{"as_of":"2026-08-12T05:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3f01986daaa572ae3d4b9005f41440f7a2f9469ce6e15c74624b2571aae85ca","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T05:40:05.834425Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2509.05078/citation-record","integrity":"/paper/2509.05078/integrity","json":"/paper/2509.05078/citation-record.json","paper":"/paper/2509.05078"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T05:40:13.145448Z","title":"Zhang, F","venue":null,"work_id":"3843fbec-b937-4a52-bb6d-35a917b26635","year":2016},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.237176Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:94248c1a3dae4c463c0a4ef665b0fc476b5373e96ce4d7eb7428319505f69689","observation_id":"d443bb50-e6ed-4c87-8570-4e534f996984","resolution":{"observed_at":"2026-08-05T05:40:13.215467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:12.926858Z","title":"Ranking facial attractiveness,","venue":null,"work_id":"4c59e6db-9a81-4fb4-8c2c-d1619ac01fb7","year":2005},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.316302Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:ab13feb943004d25ea3b27ed05d5a08516b5883cacedbd36f227f3b886500542","observation_id":"25f0388c-2946-41bd-94c4-adef3ac9a1a7","resolution":{"observed_at":"2026-08-05T05:40:13.050551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:12.698694Z","title":"A comprehensive review of facial beauty prediction using deep learning techniques","venue":null,"work_id":"1a4a3904-7466-477c-9388-0fa2c9609fb1","year":2025},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.444452Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:b788ea15ec37991846a98fc69ee9ae590c8224a22902a26d25ebedbbaa71bca2","observation_id":"106db694-3434-40fd-83c2-e956f5d1451a","resolution":{"observed_at":"2026-08-05T05:40:12.810251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:12.562598Z","title":"The role of the golden proportion in the evaluation of facial esthetics","venue":null,"work_id":"8051199b-441c-41d6-88b6-d37f7e6705c8","year":2013},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.549153Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:5c8947bb69de5a404b78b281485482512ece2be759eb8885ad280dc6e8c7f676","observation_id":"4d7f8066-fc8f-4262-af97-a65602931357","resolution":{"observed_at":"2026-08-05T05:40:12.632232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:12.377525Z","title":"Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios","venue":null,"work_id":"44ac234f-0946-4c2c-9f30-d6864f151d08","year":2008},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.621824Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:b8a0703d550f2adc41fe36832bae548ccaafb4a2fea3edde77f64a2d67a2e2d0","observation_id":"628caf1c-2a99-494f-9c09-3e5b923b3cb8","resolution":{"observed_at":"2026-08-05T05:40:12.467258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:12.121599Z","title":null,"venue":null,"work_id":"5503c6f1-cc17-46e9-9d92-5ca445be097c","year":null},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.685393Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:adeba450e670b0bb8a355ea806229df8ba647f18821d78ad22ea96819c8eb15a","observation_id":"81e2baf4-faa5-4e3a-93d6-5ec8c818a334","resolution":{"observed_at":"2026-08-05T05:40:12.284181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.08458","last_updated":"2015-12-02T18:06:03Z","snapshot_observed_at":"2026-07-06T04:37:52.737823Z","submitted_at":"2015-11-26T17:45:01Z","title":"An Introduction to Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.08458","snapshot_observed_at":"2026-08-05T05:40:03.794643Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.794643Z"},"links":{"cited_paper":"/paper/1511.08458","citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:4ad146fe0883ad2ee4060cbef6b5ceb4ecb9d7a2cfa9a695bf449aace3865e8d","observation_id":"f285a0c9-c529-4525-b050-86d2b757d7d0","resolution":{"observed_at":"2026-08-05T05:40:03.794643Z","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":"2026-08-05T05:40:11.910580Z","title":"Imagenet classification with deep convolutional neural