{"as_of":"2026-08-15T18:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36e37d0220bc8aa396d20578422b293c9f8c3a5bc2655802ce1d1b00e109484b","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:31:27.328502Z","state":"measured"},{"denominator":75,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":75,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1908.02995/citation-record","integrity":"/paper/1908.02995/integrity","json":"/paper/1908.02995/citation-record.json","paper":"/paper/1908.02995"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:31:28.197921Z","title":"Alain and Y","venue":null,"work_id":"a07e1c41-dc3c-4459-9f25-5f15dbe83bd0","year":2014},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.067063Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:4af6e8804642a80baee75ee892103098e0786c664822a93cfd9900a3270ed894","observation_id":"677e7a12-2e7f-4e8b-9bb8-5db77859407b","resolution":{"observed_at":"2026-08-14T14:31:28.201454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.187061Z","title":"Batson and L","venue":null,"work_id":"ecf4abbd-c994-4138-9c04-5ff328036fd9","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.071547Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:0ccd4db30a5b32ee60158ad0b729edee0df911a66f909b3bb8e96c87c4d3a2bf","observation_id":"afe34d17-ff7a-475e-a1be-f4cd31c05ef3","resolution":{"observed_at":"2026-08-14T14:31:28.190794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.175755Z","title":null,"venue":null,"work_id":"438c3f0a-7314-4089-b2d0-aa7b15c94686","year":1995},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.076174Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:cd040168384d64f4c3b47d0f4ff3b399c03f4199510f022ec4d70b4652b1fc29","observation_id":"39d6adcf-3819-437a-a8f1-bbfe35794cb0","resolution":{"observed_at":"2026-08-14T14:31:28.179592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.163947Z","title":"Buades, B","venue":null,"work_id":"d49d4be1-0f64-48de-9227-9241e2243ff5","year":null},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.080218Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:b9b0b8c31899d6cc3e3ebb9ceec1f4f101add384860f8470cd6bed8a97e5ed3e","observation_id":"9393a0e5-a09e-443a-ac66-bb0271c3224d","resolution":{"observed_at":"2026-08-14T14:31:28.167892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10488","last_updated":"2021-07-04T09:16:19Z","snapshot_observed_at":"2026-08-15T14:57:39.540341Z","submitted_at":"2019-05-25T00:16:09Z","title":"GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.10488","snapshot_observed_at":"2026-08-14T14:31:27.083888Z","title":null,"venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.083888Z"},"links":{"cited_paper":"/paper/1905.10488","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:ef56dc3c4ea55a6810c99290647f1b6a5defe26ceebfe164ce0fe5b80a461454","observation_id":"8464bb71-c60e-40ec-b96c-e36702337518","resolution":{"observed_at":"2026-08-14T14:31:27.083888Z","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":"2026-08-14T14:31:28.149991Z","title":"Cichocki, R","venue":null,"work_id":"d931563f-74ed-4cfa-9e8f-ba0c4ea11e5b","year":null},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.088141Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:9103604d2a0e4a23c236e04aec11a4203e5afd4d363813eba2d6fb437005b289","observation_id":"c9858b2c-1866-4789-ad96-fb3540cd7a64","resolution":{"observed_at":"2026-08-14T14:31:28.153946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.137807Z","title":"Creswell and A","venue":null,"work_id":"b663c853-d29e-4f07-8dfd-56622b5b9881","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.092836Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:8328496525c4f44d890b98054f793d6f308688aa7d6f5566a7d83f26ad0efe27","observation_id":"1bcb9ac2-6b6c-4282-ba62-d010333ecc37","resolution":{"observed_at":"2026-08-14T14:31:28.141202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.126685Z","title":"Dabov, A","venue":null,"work_id":"e6e7e5ee-6fa3-4939-92e7-81ef4dd5b4e1","year":2007},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.096157Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:5fc6fc0b463a3fec850ba1f018a94b169a2962d03eb2f7ea862107311a790a7d","observation_id":"dc2e6119-1514-40b6-846b-a1f9ed84cdda","resolution":{"observed_at":"2026-08-14T14:31:28.130052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.114416Z","title":"Dabov, A","venue":null,"work_id":"80f7eeb8-4d4b-41e0-a3f0-8724ed137b85","year":2007},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.099775Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