{"as_of":"2026-08-10T08:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:240d7a1dcfd63e6859604dd55e67e133f2119f19da1e29ca30a0dcf80c214f20","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T12:10:07.747846Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2502.07650/citation-record","integrity":"/paper/2502.07650/integrity","json":"/paper/2502.07650/citation-record.json","paper":"/paper/2502.07650"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T12:10:07.470955Z","title":"Natural gradient works efficiently in learning","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.470955Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:41fbc3cbd859d83737f1df917130d84e6e2a542d4018524caffe407d3f658adc","observation_id":"30867ddd-18aa-4cf7-907d-01183c6b036b","resolution":{"observed_at":"2026-08-08T12:10:07.470955Z","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":"2026-08-08T12:10:07.476562Z","title":"Methods of information geometry, volume 191","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.476562Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:68e4c38a8282429d7dd5463135da609055e013110fbe2638f436dab976ad7c5f","observation_id":"a05f4c76-b91a-4439-a055-30de73859ed1","resolution":{"observed_at":"2026-08-08T12:10:07.476562Z","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":"2026-08-08T12:10:07.482186Z","title":"Gradient flows: in metric spaces and in the space of probability measures","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.482186Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:00a35a7f82916232c5afab4912016317fcaef445d326d22373c1baa7ee290a8a","observation_id":"2d732058-321f-43d2-8757-5c0123b15d72","resolution":{"observed_at":"2026-08-08T12:10:07.482186Z","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":"2026-08-08T12:10:08.580477Z","title":"Kernelized wasserstein natural gradient","venue":null,"work_id":"234c3ae0-979f-408f-8fdd-dd66645c6de3","year":2020},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.488246Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:6d0ed24efe8e9e0fbf7876c92239acfde488f860c4081ddc95666231c389c8aa","observation_id":"90fe56dd-015a-4b2d-8e13-06911ff57ce4","resolution":{"observed_at":"2026-08-08T12:10:08.585372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.565591Z","title":"Kernel conditional exponential family","venue":null,"work_id":"964cf9c0-5330-47ce-8c43-3488d8bc341c","year":2018},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.492950Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:394144daa072a3adb2450aea011559d109a40825ed212c0e7c8041e6d554dd5f","observation_id":"0b7c634a-d796-46da-8956-8970ca70ad3e","resolution":{"observed_at":"2026-08-08T12:10:08.570432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.550397Z","title":"Maximum mean discrepancy gradient flow","venue":null,"work_id":"3ee49f15-4285-426b-b1de-b1f635eb0240","year":2019},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.497980Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:d3e13af129fcf498ea6f6d1034c9d165b92f89b2259813ad3e54df0eb838a84d","observation_id":"3563ed30-97ee-4076-b044-976b116aa0dc","resolution":{"observed_at":"2026-08-08T12:10:08.555401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.534738Z","title":"Wasserstein generative adversarial networks","venue":null,"work_id":"389b60fd-fe29-403c-afbd-241b04dfd569","year":2017},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.503968Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:d74b40b9d6e59130305634834961bccbf2f7c3cca90c5b54332b94aebd4a11ff","observation_id":"0398ada3-fbc4-4cec-80de-e9dab7ce6fb0","resolution":{"observed_at":"2026-08-08T12:10:08.540205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.519518Z","title":"Exact natural gradient in deep linear networks and its application to the nonlinear case","venue":null,"work_id":"a55813bd-6ff1-4590-aa2c-d3d3232bf458","year":2018},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.508975Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:b45a122009b3add74b7d4e768369bfb68e0f642ad4ba66c6ad8a841b489b7331","observation_id":"34c1f6d8-1df1-4059-aa27-18d01114b769","resolution":{"observed_at":"2026-08-08T12:10:08.524414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.504741Z","title":"Diffusion schr\\\"odinger bridge with applications to score-based generative