networks","venue":null,"work_id":"d83b6872-36dd-4965-801b-cd03e0119829","year":2012},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.855406Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:81a5d10aa2dde513a458e179ccde45a2051cc9fb8b68120e26ee1b0787f7ebc9","observation_id":"f089a03d-e011-4f36-8bfb-c81cd0b89a1d","resolution":{"observed_at":"2026-08-05T05:40:12.045102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:11.712570Z","title":null,"venue":null,"work_id":"0e655cf7-9c04-4cf5-8cea-18909f1f9018","year":2016},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.911280Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:303dc81fbef828991e0cb5f568ede9120b4e8ec18082c07581dc5847c6a7f42a","observation_id":"9ab11b52-4ba2-4899-a120-e27d2d7d6d92","resolution":{"observed_at":"2026-08-05T05:40:11.840060Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:11.464931Z","title":"Facial Beauty Prediction Using an Ensemble of Deep Convolutional Neural Networks","venue":null,"work_id":"4afd821d-6184-4c9e-96c6-c06f548b7f47","year":2023},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:03.963663Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:bf11293446c425193133a0edd9a1402f2dcb9044f0ddd88036d3759aee7325b8","observation_id":"c6bd3c88-d7c4-4ec0-afb8-f6160193ef60","resolution":{"observed_at":"2026-08-05T05:40:11.583855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:11.287725Z","title":"Natural language processing","venue":null,"work_id":"2491deec-f08e-45a7-9a4b-eda6f21e3432","year":2020},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.018403Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:3a257c3de69d96ea00ef33c29d52b50a2a60cfe817a80314e8fbaf81396d5746","observation_id":"a6477aba-d191-4eef-88c3-4899488c2819","resolution":{"observed_at":"2026-08-05T05:40:11.389679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T05:40:04.112345Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.112345Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:223c3c972f8f6730f8773883f6eb218cc97c6dfdd197d38e64f1c436203a00a2","observation_id":"b44e68f3-402b-48e7-87d3-00d02e97e58b","resolution":{"observed_at":"2026-08-05T05:40:04.112345Z","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":"2026-08-05T05:40:11.025655Z","title":"Facial Beauty Prediction Using Global Context Vision Transformer,","venue":null,"work_id":"183c3178-cd96-4bf6-91c7-443897cfb95e","year":2025},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.171340Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:280ae1521a684b198bf80964a396d9042e7afd71abd118e29698610612817cb8","observation_id":"12c16363-e837-4a7a-9723-adf845ab21c7","resolution":{"observed_at":"2026-08-05T05:40:11.179469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:10.769262Z","title":"Vision research, vol 48, no 2, pp","venue":null,"work_id":"2a95f9a5-6711-4f13-baa8-15082fae517b","year":2008},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.256508Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:0115a72c25d42fa354902a9c657a267042877091f9a777b2a2a65f98ed847d9b","observation_id":"631f513d-de7f-4d36-a2c8-731c4f188f7e","resolution":{"observed_at":"2026-08-05T05:40:10.899397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:10.560605Z","title":"Transfer learning adaptive facial attractiveness assessment","venue":null,"work_id":"5baf2864-8e0c-4a19-81b2-014d42eb1fe6","year":1922},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.338965Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:aae0f78c9f8671c4de2f5770034582fa1e1f22d63e2348257f889685f6526919","observation_id":"215e563e-e8dc-4aaf-8d96-5cf7dafb121a","resolution":{"observed_at":"2026-08-05T05:40:10.666392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:10.355770Z","title":"Cao, K Choi, H Jung et al., Deep learning for facial beauty prediction","venue":null,"work_id":"47b30378-e4c3-45a0-be19-ecd343546515","year":2020},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.416860Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:8b726a95d15b4d5c6eb9798f33d44d647e32fe967880e2cfca3cf506fa5fb798","observation_id":"7cbf68b1-e657-41f0-9b66-45cd09d31171","resolution":{"observed_at":"2026-08-05T05:40:10.462257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:10.086408Z","title":"Label distribution-based facial attractiveness computation by deep residual learning","venue":null,"work_id":"3b215ae6-a70b-49b2-bf44-a541c5452449","year":2017},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.485236Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:b01b222476b6fb7b13013096aebc6d25975b7d274916e8958649a2a66a1f5f16","observation_id":"18c2ccd2-21f4-4e3f-906c-8fe08bec854a","resolution":{"observed_at":"2026-08-05T05:40:10.221113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:09.937409Z","title":"Dynamic