:bdecd36073907dfe9b6965f48242bc4a857b3abbf909ef9d74ea25ee7ff6b933","observation_id":"c0d04b73-3afb-4010-ae4c-a6d0c2de6178","resolution":{"observed_at":"2026-08-14T14:31:28.118088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.101650Z","title":null,"venue":null,"work_id":"16dd56c1-7f50-476e-8cad-978c9753bbc2","year":2014},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.103166Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:1e0fc9de10733fc37d7ce5da9f8b63a23a0f7f3234db0a491778cca75644e2d3","observation_id":"d4dd176f-6cef-4685-9450-c1433db4c702","resolution":{"observed_at":"2026-08-14T14:31:28.105893Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.091308Z","title":null,"venue":null,"work_id":"499870f4-5bc1-4e0e-bbc6-b9de4aa88670","year":2007},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.106327Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:3c899a5206e6359464643d5311e8aaf92fe1f9cdfb174f3fd49295fa2720d155","observation_id":"e77df8b9-c32a-47c3-94fe-6711e356acfe","resolution":{"observed_at":"2026-08-14T14:31:28.094739Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.080344Z","title":"Elad and M","venue":null,"work_id":"c4e6870d-6961-4d59-9f6b-11db1c5b77bd","year":null},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.109878Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:8fd10af365d20a0212d140f7feba5923df73a756c636b1da36869bc5f16c8a84","observation_id":"1c2b9cd2-6309-436b-8ec7-f151cf47f55e","resolution":{"observed_at":"2026-08-14T14:31:28.083702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.068702Z","title":"Elad and M","venue":null,"work_id":"12db575a-f1ae-4907-9b6d-3bbd70633b2f","year":2006},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.113421Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:af5df33a7ad719fd279e7a353bb34cf30043924dee94042c00ebf27bde78e62d","observation_id":"56966056-c467-4a95-bbc7-b1d7bed5e745","resolution":{"observed_at":"2026-08-14T14:31:28.072460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.053281Z","title":"Gal and Z","venue":null,"work_id":"fba6bbab-76da-4736-8281-2265afa62da2","year":2016},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.116548Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:0a5ba4c6fb39fb441ce2cd81b398263aeefc8015f5605973b88ab4b382752d83","observation_id":"7e222392-0d0c-4512-8306-e9c53b566259","resolution":{"observed_at":"2026-08-14T14:31:28.058673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.027144Z","title":"Gandelsman, A","venue":null,"work_id":"0d6cccf1-fa00-47f7-b78c-2f427ba03b03","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.119795Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:b1744366eb304a3c16129fc869c95048a0406cc34646011f34d65ebc4ea9c4b0","observation_id":"bf8d5c7a-5be3-4ed8-8ffd-fc65eed4c04c","resolution":{"observed_at":"2026-08-14T14:31:28.035220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:28.013373Z","title":null,"venue":null,"work_id":"c8f70883-746f-4640-9187-263fbf2d768a","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.122884Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:2ef003a5e11bd33d04d766f8406a35f7cbad35a8ca1b43a061070fcc60200d7f","observation_id":"67dfdcbf-dff7-4cb9-8eef-20806d15fd30","resolution":{"observed_at":"2026-08-14T14:31:28.017528Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.999642Z","title":"Goodfellow, Y","venue":null,"work_id":"cb08d10b-ec51-460f-a63d-cffaf011d58d","year":null},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.125970Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:3a4f6600233f042ca7433c7f61100780119ee69a4052a860d66b37b0b86450a0","observation_id":"3f70556b-8afb-4a5f-ace4-98985433dcaf","resolution":{"observed_at":"2026-08-14T14:31:28.003445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.989477Z","title":null,"venue":null,"work_id":"bc5c319c-f1f6-40f2-b68d-127027d01c6c","year":1981},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.129328Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:a6ba18a06ef616ae6c603d9b0a611cabccaefd1ba542a984428f98dec3327e83","observation_id":"3ff8f60f-0eaf-487d-91e1-e0a476ecc095","resolution":{"observed_at":"2026-08-14T14:31:27.992628Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.978451Z","title":null,"venue":null,"work_id":"be62f103-86a8-4fd4-9737-bc5f9daca19c","year":2014},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.132472Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:c07c013d50a40ee8a3f09cbd5d677832b94de3123cd50ee8a210003f91f0e65a","observation_id":"e4e97df3-a4fc-4cbc-9226-a5b550a551dc","resolution":{"observed_at":"2026-08-14T14:31:27.982634Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.966993Z","title":"Guichard