{"as_of":"2026-08-19T18:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1a06f02922129cebee2404ca8ce470f49f24128a00d07c826544b6081ed36e53","coverage":[{"denominator":88,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":88,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:09:50.130422Z","state":"measured"},{"denominator":88,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":88,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2507.19759/citation-record","integrity":"/paper/2507.19759/integrity","json":"/paper/2507.19759/citation-record.json","paper":"/paper/2507.19759"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/amt-9-3131-2016","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", J \\\"a rvinen, E","venue":"Atmospheric measurement techniques","work_id":"03ae3fe8-d97f-4b0e-a7f2-d5ed10e3cfe3","year":2016},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:41.382373Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:d65b8cf8e9412739c456e53b371f4ce84a43eec556981705ce1c6e9a5c7ddbed","observation_id":"ecf1dc24-ce00-452b-b5bf-03fdd23c3bbf","resolution":{"observed_at":"2026-08-06T14:09:52.516788Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acs.jpcc.0c08939","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Bals, S","venue":"The Journal of Physical Chemistry C","work_id":"7de9d5ee-c965-4375-8de0-608f3a6f48ae","year":2020},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:41.493690Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:9e7f2ff741dc30578bdfefc10b9f42f703cb83dc661656b7730affcc82fa1ca7","observation_id":"2d04e2a4-e8e7-4226-ae65-5a8b624119a2","resolution":{"observed_at":"2026-08-06T14:09:52.505483Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:41.547426Z","title":", Matrosov, S Y","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:41.547426Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:d665ec5367c1eae63d449f14492b6102db0f0acfa6f77797efc6aeff95c4c9d8","observation_id":"99d19bd0-76e5-479d-bb38-38cdfa3dd37e","resolution":{"observed_at":"2026-08-06T14:09:41.547426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:41.676646Z","title":", thebluedirt , Boyd, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:41.676646Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:5b7576f2091e8d25c07dd0024c9b1c3344be6632c5a36b9fe91278369847883e","observation_id":"5f074acf-bd32-4012-ac79-fba11805db6b","resolution":{"observed_at":"2026-08-06T14:09:41.676646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:41.786129Z","title":"\\ Hallett, J","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:41.786129Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:918526978ec8c84add17bf961506ee3677a11ad6eda84bde89540befbbb3c345","observation_id":"6445a3be-a7b1-449b-be88-bd63bfd33b91","resolution":{"observed_at":"2026-08-06T14:09:41.786129Z","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":"10.1175/jam2398.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Lawson, R P","venue":"Journal of Applied Meteorology and Climatology","work_id":"27241ad4-b0dc-4805-9f6c-d5605c59aa4f","year":2006},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:41.860468Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:24dfbef6236f2cdfcf086901739f5df668a8e5ac98dcfba4dfb816821e781b88","observation_id":"5b9b8bb7-288f-4f7d-af02-0d1554991753","resolution":{"observed_at":"2026-08-06T14:09:52.479237Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:41.930283Z","title":"APACrefauthors \\ 1974 10","venue":null,"work_id":null,"year":1974},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:41.930283Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:3d8ba9e74f32924ad19c656c7b9c3c3e9c19798923d55f915fa5d1d27d120257","observation_id":"e49a1e3f-007d-4f3a-be86-9670c746df55","resolution":{"observed_at":"2026-08-06T14:09:41.930283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:42.037497Z","title":"APACrefauthors \\ 2001 10","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.037497Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:cfefe6438d651328b67d3f54ec7698349837597807df7b1922c96f86c5519eef","observation_id":"529c5e51-25fd-419d-96c1-d1930b855a24","resolution":{"observed_at":"2026-08-06T14:09:42.037497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:42.135829Z","title":"\\ Francis, P N","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.135829Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:6d06fb8f8e5c0c8f769980e62dc9563bcc3019d0b1b0e329fce421265ec389b2","observation_id":"d747c6e4-c20c-476c-856e-220bc1586b45","resolution":{"observed_at":"2026-08-06T14:09:42.135829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.10660","last_updated":"2020-12-19T11:16:57Z","snapshot_observed_at":"2026-08-16T18:57:19.818106Z","submitted_at":"2020-12-19T11:16:57Z","title":"The importance of silhouette optimization in 3D shape reconstruction system from multiple object scenes","version":1},"cited_work":{"arxiv_id":"2012.10660","doi":"10.48550/arxiv.2012.10660","metadata_source":"pith","pith_arxiv_id":"2012.10660","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"The importance of silhouette optimization in 3D shape reconstruction system from multiple object scenes","venue":"cs.CV","work_id":"fd4a17fc-10a3-4e76-8c1d-7147bac14641","year":2020},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.253550Z"},"links":{"cited_paper":"/paper/2012.10660","citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:6d201499d7a3d06a8860c842465b37ae3385b19a428eacc671884e6f4274f070","observation_id":"8e0a66b0-c520-474c-9f3a-b290b0ebf5d5","resolution":{"observed_at":"2026-08-06T14:09:52.453466Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2009.53062","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:52.892448Z","title":"APACrefauthors \\ 2009 09","venue":null,"work_id":"a45794fc-6996-4762-b872-d4c74052743b","year":2009},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.332226Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:631b760ee98a491b0f49fd051babc64eba663d925a6d720ad702ed9b641ae5c3","observation_id":"f5f9f468-29d5-414f-ba21-c5acae9cc96a","resolution":{"observed_at":"2026-08-06T14:09:52.898591Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2024gl108493","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Morrison, H","venue":"Geophysical Research Letters","work_id":"7f85e8b4-1511-453c-850f-dbbad62d71a1","year":2024},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.475860Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:8e6302540933fc8016fa081394159f13824bed0d355eacd9bed0d08002a65b88","observation_id":"ba32b55c-909a-440e-8176-d8c9ff926edc","resolution":{"observed_at":"2026-08-06T14:09:52.436772Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:42.596719Z","title":"\\ Titterington, D M","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.596719Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:02760f1afa34c77d5945bd8c4d70bb5c1373f901b8b2817322629d054aed1bc0","observation_id":"6da9e90b-14e0-47d8-8470-0f1534eda898","resolution":{"observed_at":"2026-08-06T14:09:42.596719Z","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":"10.1002/qj.20","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Field, P R","venue":"Quarterly Journal of the Royal Meteorological Society","work_id":"b14b6e06-26b7-4afe-867c-a6d32c35190a","year":2013},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.720828Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:89520e74e9f5cd65e95833a5ccf51fb85bfc06609ac3418e4a8d24745c68eb39","observation_id":"8f6916f5-818f-46df-94ec-13c2b65bcc11","resolution":{"observed_at":"2026-08-06T14:09:52.425739Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/bams-d-23-0060.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Anthes, R A","venue":"Bulletin of the American Meteorological Society","work_id":"2357f0db-f4c7-4bb6-9af2-b0ef0095cb2f","year":2024},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.829944Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:c587c2e0ffff670a7466871a83d31f04b3f94f586307e50a676ca005239ded0e","observation_id":"eb3767c7-4419-4195-938a-f1b22925f88b","resolution":{"observed_at":"2026-08-06T14:09:52.410650Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2024jd041305","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Clothiaux, E E","venue":"Journal of Geophysical Research Atmospheres","work_id":"54c15f43-5551-42d5-bb6b-743cabd15f89","year":2025},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:42.925705Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:e829fc4cae35378c7a636f245816016821b5c928d3ea42f6fc281dbb089db64d","observation_id":"9ee89c37-7a77-45f9-ac4c-eb630ec8d41f","resolution":{"observed_at":"2026-08-06T14:09:52.400327Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/acp-16-4379-2016","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Mitchell, D L","venue":"Atmospheric chemistry and physics","work_id":"5b842701-82da-40a2-a0a7-854cb7de84df","year":2016},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.051665Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:28b76c8be3cfd6a8ba777d17414cd37885617b8818d01439ec5bb0d6b152410b","observation_id":"7495d501-15d0-4980-ba8d-b617f2cfa987","resolution":{"observed_at":"2026-08-06T14:09:52.388246Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/rg.2017160130","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Korfiatis, P","venue":"Radiographics","work_id":"35471f4b-c787-4d57-8c7d-9f51a117e303","year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.180673Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:ea55920b80c3f80a3a4266022bbca20007709f4e23525868bc55837786b7fa4e","observation_id":"52c7e6d2-7ee7-4968-98be-8bf9d770ea1c","resolution":{"observed_at":"2026-08-06T14:09:52.377665Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:43.301603Z","title":", Atlas, R","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.301603Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:2ebfc757b4db265d440abe6b58abc0daaec897747795f013733f6b8f853afd2b","observation_id":"852aa5dc-4248-4f23-8163-1031fc73a2e0","resolution":{"observed_at":"2026-08-06T14:09:43.301603Z","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":"10.5194/amt-5-2625-2012","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Fallgatter, C","venue":"Atmospheric measurement techniques","work_id":"a6195e8b-9a3d-4a7e-8ef4-23e295781aee","year":2012},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.439490Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:4c30335cbb0135cd7600fcd5e2307a11dd2447c8679302b08b1799a84fe806c0","observation_id":"50b7d95d-7dd1-4c22-9d3f-6522950f7971","resolution":{"observed_at":"2026-08-06T14:09:52.366586Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jacr.2017.12.028","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"APACrefauthors \\ 2018 03","venue":"Journal of the American College of