{"as_of":"2026-08-04T23:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d6ba0e2f5e732854c95474acd64620235fd64aea1140d0a7e71e8e0ed60924ce","coverage":[{"denominator":93,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":93,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-15T13:44:43.436876Z","state":"measured"},{"denominator":94,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":94,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:02:58.747360Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.09138","snapshot_observed_at":"2026-08-01T08:02:58.747360Z","title":"arXiv preprint arXiv:2603.09138 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21271","last_updated":"2026-07-24T07:27:15Z","snapshot_observed_at":"2026-08-04T18:36:57.164363Z","submitted_at":"2026-07-23T12:45:21Z","title":"Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T08:02:58.747360Z"},"links":{"cited_paper":"/paper/2603.09138","citing_paper":"/paper/2607.21271"},"observation_digest":"sha256:e8b6510cb2e406b0c622e41345e5d652de5cd16baa8366176d9fe5959d683f32","observation_id":"faf4336e-46df-4ef8-9461-fb585b64c717","resolution":{"observed_at":"2026-08-01T08:02:58.747360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2603.09138/citation-record","integrity":"/paper/2603.09138/integrity","json":"/paper/2603.09138/citation-record.json","paper":"/paper/2603.09138"},"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":"Mamba: Linear-time sequence modeling with selective state spaces","venue":null,"work_id":"710b110f-52dc-4628-9a3e-3b6c2324dff5","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:f004e07291ca3848f4c8ae3a9d2526c4a6a306eef920980c6d908a606c4cafbf","observation_id":"fc5fd794-d2f6-4ab0-97aa-88afbfd6c20d","resolution":{"observed_at":"2026-05-15T13:45:52.772540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":"1409.1556","doi":"10.48550/arxiv.1409.1556","metadata_source":"pith","pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-07-10T13:47:05.788452Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","venue":"cs.CV","work_id":"1c4b4409-c14b-488b-a086-c57a5aab8a29","year":2014},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:6b38313a292d9564f07c252ced05d1041e7a99e81c3127071e103cf455c6b530","observation_id":"8be78c51-81cd-4b11-9bea-9d3dd662d6f1","resolution":{"observed_at":"2026-05-15T13:45:52.133339Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-12T23:51:07.915518+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T23:51:07.915518+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Deep residual learning for image recognition","venue":null,"work_id":"70762cd8-94c9-4336-943c-8b7377b0045c","year":2016},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:25dcb5dfb18da2c484f051063f697b9ce9fba2ba5e9a63c34d0fe56e1f86e82b","observation_id":"99478dd3-e22e-4220-a7a1-61fb050dd5fc","resolution":{"observed_at":"2026-05-15T13:45:52.761809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Densely connected convolutional networks","venue":null,"work_id":"17e079c8-6f6b-4b18-9b2b-207922e25944","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:02cf4ab768579683c589394ed79ededa1c9f107160eb71a22a0f12e876bda9a5","observation_id":"e542fc83-f601-41d7-9be7-7a75f7b3f321","resolution":{"observed_at":"2026-05-15T13:45:52.765616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-06T01:01:39.529649Z","title":"Efficientnet: Rethinking model scaling for convolutional neural networks","venue":null,"work_id":"61f4d710-40e1-4db7-8701-d549a1136802","year":2019},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:9102f6fc8ed62ffe3715939494280729854b0b690b59095e9b7ce1e966d54d60","observation_id":"1a61416e-b56e-4b51-9bad-3c821d9b3c81","resolution":{"observed_at":"2026-05-15T13:45:52.769273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:55.742124Z","title":"A convnet for the 2020s","venue":null,"work_id":"ebf1697f-5a9b-4bfc-ad3a-e405458f7710","year":2022},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:b56380f388eae0e3c593af80bd1ab844aa7163c5e498eb672636b7a229c8d756","observation_id":"0aebc3fd-2664-412b-ae4c-c812a5673821","resolution":{"observed_at":"2026-05-15T13:45:52.779401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T15:47:23.567466Z","title":"Attention is all you need.Advances in neural information processing systems, 30","venue":null,"work_id":"751efe07-5e91-415c-b3d1-f4734aa26960","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:83c46f7ba40ffdd6a77953ba047b19e86b561763829f5c6a566e4af845db0c96","observation_id":"0cfe50b0-f1c4-4b74-9b53-76a4af6d70c5","resolution":{"observed_at":"2026-05-15T13:45:52.785877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"20695a0f-7086-4760-8ff8-85c1c79bdacc","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:4a4dd3fe1b3aee0be847b9bcb876b5ac163780ad0dd94e7adfb78cbc1877d530","observation_id":"9b0747ee-8a58-4c72-bdab-ca66f4b39176","resolution":{"observed_at":"2026-05-15T13:45:52.997558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T23:54:19.119275Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":"d577574a-ec23-4a36-89fc-494c4f56328e","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:96afa130e656362bd779a75e9864fcad5c9948a16c32fc3f051a7ba9b6d09481","observation_id":"29b101c8-c98e-4d8b-8f24-dfa63a738c0b","resolution":{"observed_at":"2026-05-15T13:45:52.750117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Combining recurrent, convolutional, and continuous-time models with linear state space layers.Advances in neural information processing systems, 34:572–585","venue":null,"work_id":"fdad4479-5c17-4703-ae88-bacb2de12948","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:4249dfcb2033b7bed621c88fa0763d4a497270f09755707ff487667d676b5b14","observation_id":"41f22dfb-513a-4795-b656-6eab45a95815","resolution":{"observed_at":"2026-05-15T13:45:52.746330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00396","last_updated":"2022-08-05T17:54:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-10-31T03:32:18Z","title":"Efficiently Modeling Long Sequences with Structured State