and F","venue":null,"work_id":"17c408d6-7678-4b13-ac09-a25ff9f4d6f6","year":1998},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.135743Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:7ff9134d18e9790d719666518a27f34fdea0e9144f8379f1716a598a984235e3","observation_id":"a699f2fa-1666-4876-a460-4313b03d316f","resolution":{"observed_at":"2026-08-14T14:31:27.970756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03982","last_updated":"2019-02-22T22:13:19Z","snapshot_observed_at":"2026-08-14T18:20:20.224521Z","submitted_at":"2018-10-02T20:07:07Z","title":"Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03982","snapshot_observed_at":"2026-08-14T14:31:27.138681Z","title":"Heckel and P","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.138681Z"},"links":{"cited_paper":"/paper/1810.03982","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:4ea73376e25d4a373c53d6787a2af9daddc31ddffe16cedbeb996af3f50d107e","observation_id":"70a47e6b-48af-42b7-806c-9caedbcb2708","resolution":{"observed_at":"2026-08-14T14:31:27.138681Z","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":"2026-08-14T14:31:27.955499Z","title":null,"venue":null,"work_id":"4e69697f-ffbb-4b28-a3f7-640cdf0e851b","year":2006},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.142360Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:59c9acf34bdc1c76b9abfa6b24034532ea0cb7216243f2e56d43a43fd2a03239","observation_id":"1ef804aa-0d12-43a8-abce-5eabdd9e918d","resolution":{"observed_at":"2026-08-14T14:31:27.959197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.943162Z","title":null,"venue":null,"work_id":"49b41ca1-341a-4a10-8eb8-dc9fae7b9dab","year":1927},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.145617Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:e57eee5c09a791f287e07eea0dc3943d579aa1fad7855d59e961efe3ec29423a","observation_id":"65e86aa1-a132-49c6-b2ba-79815161de24","resolution":{"observed_at":"2026-08-14T14:31:27.947048Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.932799Z","title":"Hotelling","venue":null,"work_id":"5294c41d-6afc-44f2-90f5-47f0890cc72d","year":1933},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.148695Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:b097f8803db060d4c29e87bddbc70f63b61181e689a506a4b23036a8c3a588f7","observation_id":"d87e6b79-1ae4-4411-a4ef-2134591d6046","resolution":{"observed_at":"2026-08-14T14:31:27.935920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.922756Z","title":null,"venue":null,"work_id":"f0e28e74-fcd9-411b-a126-a287aa807d6a","year":2016},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.152037Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:5d779883aeb9e3eafb0dc740ef4c6fd7965074b07052dd2563592bf69214296b","observation_id":"626ea313-6d05-4564-a5de-17b647e81d49","resolution":{"observed_at":"2026-08-14T14:31:27.926023Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.912054Z","title":"Hyvarinen, J","venue":null,"work_id":"fa31d28c-6cfc-4e59-931d-da1577da1337","year":2004},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.154980Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:363ce2fec305b5644a13960d10213f55909bbaede3dacd696409e83cb0aeaf63","observation_id":"7fe46f84-31a5-4a10-8076-30ab42f45bdc","resolution":{"observed_at":"2026-08-14T14:31:27.915612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.901027Z","title":null,"venue":null,"work_id":"8898961f-60e9-48d6-8d8d-09bc431cdc91","year":2010},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.158087Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:9663bfd26d18c59f1e83d60b6ac4bb6b6ffa64609a5fb370dd6a7a2a2e07289d","observation_id":"2f4bfdb7-06b1-4602-941a-79bac916319b","resolution":{"observed_at":"2026-08-14T14:31:27.904622Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-14T14:31:27.161556Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.161556Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:774af825a53a0851056d73b65535db1e4482a4057be23baf39886fadba8aa4ad","observation_id":"1c3370b6-f79e-40f1-be96-e408821acbf3","resolution":{"observed_at":"2026-08-14T14:31:27.161556Z","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":"2026-08-14T14:31:27.891047Z","title":"Krull, T.