modeling","venue":null,"work_id":"9d53ed65-6233-486d-9299-d8e1fd729e7c","year":2021},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.513829Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:a431657f2eabdf03f9a81eaa2a4d6e054dd5429b536d110a163297e9769e4052","observation_id":"7da3c650-3d7b-47f1-8418-97653f6c0e06","resolution":{"observed_at":"2026-08-08T12:10:08.509635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.488115Z","title":"Statistical inference, 2nd Edition","venue":null,"work_id":"35582bea-ea50-4b7e-a030-fa65a14108ac","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.518580Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:3a85c8f5794c664f14eaccf419dc6a787cb522360ef77e11f726a47b6c4b76af","observation_id":"ab796a30-7ab5-4e63-80b2-bf45383fe8e2","resolution":{"observed_at":"2026-08-08T12:10:08.493896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.473082Z","title":"Neural ordinary differential equations","venue":null,"work_id":"50d907cc-2327-42d7-bd4e-6937edb22b70","year":2018},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.523518Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:1369884e6c5049520e28904ef11268f77bf1a8eb0a39a42f87016aea69d6a545","observation_id":"eb85475e-1003-417a-a968-c9f7840860bf","resolution":{"observed_at":"2026-08-08T12:10:08.477933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.458019Z","title":"Rethinking the diffusion models for missing data imputation: A gradient flow perspective","venue":null,"work_id":"445fcf47-53f4-4564-bde2-092b3e1967d5","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.529113Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:f94b7d6405020a64f6d6bc3fee9f11e541cf4fd2677634a03b6ce953a809fd38","observation_id":"4a2d5e42-01b6-49bd-9388-00f32afe1045","resolution":{"observed_at":"2026-08-08T12:10:08.463081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.442873Z","title":"Teng: Time-evolving natural gradient for solving pdes with deep neural nets toward machine precision","venue":null,"work_id":"777e1a25-a734-4ba8-bb30-4409e3d01d49","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.534018Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:e2998593233763d7314e1bc0114aadd796e99d99a35e21fe6ef73c58a562b2d9","observation_id":"c0b7169f-2781-420b-bb66-6fa1894961a2","resolution":{"observed_at":"2026-08-08T12:10:08.447511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.427410Z","title":"Underdamped langevin mcmc: A non-asymptotic analysis","venue":null,"work_id":"56c4d7bf-d86b-4c15-ac43-855d6de05f9b","year":2018},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.539064Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:bd6d9eddec8391fb2c0c4c3ddcf6b9785401e586700e924f1ef7db445271c94e","observation_id":"d7005b89-fd8e-4323-a544-4a0f2e8a8462","resolution":{"observed_at":"2026-08-08T12:10:08.432376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.411456Z","title":"Log-Concave Sampling","venue":null,"work_id":"fb1604c7-9174-49f1-a22e-05c21a3421d0","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.544304Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:3986101eba0afd79fd0a8f02da139c7d70bd22d7144788f4e4fc21a612982f60","observation_id":"f392bf14-4133-4cf0-9e62-fd848e04756c","resolution":{"observed_at":"2026-08-08T12:10:08.416785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.394462Z","title":"Svgd as a kernelized wasserstein gradient flow of the chi-squared divergence","venue":null,"work_id":"04ab4c34-798a-4d11-ac7c-34ffeb565244","year":2020},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.549318Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:7fccc6d2121ab08b076ea4c9b3453d81bb37114efee108bdabe76fd0d4600c20","observation_id":"1923db43-0386-495c-a2cd-00d9d8912764","resolution":{"observed_at":"2026-08-08T12:10:08.399761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.378540Z","title":"Scalable wasserstein gradient flow for generative modeling through unbalanced optimal transport","venue":null,"work_id":"b7844bf2-9c48-47b3-a6f4-79d14361e5c7","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.555372Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:ebd76cdebeefd737d5aa9af9d658684eb3f82b28722bec73c26c19bcd5fb40c1","observation_id":"ebde1dd0-b13a-4ffe-929b-a17229ae31f0","resolution":{"observed_at":"2026-08-08T12:10:08.383807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.362901Z","title":"Density ratio estimation via infinitesimal classification","venue":null,"work_id":"2eadf795-60f9-4e33-bad6-27ac4d9eba40","year":2022},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.560280Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:45b682a18dd57e89a1cc9125b5cd36ae54ab172dcc7ee8cf56fd587e79d0e55f","observation_id":"0842471d-4ddd-4833-8fb0-5f4690eda006","resolution":{"observed_at":"2026-08-08T12:10:08.368092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.345102Z","title":"Optimal