Radiology","work_id":"fd491d97-ac6f-4346-9cec-a657917aea2c","year":2018},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.548042Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:1157c12da1bdf66c3c8059fc574ad790b6a09c3f16dcf1e4496ab90c2a890b23","observation_id":"f9f736ab-afb7-49ba-9c3f-d4113b17d941","resolution":{"observed_at":"2026-08-06T14:09:52.354107Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:43.656952Z","title":", Oyallon, E","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.656952Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:bf30ae757d0751bffcd096194b04fe1cf33546101656ba68ffb8cf1056e99649","observation_id":"e9f4a0ed-7092-480d-ba22-3d416070468e","resolution":{"observed_at":"2026-08-06T14:09:43.656952Z","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":"10.1016/j.neucom.2015.09.116","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Liu, Y","venue":"Neurocomputing","work_id":"57f93524-9284-4fb1-8ce5-795b1a6305a3","year":2016},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.781737Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:2dd2f0de0c1a711997a70e13c30e3eb8e6adc294499d895c66b87bdf5a4fefdd","observation_id":"2a26312d-93ea-4f65-8d0c-12293b4f03c2","resolution":{"observed_at":"2026-08-06T14:09:52.344059Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.powtec.2021.01.069","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Flin, F","venue":"Powder Technology","work_id":"1cb8e51d-6a91-4ef9-8951-459915a5cb1d","year":2021},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:43.912821Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:75caba8f23f120f109cd6306579ba487f298e29b60ac9625caf74e65ca891167","observation_id":"9e2267ed-5c5b-431a-9003-4786e1d7c1cd","resolution":{"observed_at":"2026-08-06T14:09:52.332702Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.29548","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:52.824465Z","title":", Laga, H","venue":null,"work_id":"99a8fb2c-a0f9-4f30-afae-22e63d4294f8","year":2021},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.036663Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:6161144789ff0ced6c43c4e92157f571ebb41a8a1927b8c4e26298d422815361","observation_id":"28ec4827-759d-43ed-9c16-fa5c43c8e4c6","resolution":{"observed_at":"2026-08-06T14:09:52.829689Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.patcog.2012.02.029","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"APACrefauthors \\ 2012 09","venue":"Pattern Recognition","work_id":"848e9625-8c2d-4847-9562-e11a0bd0757f","year":2012},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.175471Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:025998e4be9ac0feaae4fd1d3880df72e72500e34542a40f34a281aa5d5d482f","observation_id":"3d5da41d-cba3-4b77-997d-cfbb3a00614a","resolution":{"observed_at":"2026-08-06T14:09:52.321917Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2172/1974397","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Magee, N","venue":null,"work_id":"7975af17-2e1d-487b-854a-fe0c2eb56b4b","year":2023},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.284643Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:ae58d199d899b8b276febb64cc8644fd38d4c9f6ac138f542dbee8a3cb2b47e6","observation_id":"16f7df89-11ad-474a-9968-343e5fe29b9c","resolution":{"observed_at":"2026-08-06T14:09:52.311655Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-06T14:09:44.397195Z","title":", Zhang, X","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.397195Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:998b8f5b4075afedb4827a4c6c2e0218a6e258effde23748804d57acb0cce5ff","observation_id":"a3584423-a2b6-460a-bfaf-feb09628a675","resolution":{"observed_at":"2026-08-06T14:09:44.397195Z","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":"10.1175/bams-d-16-0182.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", McMurdie, L A","venue":"Bulletin of the American Meteorological Society","work_id":"2a4b83f5-ca35-440c-a084-7b019722a926","year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.497677Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:8acd47ad2de3708a8f0ac6aef4131d51e29fa2a26198f38f670f772305d645e4","observation_id":"0e068633-4bda-4ef5-9028-493f94746659","resolution":{"observed_at":"2026-08-06T14:09:52.289449Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jqsrt.2018.01.021","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Adachi, S","venue":"Journal of Quantitative Spectroscopy and Radiative Transfer","work_id":"2469209d-2f59-4e41-821e-6966cd70be58","year":2018},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.608518Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:27821e5229db481a569da7af1318eebd3bd1715edf0ab330b2bbfe22d0cb5e0b","observation_id":"627dd606-da0e-4c66-9e0d-0f24e0f16c37","resolution":{"observed_at":"2026-08-06T14:09:52.278966Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2012","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:52.264544Z","title":", McFarquhar, G M","venue":null,"work_id":"888dc548-d9b3-4a19-97a1-90eb317839af","year":2012},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.720192Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:8e5f4980a22bf4fef38c8a860ebf4fdb3732c04d05a0129aeb0a7fdeb3bf101a","observation_id":"317fe30b-4467-4cc6-b98c-32d72e0e8f18","resolution":{"observed_at":"2026-08-06T14:09:52.268367Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/acp-18-15767-2018","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Jourdan, O","venue":"Atmospheric chemistry and physics","work_id":"8528e7a7-a15d-40dd-bc3b-e3f7f76107ed","year":2018},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.858195Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:96ff392ef178fe8f315b947ce42eb819f6baa849557d25045b84054ae515c474","observation_id":"ed285986-ffd1-4037-a651-349289ae0a6f","resolution":{"observed_at":"2026-08-06T14:09:52.257132Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jas-d-17-0400.