{"as_of":"2026-08-09T20:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0221523884f199fea0b21a1f8d7e987df79de158ecce14f8a447a2a00e8f9c26","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-07T15:06:24.796438Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2604.26983/citation-record","integrity":"/paper/2604.26983/integrity","json":"/paper/2604.26983/citation-record.json","paper":"/paper/2604.26983"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b0dd35a8-e8c8-419d-a13f-f5c811f8c681","year":2020},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:59c218b4da98adaeaa6ef04ecd10d1dad12166e28d5c98ff47bca8cbdb99f9d5","observation_id":"ad00a177-d2d6-4262-a95b-66bf62767ae6","resolution":{"observed_at":"2026-05-27T03:48:46.546746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0e3289e6-df8f-46d9-8ed4-bb6931909824","year":2016},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:8bbd9fcdccb46a1b58a44c3d075026beba47d4f8aae0cff47d2aa111f253a9ca","observation_id":"316f11c5-ecc4-47f8-aabb-d8306c9848ab","resolution":{"observed_at":"2026-05-27T03:48:46.552749Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"M., Navimipour, N","venue":null,"work_id":"b5f625d2-a0a2-400e-9700-f630ec85f961","year":2020},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:3d5fbd38abac00a6be9e4a0deda7101698bf89432372752c1751fae905017efc","observation_id":"75c0fe73-d52f-4323-823c-597e0e6e60c2","resolution":{"observed_at":"2026-05-27T03:48:46.540854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Meisen, T","venue":null,"work_id":"27abcc2e-c17d-44d2-bb7f-d46e3f12d307","year":2023},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:a8945f53dbcc712812940869bd5d19be8b895f8ac0fa8bfcc06abab7651f164d","observation_id":"46c25c48-8e8e-4093-8dfd-7855c05a3a0a","resolution":{"observed_at":"2026-05-27T03:48:46.543828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"J., Shin, H., Kim, W., Long, S., Blumestein, G., Chang, M., Lewin-Eytan, Y., Huang, L., and Yom-Tov, E","venue":null,"work_id":"9be5f29c-659d-41d1-8489-e99fa4c55c89","year":2025},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:d93ac11c00039b572defd7a3d0e97a2f788c6a57e8160075ea129e890c0615f6","observation_id":"8d58974e-085d-4bf7-8bc9-157c2f6c835d","resolution":{"observed_at":"2026-05-27T03:48:46.560392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"K., and Tiwari, M","venue":null,"work_id":"acc20cad-530f-402d-8bbe-b723b31b3778","year":2019},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:2df779a5d9d0d3b6f63595668d8efe716fcb8999218d78dacae7c6f54ca8ce85","observation_id":"67288699-5bcb-4511-8e91-7aa5116a3de0","resolution":{"observed_at":"2026-05-27T03:48:46.549676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A., Sharma, D","venue":null,"work_id":"56516076-3397-4d45-b45d-322e3e8a493e","year":2022},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:111818db81d4f0ab8fdce5bb58d4ec52e7684b5be97189270f6be36825a697a9","observation_id":"267b35fb-eb0b-44e0-b222-99e238b68be4","resolution":{"observed_at":"2026-05-27T03:48:46.563397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.12839","last_updated":"2021-09-27T07:17:30Z","snapshot_observed_at":"2026-07-06T11:51:36.547467Z","submitted_at":"2021-09-27T07:17:30Z","title":"Review of Clustering-Based Recommender Systems","version":1},"cited_work":{"arxiv_id":"2109.12839","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2109.12839","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Koroteev, M","venue":null,"work_id":"a91aa419-80f5-42b7-b124-5f20d89461bc","year":2021},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"cited_paper":"/paper/2109.12839","citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:fdfabe0e44c94a31e936021375b854fdb43f5395dac2912f9c3cbd0ac926e97d","observation_id":"b2baafcf-70a1-4ad4-8aeb-20767c7d98fc","resolution":{"observed_at":"2026-05-12T00:31:19.210468Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Zhu, D","venue":null,"work_id":"510c6c35-4750-4223-a77a-e1c60ecd8cb0","year":2019},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:6cf4f7e78b577a4d83d1c6225ebbf660c386bd1728069beb67770b6cc554f0b3","observation_id":"6f56db2c-f61c-4d71-b7a9-21228d9b480e","resolution":{"observed_at":"2026-05-27T03:48:46.556108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.24432/c5cg6d","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"UC