transport for domain adaptation","venue":null,"work_id":"a61fe3ac-1f8e-4e55-91dc-59b1856d309a","year":2016},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.564988Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:fc022ff039f740939b6cd68701063dbcd1dc5a18e6f8d85da5577525aaca82e3","observation_id":"0073ceaf-7bde-4e5e-ad04-9c4218ae11b8","resolution":{"observed_at":"2026-08-08T12:10:08.351098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.327726Z","title":"Sparse inverse covariance estimation with the graphical lasso","venue":null,"work_id":"a9db984f-9257-4170-8cbf-01267aea4691","year":2007},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.570463Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:54fe7b49f181680fe46c3430e63b9a66f82f8ef56d127cf8ee285f7dc62b5fae","observation_id":"72341af5-2696-4ef0-9b32-dfdd5bb744c6","resolution":{"observed_at":"2026-08-08T12:10:08.332623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.311511Z","title":"Deep generative learning via variational gradient flow","venue":null,"work_id":"b11a6592-36ec-4a87-9675-470d4531facf","year":2019},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.575889Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:ed016b6eba36d9bc27599872e187b1d8778d35cca3a7944d1fb688aed31ce149","observation_id":"64ad0af0-5904-4a34-9780-6812dbb58cff","resolution":{"observed_at":"2026-08-08T12:10:08.316811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.295647Z","title":"Fast approximate natural gradient descent in a kronecker factored eigenbasis","venue":null,"work_id":"9a5803c9-dfb5-4819-a264-a9427c95bbe7","year":2018},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.581755Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:38af3ecea21bc6c241f1dae73dadd49ccdf778a68816880c5160221ac78634ef","observation_id":"d419a101-b828-40e9-a502-8ed8dbb49da4","resolution":{"observed_at":"2026-08-08T12:10:08.300436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.279871Z","title":"Geodesic flow kernel for unsupervised domain adaptation","venue":null,"work_id":"c1b9d927-f33b-479d-a9fd-a3986add51c0","year":2012},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.586977Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:50fe78816f11e220e50f008d3e1f63573cb1206ad8f463724533e6cae1daf4cb","observation_id":"20ae8842-c374-4194-bd1b-c18b68117699","resolution":{"observed_at":"2026-08-08T12:10:08.284897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.263530Z","title":"Generative adversarial nets","venue":null,"work_id":"a4b2ca8b-b5f4-43bb-89de-8034d2a9c895","year":2014},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.592054Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:7518b7d4bd9ace72db8293a280afea9fc6bd5bb37888da67bcdfab86af21deb1","observation_id":"31b2536a-deff-4cd3-82cf-3398a6f97c4c","resolution":{"observed_at":"2026-08-08T12:10:08.268656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.597993Z","title":"Borgwardt, Malte J","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.597993Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:9e83cd5a0c53ed14f064f01848ad14189703228b496f4c41878b077eddf0c2d0","observation_id":"b3e50466-8b12-45ca-bc10-10e11061d799","resolution":{"observed_at":"2026-08-08T12:10:07.597993Z","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":"2026-08-08T12:10:08.234722Z","title":"A kronecker-factored approximate fisher matrix for convolution layers","venue":null,"work_id":"490154ce-7d3e-4d34-b327-3ebeb061e84a","year":2016},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.603183Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:8620572b8be8af3836d65445fc96fadb90eba89472ab2eaa048bc5651cff2e83","observation_id":"51fcecfd-6a7d-427b-832a-ba746b12ed1f","resolution":{"observed_at":"2026-08-08T12:10:08.240363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.218527Z","title":"Vector quantized diffusion model for text-to-image synthesis","venue":null,"work_id":"330a440d-27a0-4ec6-9df4-df678effa8da","year":2022},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.608441Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:9267d9fd5e8f88a62ae81db4dc550d4dd226db2fa402b947a7fb2a224733771e","observation_id":"b892cf9e-e2f4-4f1b-b15f-ccff7190e175","resolution":{"observed_at":"2026-08-08T12:10:08.223739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.202002Z","title":"Posterior sampling based on gradient flows of the MMD with negative distance