Spaces","version":3},"cited_work":{"arxiv_id":"2111.00396","doi":"10.48550/arxiv.2111.00396","metadata_source":"pith","pith_arxiv_id":"2111.00396","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Efficiently Modeling Long Sequences with Structured State Spaces","venue":"cs.LG","work_id":"4150b761-b8bf-4d9b-a2f8-cb2d1b73d378","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2111.00396","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:0b74ac3a56bef41b1896225b49b6ea795019eb3d1816a34ca05a0e44dd72fcf4","observation_id":"7c1876f2-f71f-466f-859a-1efa97a8ec36","resolution":{"observed_at":"2026-05-15T13:45:52.103864Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.04933","last_updated":"2023-03-03T18:35:28Z","snapshot_observed_at":"2026-07-06T13:40:19.948018Z","submitted_at":"2022-08-09T17:57:43Z","title":"Simplified State Space Layers for Sequence Modeling","version":3},"cited_work":{"arxiv_id":"2208.04933","doi":"10.48550/arxiv.2208.04933","metadata_source":"pith","pith_arxiv_id":"2208.04933","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Simplified State Space Layers for Sequence Modeling","venue":"cs.LG","work_id":"d4f90830-6ceb-4c9e-b206-eb32ac063f45","year":2022},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2208.04933","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:5d15713f681a28981d0150d634b7d53bebc3be5c0ac9f2f55cb65be35610d8e5","observation_id":"5a4f25db-e938-443a-8de5-6a81975588a3","resolution":{"observed_at":"2026-05-16T08:16:11.899530Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09417","last_updated":"2024-11-14T02:00:33Z","snapshot_observed_at":"2026-07-06T17:16:59.193820Z","submitted_at":"2024-01-17T18:56:18Z","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","version":3},"cited_work":{"arxiv_id":"2401.09417","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.09417","snapshot_observed_at":"2026-07-04T19:30:07.531920Z","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","venue":"cs.CV","work_id":"bd81352e-a64f-4720-9f76-ddda0ea9af83","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2401.09417","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:230e9b276198a27b966f12eb416e25ec917902a0660beb8f41e5dc7a3c34f711","observation_id":"800e9a5a-1558-438a-b164-a988c4ec5b2e","resolution":{"observed_at":"2026-05-15T13:45:52.173473Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Vmamba: Visual state space model","venue":null,"work_id":"ede81bfa-bb07-48da-8e17-fd76467e41f1","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:45eebd35ed7597d4b9f793cbd06d626bdf553257e7a7a2a3182f4d0a224bf02f","observation_id":"cf4a87d6-bd6c-4406-be04-0049e6d82242","resolution":{"observed_at":"2026-05-15T13:45:52.782336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Spatial-mamba: Effective visual state space models via structure- aware state fusion","venue":null,"work_id":"f53f6f99-df8c-48ae-8b75-4be917c47138","year":2025},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:0027d2162527b506c6b239fce8d0ddc917c829a38ab57eb2754ca560ec2b053e","observation_id":"b741b844-d5fb-44c7-b457-f2792542b4dd","resolution":{"observed_at":"2026-05-15T13:45:52.735672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.15940","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Polyline path masked attention for vision transformer","venue":null,"work_id":"ecd23e1a-2151-44e9-b2b7-0b005d64421d","year":2025},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:35faac4b80f1f850e198e9491078370de91a59a9458680532ad89703a4ada78d","observation_id":"20808abc-3ce1-4cbd-b656-016b0f24ff2c","resolution":{"observed_at":"2026-05-15T13:45:52.097424Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Mambair: A simple baseline for image restoration with state- space model","venue":null,"work_id":"86270288-90de-43e4-960f-8d07aa5fb2f2","year":null},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:bcdad5dc74b20c72771a0251a25a28fc98b62189f21e3d299ba52812a5ec5f05","observation_id":"a271235e-f44b-4b4d-b2aa-bf22cac686d3","resolution":{"observed_at":"2026-05-15T13:45:52.739295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Visualizing and understanding convolutional networks","venue":null,"work_id":"60453a30-3d6f-49ac-a8e6-80fb37b14549","year":2014},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:be9e3aea3508b158c1b159c6fc987b0ecf8257b14dd3ad39d5ffe7de1b730a78","observation_id":"0a985abf-310b-4258-9dda-19f3e45754e9","resolution":{"observed_at":"2026-05-15T13:45:52.742575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Group equivariant convolutional net- works","venue":null,"work_id":"97d3be69-d1c8-4093-9623-ffee2fb653b7","year":null},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:cdbf85f00c280d615c0bb16e6916474a922f2daa13959f3b1d40d66ec275c652","observation_id":"41f7292b-e6ec-4e36-9ab1-ceec49653878","resolution":{"observed_at":"2026-05-15T13:45:52.758085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"General e (2)-equivariant steerable cnns.Advances in neural information processing systems, 32","venue":null,"work_id":"f76f58f2-0ee9-410d-97e2-fc9108dc75b3","year":2019},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:d9881f837ee98b2afb0986fcfd5f301a8b81c3c203d4aed6014fb70365345828","observation_id":"0710f8b4-e752-4bd4-93a2-9ea0f038ef06","resolution":{"observed_at":"2026-05-15T13:45:52.728105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Pdo- econvs: Partial differential operator based equivariant convolutions","venue":null,"work_id":"52220e6c-05a3-4f50-aa86-3d295ac5b39b","year":2020},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:4f43b2598ab8b2d958f26ffcc25af6cc396301898d711fe56b93322c8cf4d648","observation_id":"09ed75e7-e2a6-4910-aab7-d85dcb44d913","resolution":{"observed_at":"2026-05-15T13:45:52.724699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Fourier series ex- pansion based filter parametrization for equivariant convolutions.