Irvine","work_id":"60b1f5a6-4ff5-4015-a6ea-97924dc34c49","year":2012},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:87779a8c95fb0f5f17a5fdefcac64b9247231ce595fa5e09b32c2c4609405d5e","observation_id":"73398843-0c9e-47be-ab3c-e1ce8759023b","resolution":{"observed_at":"2026-05-09T02:39:39.327072Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d0ff46b3-a3f1-43b2-9677-6edf46f2b75c","year":2008},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:6bed9131509d71dd15aa2c77221207f0ee6c52f8a69aec63af04271885a5f05e","observation_id":"fe95c035-d45e-4235-8d47-86dc0544b3f2","resolution":{"observed_at":"2026-05-27T03:48:46.520467Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8b2327c8-ff0d-4b7d-9ab6-87647d98a834","year":2025},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:322e316931aaaac7f7e8aafde68ce0d758b0aa857a35c33cd6453475f4cb03a9","observation_id":"499f17f6-e88a-4474-beed-fc0368b8a762","resolution":{"observed_at":"2026-05-27T03:48:46.527292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"J., Umamakeswari, A., Priyatharsini, L., and Neyaa, A","venue":null,"work_id":"883052a1-b390-4a92-92c4-53ef277e1eb9","year":2021},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:c0400a575645071c6283f1a5796d31c6701c7cbaba25381a02ffd897312c2307","observation_id":"650a8a37-a36e-4878-903a-8c9ac50eab41","resolution":{"observed_at":"2026-05-27T03:48:46.533994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A., Vega-Rodr \\' guez, M","venue":null,"work_id":"b711e161-78af-47e1-8b22-3956de1d1a94","year":2023},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:3d8b9398a2f847a37827883cade92c356e0affa7ca1605e3ef08f1fb71a3029c","observation_id":"8bb2af8e-2dac-4ab4-a940-c85d86a0fc4c","resolution":{"observed_at":"2026-05-27T03:48:46.537700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"301eb837-2eeb-413e-b4e8-3cc649dd920a","year":null},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:682e8e9c1593f30e303bd60c1340e59b2fae18d27a4b8afeb39e6c0b5da12495","observation_id":"a45a9a2f-2794-43db-8c0b-eb9015b85aa0","resolution":{"observed_at":"2026-05-27T03:48:46.481879Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c181c6f9-8ef6-48f7-937a-9024dd9cbae7","year":2023},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:dc731bf64595e07ac11b2dee0f08d0102891bd5b15c1664a9f0f4b0f5f65af82","observation_id":"44339eb1-c0a1-471e-b4a7-0ec00d2e0638","resolution":{"observed_at":"2026-05-27T03:48:46.470824Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5a9668bf-7562-4559-a173-2f5b89504457","year":null},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:3b45c3e48937a1a8a7084c4153b0b84759041af826e14d001f5be0723e61a332","observation_id":"ae8dccbb-1ba4-4bb9-9f52-ce2a1dbb80cc","resolution":{"observed_at":"2026-05-27T03:48:46.486728Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d5e36c32-fc1d-4791-8c61-b2aaa3db64a4","year":2020},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:99e9881b7d1ee5c82d4418f6db09dd033455404ba852299857a5b0ff777a4327","observation_id":"d6f03060-3885-4df5-8420-396e3e630701","resolution":{"observed_at":"2026-05-27T03:48:46.514145Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0c675be1-4a20-4f50-b436-38c232794005","year":2023},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:f7f60875744fa2d46762b8dba6c3564438e9bfedfc2a41c4a53edf9b48e5b09b","observation_id":"a88d4f0e-45c1-4388-9a4f-8242ddc7c072","resolution":{"observed_at":"2026-05-27T03:48:46.539377Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3786cd3f-8e58-4e36-a59e-0642d7265ae1","year":2022},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:c968dbd179837b3c8c4bcd5efed52655665215c433c934242e03cf9eb6fe37c9","observation_id":"0fb88031-6f99-4474-b344-bc8e49ef8680","resolution":{"observed_at":"2026-05-27T03:48:46.509572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