{"as_of":"2026-08-18T09:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2e6269d233a29af3d06d271e8cd1434e48bb2494d68f2b8f22d2276cc46c2d55","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:31:59.976328Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2412.07935/citation-record","integrity":"/paper/2412.07935/integrity","json":"/paper/2412.07935/citation-record.json","paper":"/paper/2412.07935"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:31:59.831990Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.831990Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:23d4114bd57d74103fb0d6c9b449e40ea4665b1acad53aee35afa7db2f6a96b0","observation_id":"78982f51-97bd-4ce7-9587-e90fa69e083a","resolution":{"observed_at":"2026-08-11T18:31:59.831990Z","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":"2026-08-11T18:31:59.837288Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.837288Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:14812f0d6451753e29b200344c55ef3bbca1d1e5ed672ddf551c6e1164257b6c","observation_id":"037c9471-b010-425c-ae38-34b77b906c85","resolution":{"observed_at":"2026-08-11T18:31:59.837288Z","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":"2026-08-11T18:32:00.360178Z","title":"Convergence of probability measures","venue":null,"work_id":"8e5f9a02-cf43-4057-b95d-61665c5aaabb","year":2013},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.841554Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:e382e4ac68a44a7e5c27bf8dbc2548af8e8983ba8b9667a3b647394331c19434","observation_id":"57b8cfec-cd3d-49e0-8380-22c630733a0d","resolution":{"observed_at":"2026-08-11T18:32:00.364024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:32:00.347258Z","title":"and Georges, A","venue":null,"work_id":"9dfa32e6-7e0f-4874-aeeb-881d1e9a67df","year":1990},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.846117Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:6a0b3e4e3ade1cc9305d8fc7f962ceb775e4dc554782dedd19ead2411e93a148","observation_id":"5ed34d02-9565-4d92-9c05-79e85d5763c2","resolution":{"observed_at":"2026-08-11T18:32:00.351951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.11096","last_updated":"2019-02-25T21:32:06Z","snapshot_observed_at":"2026-07-06T07:04:57.275371Z","submitted_at":"2018-09-28T15:38:49Z","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.11096","snapshot_observed_at":"2026-08-11T18:31:59.849900Z","title":"Large scale gan training for high fidelity natural image synthesis","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.849900Z"},"links":{"cited_paper":"/paper/1809.11096","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:05e450063346f736c9c976d5d6f08ca660d3b05cc3825f86cded5c3e54189e4d","observation_id":"2bf38512-6661-4820-b13b-7dfebb3e6285","resolution":{"observed_at":"2026-08-11T18:31:59.849900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.10650","last_updated":"2021-03-16T18:33:19Z","snapshot_observed_at":"2026-08-17T06:26:53.900350Z","submitted_at":"2020-11-20T21:35:31Z","title":"Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.10650","snapshot_observed_at":"2026-08-11T18:31:59.854357Z","title":"Very deep vaes generalize autoregressive models and can outperform them on images","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.854357Z"},"links":{"cited_paper":"/paper/2011.10650","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:8b4823870babd09ea3540e2bfea2348639b2c3c082942e09a05887a25abe5583","observation_id":"d3e65629-07ea-451c-925a-ab79331428dc","resolution":{"observed_at":"2026-08-11T18:31:59.854357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.10509","last_updated":"2019-04-23T19:29:47Z","snapshot_observed_at":"2026-08-16T10:03:03.268538Z","submitted_at":"2019-04-23T19:29:47Z","title":"Generating Long Sequences with Sparse Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.10509","snapshot_observed_at":"2026-08-11T18:31:59.858619Z","title":"Generating long sequences with sparse transformers","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.858619Z"},"links":{"cited_paper":"/paper/1904.10509","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:ad5dfc3a6116542e6542fa5983794ed9ce81edb7f5333f85034e409c54d1554c","observation_id":"c2c77e70-3ad9-4006-be27-02d1cf39bf96","resolution":{"observed_at":"2026-08-11T18:31:59.858619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"cond-mat/0210312","last_updated":"2002-12-11T21:43:41Z","snapshot_observed_at":"2026-08-09T17:24:38.710036Z","submitted_at":"2002-10-14T23:56:03Z","title":"Dynamics of glassy systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"cond-mat/0210312","snapshot_observed_at":"2026-08-11T18:31:59.863468Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.863468Z"},"links":{"cited_paper":"/paper/cond-mat/0210312","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:3750d62a475388fb5aa7490cbdfdd0c78042717eef7d5cc22da1bbea5fe9c783","observation_id":"adc56b42-b1e8-4234-be8d-d7ae8a39f318","resolution":{"observed_at":"2026-08-11T18:31:59.863468Z","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":"2026-08-11T18:31:59.867521Z","title":"and