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Harrington, J Y","venue":"Journal of the Atmospheric Sciences","work_id":"66141cd0-ac1b-4c77-aa74-de57e2fb8ee2","year":2018},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:44.960606Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:727d370d28569ccea7f14a78295a981f20b0ba0a4632ef673c165ea6d6b68415","observation_id":"c64484ed-df2f-4036-8579-1dfe9c24d3cd","resolution":{"observed_at":"2026-08-06T14:09:52.246260Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/bams-d-14-00263","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:52.232655Z","title":", Pfister, L","venue":null,"work_id":"d70b1c3b-3d34-4425-80e9-b968ce12f446","year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.058758Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:4085e41b280e1f65d059465b12cb0da6757328d76879fd75286f1f9dadb7fb28","observation_id":"fd398baf-f44c-4268-861e-bab5c14048c8","resolution":{"observed_at":"2026-08-06T14:09:52.235754Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jamc-d-16-0248.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Oue, M","venue":"Journal of Applied Meteorology and Climatology","work_id":"f0e7ca31-b323-4e5d-b670-eb76cb57a10f","year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.145941Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:5fdd4253ae3c683b0117852e2416d8702090f66f83528ed5f0a46a7ed82e9f4c","observation_id":"35b1a703-0516-484a-b1f8-88af3f26bd4d","resolution":{"observed_at":"2026-08-06T14:09:52.225885Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jas-d-18-0251.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Verlinde, J","venue":"Journal of the Atmospheric Sciences","work_id":"84f47183-9940-48d6-bd98-83472abcbf2a","year":2019},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.247063Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:35117c2a0a79c68e0fbca6c8bea597f97d85ad9bb755e6a5d6f2b1f56887ee5c","observation_id":"d8ff5e14-f8de-4922-b0e4-e3b0e7edfdd3","resolution":{"observed_at":"2026-08-06T14:09:52.214917Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2151/jmsj1965.50.6_577","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"APACrefauthors \\ 1972","venue":"Journal of the Meteorological Society of Japan Ser II","work_id":"9244fe9d-2a25-4d92-a89a-9686292dfca4","year":1972},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.416943Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:99c4e6356a316c9178f63396b2d0b2d97a8c04209b780bc70d60fbc64e63c814","observation_id":"2ff5edc6-304b-44fb-8eec-7b61c23a98c6","resolution":{"observed_at":"2026-08-06T14:09:52.204019Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:45.582804Z","title":", Huang, G J","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.582804Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:66fcd82d9479b3effeb0e5ec3d91c3acf936eafad34dc9c9ea529ed1cb372159","observation_id":"82aecd36-3e11-4a07-a42c-98abe80b4e93","resolution":{"observed_at":"2026-08-06T14:09:45.582804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:45.675433Z","title":", Singer, C E","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.675433Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:db9ebb5485a91bc871670b8ee0376f127413ccf46f2bb2bfec2bb50de8c13662","observation_id":"57e81675-66c5-4bb1-93d0-7d34ac8a295a","resolution":{"observed_at":"2026-08-06T14:09:45.675433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:45.772616Z","title":"APACrefauthors \\ 1994 02","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.772616Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:7b75755f6699c16fd25dc09a5709e42e3027199830ea6ed29c45c82c7c0bf2d6","observation_id":"11c0a881-522b-4bcd-93c8-3ce27bd1a835","resolution":{"observed_at":"2026-08-06T14:09:45.772616Z","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":"10.1175/jas3803.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Baker, B","venue":"Journal of the Atmospheric Sciences","work_id":"341fb81f-fbe3-4139-9dbc-7cf190d564ba","year":2006},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:45.886847Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:30db71d699f6b8a1dab3e492d96d63d88f570a6f0ebd2426557965ab24943c6c","observation_id":"df31fbb8-7254-4cf6-990b-8909b874ca94","resolution":{"observed_at":"2026-08-06T14:09:52.184995Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2000jd900789","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Baker, B A","venue":"Journal of Geophysical Research Atmospheres","work_id":"ac42a594-e0cf-4d9b-a400-a1ddf5357e7d","year":2001},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.014698Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:cd75f05d26a00b708af1dc04585f47d7d467cc2f8bc87ca65147c965970fb7bc","observation_id":"49e755cb-8710-4a82-8361-ef53cae0707c","resolution":{"observed_at":"2026-08-06T14:09:52.174960Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jtech1927.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", O'Connor, D","venue":"Journal of Atmospheric and Oceanic Technology","work_id":"b35aa9e3-ccd7-4a10-b839-8a04bae669d5","year":2006},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.108641Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:262950ae98d7945c9551e22d08fbd1891166cdc1f29baaab6503ebb7abaa554c","observation_id":"1e9f104e-69c8-4534-b066-0f56072bc514","resolution":{"observed_at":"2026-08-06T14:09:52.164584Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2018jd030122","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Woods, S","venue":"Journal of Geophysical Research Atmospheres","work_id":"29f593a9-6c47-49a1-8ffa-e42f1b27b21e","year":2019},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.194788Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:8ea9968e4979a53ebfff80ea4ad5f9c79f3d581d504dec6365fb65f70c267f41","observation_id":"b35da87b-53e6-426e-a8c6-fa8cd8244ab2","resolution":{"observed_at":"2026-08-06T14:09:52.154042Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jas-d-14-0274.