-O","venue":null,"work_id":"088e2d77-4208-470f-a785-b367bf358b72","year":null},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.164936Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:fbdd964bb4d8e36547475fb1834295829e941a406c425f07f9fc51611c8c26fa","observation_id":"ffb604d1-ab09-4346-86d5-11decabf466e","resolution":{"observed_at":"2026-08-14T14:31:27.894340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.10277","last_updated":"2019-10-28T12:36:21Z","snapshot_observed_at":"2026-08-14T23:33:50.197177Z","submitted_at":"2019-01-29T13:37:16Z","title":"High-Quality Self-Supervised Deep Image Denoising","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.10277","snapshot_observed_at":"2026-08-14T14:31:27.168113Z","title":"Laine, J","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.168113Z"},"links":{"cited_paper":"/paper/1901.10277","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:a9742e94221da813cf22e8e8a205fb42db60c6b87f0112efa84e5d778670127f","observation_id":"263f3762-ba6a-4bd1-a0fd-25f2d2cd8272","resolution":{"observed_at":"2026-08-14T14:31:27.168113Z","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":"2026-08-14T14:31:27.880387Z","title":null,"venue":null,"work_id":"44d8f13b-8aa5-49fd-a698-56ff61b08037","year":1999},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.171630Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:04f7eef4a796ab23b0241b8d0c9ab6f12f60a6acfca11e56bb2005aa81f16145","observation_id":"cb621ec5-a653-476d-af11-5ee2480b59a9","resolution":{"observed_at":"2026-08-14T14:31:27.883869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.869883Z","title":"Lehtinen, J","venue":null,"work_id":"792c0375-40e3-48aa-a56d-16f6621f98c7","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.174911Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:13d6c1e7d28de8eddc7598bb3ae0d4adb1087bc95023defcee1e80cde943c797","observation_id":"988bc38f-af75-4ff3-b112-04107d49ebc0","resolution":{"observed_at":"2026-08-14T14:31:27.873140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.858880Z","title":null,"venue":null,"work_id":"97706d83-453d-4099-80a7-7a5ac711ed53","year":1994},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.178258Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:54126ca3b6a8e154aab17fe3c24c0c248cb762eb81bd64dc03f0b9ecaef0e119","observation_id":"27bd2906-6b9c-4810-95d6-26503241a617","resolution":{"observed_at":"2026-08-14T14:31:27.862548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.846407Z","title":null,"venue":null,"work_id":"826ca3c1-8910-4afb-8835-d9461fff5ec4","year":1997},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.181441Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:cddb397b4a19ebaf3c2ccebb1236d3e0a41b362c2b21f036ba0f4fcda58d6e3d","observation_id":"c7e1b7b7-e02b-41a2-9084-5b01de78424f","resolution":{"observed_at":"2026-08-14T14:31:27.850302Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.836174Z","title":null,"venue":null,"work_id":"26879452-6b15-490b-ae94-f1ecb5d36b23","year":2013},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.184547Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:87ea02904b0d7c45c771ad706ffa8b67152cc779e08a9b70ba89269a5e6ec3e0","observation_id":"baca069f-1fe4-45b9-9cbf-f6a955d95dc4","resolution":{"observed_at":"2026-08-14T14:31:27.839481Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.825121Z","title":"Majumdar","venue":null,"work_id":"5c656b3f-a5f0-4763-90a2-5ea2e3d24a60","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.188049Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:e8bdf18a9ca7cc9649ee33693f75a1b6d0bda3085b99218bc0831833986fb2ef","observation_id":"78031a5f-bc98-4028-aacb-22adba56e8bb","resolution":{"observed_at":"2026-08-14T14:31:27.829081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.05644","last_updated":"2016-05-25T00:17:45Z","snapshot_observed_at":"2026-08-14T22:22:29.258335Z","submitted_at":"2015-11-18T02:32:39Z","title":"Adversarial Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.05644","snapshot_observed_at":"2026-08-14T14:31:27.191831Z","title":"Makhzani, J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.191831Z"},"links":{"cited_paper":"/paper/1511.05644","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:ad600c9a6876100ed272dad2e376181c320a98be8060b0dcabc6970594276739","observation_id":"684fc319-9158-46c8-816f-0b94661a9279","resolution":{"observed_at":"2026-08-14T14:31:27.191831Z","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":"2026-08-14T14:31:27.814508Z","title":"Markovsky","venue":null,"work_id":"8821ac04-c40b-4f26-a7ff-1f2330b53890","year":2008},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.195815Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:62fc8dc6268db6aed8b602e0cf7cb46b71f67eb3e79566f00e91cf824189cd81","observation_id":"c969e2d7-2f96-45e9-8090-53cd2a1b2eb2","resolution":{"observed_at":"2026-08-14T14:31:27.817720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.803166Z","title":"Osher, Z","venue":null,"work_id":"d3be006c-3dcc-4d58-a5e2-b9c7c64e1e7c","year":2017},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.199131Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:f715831ba2b0eb729261aac0901045f142bc7edd8988ec6fab1cd7820c7aea33","observation_id":"c6182728-5270-4556-83fe-117eef6e3c46","resolution":{"observed_at":"2026-08-14T14:31:27.806944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.792408Z","title":null,"venue":null,"work_id":"9253a157-0694-4673-9c5f-07031008d5b0","year":1980},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.202865Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:5e8782c404d46669f48a19de8f893efb6aef0796de41a9fe69d4da0549171b8a","observation_id":"191c26f8-5440-44ee-943c-b986a533d168","resolution":{"observed_at":"2026-08-14T14:31:27.795671Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.781743Z","title":null,"venue":null,"work_id":"082cd8b8-2d46-4eca-91a2-e03c4c7b7355","year":1901},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.205985Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:7617177a78e46709b7bdef88e31118a5f3f573fba21bd4326c3670180ba59e49","observation_id":"3ff6edfa-37e1-4139-910f-467e0e97bc6d","resolution":{"observed_at":"2026-08-14T14:31:27.784967Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.772109Z","title":null,"venue":null,"work_id":"1659c9e4-52f9-471f-a9f9-e4362f2c01a2","year":2009},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.209251Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:35029e3b2bafd68daa8ccee92a655969b2007fe2e8d51f1b7d76505f8c576968","observation_id":"8f32ea72-f96d-4ab9-9db5-7252a33ffeab","resolution":{"observed_at":"2026-08-14T14:31:27.775235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.762180Z","title":"Poggio, V","venue":null,"work_id":"55e61616-8f66-4ae0-8205-9bb48e6a9544","year":1985},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.212630Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:0d8adb32194341d5ea25dd424a61a98de0eb875b69d7e054316adc2188620aec","observation_id":"918ca49f-2248-4e02-a6e1-cae73485d731","resolution":{"observed_at":"2026-08-14T14:31:27.765559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.04987","last_updated":"2017-10-21T11:58:36Z","snapshot_observed_at":"2026-08-14T20:53:47.536131Z","submitted_at":"2017-06-15T17:47:56Z","title":"Variational Approaches for Auto-Encoding Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.04987","snapshot_observed_at":"2026-08-14T14:31:27.216140Z","title":"Rosca, B","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.216140Z"},"links":{"cited_paper":"/paper/1706.04987","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:5bab2b1bfb60c4125df876e3a89db0cdaacd38d22dbf1369d3e8689e3f3260f1","observation_id":"cf5c049c-6863-4125-8663-e4684e1a9c71","resolution":{"observed_at":"2026-08-14T14:31:27.216140Z","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":"2026-08-14T14:31:27.751612Z","title":null,"venue":null,"work_id":"140336fa-dd2f-4b8a-a8cc-d2513b24d83e","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.219826Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:d42698707fd1c28a8ecbac2910a9c1dd7db08c11c8d084a8aeba0d2adf480089","observation_id":"2625d672-15ed-48b3-9272-55728efa9f64","resolution":{"observed_at":"2026-08-14T14:31:27.755056Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.741406Z","title":"Shi, Y .-M","venue":null,"work_id":"994d380b-eb48-41b0-85fe-7658d9fca0e0","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.223165Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:96e7c83bd0e53113f8edb908af911039bdece04ff0868f9b5bab3adc890e6e5b","observation_id":"7de99ae5-911e-4d75-b4bd-7582f3102778","resolution":{"observed_at":"2026-08-14T14:31:27.744590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.731534Z","title":"Shocher, S","venue":null,"work_id":"d5dd41db-58ab-47d8-b727-6c4938a1208e","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.226483Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:a78377cf24d082fd50aba93af282a7648a89370f84984f3654737d19b900cbed","observation_id":"2ff710ed-bced-44cf-9624-92e49df775aa","resolution":{"observed_at":"2026-08-14T14:31:27.734756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.720978Z","title":"Shocher, N","venue":null,"work_id":"c928603b-cda7-4a24-bee4-1b21c13c799a","