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4537– 4551","venue":null,"work_id":"92a88f48-3dc9-4551-96b1-dc17c53e00dd","year":2022},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:ecc6987d325c9892c5f3de56c7f263d685c4803f87d1dbd4e1ac6069e17919bd","observation_id":"a3cc635b-b3af-426c-a89a-3bcf4f7f056d","resolution":{"observed_at":"2026-05-15T13:45:52.732000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Efficient equivariant network.Advances in Neural Information Processing Systems, 34:5290–5302","venue":null,"work_id":"14b77758-00ef-444b-9dd2-aeae94c59592","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:79ef7cad403c71a0f38f9b4b05e525f513417bba24f1f93c49a53e3e6cc9231c","observation_id":"dae70d1a-81dd-4fa5-bfff-32f2555f47ca","resolution":{"observed_at":"2026-05-15T13:45:52.754290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"InUncertainty in Artificial Intelligence, pages 2356–","venue":null,"work_id":"d548d51b-8d18-41f4-9140-11ebd68c3bef","year":null},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:01b96e558797940efb9760e041bf18d29ef3d628828621343ba716350c60e274","observation_id":"872fe28c-54f2-4a34-9f05-d6434fc9faee","resolution":{"observed_at":"2026-05-15T13:45:52.776645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2405.15932","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T10:04:36.065056Z","title":"Steerable transformers for volumetric data","venue":null,"work_id":"adc3a9bc-61cb-4b94-a0d6-0203ed26e279","year":2025},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:fdb2d253514847983981dfafdc5f99d2cbe4c2e7f3c1b4f4c7e4542c507217ae","observation_id":"5b1f8762-689a-4bdc-862b-e36415f53b2a","resolution":{"observed_at":"2026-05-15T13:45:52.159761Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1612.08498","last_updated":"2016-12-27T04:38:28Z","snapshot_observed_at":"2026-08-03T09:34:12.086195Z","submitted_at":"2016-12-27T04:38:28Z","title":"Steerable CNNs","version":1},"cited_work":{"arxiv_id":"1612.08498","doi":null,"metadata_source":"pith","pith_arxiv_id":"1612.08498","snapshot_observed_at":"2026-07-02T14:37:03.199186Z","title":"Steerable CNNs","venue":"cs.LG","work_id":"b908e68d-144d-4f1b-8164-d073755acabb","year":2016},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/1612.08498","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:70f7037f96a245fb89c70b17a159d06ff68c4349933cbadab40676074b5387a2","observation_id":"4e18dce9-3607-4b53-93e6-6769b328b8cc","resolution":{"observed_at":"2026-05-15T13:45:52.166606Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Harmonic networks: Deep translation and rotation equivariance","venue":null,"work_id":"78c1deae-b36a-4713-a473-09b60684d9df","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:02899bde25125478cd456e38f24e7b9d3609c3a944db4b7bced114b7f91f3555","observation_id":"8ed2ec5d-70b8-42e0-a359-bf5df467c185","resolution":{"observed_at":"2026-05-15T13:45:52.983576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Oriented response networks","venue":null,"work_id":"a27255f5-6074-4145-95b1-9ed75150c499","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:8110e2b51c2a4f6c7dea8aed81223c278a3dc19911a1a53933048de7124a5d73","observation_id":"29f5996e-1fa6-4289-8e69-416e3a33adfb","resolution":{"observed_at":"2026-05-15T13:45:52.978998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Rotation equivariant vector field networks","venue":null,"work_id":"5ff902ea-7c2e-4d03-b05c-01cddc612bc6","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:557ad93aee89ebffa684bc2ad2cc3219c96df6853c6c296572fad446229b32e3","observation_id":"4163532e-0319-47eb-b379-dd50e7efb4b4","resolution":{"observed_at":"2026-05-15T13:45:52.981407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Learning steerable filters for rotation equivariant cnns","venue":null,"work_id":"0109640f-8c11-4e8a-bbf5-075b652fda64","year":2018},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:1b8a06ccf45e5833d21368a4c8df4c8cfff6bad4df40e907fcf566b07f76a912","observation_id":"b29bb40b-7f11-43d1-a163-af4ec2eaf681","resolution":{"observed_at":"2026-05-15T13:45:52.990839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.00977","last_updated":"2021-03-18T19:19:38Z","snapshot_observed_at":"2026-07-06T10:00:56.603473Z","submitted_at":"2020-10-02T13:16:00Z","title":"Group Equivariant Stand-Alone Self-Attention For Vision","version":2},"cited_work":{"arxiv_id":"2010.00977","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.00977","snapshot_observed_at":"2026-07-02T14:37:03.201500Z","title":"Group equivariant stand-alone self-attention for vision","venue":null,"work_id":"5ec647ca-2349-4aa1-a58d-7d089b8439b2","year":2010},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2010.00977","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:d2e783410e6c185a8211ed778f6a8962d2086864826cb941fc71a38b85740d49","observation_id":"5aa20b37-aed8-44f5-9097-04d2d9e7ebc6","resolution":{"observed_at":"2026-05-15T13:45:52.092166Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Rotation equivariant arbitrary-scale image super-resolution.IEEE Transactions on Pattern Analysis and Machine Intelligence","venue":null,"work_id":"db189387-17d1-4276-a7a6-69bacb08bf07","year":2025},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:3f1bf5ca9058f59680f067a5e2e6b150a08508ed186885aa236a8616228cee0c","observation_id":"7ec32d73-7451-4ea3-b91a-1d11811daeee","resolution":{"observed_at":"2026-05-15T13:45:52.972063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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 regularization- guided equivariant approach for image restoration","venue":null,"work_id":"5b05071a-f009-426b-acdd-1487637fba1a","year":2025},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:f357cc9e991029ecbdfe5f8100e043bf4b761af132eddfc0494f4fed0495baa4","observation_id":"e2991fc5-650d-4444-90d5-c38ba40387d9","resolution":{"observed_at":"2026-05-15T13:45:52.974407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Spectral state space model for rotation-invariant visual representation