{"as_of":"2026-08-20T22:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34b3d5d10f779938aeede95112622fdf2bd48daf17289e1d81d6ac6435a1ff99","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T04:36:18.164918Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T04:36:18.164918Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T00:31:47.326844Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01255","snapshot_observed_at":"2026-08-12T04:36:18.164918Z","title":"& Aila, T","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.164918Z"},"links":{"cited_paper":"/paper/2412.01255","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:fc3bdc5a431b164dd2757aa986f8d78ab931e020e662cf25d7bfc0d1722bcde5","observation_id":"c5d54902-3125-451c-bde1-b2c5aa03abf6","resolution":{"observed_at":"2026-08-12T04:36:18.164918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"cited_work":{"arxiv_id":"2412.01255","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.01255","snapshot_observed_at":"2026-08-07T00:31:47.326844Z","title":"Merging synthetic and real embryo data for advanced AI predictions","venue":"eess.IV","work_id":"3a72f81a-d414-49b5-905a-3749b59d7928","year":2024},"citing_paper":{"arxiv_id":"2506.13843","last_updated":"2025-06-16T16:38:37Z","snapshot_observed_at":"2026-08-15T16:47:23.814013Z","submitted_at":"2025-06-16T16:38:37Z","title":"BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:47.211506Z"},"links":{"cited_paper":"/paper/2412.01255","citing_paper":"/paper/2506.13843"},"observation_digest":"sha256:70574d090da9525962a5ebaa532226fd6ad73684bd1df85df692ff739836a87a","observation_id":"94673f56-9766-4f8d-bc84-dc88ffc05cfd","resolution":{"observed_at":"2026-08-07T00:31:47.333582Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.01255/citation-record","integrity":"/paper/2412.01255/integrity","json":"/paper/2412.01255/citation-record.json","paper":"/paper/2412.01255"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.226475Z","title":"Infertility","venue":null,"work_id":"3b09e28f-1009-4938-8fbe-561664908ce9","year":2024},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.965472Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:292dd838265cadf8305f2c3dadfdbca78a9d185b4f8486b70cd95ff24db90989","observation_id":"ec3e800a-b298-40b0-951e-689bd1c40fd9","resolution":{"observed_at":"2026-08-12T04:36:19.230256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/humrep/dead197","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.493841Z","title":"ART in Europe, 2019: results generated from European registries by ESHRE†","venue":null,"work_id":"d5a67fa8-af07-422a-b5a5-cc3cde4a36ee","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.969641Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:aa4080e7b8d06c3cd11ebfa33645e4ea9de710d0507749e5fe203740336ab65d","observation_id":"3a01cbed-c9a2-4504-98c4-a5bd5a90fb03","resolution":{"observed_at":"2026-08-12T04:36:18.497459Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.216226Z","title":"J., Breth Knudsen, U","venue":null,"work_id":"5b514d09-18d3-4eff-8975-44c8433d6115","year":2013},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.973694Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:f80db4dd1c346f56134e8df6e360666a5d76e3207c3a6748cbf5a10fae27bf04","observation_id":"4f3c3387-5925-4e75-a6f9-37ef4f0e9e41","resolution":{"observed_at":"2026-08-12T04:36:19.219679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0557.20180","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.113584Z","title":"& Andershed, A","venue":null,"work_id":"51c51b2b-20b9-401c-9660-97493d016f4b","year":2018},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.977618Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:468e328b5fb7d233ad96c09c05b8ac2c7361597b5a3ba2f577a728dce9677453","observation_id":"840a8fd0-f507-4a38-98fe-b883895e5a4f","resolution":{"observed_at":"2026-08-12T04:36:19.118837Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/humrep/deab168","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.483297Z","title":null,"venue":null,"work_id":"79d80c48-3ff5-4f0b-96b4-5a2a5960373f","year":2021},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.981438Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:5652906e6c8c6e6d76087c7ce2bb1d1bccf2bed10c4ead549b7b9b9fe46691cc","observation_id":"d1d861ab-1f44-4cdb-a8ca-3857fb9e9759","resolution":{"observed_at":"2026-08-12T04:36:18.486876Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