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.230070Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:d89fba417cb94704eeac95c86413cd6aee2555dad8091bf21920ce78900fa92a","observation_id":"370f1aad-363f-43f4-8110-9f3aea8dab2d","resolution":{"observed_at":"2026-08-14T14:31:27.725089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.04145","last_updated":"2017-12-12T06:37:28Z","snapshot_observed_at":"2026-08-14T20:04:36.795734Z","submitted_at":"2017-12-12T06:37:28Z","title":"Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks","version":1},"cited_work":{"arxiv_id":"1712.04145","doi":null,"metadata_source":"pith","pith_arxiv_id":"1712.04145","snapshot_observed_at":"2026-08-14T14:31:27.385063Z","title":"Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks","venue":"cs.LG","work_id":"1a803b49-ff0b-4229-815c-61632cf68f2f","year":2017},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.233701Z"},"links":{"cited_paper":"/paper/1712.04145","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:72fe2bc58970b5fde407264107d4c5b6f090a4663a9586fd6119845216e68202","observation_id":"e685dea7-f089-4935-b83f-6d6794704121","resolution":{"observed_at":"2026-08-14T14:31:27.391021Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.709861Z","title":"Szummer and R","venue":null,"work_id":"32ac2c7c-1ca2-43f5-8a7c-a3a3587a64c9","year":1996},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.237506Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:ca567c73128d75f728ac3310d3075e6e3d6746712312da5baf8f08e6656b47d0","observation_id":"59ae5b87-8745-49c8-8fea-6f76abb1fa3f","resolution":{"observed_at":"2026-08-14T14:31:27.713345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.700515Z","title":"Tibshirani","venue":null,"work_id":"3327a17a-2269-4bc9-aeb6-eb1d2e1d6cce","year":1996},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.240881Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:1ab957f3062d30d80009a94744546131e90bba62f2e0a08d3467b2729c9f3dfc","observation_id":"e370dcfc-8768-4604-a85a-a7f85c33856f","resolution":{"observed_at":"2026-08-14T14:31:27.703579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.690928Z","title":null,"venue":null,"work_id":"173e9b10-023b-4653-88b2-846b01c65b9c","year":1966},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.244530Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:ec33bafa09e4be119e09cf9e30c2ae7ed5ca8d722df47d7a764d1e8d5aec41d5","observation_id":"dd966ecb-10eb-4fac-8368-b18bde23f64c","resolution":{"observed_at":"2026-08-14T14:31:27.694099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.681549Z","title":"Ulyanov, A","venue":null,"work_id":"29066f5f-ffeb-4020-b276-eec0e863f176","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.248118Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:4bdea635c95aa1793e374928c090e32d4a20597284012cd3c1911f06b968c82b","observation_id":"9b72f8da-4ce5-4c85-9c6a-9327f8dcbe7f","resolution":{"observed_at":"2026-08-14T14:31:27.684801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.671743Z","title":"Van Overschee and B","venue":null,"work_id":"2b9dba6b-e179-442a-b616-f8980dd39b27","year":1991},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.251140Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:a2e70a0c226e2150b7cfaf97aaef84ccc91af90ed6f90422a56d500831717db5","observation_id":"8b2a733b-63d6-4501-b477-22d7d03fc145","resolution":{"observed_at":"2026-08-14T14:31:27.674907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.06438","last_updated":"2020-10-29T19:55:19Z","snapshot_observed_at":"2026-08-14T19:02:44.314874Z","submitted_at":"2018-06-17T20:11:03Z","title":"Compressed Sensing with Deep Image Prior and Learned Regularization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.06438","snapshot_observed_at":"2026-08-14T14:31:27.254462Z","title":"Van Veen, A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.254462Z"},"links":{"cited_paper":"/paper/1806.06438","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:e7f1698c4ccac58ea0d339979e46a9afc6ea2d15b730145ae0080829fa1534f2","observation_id":"f6efe8c8-8097-4f54-b35b-ba420295dd21","resolution":{"observed_at":"2026-08-14T14:31:27.254462Z","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":"2026-08-14T14:31:27.661117Z","title":"Vincent, H","venue":null,"work_id":"583b9342-dc66-4b69-8c3d-90e30048241f","year":2008},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.257652Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:efeadcb68fab2f0d735d89305fea3c05e4049ef6a4d1748856a2ac4ebf56aae6","observation_id":"13ccbcf9-de33-42e9-bae7-ddc197ff87