learning","venue":null,"work_id":"17d6c75d-3252-4e93-9491-48674dfd97f1","year":2025},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:58b35f90ce3fc2a70eed4d7247f2e375d90174e6a2f03ed183c5c6d271890326","observation_id":"2ac99b4e-8dbe-45da-8c99-121053de051f","resolution":{"observed_at":"2026-05-15T13:45:52.976842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Lietransformer: Equivariant self-attention for lie groups","venue":null,"work_id":"e0d96210-21a1-492f-9337-7661bd225d07","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:d2e8734cae813a9982f74d798ef3280be30d68fe11db937920de1e25fbfe8b67","observation_id":"14de53e5-0212-454b-9202-00297a05572c","resolution":{"observed_at":"2026-05-15T13:45:52.960173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/itsc55140.2022.9922275","metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T14:35:02.874741Z","title":"Transformers are rnns: Fast autoregressive transformers with linear attention","venue":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","work_id":"538e32a7-33de-461c-9bcc-7d531a31fb65","year":2020},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:602c71061e5df25987f368fa80e7bb7c4c7b4c7039324ccd7920eb991949548d","observation_id":"1664d3b5-0bb2-43d6-82fc-cef560dba83e","resolution":{"observed_at":"2026-05-15T13:45:52.963334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.10509","last_updated":"2019-04-23T19:29:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-04-23T19:29:47Z","title":"Generating Long Sequences with Sparse Transformers","version":1},"cited_work":{"arxiv_id":"1904.10509","doi":"10.48550/arxiv.1904.10509","metadata_source":"pith","pith_arxiv_id":"1904.10509","snapshot_observed_at":"2026-07-11T03:27:46.891605Z","title":"Generating Long Sequences with Sparse Transformers","venue":"cs.LG","work_id":"c5b81688-45ee-4a9a-b095-e6290f45cb6c","year":2019},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/1904.10509","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:68c59f1ca81d1f26d98073f47bc9e57447046a0c7b7c8cd8d84452da9b4b249d","observation_id":"29da8eb4-f087-448d-afa9-12c1055293fa","resolution":{"observed_at":"2026-05-15T13:45:52.163428Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-12T21:49:59.71041+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T21:49:59.71041+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Long short-term memory","venue":null,"work_id":"6621eaad-79d3-4297-8026-c396dab7c7b7","year":1997},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:1d75030cc0aa0996335a426e38799bba537df2f7bb101882333935e0d297af6c","observation_id":"0d7f35d2-46a7-4feb-9ecc-345f6b9b8f46","resolution":{"observed_at":"2026-05-15T13:45:52.966101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13048","last_updated":"2023-12-11T03:58:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-22T13:57:41Z","title":"RWKV: Reinventing RNNs for the Transformer Era","version":2},"cited_work":{"arxiv_id":"2305.13048","doi":"10.48550/arxiv.2305.13048","metadata_source":"pith","pith_arxiv_id":"2305.13048","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"RWKV: Reinventing RNNs for the Transformer Era","venue":"cs.CL","work_id":"524dc80d-f4ef-4f89-bf1a-9a8c1e4b6a81","year":2023},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2305.13048","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:1bc692299e9ab27d26a5e6445a5173c788aa49bcca847b86579ee8c4507d222d","observation_id":"7dce2244-3e26-467b-8395-b5e36f6f6572","resolution":{"observed_at":"2026-05-15T13:45:52.082370Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08621","last_updated":"2023-08-09T08:53:08Z","snapshot_observed_at":"2026-08-02T13:21:32.251959Z","submitted_at":"2023-07-17T16:40:01Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","version":4},"cited_work":{"arxiv_id":"2307.08621","doi":"10.48550/arxiv.2307.08621","metadata_source":"pith","pith_arxiv_id":"2307.08621","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","venue":"cs.CL","work_id":"5b0449ac-92b0-41f2-8b4f-586c2b5a08b6","year":2023},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2307.08621","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:9a7f337fab463fb4511024789dc68ce583bf4fab8fa9b53f1b307de69b97c817","observation_id":"ff4c7672-3287-42e8-be74-3017b1746b3b","resolution":{"observed_at":"2026-05-15T13:45:52.170179Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Localmamba: Visual state space model with windowed selective scan","venue":null,"work_id":"45b38a62-34bd-436d-80ed-0869c943d024","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:df95a6325ea2d35c9132edf196aad83ad68e2c2c2436c659f185581728c83026","observation_id":"57f901e5-4d44-4de9-9b02-88d9a5ef6a81","resolution":{"observed_at":"2026-05-15T13:45:52.945344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Multi-scale vmamba: Hierarchy in hierarchy visual state space model.Advances in Neural Information Processing Systems, 37:25687–25708","venue":null,"work_id":"d3f9da1d-89a8-471d-93a5-0fdcb731fe5c","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:8635ee23d4c054ffecde7fd39a99e8c85af0aa5cfea9e6bc66ca1a100f20eb4e","observation_id":"3b812676-a9d5-470c-8d69-c4bee4fe0956","resolution":{"observed_at":"2026-05-15T13:45:52.969277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Demystify mamba in vision: A linear attention perspective.Advances in neural information processing systems, 37:127181–127203","venue":null,"work_id":"069f4439-aaa0-4647-bc0b-155672a0b9af","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:82239c1c60dc77ffe25a165ee39c4b03629d3e0b6762f2847448f137d59496cc","observation_id":"b460cf31-b785-467d-88a2-36c12537da82","resolution":{"observed_at":"2026-05-15T13:45:52.948338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15269","last_updated":"2025-03-11T03:41:09Z","snapshot_observed_at":"2026-08-02T04:21:14.708373Z","submitted_at":"2024-11-22T12:45:12Z","title":"MambaIRv2: Attentive State Space Restoration","version":2},"cited_work":{"arxiv_id":"2411.15269","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.15269","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mambairv2: Attentive state space