kernel","venue":null,"work_id":"36ce0832-e78b-4715-aeba-fb4b7954922a","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.613444Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:4177b339b9626708c92bf28d91cae8d080445ff4c6d59f013a6727ce8e4787f2","observation_id":"8ec5d3f0-d305-4712-aa9e-7eefdb7cb6f1","resolution":{"observed_at":"2026-08-08T12:10:08.207605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12456","last_updated":"2025-03-03T23:57:58Z","snapshot_observed_at":"2026-08-05T11:35:47.037300Z","submitted_at":"2024-10-16T11:08:02Z","title":"Training Neural Samplers with Reverse Diffusive KL Divergence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12456","snapshot_observed_at":"2026-08-08T12:10:07.618238Z","title":"Training neural samplers with reverse diffusive kl divergence","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.618238Z"},"links":{"cited_paper":"/paper/2410.12456","citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:1fe5ded2d11ceaba68c7b9f16b1891311c3dcbb364adc2e23d423d91fdeb0f6f","observation_id":"ea27392d-844f-4fe3-9bb7-f023d79f67b2","resolution":{"observed_at":"2026-08-08T12:10:07.618238Z","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":"2026-08-08T12:10:08.184689Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":"8e9abcaa-79e5-45ce-8a94-26fd6f256b60","year":2020},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.624678Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:7252cec090f84381f89901ec0f6b70175f382ceda180da611cfe9cfb99709fec","observation_id":"a0a52713-b457-4527-8344-7898f4e14a08","resolution":{"observed_at":"2026-08-08T12:10:08.189967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.167975Z","title":"Neural tangent kernel: convergence and generalization in neural networks","venue":null,"work_id":"2930d2be-87bc-4745-8325-1d583703a88e","year":2018},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.629533Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:f5eed28e1147a4b6685830384765139aa4aceae9bd56c18b316f98bde9a49a17","observation_id":"353b2042-5e1a-49d0-9858-0f5e5677dbc7","resolution":{"observed_at":"2026-08-08T12:10:08.173358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.634112Z","title":"Kingma and Max Welling","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.634112Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:53df3848524255d88dc5fc667e9e3174269b52a232fcf3569ccfbe035a3aa203","observation_id":"16f06db8-ab4f-49b1-9890-1059f48a18c8","resolution":{"observed_at":"2026-08-08T12:10:07.634112Z","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":"2026-08-08T12:10:08.125532Z","title":"Neural speech synthesis with transformer network","venue":null,"work_id":"bb459da7-e522-467a-8561-c308e9256a6b","year":2019},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.639155Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:5e6569f63a4d8d9088b346d285a660f50017ab94dd1d991b560000db15768292","observation_id":"bbb0c7b8-72b6-40ce-a017-2bf0d374bd3e","resolution":{"observed_at":"2026-08-08T12:10:08.131048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.106843Z","title":"Affine natural proximal learning","venue":null,"work_id":"aafbf2ee-34ab-423c-8117-efacfbaebcc4","year":2019},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.643877Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:40ca10bffa4480696b7c9dee81aa0b3f0eb47afcfbe200dd995f51e14e79b9aa","observation_id":"6ffa20dd-7145-4476-a432-7d92655c24d7","resolution":{"observed_at":"2026-08-08T12:10:08.112168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.088953Z","title":null,"venue":null,"work_id":"1b01f46e-91b1-42fb-86fe-33bbc30f7e88","year":2023},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.648826Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:0f52a0a9eba7be0532ab66cbd5d1219cceccd912472100719aa83fe66fc4941c","observation_id":"ba8a3bfb-9500-41f2-9f6f-6d766c4be770","resolution":{"observed_at":"2026-08-08T12:10:08.094748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.071234Z","title":"Stein variational gradient descent as gradient flow","venue":null,"work_id":"7bdb380a-66cd-444b-813c-a36b86f2ce87","year":2017},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.653893Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:7cef1e67ee655a55708f4822d3005ed3970c7ddc775d6bfda6a3d460784ff011","observation_id":"54000824-b837-465b-aea1-484fbce58d38","resolution":{"observed_at":"2026-08-08T12:10:08.076822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.054811Z","title":"Minimizing f -divergences by interpolating velocity