fb","resolution":{"observed_at":"2026-08-14T14:31:27.664882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.649608Z","title":null,"venue":null,"work_id":"a844f262-0f87-4429-9cfa-48212a29e2a1","year":1998},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.260927Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:1fd43fee1cd5640bad69370859dda3ba4ffdc1eef8d0cc524c4071b1f36741b9","observation_id":"fe119ec5-35a4-4cf0-84d1-0fe55a3d2c52","resolution":{"observed_at":"2026-08-14T14:31:27.653274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.639710Z","title":null,"venue":null,"work_id":"ace5df95-d2a9-45d5-ba5d-969f8508344c","year":2017},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.265049Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:82657aa47213f1fba32aac4674ebe2bb2b252b6da7dd6e9233e5e8e8d5d7dce6","observation_id":"ab017822-3d3d-4cd0-b696-e2b473b45548","resolution":{"observed_at":"2026-08-14T14:31:27.642884Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.629704Z","title":"Williams, T","venue":null,"work_id":"5d56e2a9-e635-440e-8a4f-e1fcd4aa7ef6","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.269021Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:4af0e2e15043665b7764f26e527205b468b3b81846580e7cd43d1311cc3272bf","observation_id":"827d52dc-f98e-4481-8d16-ad023155f117","resolution":{"observed_at":"2026-08-14T14:31:27.632875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.619191Z","title":null,"venue":null,"work_id":"0711a8c0-d463-43c4-8cc3-77caf7688227","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.273367Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:777049f4f3a4e1331ead40e988ab1da4dff2c486bc6e24ab443b2c7ef34fa320","observation_id":"6b3f7afa-4799-4e0f-8ccd-0d6f06356721","resolution":{"observed_at":"2026-08-14T14:31:27.622819Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.06878","last_updated":"2020-05-09T09:04:17Z","snapshot_observed_at":"2026-08-14T16:14:44.304514Z","submitted_at":"2019-06-17T07:39:00Z","title":"Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.06878","snapshot_observed_at":"2026-08-14T14:31:27.277485Z","title":null,"venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.277485Z"},"links":{"cited_paper":"/paper/1906.06878","citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:8db9afbc3e31ddeeee65e99300ee7c390a7826d2f151d1360302cd1016eb42ca","observation_id":"3f5ecd78-e58d-4f8b-a922-958d76cf3786","resolution":{"observed_at":"2026-08-14T14:31:27.277485Z","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":"2026-08-14T14:31:27.609675Z","title":null,"venue":null,"work_id":"7b8440e8-0f5e-4d29-b19a-a967bdbf0cb8","year":2017},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.281053Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:ae75a3b85030fb16e3f9635ed0034648c9c9f723ca9cb389bea701c05129b449","observation_id":"e7f17cc5-71fe-4790-a8fd-bf104aa3e3e8","resolution":{"observed_at":"2026-08-14T14:31:27.613016Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.599950Z","title":null,"venue":null,"work_id":"5b472529-08b9-4b5e-8cc5-99261a4cdde5","year":2015},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.284801Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:8de5256da79b08cf8ef8e12dcc958a9a216493522485b04816d68d32b9fbf108","observation_id":"7ff9f251-ae7b-46d2-a54e-4e9adccf8dc7","resolution":{"observed_at":"2026-08-14T14:31:27.603150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.590100Z","title":null,"venue":null,"work_id":"605842fd-e4b7-46e1-a854-c383900cf941","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.288467Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:3bc4295fa5a3ddee454bb7936e67a1d0c9cb82156abda43e7c54f1812b15e088","observation_id":"1accb4c4-70cb-4dc5-ae9e-aa747f42832c","resolution":{"observed_at":"2026-08-14T14:31:27.593335Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.579773Z","title":"Yair and T","venue":null,"work_id":"4b391fe3-6708-47e8-ac59-6d972b5e80fc","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.291926Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:dc64f5ca659ae9d5e1939606f93729b971edbef7773a7c3b4fe5a11c5c46057c","observation_id":"924f0db9-00bf-4ef2-addc-406460074f36","resolution":{"observed_at":"2026-08-14T14:31:27.583005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.569651Z","title":"Yokota, B","venue":null,"work_id":"4fc459f6-db8b-424e-9b2b-a46735838153","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.295312Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:ace6730d4d9de2fd3c2924d34f764dbda4aed1f05a1f63076b7b868b5bb170b4","observation_id":"0068f5f5-91d6-4d4d-a40c-c505da8226f0","resolution":{"observed_at":"2026-08-14T14:31:27.572836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.558758Z","title":"Yokota