{"as_of":"2026-08-20T11:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fb8c94f577cd6a5ec905ca60913192310be06cb1936ad8a257672dc625da4d37","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:11:00.501033Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.12423/citation-record","integrity":"/paper/2412.12423/integrity","json":"/paper/2412.12423/citation-record.json","paper":"/paper/2412.12423"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:02.208154Z","title":null,"venue":null,"work_id":"9ab14d66-c3eb-496a-b855-2491d51ed255","year":2020},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.041338Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:79b5781674cf87d354f6c204f9185a6c31705e3962b62cbd64f5295ef1cefdcb","observation_id":"f8fdb0eb-559a-4f4c-9ea8-b9b0a37a8011","resolution":{"observed_at":"2026-08-11T14:11:02.215214Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:02.177254Z","title":"A 2- dimensional state space layer for spatial inductive bias","venue":null,"work_id":"9345bb0d-797c-41b5-8034-ae6ad63ddeed","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.050252Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:ad3ddf5d1516414cf82b0ef2933cbaadbb53720e66ef932edc8312944f91a41d","observation_id":"2502e19f-8022-4ab4-b477-b01e7ce8d8ef","resolution":{"observed_at":"2026-08-11T14:11:02.193021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:02.146734Z","title":"Retina : Low-power eye tracking with event camera and spiking hardware","venue":null,"work_id":"7ec73c57-711a-4366-8ed3-1cc9abe78506","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.064264Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:10cb3f08f5f2e244df7f350fcfdd950429306fb0c07e5ed74d75784f63ed7034","observation_id":"d582ac99-aeae-4c62-bf5e-76baf0c23b36","resolution":{"observed_at":"2026-08-11T14:11:02.152975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:02.109870Z","title":"A 240 × 180 130 db 3 µs latency global shutter spatiotemporal vision sensor","venue":null,"work_id":"51f322ab-a7d4-41e1-8186-7f85f170b778","year":2014},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.071761Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:042fdcdfb16c948cd040e64c536881a12d26b0e64016bd01926285201de44281","observation_id":"1daa8956-fca1-4179-a977-40831533d926","resolution":{"observed_at":"2026-08-11T14:11:02.124679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:02.072730Z","title":"Butler, Jonas Wulff, Garrett B","venue":null,"work_id":"451be209-fee3-4a6b-bb8a-35b101384a3b","year":2012},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.081386Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:fb3d7d688d85a6f58cf053af8063fd484a369d6fa6e973c1372635f8d9424321","observation_id":"9918315b-237e-4848-8381-b932ffde0331","resolution":{"observed_at":"2026-08-11T14:11:02.080775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:02.048760Z","title":"A minimum spanning tree algorithm with inverse-ackermann type complexity","venue":null,"work_id":"c82b187f-50fc-4225-9234-4411f04afe33","year":2000},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.089795Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:48700b6ed4423d661e427c99aa386b3d829ee18f5fa4e535b8892afebd11d1b3","observation_id":"7663de30-4c28-40e6-8b71-1e71bd39942e","resolution":{"observed_at":"2026-08-11T14:11:02.055985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:02.022094Z","title":"3et: Efficient event-based eye tracking using a change-based convlstm network","venue":null,"work_id":"dc08c116-aa68-4dbc-8991-ccf5115e900b","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.097629Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:d34c40ad86e74ccf7751d10d7e1fc7f8f69f113130f38a0f5db56984e256bd11","observation_id":"889c6443-cf76-40cd-98f0-c813f22fff82","resolution":{"observed_at":"2026-08-11T14:11:02.029386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.996786Z","title":"Randaugment: Practical automated data augmentation with a reduced search space","venue":null,"work_id":"75a3cf39-2aa8-4e1c-b744-52a64517c29c","year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.103598Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:0bef02f58575b879f7e34f7617f41dbba8e4e58c948fa6d442a7e18df5359e56","observation_id":"c0dcbaee-7b03-4dbe-8cc5-52ed56570105","resolution":{"observed_at":"2026-08-11T14:11:02.003942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08424","last_updated":"2024-04-04T16:24:19Z","snapshot_observed_at":"2026-08-20T10:40:18.869393Z","submitted_at":"2023-04-17T16:46:48Z","title":"Long-term