restoration","venue":null,"work_id":"8c1a14db-2930-4f8b-90b8-c8dc90ad8cba","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2411.15269","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:aa3fb425846c8da2362601f800ee970b908498a2d78b70a95f11dcbcdce119af","observation_id":"dba363d3-0e87-453f-a6cc-66f3c85b8dda","resolution":{"observed_at":"2026-05-15T13:45:52.110464Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Freqmamba: Viewing mamba from a frequency perspective for image deraining","venue":null,"work_id":"8700427b-6eed-42fe-911b-9a4e58040744","year":1905},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:062501271ef7b792a728be2b6330a2e64619a90a7fe310e54f5c4f716299c7f7","observation_id":"d41dbe38-c9b8-46c0-af45-87fbdc022ed9","resolution":{"observed_at":"2026-05-15T13:45:52.939336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14224","last_updated":"2024-07-10T09:02:11Z","snapshot_observed_at":"2026-07-06T18:18:21.334080Z","submitted_at":"2024-05-23T06:53:18Z","title":"DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis","version":2},"cited_work":{"arxiv_id":"2405.14224","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.14224","snapshot_observed_at":"2026-07-04T19:30:07.430612Z","title":"arXiv preprint arXiv:2405.14224 , year=","venue":null,"work_id":"a48c60de-99d8-4ec9-a958-df4fe9e189f9","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2405.14224","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:8c2876508cb3e505c97ddcb34f9e435f67f3eb45fb52e0fe13d09feef0ae5af1","observation_id":"c6e33d6b-1278-4b6a-a828-8509676b99a2","resolution":{"observed_at":"2026-05-15T13:45:52.147509Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Videomamba: State space model for efficient video understanding","venue":null,"work_id":"c3cc7f9d-5c99-4e95-b452-ff14a71adb90","year":null},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:a190fc35d28f5129e20d8ecf6064ce1c4a70b2b0969db00a2d8eed7b5d381f71","observation_id":"74cab95d-3223-4ec1-820d-5ca3bb41752f","resolution":{"observed_at":"2026-05-15T13:45:52.935616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Samba: Semantic segmentation of remotely sensed images with state space model.Heliyon, 10(19)","venue":null,"work_id":"ed68d40b-cbd5-4508-8031-3e797b02e0dc","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:61f6cf5f8c9199b05dbdab048e3277f8dd6843e08140326caa8718371ab1abc3","observation_id":"744fb19d-8810-4540-b9f8-f806dd31ce55","resolution":{"observed_at":"2026-05-15T13:45:52.942414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Rs-mamba for large remote sensing image dense prediction.IEEE Transactions on Geoscience and Remote Sensing","venue":null,"work_id":"9a50b93d-591e-4a66-876e-a0aec89864a7","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:1f446709f526b9dd75815983788a1c0ec6656e754033c4173acea8bbf7ed59b5","observation_id":"86a0dce2-7cd4-4cfb-af27-c708bf8e2d74","resolution":{"observed_at":"2026-05-15T13:45:52.952286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Pointmamba: A simple state space model for point cloud analysis.Advances in neural information processing systems, 37:32653–32677","venue":null,"work_id":"6df7bc27-12ff-4776-ac53-252df0814780","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:cd797b7f83e8412da9c1f848cff9e7986299dbf9558f71a07777b396cb531e36","observation_id":"8013e30b-1871-41f8-89d4-1c0a15bfaee2","resolution":{"observed_at":"2026-05-15T13:45:52.928529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"V oxel mamba: Group-free state space models for point cloud based 3d object detection.Advances in Neural Information Processing Systems, 37:81489–81509","venue":null,"work_id":"4aafc891-9be7-47d0-94e2-813f102727ed","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:b224e08e32a51ab4afc451aa84e149b0face15ca84443d53b9929e4cc4953e7a","observation_id":"e173790c-05b7-406f-9d69-daed393d66e6","resolution":{"observed_at":"2026-05-15T13:45:52.986172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Vm-unet: Vision mamba unet for medical image segmentation.ACM Transactions on Multimedia Computing, Communications and Applications","venue":null,"work_id":"c05f2e49-ff1c-4a8e-baf8-d50ffa54c0bc","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:c95757be1dd2a8beb07d32f9bffac79fdf562bbed3de21041e8965c5b3a7400c","observation_id":"efc5c234-bae6-41bc-a9a5-b96272b1b048","resolution":{"observed_at":"2026-05-15T13:45:52.988689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T09:14:47.686474Z","title":"Swinir: Image restoration using swin transformer","venue":null,"work_id":"1f9a6b9f-88d1-486e-a89a-e02ff6304144","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:2e64c23ea6bc2154cc7ef28f1dbc3efe73c67bccba91e37e86f8b4128cd4799b","observation_id":"bfd9c614-c32d-4838-ad0f-3309bf87b624","resolution":{"observed_at":"2026-05-15T13:45:52.924962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Srformer: Permuted self-attention for single image super- resolution","venue":null,"work_id":"dcfc4132-1ac7-45a4-9bd1-54174d0ae7de","year":2023},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:41eedfe55f2bde8cc7610c333df2ae3137ea51ee25feab3f59d4ee6b1549a388","observation_id":"30b1789e-9ae4-4674-956e-a406308ca3f9","resolution":{"observed_at":"2026-05-15T13:45:52.932503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Ti-pooling: transformation-invariant pooling for feature learning in convolutional neural networks","venue":null,"work_id":"c0357fdf-3fec-453c-b87c-f0e1145d6000","year":2016},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:1adfe449876a6155c29726b5ca25a9b02816844db037c5ad56cdbc51736a4dee","observation_id":"16e31ad7-057a-49dd-b1f4-91621004211c","resolution":{"observed_at":"2026-05-15T13:45:52.917882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1206.6418","last_updated":"2012-06-27T19:59:59Z","snapshot_observed_at":"2026-07-06T02:50:47.096675Z","submitted_at":"2012-06-27T19:59:59Z","title":"Learning Invariant Representations with Local Transformations","version":1},"cited_work":{"arxiv_id":"1206.6418","doi":null,"metadata_source":"pith","pith_arxiv_id":"1206.6418","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning Invariant