{"as_of":"2026-08-10T02:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e21542b59e9152ea7e3df4cbd72b11b5d312ad5042c8657dd55ed1567da9f631","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T04:35:19.084381Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.03145/citation-record","integrity":"/paper/2607.03145/integrity","json":"/paper/2607.03145/citation-record.json","paper":"/paper/2607.03145"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"Salvador Garcia, Joaquin Derrac, Jose Cano, and Francisco Herrera","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:42242c4f55dc22661e6e137a1cc0118acfd9cd75cc781ca9dd777a93060672ad","observation_id":"25a8b542-4ce8-42d4-82b8-fc82be946a4e","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tpami.2011.142","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Xiaojin Zhu, Zoubin Ghahramani, and John Lafferty","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","work_id":"9e5e58ee-e552-412a-b84c-ed4f0c6b89f5","year":2011},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:5d1e5875395d16d5ce715339e0ebd4e7d8f23205beb5ce71256f5265e088d45b","observation_id":"8bb5fa40-0559-4d28-89b9-e1cf6f340264","resolution":{"observed_at":"2026-07-12T04:38:28.737474Z","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":"2026-07-13T20:50:20.166827+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T20:50:20.166827+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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"27 PREPRINT- JULY7, 2026 Mikhail Belkin, Partha Niyogi, and Vikas Sindhwani","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:b86638d97a19f59b88ffca0e36c5784766a7ec6ca7ed183479b33d55638f2e14","observation_id":"13b36805-cf99-444b-b237-6008692eb3c9","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:401929e199f18e6f11e3edbb9502e80e1c65d6542020cbbb4272098107559c72","observation_id":"6ed28b12-a23c-4974-9320-03243bcdbe87","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"Melanie Weber","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:41a4fde3994c0daf4ba4301235a021a45d12c920b04fa466e43d43fe24600780","observation_id":"8fc0d3c8-6e17-4687-8d33-8568a2ae2b58","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:e2b283adc0b820fed4f6d45d60f4d2f973836d5028c01efb64c37415d8b6489b","observation_id":"e5048ced-981c-4578-8b72-61d989191695","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"doi: 10.3390/e22101100","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:367f2f375aa290e126eb5784a10a898ce123baec24d4cca001d9f46b62694c6a","observation_id":"ee65e1c5-e4d4-4917-8fa9-2f85b6da37cd","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1162/153244302760185243","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi: 10.1162/153244302760185243","venue":"Applied Physics Letters","work_id":"c17150bd-d4b8-4feb-a285-c7657c328edf","year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:eff56ffbf4a4d5fd697645690c275708a54dc594db381f168c5ec60f17f0bd95","observation_id":"b7bf66e6-0d60-4ccc-8ee4-ffdeeee11d9e","resolution":{"observed_at":"2026-07-12T04:38:28.740576Z","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":"2026-07-13T20:50:21.337428+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T20:50:21.337428+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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"doi: 10.1145/1553374.1553380","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:888c1cc735178453d0ff6a2555f93f9f856a0ac9920e883c7cb66be9119641ee","observation_id":"4f16c35f-0b35-4ac4-9e96-d6cc90d9e110","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1023/a:1014056429969","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Data Mining and Knowledge Discovery","work_id":"2c2303fd-73c0-4ac7-a616-1e1719d03fed","year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:1159718d77c2b15eb8e516b9b60e6a09bdb80efa33550ff76f72734df092b476","observation_id":"03c5d107-5af1-4100-9a47-b0af283e3039","resolution":{"observed_at":"2026-07-12T04:38:28.775448Z","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":"2026-07-13T20:50:21.660877+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T20:50:21.660877+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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:b60ea761dda6923ddc4dbd8803c17af7a0aca2edbefeaabc70d672d67ccad965","observation_id":"ff085c95-019c-49d0-b6ba-0eab0b592260","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"doi: https://doi.org/10.1016/j","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:65e96ad4022c64fb72f3438daacb175404fdcc865e5e74f3b6f6442b394e4ce3","observation_id":"59c58f1f-7bfb-4f32-bddb-eefe65997ba5","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"Glazier, Jean-Paul Rieu, Arpita Upadhyaya, and Yasuji Sawada","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:3d1b95cbdbcb1cd9fdc690d47f2e57226e681c535ddaa3e6373c6c137d0011dc","observation_id":"85f298f0-3b5c-4ab2-9969-beef1c4aab1e","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"Kathryn M","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:6e9ba164b9a7be546095bd1f087b11f6ce31e5068be730b3d4d5f60effa84218","observation_id":"6ac99037-ff61-441c-9769-971e0c07afa4","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"Yungtai Lo","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:d0c9763dd9d98ba9658139c64b1937132ddf79c8f732b7c9c9dbc4e553f24045","observation_id":"309e9749-c16c-447a-9021-1ab387fc9e2e","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11222-008-9052-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Joaquin Vanschoren, Jan N","venue":"Statistics and Computing","work_id":"c81c36e0-ebf1-4c7d-bbf6-4c1d187d82ef","year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:de1c08df75b4c0b1c50420ff7a83ac047c90c75e0be79f9c1ce2149a648c0d6e","observation_id":"5cb1ed69-b0e1-49bc-9911-42697ff70190","resolution":{"observed_at":"2026-07-12T04:38:28.742436Z","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":"2026-07-13T20:50:22.645321+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T20:50:22.645321+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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:669b702cd5a856cf507602150ae1a352cdb6ca867d383d07561146132994bce6","observation_id":"858c088a-2f97-475a-9894-54e45f1779cc","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:35:19.084381Z","title":"Gupta, Xiaojiang Chen, and Xin Wang Wang","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T04:35:19.084381Z"},"links":{"citing_paper":"/paper/2607.03145"},"observation_digest":"sha256:58d1879b5806ed1ed29cb951523584b1ce47a35a01c8c9955447339f99e38e42","observation_id":"99ac1165-d96b-45bd-94ab-7cacdc009f7d","resolution":{"observed_at":"2026-07-12T04:35:19.084381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.03145","last_updated":"2026-07-03T09:36:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T14:13:08.588788Z","submitted_at":"2026-07-03T09:36:02Z","title":"CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":18},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.03145."}