/hropen/hoac022","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.472425Z","title":null,"venue":null,"work_id":"63d78960-e0bd-4fd7-a84b-3044ff0523b5","year":2022},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.985402Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:a9fc2bf85ce4a99987534962a7a966962937cff066b0cfbad7073eb011d57478","observation_id":"7bb985d5-078c-4e4d-ac9d-e6603421e0c2","resolution":{"observed_at":"2026-08-12T04:36:18.475956Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0557.20220","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.042321Z","title":"& Janssens, R","venue":null,"work_id":"3d7df75a-9fd7-4b0a-a576-95b12e87796b","year":2022},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.989576Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:93233e0b831c003a45dd4b759314dab8a6228a09a466791f6a3f8beb15c4bdaa","observation_id":"2bbafca2-af85-49dc-aa04-922122ae3c54","resolution":{"observed_at":"2026-08-12T04:36:19.047796Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.heliyon.2021.e06298","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.461574Z","title":null,"venue":null,"work_id":"75168af6-3ae8-402b-bdfa-d07666e31159","year":2021},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.993397Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:6c817539458619149ee4bb01bd93decd881e255fe72335988842d7bcae81b5c1","observation_id":"39b27378-5eb5-45fb-a852-7100912e7e9f","resolution":{"observed_at":"2026-08-12T04:36:18.465104Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.205741Z","title":null,"venue":null,"work_id":"6bb5983b-b830-426d-aafb-819a81f5bd06","year":2022},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:17.997061Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:2605d5d204a9e62029edcdc1ee1f0a5eb8530252f7b510187e427d025e64b9f9","observation_id":"b7400845-5a42-4fb0-bd32-7bb7620845dd","resolution":{"observed_at":"2026-08-12T04:36:19.209512Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.fertnstert.2019.07.805","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.450836Z","title":null,"venue":null,"work_id":"f4c34f8d-5bd6-4aab-8116-660501eaab51","year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.000739Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:5e871901c138e1d07ee2f7a6b61deabe8b717cd2d32d8f79277f166af3b6076f","observation_id":"cdffdf2c-0b99-4893-bc8d-9cb9f7810f94","resolution":{"observed_at":"2026-08-12T04:36:18.454428Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.29377","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.966889Z","title":null,"venue":null,"work_id":"f2501fea-9967-4143-8ed8-2b68c547d9db","year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.004693Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:724cdd8f4bc50a23ad60bcd8f69257d74f4e29fa148eeac525a5ae6031adcc64","observation_id":"59cf225c-b3f9-4c42-8a51-9c937847e8b6","resolution":{"observed_at":"2026-08-12T04:36:18.972697Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.rbmo","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.439650Z","title":null,"venue":null,"work_id":"d8ee6382-7375-47c4-9568-1b3f0cfa089b","year":2022},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.008385Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:467ce477858f41bb32b63d2e15b3a04ecd7103e7e17c51e2acaf31c238e40969","observation_id":"f9e4f82a-1412-4e6a-b32f-5ad86841da2c","resolution":{"observed_at":"2026-08-12T04:36:18.443712Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-023-31136-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.428699Z","title":"& Berntsen, J","venue":null,"work_id":"0ec2844c-1914-4c24-becd-b5d9ecd22c19","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.012133Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:e57529f99d3e01967ddd60b78b5cc05d06a0dbfada158b86f3cdcf925301d6c9","observation_id":"232c36b1-7d07-4d51-808f-59324d1c3c1f","resolution":{"observed_at":"2026-08-12T04:36:18.432355Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.015990Z","title":"Artificial Intelligence in the IVF Laboratory: A Review of Advancements Over the Last Decade.Fertility