Representations with Local Transformations","venue":"cs.LG","work_id":"6a1f27fb-d410-473d-ad1b-a1ef899d29a9","year":2012},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/1206.6418","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:73b646770197c9972826f19a73466e5fc9cc02ad120ce905c12c1d100d6d071e","observation_id":"3afd6b78-1772-4845-8369-6d04bf88ab46","resolution":{"observed_at":"2026-05-15T13:45:52.155975Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T09:13:35.391292Z","title":"Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25","venue":null,"work_id":"0c20789b-b203-4c32-9b59-975271118e41","year":2012},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:dde62012d6a4abfa50b06739d09abdc172d60ef917ffc228f6c76615b0dcc7c4","observation_id":"0333eb1c-8e8e-4e62-b589-a2d54cea7744","resolution":{"observed_at":"2026-05-15T13:45:52.995456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.02108","last_updated":"2018-03-06T11:05:39Z","snapshot_observed_at":"2026-07-06T06:26:51.386842Z","submitted_at":"2018-03-06T11:05:39Z","title":"HexaConv","version":1},"cited_work":{"arxiv_id":"1803.02108","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.02108","snapshot_observed_at":"2026-06-30T10:04:36.089831Z","title":"HexaConv","venue":"cs.LG","work_id":"e52f9fc5-f53f-4d5e-84c8-36f3386e11e5","year":2018},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/1803.02108","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:45f0833212970c50165e992ae00f0177f5593c90aab9b8d335f27d52cbd4d848","observation_id":"20a6ac40-551e-4f37-96ae-95093dc64d23","resolution":{"observed_at":"2026-05-15T13:45:52.127871Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Pdo- es2cnns: Partial differential operator based equivariant spherical cnns","venue":null,"work_id":"dee2403a-5bb7-4d0d-9b28-65a8ca4cc5f4","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:95a7b28677cc60e37486795bad5e4c4f345e57e0669106575923b63628a4f4b0","observation_id":"23abc67c-c489-4b7a-b80a-724b2f3ae828","resolution":{"observed_at":"2026-05-15T13:45:52.914332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Universal equivariant multilayer perceptrons","venue":null,"work_id":"071df802-f37e-48fb-ab10-962e18c24f7d","year":2020},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:9c6f4e3ac5fc8fbb647569a60a68c2c9f954a2b262675400c283ed100886702d","observation_id":"d2acd2d9-5d1e-4177-a1e3-f4904dcd7903","resolution":{"observed_at":"2026-05-15T13:45:52.819446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Unified perceptual parsing for scene understanding","venue":null,"work_id":"f846cf43-242f-4ea2-8118-04e2e3efa54d","year":2018},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:d28f851bd13f767cfbb5ec24633d386857a45a4c38872d7f28f2d77193a8ec08","observation_id":"c76beb18-578f-4761-a06d-c20a070f7584","resolution":{"observed_at":"2026-05-15T13:45:52.993044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network","venue":null,"work_id":"d98dc7c1-7cc3-4528-b41a-59c860c3fd84","year":2016},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:46c727323dd1a0da72cd0f73ea3a920889a81202ce19dc7fc32236d76fce76b8","observation_id":"763f62a6-e914-4fb8-a629-bcc81d14fd33","resolution":{"observed_at":"2026-05-15T13:45:52.888745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Squeeze-and-excitation networks","venue":null,"work_id":"9a5ffd72-bff7-4fb5-8426-294e1c71a91a","year":2018},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:e1919e077f5a247a36e0170792351576e980b6690466b1ad15e3231b7f35d351","observation_id":"6fb42f14-c416-4252-a028-3d5ef369262d","resolution":{"observed_at":"2026-05-15T13:45:52.901661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Training data-efficient image transformers & distillation through attention","venue":null,"work_id":"692f8513-6eba-4c5b-b9e9-ec03f978b69d","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:ea3e42be394869940a639f2eb29901e831325dd8dd8f6a12ae4238a5e9ee88a8","observation_id":"f6632ecc-560c-4ac1-881f-c5f8e1ec3934","resolution":{"observed_at":"2026-05-15T13:45:52.897530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Xcit: Cross-covariance image trans- formers.Advances in neural information processing systems, 34:20014– 20027","venue":null,"work_id":"8d2772f3-1e51-4911-a8e0-ba137f3589ae","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:4b5353de8e7ad52074b169464904d33b97954bb23bbc9e72e7eb50b5f95331dc","observation_id":"ccc184d4-1953-4e7e-8e88-3427a5b0cacf","resolution":{"observed_at":"2026-05-15T13:45:52.852547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Imagenet100 (kaggle dataset)","venue":null,"work_id":"86d169d4-31c6-4082-9ed9-d48e4756ff5d","year":2023},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:80cfc0b5e18e1ce4e6c78b1f477a463704b22b2ce2a1d0eb8bdb891221c8910a","observation_id":"40598585-4931-4056-9b6f-a46c3bf1b259","resolution":{"observed_at":"2026-05-15T13:45:52.849356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"439e286c-51b0-4b05-b54b-c0078305084c","year":2009},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:a07a63c2454c63b8bcccf71cb34d8aa21eab3d7bff08ccc42db7172189ed1f6b","observation_id":"e01b7c7e-0947-4f8d-a19e-b2a6fa84a4c9","resolution":{"observed_at":"2026-05-15T13:45:52.893387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":"1711.05101","doi":"10.1137/1.9781611972825.47","metadata_source":"pith","pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Decoupled Weight Decay Regularization","venue":"cs.LG","work_id":"07ef7360-d385-4033-83f7-8384a6325204","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:f0a821033d38a976fc36039397f4931007d2084e7ef0c6ff38e547fc9d4e35b4","observation_id":"9e78a156-50bb-4c41-861f-24a76d5e4b4a","resolution":{"observed_at":"2026-05-15T13:45:52.087066Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Acceleration of stochastic approximation by averaging.SIAM journal on control and optimization, 