0c6ba5da-9bef-437f-aaa2-6f3bfea3f9cd","year":2014},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:a8812217139553d0b0b1993a2ed1b237c9c9598a9ea7b5a32cbd28b7f0f5dba8","observation_id":"bc12c4f6-672e-40a7-ac46-a624a3070f2b","resolution":{"observed_at":"2026-05-27T03:48:46.505593Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A., Jaoudeh, C","venue":null,"work_id":"501b0605-d8fb-4aa3-8a37-9702d5d1b093","year":2018},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:dc6ef27049bc3e6a1dd0565550a115ca720ad9283676f014f6e7ded7c5792d2c","observation_id":"05d72fd2-5ae8-4dcb-846b-a8a5785c9c94","resolution":{"observed_at":"2026-05-27T03:48:46.429209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"aaa0d782-d0cd-4e6c-ad69-c2aa4a4110d5","year":2017},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:23869288c4776f8430beb2d9cd5e2e11b6792b2595d41410c1fb04afee979062","observation_id":"949e0517-a6d7-4717-ac64-d6172c39114e","resolution":{"observed_at":"2026-05-27T03:48:46.450184Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"dc6c4f60-121a-4a5d-913e-69aa5cf04e85","year":1901},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:cb7989c2a0dabc5c35caf3120a59ac44a23c1323bdfdc1580cb68dfe0b362c9f","observation_id":"fc74f79e-c1fd-408b-abb4-7377d98da2ea","resolution":{"observed_at":"2026-05-27T03:48:46.453025Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Adomavicius, G","venue":null,"work_id":"260c13f2-0f20-4165-9057-f6d25a2a5caf","year":2017},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:1feee481f11bc45ba358f3e258f3e309f2ac30e0730cac7600dedbb5ebae418c","observation_id":"232af220-ca2b-4743-b603-d44f17b604ff","resolution":{"observed_at":"2026-05-27T03:48:46.444709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"24d4fa43-6802-44c0-9fb1-cb892abb16a1","year":2007},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:223980400a55ac4dea24f349249a3797c23fa050a1d8ea1c91a324cb85442081","observation_id":"7df7ceca-799e-4588-b631-7e0be347373b","resolution":{"observed_at":"2026-05-27T03:48:46.441730Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Kekäläinen, J","venue":null,"work_id":"f0880664-130c-4c00-8719-5bd97714a342","year":2002},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:ed824da97f0d708a54cc24ce4a4d26842fde86ec9965f849a3644073ec94dfd4","observation_id":"434bd1ef-7e50-44c1-8c82-83ea1c032c0c","resolution":{"observed_at":"2026-05-27T03:48:46.447463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Rousseeuw, P","venue":null,"work_id":"a780f6df-81f1-454f-915d-9ff81606e738","year":1987},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:693270cd848bdc0201a6ae4217d2186dd2f20ff586899f0ae266127b2a08e6df","observation_id":"0fbe4b25-e42e-4201-9555-586a499172eb","resolution":{"observed_at":"2026-05-27T03:48:46.463163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Rousseeuw, P","venue":null,"work_id":"9e69bd93-e707-4c80-92a7-f1b21b7ce76e","year":1990},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:7ebd4b7390b3843b4d90ca43b714679e918f3eafcf81217f9a36efa4604219c1","observation_id":"33d0ecc7-0671-475f-984d-f76e9d824d7c","resolution":{"observed_at":"2026-05-27T03:48:46.457410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1ef6bb0e-c1cf-467e-a081-15a1bf6c245a","year":2022},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:f76cc981efef0dec845d66054a2f6e5bc40d8ba95006f33dee426e3894e7b6ec","observation_id":"f5861223-441c-4b1c-812b-883ef015cd00","resolution":{"observed_at":"2026-05-27T03:48:46.448336Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"19029ad2-b51f-490f-9942-229c9e85d5f1","year":2021},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:103f058d00a05576f79b8d5e3e49800fcaa6da6f311d4e98fa076d00dc818f8f","observation_id":"e26e64eb-6247-41b7-9c12-d5b8726301cd","resolution":{"observed_at":"2026-05-27T03:48:46.461749Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.0080","last_updated":"2015-08-25T18:21:48Z","snapshot_observed_at":"2026-07-06T03:53:01.790132Z","submitted_at":"2014-08-30T04:15:15Z","title":"Show Me the Money: Dynamic Recommendations for