Nichol, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.867521Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:da24d4bfa064fe7bb4076239e14bdd8dab0983e2630ef7d423925322e91c93b6","observation_id":"827929da-5842-4e38-8744-43dd1109d4b0","resolution":{"observed_at":"2026-08-11T18:31:59.867521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.8516","last_updated":"2015-04-10T12:27:56Z","snapshot_observed_at":"2026-08-12T12:07:47.951486Z","submitted_at":"2014-10-30T19:44:20Z","title":"NICE: Non-linear Independent Components Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.8516","snapshot_observed_at":"2026-08-11T18:31:59.870907Z","title":"Nice: Non-linear independent components estimation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.870907Z"},"links":{"cited_paper":"/paper/1410.8516","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:89d3d3643e4b73e06d4f9d608d027ecce875ad8a93843c5578f78aef69bbb76b","observation_id":"d3602cf9-047a-4eae-bad1-d07209ed777a","resolution":{"observed_at":"2026-08-11T18:31:59.870907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.08803","last_updated":"2017-02-27T23:21:10Z","snapshot_observed_at":"2026-08-10T10:35:06.780085Z","submitted_at":"2016-05-27T21:24:32Z","title":"Density estimation using Real NVP","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.08803","snapshot_observed_at":"2026-08-11T18:31:59.874979Z","title":"Density estimation using real nvp","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.874979Z"},"links":{"cited_paper":"/paper/1605.08803","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:b9e5d04d0e738928029eb536a5174afc0d5ba2fa3cfe302b8c9202dc3707ed03","observation_id":"48a9452a-b229-49f6-b6d3-f154e32211c0","resolution":{"observed_at":"2026-08-11T18:31:59.874979Z","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":"2026-08-11T18:32:00.327162Z","title":null,"venue":null,"work_id":"c41f66be-e5bc-4413-a001-076c44b67ad3","year":2009},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.879138Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:7c4c2ab31cfc3558f89c5ba7eb134d3356e66a6f745339512ac5428f99f65c05","observation_id":"ad4164bc-5028-48fc-b1cf-45193f9d4dd6","resolution":{"observed_at":"2026-08-11T18:32:00.330872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:32:00.316357Z","title":"Anomalous diffusion on percolating clusters","venue":null,"work_id":"cbb75269-d309-4a50-a3cc-1f5b3045d09b","year":1983},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.883213Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:84c2049af61b265128af7e68eacab06aabacbc888230a5ce94beee899270b15c","observation_id":"5568e958-29b4-480e-9ace-9cb9e504740c","resolution":{"observed_at":"2026-08-11T18:32:00.320011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:31:59.886712Z","title":"Generative adversarial networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.886712Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:3e1f04ca3b35734d752bcb76835c744def40abcd2cfb8f8bbc6eeb2a722c58d3","observation_id":"defab4a1-0a57-4629-a39b-68d02678fcb5","resolution":{"observed_at":"2026-08-11T18:31:59.886712Z","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":"2026-08-11T18:32:00.298776Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":"7ffd511a-70bc-43cf-b732-c7c0944a5d2b","year":2017},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.889682Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:697bd1f6ea11b902aa6235eec67a98a944020ea67d073b6fe25a106c1ab8407f","observation_id":"305ef886-bf4b-414b-95d2-1cd8b70a19c0","resolution":{"observed_at":"2026-08-11T18:32:00.302967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:32:00.287585Z","title":"and Barkai, E","venue":null,"work_id":"adb5f51a-53d8-479d-9809-6107e942a987","year":2020},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.893123Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:a1b933802ec097568b881142b05724908b33e448ec7482d50dad66d24dca3f52","observation_id":"b70ff18c-66fb-4ee9-867f-8c04bc12847d","resolution":{"observed_at":"2026-08-11T18:32:00.291590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:31:59.896123Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.896123Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:db59f7e2b36c991f0c0ddb276ae12342787862fd2f8caeccd83dce5c2626fa6a","observation_id":"ad41c3dc-f2ad-402b-b672-dc5bed5e7905","resolution":{"observed_at":"2026-08-11T18:31:59.896123Z","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":"2026-08-11T18:32:00.268594Z","title":"J., Norouzi, M., and Salimans, T","venue":null,"work_id":"3fb6ef90-3312-46e4-b8d7-1114f2e951b6","year":2022},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.900013Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:5fe603a38eed3b52e14e72f3ce784154fdd43e6488d90245e95ba9826d95b52e","observation_id":"270b1187-9c86-4b6d-87c2-7904bdaadddd","resolution":{"observed_at":"2026-08-11T18:32:00.272849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:32:00.257618Z","title":"Consistency of