{"as_of":"2026-08-17T16:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:50a4fa19636e904447d921b8794d9bae8b7dfc6e03cd998ac91e734f869653eb","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T12:27:32.986635Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:29:32.821539Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-28T23:02:46.624847Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17278","snapshot_observed_at":"2026-08-07T15:29:32.821539Z","title":"The exploration of neural collapse under imbalanced data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15239","last_updated":"2025-05-21T08:16:03Z","snapshot_observed_at":"2026-08-13T03:27:41.716596Z","submitted_at":"2025-05-21T08:16:03Z","title":"Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:29:32.821539Z"},"links":{"cited_paper":"/paper/2411.17278","citing_paper":"/paper/2505.15239"},"observation_digest":"sha256:6a9ef2b5863007e2d63e61ea4855213f55d40970e7efa1ffa6afe785597add08","observation_id":"523d4705-37f1-4040-bbad-0a13b2eec36d","resolution":{"observed_at":"2026-08-07T15:29:32.821539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"cited_work":{"arxiv_id":"2411.17278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17278","snapshot_observed_at":"2026-06-28T23:02:46.624847Z","title":null,"venue":null,"work_id":"915b9553-1d88-4c60-bad5-b53016813017","year":2024},"citing_paper":{"arxiv_id":"2606.00344","last_updated":"2026-05-29T20:34:07Z","snapshot_observed_at":"2026-08-13T01:53:42.531794Z","submitted_at":"2026-05-29T20:34:07Z","title":"The role of class encoding in neural collapse","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T22:58:29.852639Z"},"links":{"cited_paper":"/paper/2411.17278","citing_paper":"/paper/2606.00344"},"observation_digest":"sha256:c1786956aceaeae247973b01014bb0f294e98c9f565f7a5c5a37b2e9b7d3691d","observation_id":"b496710d-5d85-40d5-925e-879667e3efbf","resolution":{"observed_at":"2026-06-28T23:02:46.626718Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17278/citation-record","integrity":"/paper/2411.17278/integrity","json":"/paper/2411.17278/citation-record.json","paper":"/paper/2411.17278"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.414734Z","title":"A singular value thresholding algorithm for matrix completion","venue":null,"work_id":"da9513c5-f483-46a3-b8a1-7481696be986","year":1956},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.845215Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:842a418c83725b0b93128a6ae003d7dc36023678bb8ceb19ad6d231323738389","observation_id":"c89f3957-a8ec-49bc-9927-fbbd9777b8ec","resolution":{"observed_at":"2026-08-12T12:27:33.418973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.402476Z","title":"New types of deep neural network learning for speech recognition and related applications: An overview","venue":null,"work_id":"8f0e57f2-5c07-42eb-8902-663eb82553c5","year":2013},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.849830Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:710640e7169b4529517bb62f11388193c6a81d238cfdff2b131348c3211d9346","observation_id":"080c59e9-a2ec-46d5-9ec2-dd001163b833","resolution":{"observed_at":"2026-08-12T12:27:33.406549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.389997Z","title":"Neural collapse in deep linear networks: from balanced to imbalanced data","venue":null,"work_id":"2abb276c-60cd-4587-b2b5-8722041de310","year":2023},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.855118Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:1661941bf53dedc47b58f17e5a23fe59212c69d98032d9fb660400bc77e1b2a4","observation_id":"476eefc5-15c9-41f1-ad4b-e5fa87d420c9","resolution":{"observed_at":"2026-08-12T12:27:33.394088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.377383Z","title":"On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers","venue":null,"work_id":"6473a0ac-bea0-417a-8a29-f7b34e470f69","year":2022},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.859016Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:a0786eb64a667b6922d4fe9ead85125a65dcaa01253974b12e293777d38920ba","observation_id":"9848377f-7531-4d84-aed7-8a054a1515f0","resolution":{"observed_at":"2026-08-12T12:27:33.381643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.365334Z","title":null,"venue":null,"work_id":"3d7aee5b-6f6b-455a-be0c-1017ffeac7ea","year":2021},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.863986Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:d45e6c0bcbade2b1457e5f280ddb96b5b799c8fe866b456f019a629280a7961a","observation_id":"e513f958-06b0-4749-8103-3f79a5492e3e","resolution":{"observed_at":"2026-08-12T12:27:33.369235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.06857","last_updated":"2017-04-22T23:37:43Z","snapshot_observed_at":"2026-08-14T21:05:23.570682Z","submitted_at":"2017-04-22T23:37:43Z","title":"A