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Woods, S","venue":"Journal of the Atmospheric Sciences","work_id":"450d94ac-c5ef-423a-9e80-766567efa8cc","year":2015},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.307230Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:b2db3efb9c423d9bbcbec0d44c70cc7ea309869c224491a5777e4dcfc8146a14","observation_id":"a8831537-5177-49f1-bba0-294580d85515","resolution":{"observed_at":"2026-08-06T14:09:52.143783Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:46.435584Z","title":", Bengio, Y","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.435584Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:b28f0c2e87ab6a3b9bd1cc0154c5ca7084a2457c2f57e8e9486ad0abe845c86b","observation_id":"8e3aa71e-f9e9-4e4b-abd5-f480dae5c554","resolution":{"observed_at":"2026-08-06T14:09:46.435584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:46.538339Z","title":", Bottou, L","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.538339Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:25e09492abd194b0238e9a41280f9fdfbd88cd285c275bd1e4049ff504a36275","observation_id":"06ed422f-6c44-4708-a169-d891e88e0581","resolution":{"observed_at":"2026-08-06T14:09:46.538339Z","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":"10.1175/jtech-d-15-0151.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Fontaine, E","venue":"Journal of Atmospheric and Oceanic Technology","work_id":"2b989d4b-d3b5-4030-a7e9-40af7fabcdc6","year":2016},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.591695Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:db4318f1ebc47b42627a8c43f04c7dadd801717d177d3007abef8fd608c5cb1d","observation_id":"807fa8f4-15d5-4f55-8714-d8278e494f84","resolution":{"observed_at":"2026-08-06T14:09:52.119236Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:46.672869Z","title":"\\ Conklin, M","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.672869Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:35738c0fbc6b05a64ee7db31dfa0dc849c2e7dbee2cb0f555e4843b19a10e581","observation_id":"0bb74c97-9683-4b64-9e38-45521345c223","resolution":{"observed_at":"2026-08-06T14:09:46.672869Z","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":"10.1029/jc079i015p02185","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Hobbs, P V","venue":"Journal of Geophysical Research Atmospheres","work_id":"5ba90b7f-6015-47d9-a518-9f5f889e9fc7","year":1974},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.733365Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:e79c69eafdc5e8326c7ad72c0a0e79de0683b1e0bba4476fac0dba090c33f942","observation_id":"6f1786fc-ffdf-45a8-b6aa-355fb55c23a7","resolution":{"observed_at":"2026-08-06T14:09:52.101686Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1407.7502","last_updated":"2015-06-03T19:04:07Z","snapshot_observed_at":"2026-08-14T23:25:07.242359Z","submitted_at":"2014-07-28T19:16:02Z","title":"Understanding Random Forests: From Theory to Practice","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1407.7502","snapshot_observed_at":"2026-08-06T14:09:46.816529Z","title":"APACrefauthors \\ 2015 06","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.816529Z"},"links":{"cited_paper":"/paper/1407.7502","citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:c2f98e4b9a8ce17ee2a7969c16cfce6e96600a8896915b857a646fbeeaa0d44d","observation_id":"8944dfc0-fce3-4662-a801-b8bafb67e664","resolution":{"observed_at":"2026-08-06T14:09:46.816529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.07874","last_updated":"2017-11-25T03:53:32Z","snapshot_observed_at":"2026-08-14T20:59:00.743160Z","submitted_at":"2017-05-22T17:38:10Z","title":"A Unified Approach to Interpreting Model Predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.07874","snapshot_observed_at":"2026-08-06T14:09:46.878380Z","title":"\\ Lee, S I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.878380Z"},"links":{"cited_paper":"/paper/1705.07874","citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:22205830ed55055dedaa1ea09e41bb567d4759a77a71c27a1559a45243bbb39e","observation_id":"c9590099-e005-4fef-8d81-8f8f0315d306","resolution":{"observed_at":"2026-08-06T14:09:46.878380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:46.946650Z","title":"\\ Langleben, M P","venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:46.946650Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:e2904b3c532c88076a41295b3979b179050756980dea89eb41b4a96ea3b14f16","observation_id":"7c7ce140-0106-44ae-883a-6e4e089a8245","resolution":{"observed_at":"2026-08-06T14:09:46.946650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:47.011852Z","title":", W., Timothy A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:47.011852Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:20a482b34271e9c15b724169521b8e0e5a2417518377f6cecb263c26f7a794ab","observation_id":"78e4555d-e711-41a9-8b61-19ea416779b0","resolution":{"observed_at":"2026-08-06T14:09:47.011852Z","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":"10.1175/amsmonographs-d-16-0007.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Baumgardner, D","venue":"Meteorological Monographs","work_id":"082a7b77-3e29-411e-9723-7ff840708188","year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:47.111374Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:59cde302cc088c7a1a52d1c7877fa030859467a3f584861361e949ac6198884f","observation_id":"e8603cfd-56b6-4c5b-9b5c-de9077bcb66d","resolution":{"observed_at":"2026-08-06T14:09:52.982216Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jamc-d-12-0114.