pseudolikelihood estimation of fully visible boltzmann machines","venue":null,"work_id":"6384de27-2f9b-4e9d-be14-16a8fa33ef4e","year":2006},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.904594Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:7d4df6c2b6746d42bfa6dae78f00755732f29822344c7faa6d4b8b67106f94c0","observation_id":"ed36ea66-5279-4a25-b540-b7dc0870ab62","resolution":{"observed_at":"2026-08-11T18:32:00.261776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:31:59.908654Z","title":"and Dayan, P","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.908654Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:c2ae08d93a473b4ad36b15217bfd539ff8d9bc7fd4c0bf223ecec30a82d983dd","observation_id":"e0401536-f1b2-4420-9325-aa3e92968279","resolution":{"observed_at":"2026-08-11T18:31:59.908654Z","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":"2026-08-11T18:31:59.912102Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.912102Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:32fe02ade8b3b3d67b5f1541e3dbedc66159cc6599473105ce05442a57e5356b","observation_id":"fb104150-d4b2-473a-8210-a1cc1e4522e0","resolution":{"observed_at":"2026-08-11T18:31:59.912102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00364","last_updated":"2022-10-11T13:20:30Z","snapshot_observed_at":"2026-07-06T13:16:16.926712Z","submitted_at":"2022-06-01T10:03:24Z","title":"Elucidating the Design Space of Diffusion-Based Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00364","snapshot_observed_at":"2026-08-11T18:31:59.915171Z","title":"Elucidating the design space of diffusion-based generative models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.915171Z"},"links":{"cited_paper":"/paper/2206.00364","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:21ac7c92cad67b484ebd50fe864affe6d9336dd56f66c06f4f2c0498f53f45d2","observation_id":"7482cee2-6b22-43a6-8fe0-c46ed027caa7","resolution":{"observed_at":"2026-08-11T18:31:59.915171Z","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":"2026-08-11T18:31:59.918287Z","title":"Variational diffusion models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.918287Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:9913534b4c75da6eaf9349b14df2ae43644aceafb99ff12e439ab12dd6cba131","observation_id":"146d36b4-14b1-48c5-8ebd-24ca4cf7420d","resolution":{"observed_at":"2026-08-11T18:31:59.918287Z","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":"2026-08-11T18:31:59.921899Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.921899Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:7ec199e62614fd092a852c879f32f90a0169cd7ce121e5587b9d0ca275dd2c49","observation_id":"c0603f63-b8ae-4059-8d51-62370a8a75ef","resolution":{"observed_at":"2026-08-11T18:31:59.921899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-11T18:31:59.925771Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.925771Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:380ee114bfd4cebf717db595be7af0c1f1d62c6898783da095edcb5ced540e9d","observation_id":"03f70016-b5e1-4461-810c-93b14a3b631c","resolution":{"observed_at":"2026-08-11T18:31:59.925771Z","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":"2026-08-11T18:32:00.216568Z","title":null,"venue":null,"work_id":"15187481-e2cb-4a4d-a8b7-6b2de6d84cb5","year":1992},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.929326Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:d5a8acf6d7c92fedf3cc794e68ba6fe41dc4d2ddf2bfa0c2d4000b85eceab19d","observation_id":"8e2f9e64-330b-42f3-9018-53941b172e56","resolution":{"observed_at":"2026-08-11T18:32:00.220202Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:32:00.204955Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":"c525a55c-0f7b-4042-a3e9-6afcb6752292","year":2009},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.932763Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:b2f669240277900b5a1096ae0d6f2241d7411aa0e0db437d85fdf3f4484b60dc","observation_id":"fd8129d6-7b55-4e9a-92c3-c32abd6072dd","resolution":{"observed_at":"2026-08-11T18:32:00.208215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:32:00.194513Z","title":"and ksendal, B","venue":null,"work_id":"8154c0cf-c46c-45d1-abd2-bb7a767a240c","year":2003},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.936197Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:acbcce00613336d7fb4cab61037ae14f0a89e46911e0e061ab94bf9c51904dc6","observation_id":"ee93ac90-a188-428c-aa4f-f3108683fe4a","resolution":{"observed_at":"2026-08-11T18:32:00.197998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.03499","last_updated":"2016-09-19T18:04:35Z","snapshot_observed_at":"2026-08-16T05:39:41.727705Z","submitted_at":"2016-09-12T17:29:40Z","title":"WaveNet: A Generative Model for Raw