Revenue Maximization","version":3},"cited_work":{"arxiv_id":"1409.0080","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1409.0080","snapshot_observed_at":"2026-07-04T20:32:16.194875Z","title":null,"venue":null,"work_id":"6fd7dc80-8d2a-451e-bf12-d84acdb5321b","year":2014},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"cited_paper":"/paper/1409.0080","citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:0d4467280e74763ca07453e585b542891fcf9f128cf0cd7e6cb3382af81a1b8b","observation_id":"e992ca31-6753-46d2-8169-b70dee3cfc85","resolution":{"observed_at":"2026-07-04T20:32:16.194875Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"D., Raghavan, P., and Sch \\\"u tze, H","venue":null,"work_id":"c71be9ba-5446-4fac-9108-015aefd33f6b","year":null},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:1dfc58c080688209099784ae15c7f6d0326d8e9c09086b86672036f0d937b7a0","observation_id":"0bbd485d-d539-4367-a378-ba28c66b516f","resolution":{"observed_at":"2026-05-27T03:48:46.485435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"D., Raghavan, P., and Schütze, H","venue":null,"work_id":"8bd77738-0a99-4f14-a421-8bd7e034ffe1","year":null},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:5ab5a60a97d3257a15bde57f472dc2e57559a2e2ec8d85f28bf97adacdaa0bd5","observation_id":"2ded3be7-fee0-4c86-b818-13d707f00e0e","resolution":{"observed_at":"2026-05-27T03:48:46.514882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d6a98f17-a219-49b0-bf00-e9105cee3c38","year":2022},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:7ac45f2ff5d8ff6567762c8ce64ae0f39c96fbaf9019f86efe8c6479c056e7bb","observation_id":"a5aeaf21-61e6-43c1-8a25-f8b3ee0651ac","resolution":{"observed_at":"2026-05-27T03:48:46.524432Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Khademolhosseini, H","venue":null,"work_id":"af7cfcb0-1039-446d-938c-5a092817b5be","year":2020},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:589b9d243b9c516f96aa064f020ffca6cb4770d030b553a57dcbbbd5426a0e33","observation_id":"cc250bdb-0be1-4fde-a44d-4163cc0f8494","resolution":{"observed_at":"2026-05-27T03:48:46.542394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"N., Ning, X., Desrosiers, C., and Karypis, G","venue":null,"work_id":"547cc6ef-1ce2-4070-be2c-43f930bae78c","year":2021},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:05c7b911e531d0c7b3f5f25ea5597e593f92f8ffe063a8ffe457a593161fa62c","observation_id":"9a87b8e8-025e-45de-b210-f2e8c972e41f","resolution":{"observed_at":"2026-05-27T03:48:46.426718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ea68e7e6-84c8-4822-af3c-3a007545528a","year":2016},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:4548425452e93279a78742aad3d9470eca73705f75a17c9a83279038cef467b3","observation_id":"958808de-b26a-46b1-92d8-09d7acdf32fb","resolution":{"observed_at":"2026-05-27T03:48:46.438856Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00422","last_updated":"2025-03-20T10:08:31Z","snapshot_observed_at":"2026-08-02T20:41:02.005027Z","submitted_at":"2023-12-31T08:22:51Z","title":"Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect","version":3},"cited_work":{"arxiv_id":"2401.00422","doi":"10.48550/arxiv.2401.00422","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.00422","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Interpreting the","venue":"arXiv (Cornell University)","work_id":"d72510cd-d894-48be-8608-171863d7f27c","year":2024},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"cited_paper":"/paper/2401.00422","citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:233f4be480129124eae8a936f41f5844fb857ca002481e18a663b7c273b4ef81","observation_id":"28de666a-9be6-4690-9e33-607d950f2922","resolution":{"observed_at":"2026-05-12T00:31:19.204241Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-08T17:08:11.166884+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-08T17:08:11.166884+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Ghosh, A","venue":null,"work_id":"48f66e4f-4471-45e1-b538-c2d4bab5f0dc","year":2020},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:c9dc45ad528c97