Steril","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.015990Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:46c64227c05d617f38561eb656c65aa2b0f7d376900d6fb196141875d1cc992b","observation_id":"175d6e99-7bb5-48e6-8640-63699fcd7368","resolution":{"observed_at":"2026-08-12T04:36:18.015990Z","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.fertnstert.2019.12.004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.409512Z","title":null,"venue":null,"work_id":"6b3d5399-325b-433d-8ae9-fd88315ba0c2","year":2020},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.019506Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:0931263dbb111bfbbd98c257edca553c636b3a05296f7b658c7c8478a64f486b","observation_id":"081c848c-c3a6-49d8-b3fe-9b7b8d17c91b","resolution":{"observed_at":"2026-08-12T04:36:18.413165Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.194738Z","title":null,"venue":null,"work_id":"7cbbcbf1-3b14-46d1-8153-cbe20ff98449","year":2021},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.023200Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:1717a0791a346611432f5cede5956bc5e1027ed137c89896b81f2075bdd70cd8","observation_id":"897ce33f-de21-4b43-920b-f425c3a7a121","resolution":{"observed_at":"2026-08-12T04:36:19.198438Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10815-011-9549-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-19T11:03:45.297681Z","title":null,"venue":"Journal of Assisted Reproduction and Genetics","work_id":"7eedf5b0-d7b6-4f56-b8b2-f179abb5c848","year":2011},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.026795Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:b1f40632d2f70ac27ff9d875672eb4617483c06a76a9bf46adbabe98ac0ce13f","observation_id":"4c404ccb-10be-468f-8fa1-935862f3d4ef","resolution":{"observed_at":"2026-08-12T04:36:18.402138Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.184186Z","title":null,"venue":null,"work_id":"b03e2214-c299-4c0f-a736-1bbd6fbbffaa","year":2000},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.030573Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:c80fe4d696e33b9f337257b8b0bafd4e29445bc4b429908880609f347f2d40de","observation_id":"854d1da0-5f1f-4491-83b0-41e587db5eee","resolution":{"observed_at":"2026-08-12T04:36:19.187985Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.172277Z","title":"Atlas of human embryology: from oocytes to preimplantation embryos","venue":null,"work_id":"f925533a-6005-4741-b9c0-1100456ff3d5","year":2016},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.034115Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:f84f940a58135c2f4bfb4f1d5e18ca742e7a40a3479e49eb76a2cf779f2c530d","observation_id":"513066d7-e5f3-4750-86e1-b10702288638","resolution":{"observed_at":"2026-08-12T04:36:19.176687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/uog.17327","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":null,"venue":"Ultrasound in Obstetrics and Gynecology","work_id":"36ecf1ab-c19c-4b4a-b02f-fa6c05f732fa","year":2017},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.037694Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:1f33c175d50121f613ba6509b8d485a5a4e334f39ac1b4c9fda9021765f531d0","observation_id":"669fabf5-2f26-470c-b495-81de40d4873e","resolution":{"observed_at":"2026-08-12T04:36:18.390808Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s1472-6483(10)60222-2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.374389Z","title":"& Ziebe, S","venue":null,"work_id":"778b16c1-a06f-465f-9ed0-345dba88897b","year":2008},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.041322Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:3d6e3312d4223803b63b6770f09253a469ce5b9c16563d9a1493894b0193828e","observation_id":"5f577cf7-6e54-4e15-bc0c-e978d42505d4","resolution":{"observed_at":"2026-08-12T04:36:18.378363Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02534","last_updated":"2023-08-01T09:46:31Z","snapshot_observed_at":"2026-08-17T13:05:28.515987Z","submitted_at":"2023-08-01T09:46:31Z","title":"Exploring the Role of Explainability in AI-Assisted Embryo Selection","version":1},"cited_work":{"arxiv_id":"2308.02534","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.02534","snapshot_observed_at":"2026-08-12T04:36:18.892059Z","title":"Exploring the Role of Explainability in AI-Assisted Embryo