Review on Deep Learning Techniques Applied to Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.06857","snapshot_observed_at":"2026-08-12T12:27:32.868571Z","title":"A review on deep learning techniques applied to semantic segmentation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.868571Z"},"links":{"cited_paper":"/paper/1704.06857","citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:91e2a39cc520183247e32d818fd4a150639c54bdfdc333990802dd08bbf4f35a","observation_id":"c510d4fa-27c9-4791-852d-faa3eb22fca0","resolution":{"observed_at":"2026-08-12T12:27:32.868571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.353565Z","title":"Dissecting supervised contrastive learning","venue":null,"work_id":"f4f337eb-17f9-44d0-803d-850fb1884652","year":2021},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.874600Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:caf95207097f57fba721843a3002949d2e4fed4747777e8fc6052550a76e38f7","observation_id":"f51e55f5-ab16-45d6-9c25-c6455162d0b0","resolution":{"observed_at":"2026-08-12T12:27:33.357665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.341728Z","title":"A survey of deep learning techniques for autonomous driving","venue":null,"work_id":"b520c9f1-5097-44e0-9519-11e540211619","year":2020},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.879982Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:c666aabfcadce1dc0bc797164f739a8b7128e35dcbf12283cdde299ae19f1f6d","observation_id":"b5146ddc-5eee-4501-81e0-d8a9014e23db","resolution":{"observed_at":"2026-08-12T12:27:33.345992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.329192Z","title":null,"venue":null,"work_id":"fbb432c5-8f96-463f-a05b-072661e7befc","year":1989},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.885654Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:9e7a301dd78c660b47944d174d0f963da06cf0138f30365bd12251557c8512ee","observation_id":"02a614f0-aade-45c0-a2be-158e7d2d8e54","resolution":{"observed_at":"2026-08-12T12:27:33.333277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.315605Z","title":"Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks","venue":null,"work_id":"24271811-bf42-4e3b-b74a-4b7ff729c197","year":2020},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.890405Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:17bf99f8d8a217f95dfab26021036233f23ed5f7c8c06cbc68674f6afcc6d731","observation_id":"ae03d0ca-faf8-4fad-a0ae-37712e4682ee","resolution":{"observed_at":"2026-08-12T12:27:33.320592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.302943Z","title":"Neural collapse for unconstrained feature model under cross-entropy loss with imbalanced data","venue":null,"work_id":"cf5feee2-56c0-4cd9-b1cf-1f9f8bba8226","year":2024},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.895053Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:2e6561b32f4de925accf583186a275189b7d33917cb778a6ef697655164857ef","observation_id":"1f41c9e4-534b-4a9c-b8e2-e0edda88256d","resolution":{"observed_at":"2026-08-12T12:27:33.307032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.289916Z","title":"Approximation capabilities of multilayer feedforward networks","venue":null,"work_id":"e15b18a5-6a5c-496e-acb7-ab8b14bb8a10","year":1991},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.899432Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:8f7a7798b352796e9b423b1f843b4d2633152d32b8e27f3f6045fa0abb66cefd","observation_id":"8358b47d-cb44-4efe-9bb1-cb6c493f482a","resolution":{"observed_at":"2026-08-12T12:27:33.294735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.276773Z","title":"Han, Vardan Papyan, and David L","venue":null,"work_id":"938662c4-f060-485e-9bf1-1dc9c6a4f635","year":2021},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.903977Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:1706adb2660291af87ca57f9c96f7ce9665fb9997b573dcf69034bdf39fb2d8b","observation_id":"f5c11d67-311d-44de-867f-0898c1039e1e","resolution":{"observed_at":"2026-08-12T12:27:33.281488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.261812Z","title":"When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition","venue":null,"work_id":"ce158f79-3b11-49f0-83cb-3bd7918097ba","year":2015},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.915119Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:bdfa30f639d179672b46a201da30b77444871b2ba9d97b5036499ce7fc3212c9","observation_id":"939d7481-3005-4244-87e4-6b3b7a8124ff","resolution":{"observed_at":"2026-08-12T12:27:33.266210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.248771Z","title":null,"venue":null,"work_id":"eaca66ab-76a6-4b56-aee5-66aae88f8b23","year":2021},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.920470Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:11c20992c9fa78ac3a5293fa308480be89ae7fe0121c07366766d80fcfb13fb8","observation_id":"45d798f5-c211-407d-bd9e-723e898ef540","resolution":{"observed_at":"2026-08-12T12:27:33.252973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.236718Z","title":"S \\'a nchez","venue":null,"work_id":"918ceb93-7d42-4c3b-acef-fd9df328661a","year":2017},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.925020Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:9e614b009cea319b61d7f0b0872e6b041aee859a8357cd822ff93780cf03786e","observation_id":"2db77767-e2a7-4531-a427-521b779dfa85","resolution":{"observed_at":"2026-08-12T12:27:33.240909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.223857Z","title":"The expressive power of neural networks: A view from the width","venue":null,"work_id":"05e9cabe-eaa5-4a3b-b2ca-60996981e048","year":2017},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.929134Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:92d1f3bd8c624f2511ab63257bcd2bd8cc61c677f22f20b7377dbb1220c8e0fe","observation_id":"82b0b66c-9f32-4c8b-9cde-aae5f5dce505","resolution":{"observed_at":"2026-08-12T12:27:33.228032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.208418Z","title":"Neural collapse under cross-entropy loss","venue":null,"work_id":"a3fabf50-f476-41b5-8baa-b7aa91c50b53","year":2022},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.933084Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:51db2fe7513dc7f2670d0f8272c39c265f002b5f178af6fce45ec1314106dc0c","observation_id":"8a2a46ce-4049-4772-809f-3baaa0ee7786","resolution":{"observed_at":"2026-08-12T12:27:33.213744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.01765","last_updated":"2021-10-05T00:49:36Z","snapshot_observed_at":"2026-08-16T17:51:54.184436Z","submitted_at":"2021-10-05T00:49:36Z","title":"Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.01765","snapshot_observed_at":"2026-08-12T12:27:32.937404Z","title":"Schoenholz","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.937404Z"},"links":{"cited_paper":"/paper/2110.01765","citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:f6c7fda231f0b6f2bfeda748007285ce6404cdb15b9b9f9973ef6217dd5b70c6","observation_id":"a5e60086-e8bc-49fe-9be1-33352f63dc8e","resolution":{"observed_at":"2026-08-12T12:27:32.937404Z","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":"2026-08-12T12:27:32.941813Z","title":"Towards deep learning models resistant to adversarial attacks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.941813Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:03b93e78f2dc8e9ca95acbfe4abab5115ad29fd31f86d4793fb0dcec34e81a96","observation_id":"bd5f40e5-e45b-4cd8-9893-aa146d1599dc","resolution":{"observed_at":"2026-08-12T12:27:32.941813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.11619","last_updated":"2020-11-23T18:49:36Z","snapshot_observed_at":"2026-08-17T16:01:58.820686Z","submitted_at":"2020-11-23T18:49:36Z","title":"Neural collapse with unconstrained features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.11619","snapshot_observed_at":"2026-08-12T12:27:32.945971Z","title":"Mixon, Hans Parshall, and Jianzong Pi","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.945971Z"},"links":{"cited_paper":"/paper/2011.11619","citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:844c31cbe95d8f7d9dc78ef58ab596a48023a7dbf7daded75168523e54dcc2af","observation_id":"580d3ec5-fd32-4cba-b336-f9968fbf326d","resolution":{"observed_at":"2026-08-12T12:27:32.945971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.186751Z","title":"Deep double descent: Where bigger models and more data hurt","venue":null,"work_id":"aa3d2739-bc86-49ff-93ea-6909a468f364","year":2021},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.950387Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:839ca1d9b1bc8175a171c9c822e423547c1651708076bef323e28dbc53ba2631","observation_id":"47f79703-22ee-4cf0-8f3b-1a4b308b317e","resolution":{"observed_at":"2026-08-12T12:27:33.191193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.173270Z","title":"Han, and David