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Journal of Applied Meteorology and Climatology","work_id":"fe4be39d-7a71-429f-94e6-5c543d98fb69","year":2013},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:47.186093Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:337dc6a1df15b040dc402f4a3f63ea7de243554affd5c8f6b5747426b652823f","observation_id":"7000cd01-e62c-409b-a76c-69bd3f16b345","resolution":{"observed_at":"2026-08-06T14:09:52.079473Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:47.506396Z","title":"\\ Dunin-Borkowski , R E","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:47.506396Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:328c5964c5a267baacd0d068a0a99f283ee1ad376173a8db7efbe66b11a83d93","observation_id":"7301a521-ea39-4abb-b25f-73f2005bc3ac","resolution":{"observed_at":"2026-08-06T14:09:47.506396Z","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":"10.1175/jas-d-15-0204.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Morrison, H","venue":"Journal of the Atmospheric Sciences","work_id":"e58f6ddb-ee92-4337-912a-3d9001144943","year":2016},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:47.846771Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:69f6e2a165ce586805f8746c029d11db0f346e6c7b548b02a91ccee9e02be8bb","observation_id":"1acac87b-0dff-4add-a380-1985623756d2","resolution":{"observed_at":"2026-08-06T14:09:52.062119Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:47.917780Z","title":", Zhang, R","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:47.917780Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:904700290dec41a29bb5233f51333ebf28e7bc02e792f2c0c9ffa883c5d553ee","observation_id":"0d4c2387-0862-4a5d-b409-21fea1b87bcb","resolution":{"observed_at":"2026-08-06T14:09:47.917780Z","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":"10.1175/jas-d-14-0065.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Milbrandt, J A","venue":"Journal of the Atmospheric Sciences","work_id":"429360c4-0487-4895-8291-b8e18809d009","year":2015},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:47.996485Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:a0dab664c9c2f6fc8fa2827ee0c902e8b23a361733e65ecef89f70614d468d9b","observation_id":"c5533ca4-2d7a-4a5e-9411-03799a754609","resolution":{"observed_at":"2026-08-06T14:09:52.044580Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jas-d-14-0066.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Milbrandt, J A","venue":"Journal of the Atmospheric Sciences","work_id":"4943d4c5-dcae-4083-afd1-f6eb7db44fde","year":2015},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.077900Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:ed6b65b613e6d51e3200e47b6008c289895642fcca2900b50dc9553fb410382f","observation_id":"49c144ad-79f5-4d30-93ea-64f7fe0d86e9","resolution":{"observed_at":"2026-08-06T14:09:52.972160Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:48.140713Z","title":", van Lier-Walqui , M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.140713Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:ddeff5bacaddaabc7752f787e56f74960cfd7a0517d573cfe919f10797ecd10b","observation_id":"b248aa1f-a084-4b26-aacd-95fc030891d7","resolution":{"observed_at":"2026-08-06T14:09:48.140713Z","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":"10.1175/jam2194.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Hallett, J","venue":"Journal of Applied Meteorology","work_id":"fd104b12-9407-4d2e-831e-ae374594f806","year":2005},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.204926Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:088b76840970a6c68591b423f7b5d029a8894ec503e681de1df39529f290826a","observation_id":"9a3ed58d-fe08-4226-a288-3d63c5eeaa46","resolution":{"observed_at":"2026-08-06T14:09:52.025538Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T14:09:52.958144Z","title":", Gross, S","venue":null,"work_id":"da7f78cc-2d22-4289-945e-9e791da29462","year":2017},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.280175Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:6469765564aa51b2ddc7755159ad597c023f7788b97eddd5ffb812618d025057","observation_id":"ffdf47ce-acb3-4920-b878-371b6cae8e0e","resolution":{"observed_at":"2026-08-06T14:09:52.961875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T14:09:52.947787Z","title":", Varoquaux, G","venue":null,"work_id":"3f7a219a-02b0-440c-9a1d-f229424c8fb9","year":2011},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.358863Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:8cf2799f42a4345c3ed627da25960c98a39bf7d8b1feeb162eaaebed0ff238c2","observation_id":"8add38e6-9287-4fa9-8ecf-192442cee07a","resolution":{"observed_at":"2026-08-06T14:09:52.951325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jas-d-22-0077.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Moyle, A M","venue":"Journal of the Atmospheric Sciences","work_id":"0172d0f9-b4c3-4c2e-8b78-7975681ff9ef","year":2023},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.441739Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:e3d88687422a08d3c66abfaa2c108c1a347ae6891e758cf48d2dd619463c730d","observation_id":"348f46cc-552c-4298-a2cf-f1b24378b0c0","resolution":{"observed_at":"2026-08-06T14:09:52.014566Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jtech-d-21-0094.