Selection","venue":"cs.CV","work_id":"0948c205-737d-4ebd-9175-0e22e41b5d05","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.044959Z"},"links":{"cited_paper":"/paper/2308.02534","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:08c650e7025dae6ef865207ec10994384c1ee9dbb5068ea9e5f2b3a920124769","observation_id":"58f9e04d-71de-4502-9156-312ee8c01854","resolution":{"observed_at":"2026-08-12T04:36:18.896395Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/hropen/hoad031","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.363595Z","title":null,"venue":null,"work_id":"8a5190d6-0d26-468b-8451-144567d70f97","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.048891Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:1b7ae5c7120a2240a3e0e86cfa21746f7f5de48eb0735a37e6a455ab4ccaca4a","observation_id":"41985993-22e6-40f7-a1c6-eb767008b6fd","resolution":{"observed_at":"2026-08-12T04:36:18.367018Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.052386Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.052386Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:827b3dc0d30a6b86cffac65c25531822aeb6a81d76d5af7e97d92ce161d1c9cd","observation_id":"0a1ceb87-9bf7-4ff9-b6bd-3d853d6dd5b8","resolution":{"observed_at":"2026-08-12T04:36:18.052386Z","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/s41551-021-00733-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.344988Z","title":"K., Thirumalaraju, P., Kandula, H.et al","venue":null,"work_id":"b0d9b78d-d6eb-43c3-b852-e773a2a429e8","year":2021},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.056150Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:c18b2970e3e5ee66d037ba74a5b82019839bc278148a9424137bdee6a3ad74c3","observation_id":"5015c1dc-d139-4d84-ae84-d910f58ddd61","resolution":{"observed_at":"2026-08-12T04:36:18.348749Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-023-02182-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.333856Z","title":"An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization","venue":null,"work_id":"0d4a122f-0a58-4667-ab3e-ebaac31b2e12","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.060300Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:2d595e3b9339749ffed5205b7ee7ee93559ad113ed8fb15eb9abc4a69463c5be","observation_id":"46ba2ee9-e07d-4b9b-9422-45e2354df0d1","resolution":{"observed_at":"2026-08-12T04:36:18.337692Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.063869Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.063869Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:9fa81ae82b4f68a121fc13e2492a26022b0da5afea76a06b239a42925e5a0f9d","observation_id":"b78572b1-5e97-4589-b136-633a15ddb4ad","resolution":{"observed_at":"2026-08-12T04:36:18.063869Z","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":"2026-08-12T04:36:18.066973Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.066973Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:5ea0008dfd83ef5f67c2934ade763404abfca0bd0d0d929ac98a2433b8324ef9","observation_id":"b7bcd59c-774a-4106-af44-9e6ba0bc15f2","resolution":{"observed_at":"2026-08-12T04:36:18.066973Z","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":"2026-08-12T04:36:18.070298Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.070298Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:3278fc51b22a379aa62cf9dc36a3acef49ba79dc1aa2e61c04226f5a43939f4d","observation_id":"1460943a-f7a3-4c8e-a233-6ee954ec9564","resolution":{"observed_at":"2026-08-12T04:36:18.070298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06434","last_updated":"2016-01-07T23:09:39Z","snapshot_observed_at":"2026-08-12T18:43:14.431633Z","submitted_at":"2015-11-19T22:50:32Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06434","snapshot_observed_at":"2026-08-12T04:36:18.073465Z","title":"& Chintala, S","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.073465Z"},"links":{"cited_paper":"/paper/1511.06434","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:ea12f7c3195631bccd224636bc51d235a32bf063df06da056b27ba2a421ae4c8","observation_id":"635ac1f1-9875-4cd3-8fa7-3afa309bce83","resolution":{"observed_at":"2026-08-12T04:36:18.073465Z","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":"10.3390/diagnostics13162635","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.315795Z","title":"& Agee, J","venue":null,"work_id":"4d42dcc4-debd-43f5-913e-49bb5ecc43db","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.077037Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:d4ae6bd237eb074692be566345d305568c660dd38a067c853f39077392ed8102","observation_id":"f19ec0e6-a5a4-4010-bb59-3a8450a23b75","resolution":{"observed_at":"2026-08-12T04:36:18.319343Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.160915Z","title":"P., Sarada, V","venue":null,"work_id":"1c696e81-067a-452d-8855-e4481684ec64","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.080733Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:79236f46890ed18466505db6d97b528d9eb549229fa0a5826f5d7de5c15ddf48","observation_id":"bee3930f-0d9f-484a-935e-4cb22f5c227b","resolution":{"observed_at":"2026-08-12T04:36:19.164482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04948","last_updated":"2019-03-29T11:08:46Z","snapshot_observed_at":"2026-08-14T17:44:45.577553Z","submitted_at":"2018-12-12T13:59:43Z","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04948","snapshot_observed_at":"2026-08-12T04:36:18.084398Z","title":"& Aila, T","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.084398Z"},"links":{"cited_paper":"/paper/1812.04948","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:455a3a4ed4a990083ebc1e52e47e7f287a9bc1022f3c227b8b1a5624f3490c94","observation_id":"699839ef-9538-4cac-978a-c7b083e5c853","resolution":{"observed_at":"2026-08-12T04:36:18.084398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10752","last_updated":"2022-04-13T11:38:44Z","snapshot_observed_at":"2026-07-06T12:20:47.369918Z","submitted_at":"2021-12-20T18:55:25Z","title":"High-Resolution Image Synthesis with Latent Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10752","snapshot_observed_at":"2026-08-12T04:36:18.088349Z","title":"& Ommer, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.088349Z"},"links":{"cited_paper":"/paper/2112.10752","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:1bf72894794832e6173ce36229565f1dfe06ee36ef8726c68dfbb426c7999e98","observation_id":"e29e3ec0-5a52-4af3-86f3-9fcc7d49d476","resolution":{"observed_at":"2026-08-12T04:36:18.088349Z","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":"2026-08-12T04:36:19.149513Z","title":"& Schwenker, F","venue":null,"work_id":"60ccb967-a14d-428f-aa5f-9bfb8bc38c00","year":2024},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.092314Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:f791906d1c0c45972073e37ce9602835f20638e732f4dfc6bfab0b3af85f8b40","observation_id":"1802f3a4-65f5-4b5b-b5b8-052c8bb388d9","resolution":{"observed_at":"2026-08-12T04:36:19.153864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.09700","last_updated":"2021-07-20T18:08:27Z","snapshot_observed_at":"2026-08-16T18:08:42.178086Z","submitted_at":"2021-07-20T18:08:27Z","title":"3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images","version":1},"cited_work":{"arxiv_id":"2107.09700","doi":null,"metadata_source":"pith","pith_arxiv_id":"2107.09700","snapshot_observed_at":"2026-08-12T04:36:18.701584Z","title":"3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images","venue":"eess.IV","work_id":"f5e002e9-05d1-44ca-ba98-12affc571827","year":2021},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.095963Z"},"links":{"cited_paper":"/paper/2107.09700","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:e593d6b0e546c6be1c171b646eff5d6ed3e7aaead4ff16b89cbfec92988a3fcc","observation_id":"2d449230-82bd-43fc-b4a7-621733dcb077","resolution":{"observed_at":"2026-08-12T04:36:18.706213Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:19.138653Z","title":null,"venue":null,"work_id":"ebea4a0d-71f6-420a-b434-648085bd1ea8","year":2022},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.099999Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:28b625ff0b84992071c9301e9eb884240bd2dd4a98096023393b10a849f7ef84","observation_id":"89855674-07bd-43d5-ab14-6737f112b81b","resolution":{"observed_at":"2026-08-12T04:36:19.142382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.103481Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.103481Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:fc1254a7b650fdf3ffacb892ad58576f347c03a8255f24bd07ed2eb30cdd5569","observation_id":"6f1e7a4e-4a66-40db-9034-d9e442a97a59","resolution":{"observed_at":"2026-08-12T04:36:18.103481Z","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":"10.3390/s19163578","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.304445Z","title":"& Scherer, R","venue":null,"work_id":"b2cc949c-6a90-4827-97d0-f3d0c574bca3","year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.106964Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:0a806d32ca223a1a1cb1eecd1f010afe795afd1974cb4c1b096cb8d79690eaf9","observation_id":"137a693f-93d1-448c-81f3-c693c6ee2295","resolution":{"observed_at":"2026-08-12T04:36:18.308195Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/humrep/deae064","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.293007Z","title":null,"venue":null