Forecasting with TiDE: Time-series Dense Encoder","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08424","snapshot_observed_at":"2026-08-11T14:11:00.109325Z","title":"Leach, Shaan Mathur, Rajat Sen, and Rose Yu","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.109325Z"},"links":{"cited_paper":"/paper/2304.08424","citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:b4090d0466735432318a1c2680357396c05390b7c572a430e3a758ab8bf52df5","observation_id":"b6712030-0108-42b1-b428-6ab57ac63181","resolution":{"observed_at":"2026-08-11T14:11:00.109325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.969606Z","title":"Li, and Li Fei-Fei","venue":null,"work_id":"2c0ffe08-063d-41db-bee4-d70008530c4c","year":2009},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.115134Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:188aed76288867bf49379bd5aa3ffbe7dce9154cf396c066e23bebbef0754018","observation_id":"a3a3c2e3-f9e6-4e76-abd4-3296822e9b27","resolution":{"observed_at":"2026-08-11T14:11:01.977636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.945749Z","title":"Memflow: Optical flow esti- mation and prediction with memory","venue":null,"work_id":"743ab194-8251-4c61-908d-c51f993d5b7a","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.126470Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:c662ed8e35a7cb2b4f97da67a03f9960df815d47fb2da23adb17508c0565d3dd","observation_id":"527f941e-259d-4ad0-9f0a-215291d83748","resolution":{"observed_at":"2026-08-11T14:11:01.954481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.917729Z","title":"Rethinking op- tical flow from geometric matching consistent perspective","venue":null,"work_id":"438f6a22-67dc-4199-a139-3d42c2bab736","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.132019Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:19efbd580e8e197652514f2db1d124fbfac091a1ccbda6ae02c736ff816c3c43","observation_id":"b2998587-2747-49fd-834a-8d77132df38a","resolution":{"observed_at":"2026-08-11T14:11:01.925778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.890650Z","title":"Flownet: Learn- ing optical flow with convolutional networks","venue":null,"work_id":"a1b74098-dd00-488a-8f86-b41403296b48","year":2015},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.138095Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:b42fce29e69f28399790643852c931e3ce88b694f662ff069494684c5fc9837e","observation_id":"ee5a9f89-8f89-4c34-89cc-9ae3510eea54","resolution":{"observed_at":"2026-08-11T14:11:01.900967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.871748Z","title":"K¨ubler, and Andrea Mazzei","venue":null,"work_id":"319665a7-6e5f-4402-9b07-d54750224df0","year":2019},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.143024Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:d5f3df99764fc4d15771273df3e2edfa6a0ad2885c067c72c730d5f01a55c61f","observation_id":"ba0d7dcb-7412-4d6f-993e-cb22d0d32c65","resolution":{"observed_at":"2026-08-11T14:11:01.877242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.846131Z","title":null,"venue":null,"work_id":"ee954f73-b453-4d9c-9fb8-bd7638ee7938","year":2017},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.148692Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:73d80eeeac488ca6c3aad493435db144df8ba7f05023cac097b33a10aa0b8c03","observation_id":"975bdb2a-34ae-4930-8072-0728231cc381","resolution":{"observed_at":"2026-08-11T14:11:01.853149Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.825296Z","title":"Fu, Tri Dao, Khaled K","venue":null,"work_id":"f6e266f2-ec9d-4b3e-b0a4-1355a9464347","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.156706Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:7ea4c4b6f91de6fa0f0788ec45992d5a6694385e1b498897f6482d6e71c26388","observation_id":"4874b218-baba-4443-a02e-ec8e602223fa","resolution":{"observed_at":"2026-08-11T14:11:01.830882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.805593Z","title":"Orchard, Chiara Bar- tolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, An- drew J","venue":null,"work_id":"bfe55a37-7537-4b43-8c43-bdcf72db4fc9","year":2019},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.165133Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:45fb93978236c2dd797a50349d32343167bd6114c4151c18b41c4535732cbe34","observation_id":"7c7d09d7-33a6-4572-8dbd-e09f39ffbcc4","resolution":{"observed_at":"2026-08-11T14:11:01.811334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.784049Z","title":"Are