fields","venue":null,"work_id":"c83cd63e-5c99-450c-badf-13c071543de8","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.658928Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:7983ab9cfa0f5ca25f2247cefe6407fcd29c3b6c3795572708759075a89de949","observation_id":"cd11b1ab-6dd6-449e-a83d-0f119c0499cb","resolution":{"observed_at":"2026-08-08T12:10:08.059523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:08.037801Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":"f99b3089-33c4-43e2-a6e7-2addbf31005b","year":2023},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.663805Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:af79ecaa2779c88f90d6999220d25ca6f5855738e7f6559f0c789ae05960b5c4","observation_id":"5233f1d5-da35-4172-bd85-b3114af1819d","resolution":{"observed_at":"2026-08-08T12:10:08.043067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.669090Z","title":"Optimizing neural networks with kronecker-factored approximate curvature","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.669090Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:bfca4da8f53e7fdef6781cbcd1a9c344d1627b18f21ce9c69a742c647363a89e","observation_id":"45ba2a97-91a8-44c7-ba24-251147266e2c","resolution":{"observed_at":"2026-08-08T12:10:07.669090Z","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":"2026-08-08T12:10:08.008435Z","title":"Sampling in unit time with kernel fisher-rao flow","venue":null,"work_id":"7b58f569-2afb-484b-8fd2-8e72476eb25c","year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.674065Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:ac64bbe503c21cc29261e649406f49202e4571a457d5376ab570961074d96379","observation_id":"d74614ad-de44-41d7-985f-e146090a6356","resolution":{"observed_at":"2026-08-08T12:10:08.015200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.990570Z","title":"Alemi, Jascha Sohl-Dickstein, and Samuel S","venue":null,"work_id":"ee15e67d-8f3f-4f53-b9ce-aa1eb6299211","year":2020},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.680020Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:f9851ea00d750bf0ed917a6726ff904beefab89533c14298f5a423adee54f5c0","observation_id":"3b8af45e-206a-4fc5-914a-c9e6d25bdb90","resolution":{"observed_at":"2026-08-08T12:10:07.995830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.974922Z","title":"Dataset shift in machine learning","venue":null,"work_id":"84ae09e5-b053-42cf-b8d6-ee68dbff787d","year":2009},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.684751Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:c8fd094c5efcf971d4c53c78bdbaa3ffd5d1adf31ee4131f1e32f795a6d47ee4","observation_id":"99bfe56d-c7ac-4d30-bca7-ad6087faad9c","resolution":{"observed_at":"2026-08-08T12:10:07.979503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.690058Z","title":"Variational inference with normalizing flows","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.690058Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:a69b419de5639b5db130df6ff721f6431fc8b427696de9e4ef3f9dc759e1ea3e","observation_id":"e9e4fddf-0417-480b-a7ff-682d62ff6043","resolution":{"observed_at":"2026-08-08T12:10:07.690058Z","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":"2026-08-08T12:10:07.948545Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"ad24232e-4955-4b2d-892e-5b7076e5835a","year":2022},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.695669Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:be6411d304a3b0b9d07fac2a75e565ecb089c5761d3c2e82e32d383db15c9c8d","observation_id":"73b5c353-acb6-4784-b619-417f56246dd0","resolution":{"observed_at":"2026-08-08T12:10:07.953714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.03288","last_updated":"2021-02-17T19:20:09Z","snapshot_observed_at":"2026-08-07T02:28:23.454003Z","submitted_at":"2021-01-09T04:51:31Z","title":"How to Train Your Energy-Based Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.03288","snapshot_observed_at":"2026-08-08T12:10:07.701346Z","title":"How to train your energy-based models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.701346Z"},"links":{"cited_paper":"/paper/2101.03288","citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:da20a0e355229e393f1de29f84e745e3d2fc41c42451125cbd187fc67a5a906d","observation_id":"e5b3a66e-b2da-4a80-aca5-83e3a841fbbe","resolution":{"observed_at":"2026-08-08T12:10:07.701346Z","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":"2026-08-08T12:10:07.706381Z","title":"Score-based generative modeling through stochastic differential