Audio","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.03499","snapshot_observed_at":"2026-08-11T18:31:59.939362Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.939362Z"},"links":{"cited_paper":"/paper/1609.03499","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:faf1ef80638b2986b59c7a78096472508ca6782e6b99293eaf4e7b6029d09658","observation_id":"45b8afa9-96e9-4123-a765-1c4e54567888","resolution":{"observed_at":"2026-08-11T18:31:59.939362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.05517","last_updated":"2017-01-19T17:29:06Z","snapshot_observed_at":"2026-08-15T06:38:10.590597Z","submitted_at":"2017-01-19T17:29:06Z","title":"PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.05517","snapshot_observed_at":"2026-08-11T18:31:59.942859Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.942859Z"},"links":{"cited_paper":"/paper/1701.05517","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:2df194b1dae5d6b9c8568face28d295858d92150d81b41e22ca62b4d4028bc74","observation_id":"d6e379c0-26f0-46b4-b7cf-5974a3a62458","resolution":{"observed_at":"2026-08-11T18:31:59.942859Z","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":"2026-08-11T18:31:59.946435Z","title":"and Solin, A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.946435Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:b2a68ac0b056bf0f811dec788ee84bce38241f9413567740c67a6578ae54bd0e","observation_id":"f86ff5e0-eb26-4730-bd2a-45452dedce1c","resolution":{"observed_at":"2026-08-11T18:31:59.946435Z","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":"2026-08-11T18:31:59.949638Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.949638Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:862c5f1651a5854ef1aac9fc9beb63294eb4be9c6cc0a197921998c7da54db47","observation_id":"6cd0720e-feca-4121-b681-f1d824d17cdc","resolution":{"observed_at":"2026-08-11T18:31:59.949638Z","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":"2026-08-11T18:31:59.952919Z","title":"and Ermon, S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.952919Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:ddbd06768e1cc542ab5ff93bb011f6ad7796ec77304f937cee16a2f770866954","observation_id":"7978fde1-8d40-4f5b-ba49-3b4f4dd14882","resolution":{"observed_at":"2026-08-11T18:31:59.952919Z","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":"2026-08-11T18:32:00.162870Z","title":"Sliced score matching: A scalable approach to density and score estimation","venue":null,"work_id":"a23192cf-2180-42ac-a946-74e790d43b7b","year":2020},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.956242Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:634113525a53297d4aa77bea2df34c1e7840d72403fc9f4cbda2e0eb071abd6c","observation_id":"aa58910f-4a46-488f-bd69-7cd2bf3e0e7e","resolution":{"observed_at":"2026-08-11T18:32:00.166842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-11T18:31:59.960296Z","title":"P., Kumar, A., Ermon, S., and Poole, B","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.960296Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:b8291ab171975224692970aa4e525cc15f2991edae5276d575a83424660fe5e8","observation_id":"ae4f5d3b-1f9f-4316-90f8-4823c277fdb4","resolution":{"observed_at":"2026-08-11T18:31:59.960296Z","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":"2026-08-11T18:32:00.150977Z","title":null,"venue":null,"work_id":"e0fefe26-d4ce-4d0e-b4d6-2051b846a501","year":2013},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.965439Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:75f2f3d413379779d047ea1349d4370a01b56ecb85f4bb346565066471c2aec0","observation_id":"51681fc5-b657-4706-a356-3e1eb1a16ef8","resolution":{"observed_at":"2026-08-11T18:32:00.155212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T18:31:59.968925Z","title":"and Kautz, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.968925Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:4e5ff0ac55d977166ce810dfc9ab640bb224542b47c885cac7a48034dc74a59d","observation_id":"530eb916-0d8f-4d7e-92bc-e600b8cfc80b","resolution":{"observed_at":"2026-08-11T18:31:59.968925Z","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":"2026-08-11T18:31:59.972860Z","title":"Pixel recurrent neural networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.972860Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:b30253402c49cf7ea4d13d5ed706ad70d425820806a6800a9cfb009183493776","observation_id":"70d7920b-020b-442e-a75d-48c9430a64b8","resolution":{"observed_at":"2026-08-11T18:31:59.972860Z","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":"2026-08-11T18:32:00.123849Z","title":"and Romanovsky, M","venue":null,"work_id":"a2db1517-19f2-4dba-b868-70ee9a4de465","year":2009},"citing_paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T18:31:59.976328Z"},"links":{"citing_paper":"/paper/2412.07935"},"observation_digest":"sha256:87e39f12fb83aa4715f64d7d031d777252630f9b8f66319c8be9e28ed0357e51","observation_id":"be01d8f7-bfbf-422c-847d-62d06cd3db41","resolution":{"observed_at":"2026-08-11T18:32:00.128302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.07935","last_updated":"2024-12-10T21:31:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T12:31:20.601961Z","submitted_at":"2024-12-10T21:31:12Z","title":"Non-Normal Diffusion Models"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":39},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.07935."}