we ready for autonomous driving? the kitti vision benchmark suite","venue":null,"work_id":"67d91f53-d0d6-4510-99e3-12dd081e2708","year":2012},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.171471Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:cf93b69c12cd769b6a29b18d12bbb2de8c50566c6a23d805ff970cf9f3d115b6","observation_id":"85a8caf1-f36f-4531-b95c-0fb7d070c0a3","resolution":{"observed_at":"2026-08-11T14:11:01.790687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.765579Z","title":"Mamba: Linear-time sequence mod- eling with selective state spaces","venue":null,"work_id":"e475f0a1-f632-4867-b84f-c6412d277542","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.177975Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:425f2cce68349230713199f369c15a5055863305d3409bb72371c9f2ca3ee112","observation_id":"c55fdcab-bb57-4fc2-9471-5be11039a321","resolution":{"observed_at":"2026-08-11T14:11:01.771416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.743349Z","title":"Combining recurrent, con- volutional, and continuous-time models with linear state- space layers","venue":null,"work_id":"e40100cd-d2ee-4a01-91fd-c303306a90c9","year":2021},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.183203Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:ec3d8012130033a0d0f83bc712780024f94f3e764a0baed3c9c95fe71a1dddab","observation_id":"8f520e63-2ebd-44f4-9d8c-e2ebf0c38770","resolution":{"observed_at":"2026-08-11T14:11:01.752933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.190511Z","title":"Efficiently mod- eling long sequences with structured state spaces","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.190511Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:8409e1ecdb7e13db3f408723d5aa9098da91d42c8d4c293910cd13c705ecd87f","observation_id":"1b2c0b10-9057-4e01-b328-a6cbdfaa5932","resolution":{"observed_at":"2026-08-11T14:11:00.190511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.196435Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.196435Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:84278890b6563bfa20d4c5aa1ec050238dfd9ffc7f62df79d97ed6c63abd14fe","observation_id":"14de0d7d-6cc3-44ab-8ee3-38b6cdee213f","resolution":{"observed_at":"2026-08-11T14:11:00.196435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.683823Z","title":"Zigma: A dit-style zigzag mamba diffusion model","venue":null,"work_id":"43e46cd7-131b-418a-803a-dbcb3ec43bd6","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.201950Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:b631bc075afc7701787d505984ee265ee3ff81774fbefd50a00c6e8a633cdcbf","observation_id":"092531cd-4a12-4d49-b255-1a466dd182b2","resolution":{"observed_at":"2026-08-11T14:11:01.691962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09338","last_updated":"2024-03-14T12:32:40Z","snapshot_observed_at":"2026-08-18T18:54:16.460042Z","submitted_at":"2024-03-14T12:32:40Z","title":"LocalMamba: Visual State Space Model with Windowed Selective Scan","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09338","snapshot_observed_at":"2026-08-11T14:11:00.207138Z","title":"Localmamba: Visual state space model with windowed selective scan","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.207138Z"},"links":{"cited_paper":"/paper/2403.09338","citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:5c0ad759c86d26c6e45fba34ef30197a20829e01f978f6d35b4a1415b91fcc4f","observation_id":"6465e043-c21c-408f-b85b-a0845805f04a","resolution":{"observed_at":"2026-08-11T14:11:00.207138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.662265Z","title":null,"venue":null,"work_id":"56571991-dcf7-4ac8-8a68-88b197d1aaae","year":2021},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.213293Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:53e11941fe8ee138d87638fda7c2210dd2305f2cf814eb00e3f9211e21a991ac","observation_id":"1e1f09ac-7f1b-497e-88e2-81a4de9f599d","resolution":{"observed_at":"2026-08-11T14:11:01.668419Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.637655Z","title":"K ´alm´an","venue":null,"work_id":"bdb613e6-b020-4bca-af99-99460d67c42d","year":1960},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.218688Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:0245554ecc9445e6ce18acd6455aeb4b5b73bec896207493034aae4d971e8758","observation_id":"38ecc308-8719-43e0-bd71-0b7dcf60f5fe","resolution":{"observed_at":"2026-08-11T14:11:01.645388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.617074Z","title":"Kipf and Max Welling","venue":null,"work_id":"673521f8-4d29-4321-aae3-38d8f6b68568","year":2017},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.224182Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:e9966a439c9bd9d20e2071786a55eac72a39ec0a6998034429b1b9b4932792a2","observation_id":"e951adef-8674-4193-9e89-3df52d733b6b","resolution":{"observed_at":"2026-08-11T14:11:01.623461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.596878Z","title":"Revisiting long- term time series forecasting: An investigation on linear map- ping","venue":null,"work_id":"93688973-6de2-43af-9973-7b450c273013","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.229564Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:14e136740525f43cb007746c2ae2307f702afce1c88a8299a20caed42ea20559","observation_id":"2f86f256-0914-49f7-92ba-f4cc425ef75b","resolution":{"observed_at":"2026-08-11T14:11:01.602537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.578138Z","title":"itransformer: In- verted transformers are effective for time series forecasting","venue":null,"work_id":"cf6838da-5f58-4614-9f5a-d66192e484e4","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.235707Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:62cab1289c48905677892b39b28ce4029eb4b5dd9201ab5f967c53422f0160a8","observation_id":"a5caccdb-498a-46ad-b374-9db073bedb3d","resolution":{"observed_at":"2026-08-11T14:11:01.584903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.551325Z","title":"Vmamba: Visual state space model","venue":null,"work_id":"5df870be-28a1-4a49-9f7b-5c40b690ec1f","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.241098Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:a34b0ff29aed89cd8f65395479aac7e0b269b91c9fd7a37f3a03cc1116ea3f0b","observation_id":"c2090925-6778-40b2-9d62-7d9ba4455329","resolution":{"observed_at":"2026-08-11T14:11:01.557785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.529924Z","title":"Swin trans- former: Hierarchical vision transformer using shifted win- dows","venue":null,"work_id":"357404b4-c46e-42ee-8536-30d6a45d0fd9","year":2021},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.246703Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:ea08c4940512104b6a7b11a7469e8d7526377d22d2f92b9e186a8c5987ada820","observation_id":"6463d82c-27c4-4838-86f6-70982b6e21c7","resolution":{"observed_at":"2026-08-11T14:11:01.535279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.511646Z","title":"A convnet for the 2020s","venue":null,"work_id":"3b797e4e-da10-41dd-95a9-a91388f1c54d","year":2022},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.252356Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:bb9fa002e43daa4d888cb09ef7507549f84adee676966cd1b36924e34eba89c0","observation_id":"367a300d-98f0-4733-b80b-ed2e0f2507df","resolution":{"observed_at":"2026-08-11T14:11:01.517221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.257856Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.257856Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:05fe1b85d69d59df9d4c7165b0af1583b9778a204da5113b0daf124b5d5db341","observation_id":"78b0e36a-6946-4fbf-8042-afdcc9232696","resolution":{"observed_at":"2026-08-11T14:11:00.257856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.472358Z","title":"Chen, Huaijin Chen, and Dongfang Liu","venue":null,"work_id":"2c9ae8e2-adec-4c58-9599-f845ece4b818","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.262429Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:6748e78592dc09ecaa1b5e757e43906014aad287690b4f1e0247ad6364c1ebfb","observation_id":"7b5d4269-c61b-4bcc-af17-929e073ec00d","resolution":{"observed_at":"2026-08-11T14:11:01.479795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.453766Z","title":"A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation","venue":null,"work_id":"3515a427-64e8-460c-a8c8-90cda0a425fe","year":2015},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.267420Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:3bd9e93cf91410a72cd2aed61b9e9876e3ae82800bb4bf4cd14ba748ab972deb","observation_id":"970a277e-354a-44a7-99f7-26e036bf9a1d","resolution":{"observed_at":"2026-08-11T14:11:01.459609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.432360Z","title":"Downs, Preey