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Sulia, K J","venue":"Journal of Atmospheric and Oceanic Technology","work_id":"5e52143b-b8dd-444c-9213-dfd5f0e2f5e7","year":2022},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.554426Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:59289b79159876daee37db3d89bfb61ce595282417293bfa4537fa336fa67716","observation_id":"3524a84d-5235-486b-b50d-af4dc450fa57","resolution":{"observed_at":"2026-08-06T14:09:52.002770Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0803.14013","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:52.638932Z","title":"APACrefauthors \\ 2004 08","venue":null,"work_id":"2ccc1494-b050-4161-88ea-e6c4885f6147","year":2004},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.621385Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:50b0212df3b7e5cd3a15579f5c06a6b1536eec9947ca34f835880258902841f3","observation_id":"199eeacf-5e39-4f48-a482-a4d8a111b3ef","resolution":{"observed_at":"2026-08-06T14:09:52.644465Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10462-023-10399-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"\\ Soryani, M","venue":"Artificial Intelligence Review","work_id":"8fcb3737-0ad0-4176-a28c-7bdd9b89a7aa","year":2023},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.698932Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:3e3d1452a372dbfcd2e0ef1eb2d8d743a2390a7d393f4fecaece629e4c1282c2","observation_id":"ef46dfc4-7647-4b38-a05c-a45626d3b6bf","resolution":{"observed_at":"2026-08-06T14:09:51.992345Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/2009jas3187.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Heymsfield, A J","venue":"Journal of the Atmospheric Sciences","work_id":"a5828063-2148-4a37-bd85-f5369b5752aa","year":2010},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.768539Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:f565c4eb64fd8a3bebed1814f8d9a494d8cbd247013106bde47b7ab24f5eec7f","observation_id":"71caf07c-3393-4e56-b120-c283051d4a4c","resolution":{"observed_at":"2026-08-06T14:09:51.979633Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/2013gl058781","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T00:03:56.115653Z","title":"\\ Heymsfield, A J","venue":"Geophysical Research Letters","work_id":"ffe64922-ef37-4eeb-bf60-55b5bdbbd5f3","year":2014},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.844564Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:d1dee470a59db3dafff60ceacbe82d1b68baca1842d81176742515f47f8ebd65","observation_id":"9f82debf-3da5-4fce-8cd0-a46f7ce81ac7","resolution":{"observed_at":"2026-08-06T14:09:51.968396Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/amt-11-341-2018","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", J \\\"a rvinen, E","venue":"Atmospheric measurement techniques","work_id":"4837e611-7849-4d25-b38e-125da8dd398b","year":2018},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:48.913348Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:6bd87600528571b462fbded4cfe5a7a9e505ce262a94b24e2587a6a75b7e2c4b","observation_id":"4a3bceda-a6a6-4b26-8070-f2e58d141eba","resolution":{"observed_at":"2026-08-06T14:09:51.863441Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T14:09:52.936688Z","title":", Martin, K","venue":null,"work_id":"1589375e-41db-4bc9-8f3a-82b6edb5dcf1","year":2006},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.006804Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:f00e3eb5847a899c00f8b9e545fde9b16ea33cf50beccb83930cad5a39a74af9","observation_id":"773524de-9d38-4c31-9698-734d0bbd9b39","resolution":{"observed_at":"2026-08-06T14:09:52.940789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:49.083209Z","title":"o m Resolution Electron tomography at 2.4- ngstr \\","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.083209Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:2533c6e955673eeee2c228cde1395e6747e2d1386bc2916e94c892083c7ec6ed","observation_id":"9c7591f6-471a-4e98-80e5-72127b4295bc","resolution":{"observed_at":"2026-08-06T14:09:49.083209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:49.168730Z","title":", Sato, Y","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.168730Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:386bddafea8844878fd5c065cae7116a76cb4835e83cb5e4eac203d2f51c2305","observation_id":"758551c5-e574-4949-b043-9f02f979cf6e","resolution":{"observed_at":"2026-08-06T14:09:49.168730Z","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":"2026-08-06T14:09:52.918415Z","title":", Hardin, R H","venue":null,"work_id":"01e670c6-2a6f-4b01-b5ab-7f4ba5bbddaa","year":2000},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.226354Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:7a5243c05fd0a6a74e8a832aa6e15fb95bb5a1a15e85538f56f8ed4096961580","observation_id":"74ad24ec-3dbb-453c-adf5-432061821b8b","resolution":{"observed_at":"2026-08-06T14:09:52.922187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jhm-d-20-0253.