attentive convolution for facial beauty prediction","venue":null,"work_id":"0295a434-a787-4958-82c9-dd2397be91a2","year":2024},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.540822Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:0d73666ba4ea30d5a507e0404fc086e6432dc1f3f1b717a93bd746ee59a1ddb2","observation_id":"a53023c1-85f7-4086-a2af-6a938fbcab4b","resolution":{"observed_at":"2026-08-05T05:40:10.005965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:09.721135Z","title":"Regression Guided by Relative Ranking Using Convolutional Neural Network (R3CNN) for Facial Beauty Prediction","venue":null,"work_id":"42f6f9f3-dbf0-441d-b3a4-1679d48cb5ae","year":2019},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.624345Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:49a88154bb9fa07a31f2947631454d1d31879eba63ebe9932b6ea9e0b4e30d7e","observation_id":"af04a082-6446-4bf2-8003-9e8ece32d87a","resolution":{"observed_at":"2026-08-05T05:40:09.854775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:09.416731Z","title":"EEE Access, vol","venue":null,"work_id":"f2a598cc-cee6-4d52-9aff-03bca5b7e676","year":2020},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.720698Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:827b81ca58c0fee6074bf55ba9a1bd8d1ab4ecd5554377bd0ff8a1307ba39892","observation_id":"6d6646b8-2a34-4659-9b09-4f4997451c1b","resolution":{"observed_at":"2026-08-05T05:40:09.547515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:09.162860Z","title":"Rethinking the inception architecture for computer vision","venue":null,"work_id":"484f404b-fa46-401b-aa60-422ee8ffa56b","year":2016},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.825509Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:9485cd3df024b4657476b7db0d61c730bdec8053660f4e618430f9525bdf4958","observation_id":"7910722b-fb7a-4a4e-a27d-d36d3912df9c","resolution":{"observed_at":"2026-08-05T05:40:09.264260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:08.915232Z","title":"Feature pyramid networks for object detection","venue":null,"work_id":"8c207c89-4331-4023-b0ef-3bdd5b16df05","year":2017},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:04.930168Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:ffbd99d5e6dea0edce1e59250183f6fad27b78790dd27fb1c2cac3265dec4af8","observation_id":"266312c8-c2fc-4995-88c3-d0d0f84a0bf4","resolution":{"observed_at":"2026-08-05T05:40:09.038169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.20363","last_updated":"2025-07-27T17:33:51Z","snapshot_observed_at":"2026-08-10T21:44:33.954920Z","submitted_at":"2025-07-27T17:33:51Z","title":"Generative Pre-training for Subjective Tasks: A Diffusion Transformer-Based Framework for Facial Beauty Prediction","version":1},"cited_work":{"arxiv_id":"2507.20363","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.20363","snapshot_observed_at":"2026-08-05T05:40:06.116416Z","title":"Generative Pre-training for Subjective Tasks: A Diffusion Transformer-Based Framework for Facial Beauty Prediction","venue":"cs.CV","work_id":"8730e217-ed42-4e9d-b3d8-423ee2aeb7e5","year":2025},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.032537Z"},"links":{"cited_paper":"/paper/2507.20363","citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:e27f00a0de2e6e9851347353d0b643a0c711af5937c44b93ddde11093f50f587","observation_id":"9a2b2066-7419-47f1-91d7-49600b907d99","resolution":{"observed_at":"2026-08-05T05:40:06.190512Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:08.647368Z","title":"Vision transformers for image classification: A comparative survey","venue":null,"work_id":"b3065a59-1132-40ce-ad38-475d7828a2cc","year":2025},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.138821Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:c643afe28e01f538783dee693402d2828cdb94c4108955ae3c3f4c06139d1bff","observation_id":"9ba958ac-1408-48a3-a957-846847e2335b","resolution":{"observed_at":"2026-08-05T05:40:08.774177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:08.400857Z","title":"MobileViT architecture for Facial Beauty Prediction","venue":null,"work_id":"812e359e-65c6-4c96-bfd5-ecd0364feefc","year":2024},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.242133Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:da84d6d9935708fee9db44b39cb37e01017b97fee1ce14aa537e199aad76c1f7","observation_id":"6f2af500-b291-4033-8e87-181cbc9ba86b","resolution":{"observed_at":"2026-08-05T05:40:08.524453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:08.118384Z","title":"Facial