Shah, Tri Dao, Stephen A","venue":null,"work_id":"c6f0ec6b-c861-4d70-8d9b-36b08e1d42d2","year":2022},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.272990Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:6c569a4a34cb0ff17941cd4eb8806edb818910372a8ea7ee34425b869db553f2","observation_id":"20732687-f701-407f-b21c-74467f275b61","resolution":{"observed_at":"2026-08-11T14:11:01.439273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.407586Z","title":"Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam","venue":null,"work_id":"50bfce9a-3e1f-4756-9a0c-cd8b1172612c","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.278689Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:f76ac0f7e387f3d5bb909491ff6f8b6106e769756ec56baab1e5ab31dbc82198","observation_id":"081749ea-23d4-46b9-8d91-d91faf0a4688","resolution":{"observed_at":"2026-08-11T14:11:01.412513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.387316Z","title":"Ssm meets video diffusion models: Efficient long-term video generation with structured state spaces,","venue":null,"work_id":"719ed1d4-7741-4523-a798-8d8b94cb0a9e","year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.283941Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:10d5aafabc04b651d1d4e1b77480807667567956022dc11d2e5b8854225880f7","observation_id":"5b4dd3b9-308b-49a7-b628-11a8065a1ee5","resolution":{"observed_at":"2026-08-11T14:11:01.393391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.371263Z","title":"Deep-learning-based pupil center detection and tracking technology for visible-light wearable gaze tracking devices","venue":null,"work_id":"74ae8129-21d7-475a-8392-09deafa0ccdc","year":2021},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.290564Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:8dd12bd9c4276ff05743f1bc5d57ffdb727a6a653f5a9f0c04e796a8de86a27f","observation_id":"4fed30bf-8a35-48c7-be7c-9cb94dc2dde7","resolution":{"observed_at":"2026-08-11T14:11:01.376533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.353399Z","title":"Sudderth, and Jan Kautz","venue":null,"work_id":"904d1cbe-a0c4-4262-b52d-e6385de970e2","year":2019},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.296763Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:558487aa7702086b4a7db7f84bb4389d571db9e7881cf43cb9f72961e444b649","observation_id":"518ded47-56e4-4f87-891a-f4914e3b7abe","resolution":{"observed_at":"2026-08-11T14:11:01.359218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.333220Z","title":null,"venue":null,"work_id":"56f62a41-9851-4a9f-920b-2554507b9006","year":2015},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.301765Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:c8a7c6f1f3fab659f9539282b1cbddd69eeb667fe1f65efa90715db3e92e3a1a","observation_id":"bd1a2bb5-aeb8-4c51-98bb-2d9ddc897fa1","resolution":{"observed_at":"2026-08-11T14:11:01.339400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.306581Z","title":"See, Hongwei Qin, Jifeng Dai, and Hongsheng Li","venue":null,"work_id":"06508f82-8614-44fd-bc2a-785e03c5eab9","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.306432Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:50c9c42b55c103920272b8bc2dd31aed1c606302007c5638211245c23d21dfea","observation_id":"8226d345-b88e-4bc0-b101-5a3b2b3b1ac2","resolution":{"observed_at":"2026-08-11T14:11:01.313563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.287101Z","title":"See, Hongwei Qin, Jifeng Dai, and Hongsheng Li","venue":null,"work_id":"9aa14739-91d7-4093-a5ed-8bcedcb3d029","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.313396Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:e875f82f0c13415addd675142c537a87e1614554f1badc3f32e9180cc8a3a8a4","observation_id":"6e7a0c5a-d7e7-4269-9589-84c4c00804f4","resolution":{"observed_at":"2026-08-11T14:11:01.292236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.261693Z","title":"Smith, Andrew Warrington, and Scott Linder- man","venue":null,"work_id":"eacbfa92-467f-40e8-8b1d-8a13d1821e3d","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.318305Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:02e264b3bc228739f56d514f6688169c05b2737a9b2877ccfe803f8f9adcd3a0","observation_id":"8c9a0807-e6b1-4da0-a4a7-4c6f4e22ca3b","resolution":{"observed_at":"2026-08-11T14:11:01.268000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.243121Z","title":"S7: Selective and simplified state space layers for sequence modeling, 2024","venue":null,"work_id":"4a105e1d-81e7-4baf-9719-f403be559c99","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.324363Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:566b3327931e7c4d36f06307526e2ec1f974452017d21def6a3dee97cfdde5ff","observation_id":"b1e195f8-8a8b-42d6-9c56-a3affe3f6c75","resolution":{"observed_at":"2026-08-11T14:11:01.248488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.220888Z","title":"Zhu, Guodong Guo, and Gezhong Li","venue":null,"work_id":"7e11d88f-261e-4de7-9f52-227ffff9640c","year":2022},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.329648Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:9fd7fc8a89956de3b2af37739fc1951d8eec2d7eedb5d05bc8163ed5e90728a7","observation_id":"bb584a76-d6af-4dfd-a3d7-3f7569e8e11a","resolution":{"observed_at":"2026-08-11T14:11:01.228718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12570","last_updated":"2024-08-22T17:38:59Z","snapshot_observed_at":"2026-08-19T18:56:26.707023Z","submitted_at":"2024-08-22T17:38:59Z","title":"Jamba-1.5: Hybrid Transformer-Mamba Models at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12570","snapshot_observed_at":"2026-08-11T14:11:00.334311Z","title":"Jamba-1.5: Hybrid transformer-mamba mod- els at scale","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.334311Z"},"links":{"cited_paper":"/paper/2408.12570","citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:579afb7b9c44b07e2a6bcdcccad506ac0044939a3a4a374bd82acd5fab452f57","observation_id":"d389e8cf-6dde-42e4-bbbd-dbd0fe6fbd44","resolution":{"observed_at":"2026-08-11T14:11:00.334311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.204174Z","title":"Raft: Recurrent all-pairs field transforms for optical flow","venue":null,"work_id":"9f3e60ce-53e5-42b7-af1f-530fd6a9e688","year":2020},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.340086Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:0bf3bc844ff9ed4e0f407d34d3eb00643f737df91b7d3bdf84d7a07c1d67e34a","observation_id":"4eb849e5-7519-4b88-8f4a-ab571c1d7fe4","resolution":{"observed_at":"2026-08-11T14:11:01.210170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.188794Z","title":"Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments","venue":null,"work_id":"a4593766-e56c-40ca-a47c-1848c4102196","year":2015},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.345353Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:19b26ca2d941107f645e359dfd596e1ef602c47a6083e58034bee30fea039f94","observation_id":"67ed223f-9ab1-4cb3-88cf-8124f02f5224","resolution":{"observed_at":"2026-08-11T14:11:01.193865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.170484Z","title":"Train- ing data-efficient image transformers & distillation through attention","venue":null,"work_id":"077013fc-5a69-4bf4-83ab-456258581e1b","year":2020},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.351191Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:5e06e84e10a2da1854b18a0c60592cf3f815ad48612a16527aa8d32cc6b74421","observation_id":"fa9ae1b4-6628-4511-b68e-3b01ba196530","resolution":{"observed_at":"2026-08-11T14:11:01.176370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.150622Z","title":"Attention is all you need","venue":null,"work_id":"13851213-4a81-450f-b4c2-9178d264c397","year":2017},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.358212Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:e1336877d0eb5bfa22c073307507ce2bb24580be4a9d2c40a3721c2cc470f936","observation_id":"849b19cf-1d6e-4c60-b956-eb8590d926d2","resolution":{"observed_at":"2026-08-11T14:11:01.156374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11144","last_updated":"2024-04-27T12:39:09Z","snapshot_observed_at":"2026-08-19T19:34:51.980876Z","submitted_at":"2024-03-17T08:50:44Z","title":"Is Mamba Effective for Time Series Forecasting?