280-469c-8fb6-3b2b87331209","resolution":{"observed_at":"2026-07-10T09:16:59.441493Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.707368Z","title":"IEEE Transactions on Information Theory , volume =","venue":null,"work_id":"90304648-a6bb-4872-ba20-c8d8eafffe6d","year":1972},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:3529f0ccbe9943e78593a57d7e4709ad99ed903810234a0da82e435133fa85a2","observation_id":"abfb8c73-77ee-425e-b4ed-2c10f29324e8","resolution":{"observed_at":"2026-07-10T09:16:59.708831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.680264Z","title":"2002 , url =","venue":null,"work_id":"56145697-d5a5-4e26-8a58-b0ca186e8267","year":2002},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:16b422d312a96da229cd958975775807d95f418d97da8798ca43443ee584edb0","observation_id":"377a6df3-f79d-4014-8875-61649fd5ac78","resolution":{"observed_at":"2026-07-10T09:16:59.681841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.692251Z","title":"2013 , edition =","venue":null,"work_id":"343451c1-bbce-495f-8adb-4966fff1ef1a","year":2013},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:cbb1fb640d116d9138231d23186784dd879e6ff33a6faed60b6c932abb7273b0","observation_id":"210205bc-d08b-40b8-94c4-d2ac4266b77d","resolution":{"observed_at":"2026-07-10T09:16:59.694031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.698956Z","title":"SIAM Review , volume=","venue":null,"work_id":"94dca79f-c5b8-453a-9745-7dd1ddd08874","year":2011},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:df8083c7ac5629a492cb7834e5df69f9df70b50a15055b598e93b979bd78c484","observation_id":"0767cbe2-0eb6-4bdc-b154-d692371c1d3a","resolution":{"observed_at":"2026-07-10T09:16:59.700523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.701290Z","title":"Journal of the Royal Statistical Society: Series B , volume=","venue":null,"work_id":"c62cfec9-d648-462f-af0d-e410f2a969f2","year":2005},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:20a2405b261a69e67e043c0463caebcc84a4d4706e6730457783ec40493d7f90","observation_id":"66513f3f-c023-4c7b-9336-15b896a8634f","resolution":{"observed_at":"2026-07-10T09:16:59.702458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.711482Z","title":"IEEE Transactions on Information Theory , volume =","venue":null,"work_id":"f9d44c97-e9c7-4c15-82bd-4687c1b59839","year":1968},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:6fc386894b79ec6dcd11956b6d47573a0bffeb7714f0a2f7457a310fd3242cfc","observation_id":"4161291e-649c-46bb-9d67-3047cbd3f0de","resolution":{"observed_at":"2026-07-10T09:16:59.712900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.689985Z","title":"2009 , edition =","venue":null,"work_id":"9c9193c6-79e5-433c-b2ac-625073c1fd3c","year":2009},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:6c7dfe7087e702d65d4cd4a4aa285e89ecd53b7f95e19e4e8b01683eef3b471a","observation_id":"e2ffbc80-b268-4432-9c6f-c2b9520431c1","resolution":{"observed_at":"2026-07-10T09:16:59.691612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.697689Z","title":"Foundations and Trends in Machine Learning , volume=","venue":null,"work_id":"2b75f7f7-d465-4074-8afb-97164146871e","year":2012},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:2530205239e7c9e8e633c29330f88418b872a0e20ea2e06d095fa61e24370241","observation_id":"1526619b-2297-447a-85da-54c46028015e","resolution":{"observed_at":"2026-07-10T09:16:59.699082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.703346Z","title":", title =","venue":null,"work_id":"81cc7a97-d246-4f27-99f8-d745daaae47b","year":2001},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:b991c935622962b064b7d1c962fa1234ee1d30637a655fe384ee27401dc879c2","observation_id":"b09a5c90-6c83-4733-824a-d4907db8888e","resolution":{"observed_at":"2026-07-10T09:16:59.704620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.672537Z","title":"Pattern Recognition Letters , volume=","venue":null,"work_id":"d8ed4611-3e7f-4dae-931d-d6b955cef7e9","year":2016},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:2acd5048ac4f20baf5f7f610b946a290d7dab027a45aa6adeff24efd46c97a27","observation_id":"c4471383-5fd2-4406-a010-f4f07085ce28","resolution":{"observed_at":"2026-07-10T09:16:59.673890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.682507Z","title":"Combinatorics, Probability and Computing , volume =","venue":null,"work_id":"929bc20d-9396-4e8d-be7d-a0a9bdee2702","year":2014},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:25c71512031f06867ff51f17a4040bc349563d7a6a10aad069c32e62ffef2da8","observation_id":"405a9787-e740-41fe-85e2-3895b8154c14","resolution":{"observed_at":"2026-07-10T09:16:59.684590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.678350Z","title":"Journal of Machine Learning Research , volume=","venue":null,"work_id":"330f41eb-8d14-4f8e-bc6d-f917b95a5d19","year":null},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:efb8a26c696479efe9b9d464b79de2bd53d3e68af8cc8c83a5eaca43d72f5055","observation_id":"325f447c-4482-47a5-99c4-3e40679d617f","resolution":{"observed_at":"2026-07-10T09:16:59.679564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.688416Z","title":"Advances in Neural Information Processing Systems 20 , pages =","venue":null,"work_id":"f714bcb0-88ec-4866-b8f5-d466dc69eedd","year":null},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:0dd62e8d54f7089c1daf83735413a5a871fe4a43822fadc0d6b189d3edf951b6","observation_id":"4d1580a6-e983-4fea-9cf8-d2554a7d22f2","resolution":{"observed_at":"2026-07-10T09:16:59.689738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.713536Z","title":"On generalizations of some distance based classifiers for","venue":null,"work_id":"ef46c5cf-5534-4ae9-bf93-34e66588bb4e","year":null},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:bebfdd3a4cc86ba851342bfe403509f6ef2773fcbd419982c5338e84d06e4d6a","observation_id":"9a7cb2dc-fe5c-4233-a138-808db137f9cd","resolution":{"observed_at":"2026-07-10T09:16:59.715215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.695019Z","title":"Machine Learning , volume=","venue":null,"work_id":"4ba0e36d-f845-4fa1-a480-969d3bdc766f","year":2020},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:6c1d0659afda7dd42e6e40dc545bfa34b178bcfbc47a4fdbd49ea56acbbcb30c","observation_id":"c4ee2679-b688-459c-be13-96ef4df6981d","resolution":{"observed_at":"2026-07-10T09:16:59.696414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.682125Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=","venue":null,"work_id":"73cfe462-0d0f-451c-ae3f-afac0503ed76","year":2020},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:dbad0e15c31d629b05c424d7782a911e96620140bcb30e8ab0ec2e75b8f630c8","observation_id":"b562ab71-ab68-46ef-a9e1-4936f620dc98","resolution":{"observed_at":"2026-07-10T09:16:59.683526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.702774Z","title":"International Journal of Machine Learning and Cybernetics , volume=","venue":null,"work_id":"4e198616-2d05-46e5-83d1-a4b323049aff","year":2014},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:0ce9b619fdbd4ceab4bb8beae6ed5c1e34903cbe6b721b9a1c3afcfe813c0f71","observation_id":"0402e7f5-538e-4537-9b0d-b8163ff441cb","resolution":{"observed_at":"2026-07-10T09:16:59.704461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T09:16:59.671170Z","title":null,"venue":null,"work_id":"7c4e8b8e-03ec-4274-bfa4-c453b6e5d5dc","year":null},"citing_paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-10T09:13:53.078045Z"},"links":{"citing_paper":"/paper/2607.08334"},"observation_digest":"sha256:dd79a039067d477ca089b314c54aeb7e31c8994d6840cd915a18efc61e842cec","observation_id":"ce383824-20b2-4a34-8ba5-91b5ee89381e","resolution":{"observed_at":"2026-07-10T09:16:59.672257Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.08334","last_updated":"2026-07-09T10:19:57Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-07-12T23:18:27.429194Z","submitted_at":"2026-07-09T10:19:57Z","title":"A scalable version of MADD for big-data classification"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":25},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.08334."}