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Igel, A L","venue":"Journal of Hydrometeorology","work_id":"cc7c9c4a-9d9f-48bb-836f-880eff942b4c","year":2021},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.309811Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:4347911931d45707090e43eb95595c0ee8e2a7113408c24c65a9141a72152ee3","observation_id":"60417e85-1c99-43fa-9ebe-5ccec79c7fa4","resolution":{"observed_at":"2026-08-06T14:09:51.772981Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:49.365790Z","title":"\\ Kononenko, I","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.365790Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:bbc379959dfbe2d1d1f8e05e7ec1e1a456046318f54f420636fb31d5ed4a45dc","observation_id":"82c6cf91-7596-4486-a8aa-9dc6d45317cc","resolution":{"observed_at":"2026-08-06T14:09:49.365790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:49.429931Z","title":"\\ Kaszynski, A A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.429931Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:87a46451c176ff7e65ded2e97d1371704b56740f7901d7cde95b6a7b34987959","observation_id":"c26d9d6a-df2f-4d83-9eac-6ea215e19d1d","resolution":{"observed_at":"2026-08-06T14:09:49.429931Z","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":"10.1038/s43247-021-00206-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Voigt, A","venue":"Communications Earth & Environment","work_id":"4ef14386-bb17-4297-8d6c-0bd71854f020","year":2021},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.485700Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:64befafc39b8d298b54a7a09ce76cdbb3cc8dfc03eaf00fab5705b20b21c11dd","observation_id":"c3ade693-b059-47fa-9d73-7a4caf9e637a","resolution":{"observed_at":"2026-08-06T14:09:51.559156Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:09:49.555080Z","title":", Gommers, R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.555080Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:40db35f71070882b7133e81f10e90bc104ec25c5a48378df9ede1707e3694841","observation_id":"d84689de-0e5b-41b9-b60f-e75488931b81","resolution":{"observed_at":"2026-08-06T14:09:49.555080Z","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":"10.5194/egusphere-2024-3316","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Schnaiter, M","venue":null,"work_id":"fc0321f3-24f4-45f8-80b4-80e49a50a741","year":2024},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.632657Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:188a6ef9f8bdd01bbacd219a6cf56bccb4cd504814b8a329562247fab10de387","observation_id":"4d20059f-34ed-4537-b9ba-647baac6db50","resolution":{"observed_at":"2026-08-06T14:09:51.296963Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2019jd032119","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Journal of Geophysical Research Atmospheres","work_id":"408eedc4-9d17-40b3-bba5-77aed08cb371","year":2020},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.708014Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:96fd8e63f297a6d81bdccc32f475c5bd0ade83d09529103c29e6295c3a2a0cd3","observation_id":"a6695a90-fb47-4248-aba5-0d2e98126a0e","resolution":{"observed_at":"2026-08-06T14:09:51.106071Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2006jd007899","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Yang, P","venue":"Journal of Geophysical Research Atmospheres","work_id":"76b3ae01-dc6e-4fa6-869b-f501a6499f09","year":2007},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.783178Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:d4fc2914f1c12ece11cb184a24ccfa8a8ac60481198c07ae4118f1493cb086ae","observation_id":"85eb3b73-ce73-4576-b5b0-42755fb4603b","resolution":{"observed_at":"2026-08-06T14:09:50.874001Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s1369-7021(04)00569-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"\\ Midgley, P A","venue":"Materials Today","work_id":"4373591a-7dd8-469d-b8c4-9313d50b9f78","year":2004},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.896186Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:35e59d9cd04951fe3343af3f20ab02e3fe31b2ea96cc0bdd01348548c8064a01","observation_id":"e34ed477-79c9-46fe-a1f6-57666b793448","resolution":{"observed_at":"2026-08-06T14:09:50.646603Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/qj.973","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Dobbie, S","venue":"Quarterly Journal of the Royal Meteorological Society","work_id":"2a81bd74-2eaf-4448-87d0-059cd5e762f4","year":2012},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:49.948588Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:cd3d5ad0b8cf6bdd2caa7bbb901f2b6b80545a9150055ba017de3383fac0a088","observation_id":"e08a25f7-cb43-4d5c-b80e-8c6c6d09b1dd","resolution":{"observed_at":"2026-08-06T14:09:52.911014Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.cell.2020.09.018","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Song, Y","venue":"Cell","work_id":"4b7559ee-daf9-41e0-bf85-9e7943c741cf","year":2020},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:50.038248Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:519964c289046d99a3efa4710cd10eec26d474b3000516c33c386270dbe1ec62","observation_id":"16ef0e7d-1c21-49f3-8f28-1e5c96b7e018","resolution":{"observed_at":"2026-08-06T14:09:50.498510Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jco.2012.11.006","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":", Fang, K T","venue":"Journal of Complexity","work_id":"3e55598e-9c49-42e9-b40b-1e3cfe642691","year":2013},"citing_paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-06T14:09:50.130422Z"},"links":{"citing_paper":"/paper/2507.19759"},"observation_digest":"sha256:9272ff99eb0d6e07736a9c879020889e71d9c598dca46167607d72af815af822","observation_id":"06d5c318-1099-44be-9a88-6bbc4f2be1f7","resolution":{"observed_at":"2026-08-06T14:09:50.323028Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.19759","last_updated":"2025-07-26T03:25:59Z","latest_version":1,"primary_category":"physics.ao-ph","snapshot_observed_at":"2026-08-14T16:47:11.422269Z","submitted_at":"2025-07-26T03:25:59Z","title":"A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery"},"reference_resolution":{"displayed":88,"state_counts":{"malformed_identifier":2,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":28,"verified_exact":51,"verified_fuzzy":4},"total_outbound_references":88},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2507.19759."}