30(4):838–855","venue":null,"work_id":"e229dace-bf39-49be-8877-18a949273085","year":1992},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:0df19954f76f1bae0e4b5835efdf6f510b5a51aa16707233deb888c3784cbc61","observation_id":"91dd701f-86af-49cd-90fc-2e6d9c92f35b","resolution":{"observed_at":"2026-05-15T13:45:52.875711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Scene parsing through ade20k dataset","venue":null,"work_id":"c19dde97-76d0-489f-ad52-f748913f1e14","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:797d3f85c053298668d8f2dbd06bc8b93f5b54451e89b6d4b4f5a23b0d8054cf","observation_id":"7ab4ded2-e6e5-45fa-b9c1-ccf8b7571771","resolution":{"observed_at":"2026-05-15T13:45:52.713490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"The pascal visual object classes (voc) challenge","venue":null,"work_id":"76d1b027-9a0c-45a2-b2a3-4e3645bc2403","year":2010},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:f0520d09d03f445414913d57c1ff1547727ec156457bebd173f27f5a60b3be67","observation_id":"49e2bcd3-d8ca-4e69-a007-29fe0099b435","resolution":{"observed_at":"2026-05-15T13:45:52.721466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"The cityscapes dataset for semantic urban scene under- standing","venue":null,"work_id":"4ffb4a7a-4f54-484d-8569-217a886d1700","year":2016},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:7914034ee9ad0803351157dbb5ec8c18849b1fbf47aa2660ce57eb3bf1fef3be","observation_id":"ae147016-6260-4ac5-b101-23b57a808e24","resolution":{"observed_at":"2026-05-15T13:45:52.842683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T16:24:01.703989Z","title":"Coco-stuff: Thing and stuff classes in context","venue":null,"work_id":"42faf31c-fa0e-4212-8a2e-c1ec3e75aee5","year":2018},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:050ea20e571d3b62237e9c3fe16b3dda8fee3ebbee12b91cabc5a127944d24e1","observation_id":"87334586-f0d9-4dcf-8277-66cef0662d16","resolution":{"observed_at":"2026-05-15T13:45:52.717968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.08733","last_updated":"2022-05-31T11:03:05Z","snapshot_observed_at":"2026-07-06T11:58:42.901223Z","submitted_at":"2021-10-17T06:12:48Z","title":"LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation","version":6},"cited_work":{"arxiv_id":"2110.08733","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.08733","snapshot_observed_at":"2026-07-04T19:30:07.448594Z","title":"Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation","venue":null,"work_id":"b4d04f38-8eb7-4273-84f0-876f5a43c698","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2110.08733","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:c716de339391da1c80adf33980d8de3a8a78e215d5ae045125a59716ff0a07ad","observation_id":"768bfaff-b94e-4013-b409-f4460e0bc8b1","resolution":{"observed_at":"2026-05-15T13:45:52.122055Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"The isprs benchmark on urban object classification and 3d building reconstruction","venue":null,"work_id":"44bb8b05-2de5-46ca-9fa9-17e667b9d7ce","year":2012},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:5e9396f4b1d77978dade80e32f88b7e323a33c15599175ed9b64b243eae698d6","observation_id":"4105f0f3-e2fe-4b34-9792-79c08890f3ca","resolution":{"observed_at":"2026-05-15T13:45:52.839611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Mmsegmentation, an open source semantic segmentation toolbox","venue":null,"work_id":"7f4c3189-b2f2-4147-a4e0-88fcce1410aa","year":2020},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:5d1af81b5000413277cfd8f39efad7992019a23e0a9127203facbe82a13fb1f8","observation_id":"c2d2e321-0d87-45ec-833b-a24bfcebded6","resolution":{"observed_at":"2026-05-15T13:45:52.845955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-06T13:12:31.651413Z","title":"Enhanced deep residual networks for single image super- resolution","venue":null,"work_id":"b6b5ee83-a055-4ffc-9636-1dfb644e0478","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:77b902e833f32cb857f9afecb374e1a688fe532d9d63b740fae16707c315ab52","observation_id":"b10a069f-30d7-4dde-bf17-88f4dab40053","resolution":{"observed_at":"2026-05-15T13:45:52.882990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-06T13:12:31.605380Z","title":"Image super-resolution using very deep residual channel attention networks","venue":null,"work_id":"5fef5a21-691b-4e0e-95f2-7581bb315b23","year":2018},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:79855a45a221adc8d9e41db5a677483191d28be3f12190c0b2996f50494392c8","observation_id":"e73939a8-f539-4306-98a4-4dc89f2e31aa","resolution":{"observed_at":"2026-05-15T13:45:52.904876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Second-order attention network for single image super-resolution","venue":null,"work_id":"c41ab1db-43b9-49b6-a76d-725c41f74c6a","year":2019},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:84543066605f63b1cbc9a72910c41fa2a44b375f4fdbcd078a08f258f911923f","observation_id":"e4c66b54-9ee7-40e2-b18c-5eea37a8c1ef","resolution":{"observed_at":"2026-05-15T13:45:52.827736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Single image super-resolution via a holistic attention network","venue":null,"work_id":"cae02300-165c-4cc0-bc16-4a09c8612a8a","year":2020},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:d38d60eab899737984a85978ad4d15d6316d4b2cddcce1f798863f2155df50d3","observation_id":"5ca78e5f-5714-4372-8ba5-bb5020589baa","resolution":{"observed_at":"2026-05-15T13:45:52.823751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Pre- trained image processing transformer","venue":null,"work_id":"ca29659d-dbe4-4144-a3b5-8bb888ba016e","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:79da166a598a095c069324541fac5a6ce0aaf8c5b540b7c810708df0d8b6a150","observation_id":"acee7b89-6e90-45ca-bd2f-d39ae5231d33","resolution":{"observed_at":"2026-05-15T13:45:52.831341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10175","last_updated":"2022-03-21T17:32:08Z","snapshot_observed_at":"2026-07-06T12:20:22.502449Z","submitted_at":"2021-12-19T15:50:48Z","title":"On Efficient Transformer-Based Image Pre-training for Low-Level Vision","version":2},"cited_work":{"arxiv_id":"2112.10175","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10175","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On