a8bf1309736ab9ab87640bb7c1087e4d57c6c749f66c2fcc82","observation_id":"d8ccaf82-71ed-4fbe-aee9-d7ca9a3bccbf","resolution":{"observed_at":"2026-05-27T03:48:46.467336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d0fdc553-0aa0-4317-a2f0-775db171acbd","year":2021},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:2ee09a339deb3a62cb66bc3a9833df80c503782f8041947bd21f484c953eeb16","observation_id":"400b4a0c-f074-4838-bd37-681caf866407","resolution":{"observed_at":"2026-05-27T03:48:46.415943Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Khoshgoftaar, T","venue":null,"work_id":"4b02607d-ff64-4bce-a58a-1d1b05750b9b","year":2009},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:516d5cbf2720ea24438de0b9e1cb8897baa18de4d42e9365d91964bcba360ef2","observation_id":"1b7ec89e-5d1a-49ee-9d8e-85ff52c2dc7b","resolution":{"observed_at":"2026-05-27T03:48:46.407176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0551fb97-6fe6-464e-8c76-051ac59f4405","year":2018},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:da6a26e1421be7fb3b84f2555e4477c7cf8bd887c07f885a4ee9fc487da584f3","observation_id":"41499e81-e0aa-40ef-8f4a-9b70f8d05fd3","resolution":{"observed_at":"2026-05-27T03:48:46.530763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Aggarwal, R","venue":null,"work_id":"ba2140ab-040c-4000-a71f-b8697103a5e3","year":2020},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:78ef5bfc2ed9dd6bcf0f3176faddd4477a55b12f0929b7ba52ce6acd0243d762","observation_id":"d62869d5-8874-4bcd-8d77-03889fd2c7bd","resolution":{"observed_at":"2026-05-27T03:48:46.395254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"663d3eb1-768d-4ee9-ae01-eb368ccc1b81","year":2024},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:e1cb0cadf667d1a1c0a08281ea659958e1c4a46ae00bf9b27fa0556f4e5b28e4","observation_id":"1171313f-06c0-4077-ae64-4a4bf3b72ae1","resolution":{"observed_at":"2026-05-27T03:48:46.400790Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"aafbdd71-9a27-4d20-972d-29a2ccbbb524","year":2017},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:71892bdc7b828daeba3e05f6fffc3e93d24f0d28163845b1c955915a16d58d68","observation_id":"93cab938-ee88-4a7f-b327-1b48cb3aaf95","resolution":{"observed_at":"2026-05-27T03:48:46.388481Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5e8a4adc-9ffb-42df-b1dc-2df45494a217","year":2023},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:5794a0cac276cf4712277dd25a590a90e6ae266ee6185f91e1c444a2bb213a1f","observation_id":"cfb8c647-e3b8-4747-8fbb-cd035057f3fb","resolution":{"observed_at":"2026-05-27T03:48:46.408935Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"283e3a0f-6597-4b28-a0dd-b35a6d776b73","year":2023},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:34ef29c286fd9b1b931b6c351b24d3bfeb3cbdc35281eb1935bbc2267bda8246","observation_id":"54c272d7-d7ee-4101-a59f-d14ab0339daa","resolution":{"observed_at":"2026-05-27T03:48:46.430013Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f9369f67-594f-406e-bc1e-f13126e2d90a","year":2013},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:caaa5676c0daa29e97b265af6427c1bf523cec989ef7243eb1de8357ba05d163","observation_id":"55f7dfa9-7fde-4bd1-8ff6-185275e72b91","resolution":{"observed_at":"2026-05-27T03:48:46.545242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"61f0c1b7-6f21-4dc1-bbd1-71113a2c1eb0","year":2017},"citing_paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-07T15:06:24.796438Z"},"links":{"citing_paper":"/paper/2604.26983"},"observation_digest":"sha256:ccd520564c0714852164ff5f671c32ceed814e71acfa68ea7b2ab9a0983d9e39","observation_id":"53bac362-f0b2-4eab-a67c-92ad2ef64c44","resolution":{"observed_at":"2026-05-27T03:48:46.509177Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.26983","last_updated":"2026-04-28T18:16:30Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-02T06:08:01.572149Z","submitted_at":"2026-04-28T18:16:30Z","title":"Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":4,"verified_fuzzy":20},"total_outbound_references":50},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2604.26983."}