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11144","snapshot_observed_at":"2026-08-11T14:11:00.363838Z","title":"Is mamba effective for time series forecasting? ArXiv, abs/2403.11144, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.363838Z"},"links":{"cited_paper":"/paper/2403.11144","citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:454ee15e81ffb7ba3a252455f02409ae3ebd3b5cd8b7f06c60870485df0c7ddc","observation_id":"e1b4f17c-c77b-4484-a2dd-97cd14af2165","resolution":{"observed_at":"2026-08-11T14:11:00.363838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.126633Z","title":"Timesnet: Temporal 2d- variation modeling for general time series analysis","venue":null,"work_id":"1451b485-668f-4bb0-b847-0fe5d2216b2b","year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.369799Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:5eeda597c3e2af9973765355c8bad2290eda9fc8a406ab3e6b198cf1da51ddfc","observation_id":"1acc1c55-d050-476c-bd78-6d3dd8ad8abe","resolution":{"observed_at":"2026-08-11T14:11:01.135535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02395","last_updated":"2024-06-04T15:09:29Z","snapshot_observed_at":"2026-08-16T13:46:15.085429Z","submitted_at":"2024-06-04T15:09:29Z","title":"GrootVL: Tree Topology is All You Need in State Space Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02395","snapshot_observed_at":"2026-08-11T14:11:00.375268Z","title":"Grootvl: Tree topology is all you need in state space model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.375268Z"},"links":{"cited_paper":"/paper/2406.02395","citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:f339a9b16228b099691ad1827b4da1c42bda1504ae2889221376777e08899430","observation_id":"71b111f1-186f-4f25-971d-b6b6326d064c","resolution":{"observed_at":"2026-08-11T14:11:00.375268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.104224Z","title":"Gmflow: Learning optical flow via global matching","venue":null,"work_id":"84fb468b-4cad-491e-99d5-97bec6dd3c15","year":2022},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.382689Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:9112935fefe1cc562d7076a42b45f25ee27a03f54527585f4bef876ce90ecbf8","observation_id":"850ec9be-52d8-432a-8ce4-0abc7b3f80f3","resolution":{"observed_at":"2026-08-11T14:11:01.110739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.084033Z","title":null,"venue":null,"work_id":"fd796576-d564-41e0-8fb7-0aae32c7bd90","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.389220Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:abb014bc8504bd7e371b6b98f6bcede3766cfa17f0f0620253dca9c3f71300e3","observation_id":"2e565b43-c237-410c-b7a9-195b6e7a96f5","resolution":{"observed_at":"2026-08-11T14:11:01.090313Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.058147Z","title":"Cutmix: Regu- larization strategy to train strong classifiers with localizable features","venue":null,"work_id":"3123ee0f-0b0d-4f15-b194-4dac259aecbe","year":2019},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.403106Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:ecc5873d2750be58008d46751c6e761e2d4147b29b5a80cfec179d1fe30fb822","observation_id":"3350f5b6-d90f-481c-8ced-0e1aae02cc83","resolution":{"observed_at":"2026-08-11T14:11:01.065541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.035730Z","title":"Zhang, and Qiang Xu","venue":null,"work_id":"edc29251-1ee0-42a8-a481-05d5dab96639","year":null},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.423392Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:015ec512fa82660b0da444798ecc317e8b1b21a66df1bfb3fd902c226d5b86fd","observation_id":"ce657e0d-5628-460f-b576-64a1989c75b5","resolution":{"observed_at":"2026-08-11T14:11:01.041280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:01.011384Z","title":"mixup: Beyond empirical risk minimization","venue":null,"work_id":"d5c3dab4-9bbc-4fda-8119-821d0bbee990","year":2018},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.431517Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:7c1b254fb40912d8d37f104739f09cdcf3792fbfcb6a43f784ff6555d266592e","observation_id":"a86968ed-cb5c-4665-b7c4-920d0c475cab","resolution":{"observed_at":"2026-08-11T14:11:01.018300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14949","last_updated":"2022-05-30T09:34:44Z","snapshot_observed_at":"2026-08-20T11:16:58.423910Z","submitted_at":"2022-05-30T09:34:44Z","title":"HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.14949","snapshot_observed_at":"2026-08-11T14:11:00.442638Z","title":"Hivit: Hierarchical vi- sion transformer meets masked image