Beauty Prediction Based on Vision Transformer","venue":null,"work_id":"9f0241aa-ce96-4f8b-8cfb-707aeed34774","year":2023},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.346984Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:eb2f81437ee32dddb7d3cf14fec661867a6c202eb2a0173ded8d85bfe810b715","observation_id":"44f059ba-341c-4f31-9754-435df6e89c34","resolution":{"observed_at":"2026-08-05T05:40:08.247472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:07.344681Z","title":"Liang, L","venue":null,"work_id":"dc922973-fa9f-40a2-9663-c7d9752c37df","year":2018},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.404165Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:ce3b98a0ef839d560210791c51f57fc5c7ec458984bb84320aefa306fa840335","observation_id":"cd2806bd-56e1-466b-bcf5-3a7aa95b4e98","resolution":{"observed_at":"2026-08-05T05:40:07.989402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:06.981290Z","title":"Geometric prior guided hybrid deep neural network for facial beauty analysis","venue":null,"work_id":"9eef18cb-ecf3-4a6f-803a-6d9cd11a819b","year":2023},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.513811Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:1bff1855eec2267f0dddd5491cda05876301cadd1241c479c9b3c528b0bd9ccb","observation_id":"54f7b201-8882-44e4-a665-8addaa8b033a","resolution":{"observed_at":"2026-08-05T05:40:07.126150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:06.610579Z","title":"An Uncertainty-Aware and Explainable Deep Learning Model for Facial Beauty Prediction","venue":null,"work_id":"288269ea-63b9-428b-a886-61b8a077e06a","year":2025},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.623455Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:ba97d6482424e89a5dae8618b416cab58b10e04b46827d9d3a30d13c281d2fba","observation_id":"6fb9d637-5295-4e75-ac0d-a22b9a81b07d","resolution":{"observed_at":"2026-08-05T05:40:06.807750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.01431","last_updated":"2025-09-01T12:42:04Z","snapshot_observed_at":"2026-08-08T21:33:14.174369Z","submitted_at":"2025-09-01T12:42:04Z","title":"Mamba-CNN: A Hybrid Architecture for Efficient and Accurate Facial Beauty Prediction","version":1},"cited_work":{"arxiv_id":"2509.01431","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.01431","snapshot_observed_at":"2026-08-05T05:40:05.964982Z","title":"Mamba-CNN: A Hybrid Architecture for Efficient and Accurate Facial Beauty Prediction","venue":"cs.CV","work_id":"a061060f-b927-4da0-8d8c-43c917e0c72b","year":2025},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.682562Z"},"links":{"cited_paper":"/paper/2509.01431","citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:136e3adf9f9b74ffb50896c2549d8b38318a6383c435ed4e77187d8bb4262d9f","observation_id":"24b11d9f-12c6-4274-b777-95dce0ad18a1","resolution":{"observed_at":"2026-08-05T05:40:06.020552Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:06.387001Z","title":"Personalized facial beauty assessment: a meta-learning approach","venue":null,"work_id":"5d31d31c-1c3d-4ad4-8c57-cc1daabcd542","year":2023},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.769086Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:79328994e5a7e9befc4f08b3ad5e578e5b930b0c8bc3e801f24cd85c3952b0f1","observation_id":"090942cb-29ad-452a-8843-42896b0b42bc","resolution":{"observed_at":"2026-08-05T05:40:06.459180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-05T05:40:06.269541Z","title":"Improving Facial Attractiveness Prediction via Co-attention Learning,","venue":null,"work_id":"1db3a022-30e9-4698-b907-bc73aefb92d2","year":2019},"citing_paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:05.834425Z"},"links":{"citing_paper":"/paper/2509.05078"},"observation_digest":"sha256:b38f4317597e17a0aab52c85666fa3914984e4bb459c4547612b6f61e689bc20","observation_id":"bccc4ac0-7444-4c43-a673-c06a073a7392","resolution":{"observed_at":"2026-08-05T05:40:06.312065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.05078","last_updated":"2025-09-05T13:16:55Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T05:40:02.841439Z","submitted_at":"2025-09-05T13:16:55Z","title":"Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":32},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2509.05078."}