L","venue":null,"work_id":"da6ad216-d7da-46b0-8b60-075c763c30f0","year":2020},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.954023Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:a63d76b1f01483617b699d45cd109d163da2c241c77425b41a625408b5a2061c","observation_id":"549a223d-0ba0-4897-9625-0ce0702ca4be","resolution":{"observed_at":"2026-08-12T12:27:33.178078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.159717Z","title":"Deep isometric learning for visual recognition","venue":null,"work_id":"145cd056-f510-4e22-b7d9-c4ca0e11a5e5","year":2020},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.957679Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:34dc273f36d05864c81db3ece6449bd10abe63ef3e9821b595562053eb047d9f","observation_id":"ffbbe690-5258-41d2-aaaa-efbdc3ec7b44","resolution":{"observed_at":"2026-08-12T12:27:33.164329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.144826Z","title":"Provable approximation properties for deep neural networks","venue":null,"work_id":"73fb4545-2c77-4928-8ec6-4954250fdc75","year":2018},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.961815Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:878a66607db8f88cc4704635b83e7a99162cfe316d0b402e832d9701022f2641","observation_id":"f60827e2-3aa0-4d74-b75d-0cfa7a41e644","resolution":{"observed_at":"2026-08-12T12:27:33.150742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.129987Z","title":"Extended unconstrained features model for exploring deep neural collapse","venue":null,"work_id":"122d4241-ccc2-4a16-ab30-fa8a01d3198b","year":2022},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.965704Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:6d75f0c3ea01591956da5819ea832723e463c99c56e811a0bb3f7b60db8ad11b","observation_id":"69bb6ee1-7dca-4988-b8b1-8bda0b54d3b7","resolution":{"observed_at":"2026-08-12T12:27:33.134618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.116081Z","title":"Imbalance trouble: Revisiting neural-collapse geometry","venue":null,"work_id":"61254e8e-4a8f-42ce-b8ca-501b41667717","year":2022},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.969660Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:36b3c264f7ea03cdf01ce9874dd66e45b8bcf671af8c1c0387618161cd14180e","observation_id":"55459628-78ff-433f-9130-6f35157019a9","resolution":{"observed_at":"2026-08-12T12:27:33.120452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.101954Z","title":"Rethinking bias-variance trade-off for generalization of neural networks","venue":null,"work_id":"b16eaab0-99bf-4311-b712-0cd14080f47a","year":2020},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.973930Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:c795e14b8746eda6f2e0488a4de6d094b5d898aa74f3d350f5c445b6399627c8","observation_id":"0556aea0-2f2e-4af4-8d11-3b35d0354bdb","resolution":{"observed_at":"2026-08-12T12:27:33.106571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.087114Z","title":"A geometric analysis of neural collapse with unconstrained features","venue":null,"work_id":"6b74ebc5-ab98-470e-973b-fb48c494d4e3","year":2021},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.978469Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:6156095f66737f1a0f0ab69c8b9e2592d4a2b628bdded1a5c01cf570f48b591d","observation_id":"96a5d37c-3831-413f-a0a5-c3a528338145","resolution":{"observed_at":"2026-08-12T12:27:33.092481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.074306Z","title":"On the optimization landscape of neural collapse under mse loss: Global optimality with unconstrained features","venue":null,"work_id":"b8f3ba05-45ae-48bd-8270-4300f21b854b","year":2022},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.982678Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:d4350b5016693dad0451c7f7e90f0abea39e9a68895d5324d0c27cc42ca7348e","observation_id":"78ed679c-8d4d-406f-afbc-845cec74329e","resolution":{"observed_at":"2026-08-12T12:27:33.078369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:27:33.059208Z","title":"Object detection with deep learning: A review","venue":null,"work_id":"6773cf3a-11dc-40da-a828-48b233254bcf","year":2019},"citing_paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-12T12:27:32.986635Z"},"links":{"citing_paper":"/paper/2411.17278"},"observation_digest":"sha256:a7109ac590b0a5fa3f36946b92a3c09c6e273d8fd2a2a4cf44721f726da4d397","observation_id":"82865819-0dda-4dbd-be33-95cf0f06c4a5","resolution":{"observed_at":"2026-08-12T12:27:33.065148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17278","last_updated":"2024-11-26T09:59:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:17:52.498645Z","submitted_at":"2024-11-26T09:59:34Z","title":"The Exploration of Neural Collapse under Imbalanced Data"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":31},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2411.17278."}