,"work_id":"1088e311-ca6a-479e-bac1-7923d63a81b3","year":2024},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.110886Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:86e2eeca7a30eb4e77de9fb244eb194176ccd972033cb13889e7bf36071a7bc4","observation_id":"5867b4d2-b1c0-4f7d-a16a-2d5d80eb85dc","resolution":{"observed_at":"2026-08-12T04:36:18.296770Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/humrep/deae108.553","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.281735Z","title":null,"venue":null,"work_id":"d706d816-5e2b-4c54-bb92-241cc3a6fe6e","year":2024},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.114531Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:2d7cb311fb772bc1e4037e20f2621e1d50e001aa2937008b0b3429fc91ac81aa","observation_id":"151a3718-6b1e-43ce-8444-7977d3416399","resolution":{"observed_at":"2026-08-12T04:36:18.285667Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.118314Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.118314Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:577a918872fdb263070535ca459b540232e1eeb6eb900f7d6074ec9f35da46bd","observation_id":"a5fd889c-82b0-462b-9bfc-406af17f2afd","resolution":{"observed_at":"2026-08-12T04:36:18.118314Z","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":"10.1186/s12938-019-0738-y","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.262636Z","title":"& Jonaitis, D","venue":null,"work_id":"2a6225eb-dc23-4ff5-91d1-e3bb8029fe28","year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.121945Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:c446177a990495effd32e09fb8e4de078efaf50c5068ee0e7142ccc6eb23bfe2","observation_id":"08f4318c-8279-4adb-880f-bd04d132246b","resolution":{"observed_at":"2026-08-12T04:36:18.266483Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-024-80565-1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.250761Z","title":"& Boussommier-Calleja, A","venue":null,"work_id":"729804dc-9e97-40f1-a1d5-3bec5a946d19","year":2024},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.125552Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:6109d6c0e7c10aafc37a41c6610cc5d41639dd42e7049e650472a5a7453b8467","observation_id":"b654c119-94f6-48b8-a539-33bb57dba67a","resolution":{"observed_at":"2026-08-12T04:36:18.254790Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08466","last_updated":"2023-04-17T17:42:29Z","snapshot_observed_at":"2026-08-20T06:48:47.366338Z","submitted_at":"2023-04-17T17:42:29Z","title":"Synthetic Data from Diffusion Models Improves ImageNet Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08466","snapshot_observed_at":"2026-08-12T04:36:18.129059Z","title":"& Fleet, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.129059Z"},"links":{"cited_paper":"/paper/2304.08466","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:9418217dd2cd20a56baf8e4d31ca496df6ac0c58db93262bdc8383e81436e751","observation_id":"5b93a583-9833-42c1-b4ba-489a0c56ef9c","resolution":{"observed_at":"2026-08-12T04:36:18.129059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15316","last_updated":"2023-05-24T16:33:02Z","snapshot_observed_at":"2026-08-16T15:30:04.650501Z","submitted_at":"2023-05-24T16:33:02Z","title":"Training on Thin Air: Improve Image Classification with Generated Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15316","snapshot_observed_at":"2026-08-12T04:36:18.132667Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.132667Z"},"links":{"cited_paper":"/paper/2305.15316","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:0665046768c8a69dfd46b2f1c6c46895dfeb229b7fc2577f7bb27b36115bc936","observation_id":"2d60cad3-02ee-4c8a-8027-3785f74936ed","resolution":{"observed_at":"2026-08-12T04:36:18.132667Z","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":"10.1145/3603715","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.238825Z","title":null,"venue":null,"work_id":"2f3f3e36-dc83-4469-8c6c-8bface97f74f","year":2023},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.136324Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:f96ec6d0d789bf876dd12a4317d8f6c6181b63f386bfbf9ea6609466ccb19f6f","observation_id":"985571e3-b860-476e-9525-7fed6d62b448","resolution":{"observed_at":"2026-08-12T04:36:18.242428Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/humrep/dew016","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.226817Z","title":"Revised guidelines for good practice in IVF laboratories (2015)†","venue":null,"work_id":"b3564c65-2fcb-4918-b0c5-f49b570b2073","year":2015},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.139965Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:5470bb56ee6c38c75be1646803828ff349ae966a3b5e74d095f7fdf8db19d82f","observation_id":"eee6d69b-f68e-4242-b349-cb6fa4ec6357","resolution":{"observed_at":"2026-08-12T04:36:18.231337Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.placenta.2011.07.009","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.215437Z","title":"& Köster, M","venue":null,"work_id":"7a89d393-4729-423e-9fe2-195e0294f5f0","year":2011},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.143387Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:04f84826bc4290b0cc3993c7b926b5f75bc5daf341ba02e5b69b837a39139255","observation_id":"04434d34-aed5-4afd-96b2-610095d226c8","resolution":{"observed_at":"2026-08-12T04:36:18.219185Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.147065Z","title":"& Park, H","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.147065Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:6d75139fdc24920353d24e6b06c9774f79bde4193a10533693d732de2c4b2a04","observation_id":"63074c1c-e561-4cf1-abf0-f2ee668b309c","resolution":{"observed_at":"2026-08-12T04:36:18.147065Z","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":"10.1017/s0967199419000522","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.204415Z","title":"& Smith, G","venue":null,"work_id":"d289241a-7317-404d-bbc8-d23457d8078b","year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.150510Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:3ae54f8feddd7d74d72c4d4da99de632cc38398c574ada07ef0861678a4c0e2c","observation_id":"448a244c-2a09-452a-8459-07abc0118b57","resolution":{"observed_at":"2026-08-12T04:36:18.208182Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10815-021","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:36:18.192361Z","title":null,"venue":null,"work_id":"dbdc5dc3-b3a9-4b3c-83e1-a6140eab75ee","year":2021},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.154086Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:332a5a64d5d4ffd156194c2926166be6078fb3224ede52c215cc56b2053cee6d","observation_id":"368e7d9a-b76d-4944-a57d-d0b7f9cdfaaf","resolution":{"observed_at":"2026-08-12T04:36:18.196726Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.06676","last_updated":"2020-10-07T17:09:24Z","snapshot_observed_at":"2026-08-10T22:02:14.700891Z","submitted_at":"2020-06-11T17:06:34Z","title":"Training Generative Adversarial Networks with Limited Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.06676","snapshot_observed_at":"2026-08-12T04:36:18.157811Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.157811Z"},"links":{"cited_paper":"/paper/2006.06676","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:9d0311642e06ec5bfc70947e285a80238c3cecf221eaa68789823f57c6d70fb9","observation_id":"8c50784a-84b3-4162-a7f2-5156766c1457","resolution":{"observed_at":"2026-08-12T04:36:18.157811Z","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":"2026-08-12T04:36:19.128164Z","title":"& Brox, T","venue":null,"work_id":"c0c5dd88-8fca-4cda-ba2e-632dd32cda44","year":2015},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.161636Z"},"links":{"citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:b9d92c8c9ec1d2e4516c72c6d99b6606c7656369ed17143819aa98352e15fcc9","observation_id":"5f08437c-1c9b-4bff-b743-e2e89b374dfd","resolution":{"observed_at":"2026-08-12T04:36:19.131807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01255","snapshot_observed_at":"2026-08-12T04:36:18.164918Z","title":"& Aila, T","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T04:36:18.164918Z"},"links":{"cited_paper":"/paper/2412.01255","citing_paper":"/paper/2412.01255"},"observation_digest":"sha256:fc3bdc5a431b164dd2757aa986f8d78ab931e020e662cf25d7bfc0d1722bcde5","observation_id":"c5d54902-3125-451c-bde1-b2c5aa03abf6","resolution":{"observed_at":"2026-08-12T04:36:18.164918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.01255","last_updated":"2025-03-24T16:57:58Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-15T00:33:05.402202Z","submitted_at":"2024-12-02T08:24:49Z","title":"Merging synthetic and real embryo data for advanced AI predictions"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":19,"verified_exact":26,"verified_fuzzy":6},"total_outbound_references":55},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2412.01255."}