efficient transformer-based image pre-training for low- level vision","venue":null,"work_id":"cbdf8844-e7f5-44ec-8449-813f9b9b9c2d","year":2021},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"cited_paper":"/paper/2112.10175","citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:17b6e5b13a5e0389eb3284fc02906abaa6663b6eb014d7ab9a08bcb7b23330b2","observation_id":"2143b22b-b3ad-40bb-b8b1-040998d92b03","resolution":{"observed_at":"2026-05-15T13:45:52.115640Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Ntire 2017 challenge on single image super-resolution: Methods and results","venue":null,"work_id":"c2c15e0e-7cc6-4549-8f80-7d353bd21181","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:e86e43e056144b7ac5f08ee61270e6d495d7f4027c29d8e60dc71cb4844dd00b","observation_id":"111b1f92-03ea-4f3a-9e81-15c283157182","resolution":{"observed_at":"2026-05-15T13:45:52.834708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Low-complexity single-image super-resolution based on nonnegative neighbor embedding","venue":null,"work_id":"216f2741-af0f-49f0-b0a7-1c750de678a3","year":2012},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:0dc248032708da686b73c54ca95c279c68c25a83c8c4e343f56aebab0a023cf1","observation_id":"c7e551e3-beb9-4bb2-9978-64eb10997d3a","resolution":{"observed_at":"2026-05-15T13:45:52.812023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"On single image scale-up using sparse-representations","venue":null,"work_id":"fddd44a8-24ea-405b-b768-1b2e10342e81","year":2010},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:55a9fbbbc70d8f34737768ff79e1c2f7ef5712b98f51574cf79b8c167bb921e6","observation_id":"09768b22-4006-4ae3-be44-05549125a958","resolution":{"observed_at":"2026-05-15T13:45:52.803215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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 database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics","venue":null,"work_id":"9bfbf6e1-1fe3-4e88-9b7e-7c0d8926584f","year":2001},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:0448544106c06ee28cef8097c44138997a616d5475e8a1e4ca00a2adc929349f","observation_id":"1af348e9-6e68-421e-bc13-5f83792b53c6","resolution":{"observed_at":"2026-05-15T13:45:52.956482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Single image super-resolution from transformed self-exemplars","venue":null,"work_id":"ba24a6ad-de60-4bb1-bf56-3b37774e503a","year":2015},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:279e2736928c8aca43516c0ac0e0bbcf8c996c2803a563c7ba2a6084b4711f49","observation_id":"3f0dbbda-8eef-4178-ac11-51e843a6b892","resolution":{"observed_at":"2026-05-15T13:45:52.908996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Sketch-based manga re- trieval using manga109 dataset.Multimedia Tools and Applications, 76:21811–21838","venue":null,"work_id":"881de524-8172-48d0-9e82-84ee0f156c3c","year":2017},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:4be134e654e0a151b0b77254624b714a40680189ed4765073db55b38b0558db5","observation_id":"a9a70d62-bfa9-45e3-a758-d81f9917e322","resolution":{"observed_at":"2026-05-15T13:45:52.798104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Fast, accurate, and lightweight super-resolution with cascading residual network","venue":null,"work_id":"5d808272-895a-4d88-b8e1-06c5c866f4ee","year":2018},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:4db761667064dde196063cebefda7c10bf7751b403d86f968782e866b0bce9ec","observation_id":"76a9c933-4c6e-4dad-bc63-9f34323975a9","resolution":{"observed_at":"2026-05-15T13:45:52.806618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Lightweight image super-resolution with information multi-distillation network","venue":null,"work_id":"9f894440-4831-4bf5-aa58-80bdcbe1a173","year":2024},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:dc53c89e21216ecdd08194483f221de37a209a3680aa0a9749e44f68aa61c9f3","observation_id":"f4ee3422-fa61-429e-9c2d-2bf392d18703","resolution":{"observed_at":"2026-05-15T13:45:52.815757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Lapar: Linearly-assembled pixel-adaptive regression network for single image super-resolution and beyond.Advances in Neural Information Processing Systems, 33:20343–20355","venue":null,"work_id":"152e19d5-6ded-492e-ba09-65daf587632c","year":2020},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:7b1d2df6f257e90cf48b556596af5d01f6f6fb71991370c4545c06a07ba6f3b5","observation_id":"7779bc46-6ff2-47f6-98ef-944148763975","resolution":{"observed_at":"2026-05-15T13:45:52.999873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Latticenet: Towards lightweight image super-resolution with lattice block","venue":null,"work_id":"9da0d957-de52-4bd2-a5b3-5317a2af2ebf","year":2020},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:54cfc44cc7300bb49a52beb1d0f38cdb104954b0927187a689ce843436ec2e2d","observation_id":"ffd5f919-b961-44b2-897f-5a96d68dd7ce","resolution":{"observed_at":"2026-05-15T13:45:52.789618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Efficient long-range attention network for image super-resolution","venue":null,"work_id":"1aae108b-ff31-4629-a144-ea33d8aeb2a6","year":2022},"citing_paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-05-15T13:44:43.436876Z"},"links":{"citing_paper":"/paper/2603.09138"},"observation_digest":"sha256:d6122c123d5dc89bf2ac642dd999ef5ba0456f62543ac1818308c98ea864a502","observation_id":"85a0000c-3851-4de2-ae2c-83a0ad4240be","resolution":{"observed_at":"2026-05-15T13:45:52.793134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2603.09138","last_updated":"2026-04-04T02:24:06Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T04:47:50.255873Z","submitted_at":"2026-03-10T03:22:33Z","title":"Rotation Equivariant Mamba for Vision Tasks"},"reference_resolution":{"displayed":93,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":0,"verified_exact":17,"verified_fuzzy":75},"total_outbound_references":93},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 1 inbound Pith citation observation for arXiv:2603.09138."}