and H","venue":null,"work_id":"6afc92b5-5d2d-4917-87ce-6fc95afa318b","year":2017},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.299062Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:d62e13669588b32288c89ee5424ab2578a5d87361cfdbe4f939f250fcdca24ca","observation_id":"f2fca774-a189-417f-91e4-153b3ffc4c39","resolution":{"observed_at":"2026-08-14T14:31:27.562492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.548436Z","title":"Yokota and H","venue":null,"work_id":"55a3c825-00ca-4bdc-a9f5-c4a3dccdac59","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.302593Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:e7f8f31a053f33d6348455cd85591a56036038793ca3e6eac772d242dd709a1f","observation_id":"e0e10886-4b94-4de2-972f-bd4851cc82ab","resolution":{"observed_at":"2026-08-14T14:31:27.551607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.538581Z","title":"Yokota, K","venue":null,"work_id":"5af418f1-1837-4cc2-92aa-487ed3c00998","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.305905Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:34a2a223bd4d596f897489ae507ce07dc94a61aaa0f9af69763d77fcadf65b47","observation_id":"c89425d8-f748-4107-a43d-3eab410add45","resolution":{"observed_at":"2026-08-14T14:31:27.541744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.527554Z","title":"Yokota, Q","venue":null,"work_id":"811cb496-aa29-4b7c-b89f-8457dd768a87","year":2016},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.309708Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:58861dbf7b0f57e020636bff98dd9943cc9b9e24bbf9900c431406373172b16a","observation_id":"a98698d0-79fe-49f4-9c65-53576df85821","resolution":{"observed_at":"2026-08-14T14:31:27.531102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.516388Z","title":"Zhang, D","venue":null,"work_id":"3ff693dd-741c-44a9-9215-4cc4d154ed33","year":2014},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.313250Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:b97442f7fac796d8d991784eabca1fd5e09b501e6c41472f6105eb98ee752777","observation_id":"2d24da7f-e284-4ee3-af04-b005414e725f","resolution":{"observed_at":"2026-08-14T14:31:27.519757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.505064Z","title":"Zhang, W","venue":null,"work_id":"b07d4dd6-7139-44f6-9619-155709987391","year":2019},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.316622Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:b1e96e0bf91d8ac30551f9a00349590fc74fb2489ca977fc82f2bf8c85c6e106","observation_id":"842d0fe0-a9fa-40c8-bb85-149e1404fcf7","resolution":{"observed_at":"2026-08-14T14:31:27.508821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.494183Z","title":null,"venue":null,"work_id":"1b275aa7-af03-4306-bb2c-0bc07e2ec23e","year":2018},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.320002Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:01a75b71da0e1d9e3012d5737ef5a599b570d75c7324db15a79d18fc52e28a62","observation_id":"86113970-1cbf-41a8-8e8a-a02fc3784f5e","resolution":{"observed_at":"2026-08-14T14:31:27.497685Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.483023Z","title":"Zhang, G","venue":null,"work_id":"76d0f277-4e2f-45d7-9798-297dcc6c4754","year":2014},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.324891Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:1e150d1da78eb1fc6b19467bb2c3a526e04dc0fd85afb53ae78fd2ab6b86fc97","observation_id":"3740f877-43ae-4251-a94d-c14d3f649fc6","resolution":{"observed_at":"2026-08-14T14:31:27.486405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:31:27.471722Z","title":null,"venue":null,"work_id":"ab68d3f3-2871-42bb-b459-948ba57169fa","year":2015},"citing_paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-14T14:31:27.328502Z"},"links":{"citing_paper":"/paper/1908.02995"},"observation_digest":"sha256:b9190291466e903b868b1690e077563339a7a7f72682f2bf973150ee941cc12d","observation_id":"54265fe3-6bbe-4c7b-afa5-3218f0bac6f2","resolution":{"observed_at":"2026-08-14T14:31:27.475560Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.02995","last_updated":"2020-01-21T08:14:35Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T10:37:23.222778Z","submitted_at":"2019-08-08T10:05:09Z","title":"Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":1,"verified_fuzzy":39},"total_outbound_references":75},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:1908.02995."}