equations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.706381Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:8968c8714e8405a0abb567d241b145a758b7b87da1c593c08fcff53a032461c1","observation_id":"513a7996-b39c-41c0-8b5a-d24c0b12b588","resolution":{"observed_at":"2026-08-08T12:10:07.706381Z","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":"2026-08-08T12:10:07.920613Z","title":"Density estimation in infinite dimensional exponential families","venue":null,"work_id":"f5bc68cc-aa8a-4947-91dd-8b878f9de814","year":2017},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.711063Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:7cd4bb1f0b6a00b5c68614c29495192a36cd37ba7b11a36de4b94471536a88ed","observation_id":"7c7213e7-496d-4bea-8230-6f6e5896b46d","resolution":{"observed_at":"2026-08-08T12:10:07.926223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.903072Z","title":"Direct importance estimation with model selection and its application to covariate shift adaptation","venue":null,"work_id":"9e58d2e6-a393-49c1-89ab-957cec5030db","year":2008},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.715484Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:aa4357e315524e24096f838c652d532e3ef5753b861ddc713e53c0b2bee3b19c","observation_id":"3a742811-36bb-4d3c-8b14-8aa29337496c","resolution":{"observed_at":"2026-08-08T12:10:07.908352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.719774Z","title":"Naturalspeech: End-to-end text-to-speech synthesis with human-level quality","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.719774Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:6aa0a838ed894cedbc0cc64cfc32ec56675b6000a5ab4fb1d9983266ca664c7c","observation_id":"1aa7c45f-e666-4f31-93f8-acebf799769b","resolution":{"observed_at":"2026-08-08T12:10:07.719774Z","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":"2026-08-08T12:10:07.724017Z","title":"Graphical models, exponential families, and variational inference","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.724017Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:5d5b6d0174e8f06bf26e9dddebe29c86fc1ff2fc6eeb08505279f19bd64fc5a6","observation_id":"c43d3397-b8e3-45e6-bf52-df2fc669e244","resolution":{"observed_at":"2026-08-08T12:10:07.724017Z","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":"2026-08-08T12:10:07.730542Z","title":"Diffusion-gan: Training gans with diffusion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.730542Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:96eefeb63a8ae720f04024162cff99f19539a6ea5daaa4c6e542ca75826be620","observation_id":"0c021102-a2f4-418b-8a60-12d1d1ad2eb8","resolution":{"observed_at":"2026-08-08T12:10:07.730542Z","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":"2026-08-08T12:10:07.854555Z","title":"Kernel ridge regression","venue":null,"work_id":"0c2236d0-7b19-44c2-a59e-fd82bede28c9","year":2019},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.736888Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:461758ad8e629484436ec2bad2e46545fc88c2e8162bb9a946af87990fdd2594","observation_id":"9cf951ca-61fb-4801-bfb9-5be5dd1c6154","resolution":{"observed_at":"2026-08-08T12:10:07.859371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.838263Z","title":"Sampling as optimization in the space of measures: The langevin dynamics as a composite optimization problem","venue":null,"work_id":"1e16dda1-a96d-4314-b194-df20c70a5ea9","year":2018},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.742268Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:dc4e226fd006ca3b3e56e9b5538efbeac6d8a044ec5cfcaf783af87171f57891","observation_id":"7778fa59-66b1-4661-bdb9-7b26f2dfb7bc","resolution":{"observed_at":"2026-08-08T12:10:07.843825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T12:10:07.816413Z","title":"High-dimensional differential parameter inference in exponential family using time score matching","venue":null,"work_id":"f7ec28f4-e430-42a5-b517-65b525d7e420","year":2025},"citing_paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T12:10:07.747846Z"},"links":{"citing_paper":"/paper/2502.07650"},"observation_digest":"sha256:14214943cb673fab257f58adcda585262e694c74160d325016609a889ffaf010","observation_id":"f0911292-7b7b-4d46-8537-d0aad79813f4","resolution":{"observed_at":"2026-08-08T12:10:07.824714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.07650","last_updated":"2025-06-13T16:17:34Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-09T13:34:42.529880Z","submitted_at":"2025-02-11T15:39:47Z","title":"Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":40},"total_outbound_references":54},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2502.07650."}