modeling","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.442638Z"},"links":{"cited_paper":"/paper/2205.14949","citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:d4a9848c297e0caa153d23d9e348ce2848aaab003267b015225ddfb78368e391","observation_id":"44efd3c1-4d68-41fd-bf2e-dd1fa8531378","resolution":{"observed_at":"2026-08-11T14:11:00.442638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.987356Z","title":"Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting","venue":null,"work_id":"9b125675-2956-42c4-accf-bed635fc8514","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.456076Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:8db6dd5cddc668d6b352c8b64fe163b07b55273da473d9f6c3cc4561a9837e95","observation_id":"556e7fe9-32f5-46ff-8517-f45fda867639","resolution":{"observed_at":"2026-08-11T14:11:00.993904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.964109Z","title":"Ev-eye: Rethink- ing high-frequency eye tracking through the lenses of event cameras","venue":null,"work_id":"b5a65cc8-cf39-4f9c-b8f8-66402fc1c42a","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.462432Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:f7614674d4dd93ae739f44c85c0d0948ce0af6c5626f2b6644b96f2a735e99f3","observation_id":"0293c1c5-a8b5-4ef5-a8ee-d5855502dc05","resolution":{"observed_at":"2026-08-11T14:11:00.970406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.939497Z","title":null,"venue":null,"work_id":"cbe5dbd9-a58f-468a-ba9b-a88b6bf47c4f","year":2022},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.470432Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:0477a930e9d26d54f91f23fbaff034ca90ee06b741f30e2ce7147c7b2ca34d4b","observation_id":"246e9cd0-e47f-499e-bd96-f18cead81966","resolution":{"observed_at":"2026-08-11T14:11:00.946734Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.910790Z","title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","venue":null,"work_id":"dbf105cb-924f-4385-90ef-ff7bb37435bc","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.477143Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:6c21add041c80974a4e57d9f64ab9803f0293c0cdbd3ae92354099223ff95832","observation_id":"e01a7b96-74f2-4410-a59e-f7e6bda54862","resolution":{"observed_at":"2026-08-11T14:11:00.918076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.883056Z","title":"An effective loss function for generating 3d models from single 2d image without render- ing","venue":null,"work_id":"a87767c5-e183-432a-98d0-e72aae0102ed","year":2021},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.482339Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:247e0d15417d978adf359ae7ae66955d42c8a33c074ce100d4d2fe9f269a99ca","observation_id":"617bccda-2f3f-4197-ab3e-a041b7743193","resolution":{"observed_at":"2026-08-11T14:11:00.890105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.858570Z","title":"From chaos comes order: Ordering event rep- resentations for object recognition and detection","venue":null,"work_id":"b05ec3b3-ebac-49c0-844e-667e370fd5ad","year":2023},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.489431Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:100f7e851f219fec533228d65feb7b2975020b987b95db3241fc7d683da90183","observation_id":"5ec50ff1-74a5-4a4a-a15b-37bb27589411","resolution":{"observed_at":"2026-08-11T14:11:00.866185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.827358Z","title":"State space models for event cameras","venue":null,"work_id":"7e8d0854-3659-4634-bec1-39ddf9761efb","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.494609Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:13375efca1842a27ae7f1b5f94c523fb87f2a177c03ff72435d64bef9d0eedcc","observation_id":"ba967ad1-9c56-421a-b754-f8be74bad47a","resolution":{"observed_at":"2026-08-11T14:11:00.833747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:11:00.803702Z","title":"Limits of deep learning: Sequence modeling through the lens of complexity theory, 2024","venue":null,"work_id":"532aaa42-fe94-422a-afee-566cb9144942","year":2024},"citing_paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T14:11:00.501033Z"},"links":{"citing_paper":"/paper/2412.12423"},"observation_digest":"sha256:2ae10fbcae52eefde03f869eecea1f0d604cc475b395f3b73e8c1a2856069c30","observation_id":"34baa129-8012-43e5-8218-fac9e93469fe","resolution":{"observed_at":"2026-08-11T14:11:00.810935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.12423","last_updated":"2025-04-05T10:05:26Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-20T02:25:13.487857Z","submitted_at":"2024-12-17T00:07:29Z","title":"GG-SSMs: Graph-Generating State Space Models"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":53},"total_outbound_references":68},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2412.12423."}