{"as_of":"2026-08-12T03:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9bc3c220f9b80ec026fa713f34e5c97909f20b32fab86a03e01f2671c1b4d674","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T12:37:07.335209Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T05:40:05.682562Z","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":"2026-08-05T05:40:05.964982Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"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"}}],"links":{"evidence":"/evidence","html":"/paper/2509.01431/citation-record","integrity":"/paper/2509.01431/integrity","json":"/paper/2509.01431/citation-record.json","paper":"/paper/2509.01431"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:37:07.169253Z","title":"Zhang, F","venue":null,"work_id":null,"year":2016},"citing_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},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.169253Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:c17618625557c27e0266f1f14561361a44f31d3772cf323cd1e4673ffdeca9ef","observation_id":"9ec1de99-fd27-4fd2-a7bf-77c5eb47e118","resolution":{"observed_at":"2026-08-05T12:37:07.169253Z","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":"2026-08-05T12:37:07.174452Z","title":"Ranking facial attractiveness,","venue":null,"work_id":null,"year":2005},"citing_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},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.174452Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:c4405e73136c5a0573d22b1246c9ff18a620eeef91dd1d21510663ca67cadbfc","observation_id":"dfbc164a-8cd7-46d1-92e5-a477cc9ee8d9","resolution":{"observed_at":"2026-08-05T12:37:07.174452Z","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":"2026-08-05T12:37:07.792473Z","title":"A comprehensive review of facial beauty prediction using deep learning techniques","venue":null,"work_id":"7e5bd2fd-164c-4e2d-865d-4db48275b0de","year":2025},"citing_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},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.179569Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:36b683f8cb9ad3bd5a19b04db49a860f0670490ddd14b13c4e1bcd7a79bd3ea4","observation_id":"722f21ea-b778-40b9-baf3-1043128b76cd","resolution":{"observed_at":"2026-08-05T12:37:07.800747Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:37:07.184698Z","title":null,"venue":null,"work_id":null,"year":null},"citing_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},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.184698Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:b612204d79b7c8bba6e812705951049be98c15a783dfdebbb6f6956275687b47","observation_id":"3468be90-91f6-409f-a503-b51f082da000","resolution":{"observed_at":"2026-08-05T12:37:07.184698Z","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":"2026-08-05T12:37:07.762554Z","title":"EEE Access, vol","venue":null,"work_id":"a76d1aef-8319-4503-9f8d-d09b77b5b7b9","year":2020},"citing_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},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.190514Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:eef888445d7320862e8b5ae1ab600a64bd6678244920e3c7d88d32a3e56b3c36","observation_id":"9b882f61-de19-482d-86c6-eae2eff6fc7b","resolution":{"observed_at":"2026-08-05T12:37:07.767845Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:37:07.195253Z","title":"Transfer learning adaptive facial attractiveness assessment","venue":null,"work_id":null,"year":1922},"citing_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},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.195253Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:0d831fd90902356c75c4460bd9bb9991806a05ccaa036fa8286c6ddeb53d116c","observation_id":"a0152dc4-1ec5-4981-89db-d7ddabbcb2aa","resolution":{"observed_at":"2026-08-05T12:37:07.195253Z","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":"2026-08-05T12:37:07.200892Z","title":"The role of the golden proportion in the evaluation of facial esthetics","venue":null,"work_id":null,"year":2013},"citing_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},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.200892Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:7279c1107878d85b9b53dbeff8030303c7308e9e1dc65e2ef5cd447ce16cd84a","observation_id":"a3b48899-ce2d-4aa2-b136-272ca9f36e02","resolution":{"observed_at":"2026-08-05T12:37:07.200892Z","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":"2026-08-05T12:37:07.207047Z","title":"Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios","venue":null,"work_id":null,"year":2008},"citing_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},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.207047Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:687d588a0b9324f3a6b55ae2d79f11333f9aba72b28dddb5ff716dc9859e7f93","observation_id":"811ee8a6-cfee-4447-9fcf-37cde29660d2","resolution":{"observed_at":"2026-08-05T12:37:07.207047Z","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":"2026-08-05T12:37:07.214058Z","title":"Facial Beauty Prediction Using an Ensemble of Deep Convolutional Neural Networks","venue":null,"work_id":null,"year":2023},"citing_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},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.214058Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:d29e05be8d9f5d3beb04ea3febba5c2541871ad5727ba79f70b7ac9d935d7bb4","observation_id":"6b0626ea-5190-4aec-93ad-f9a44b4b1cc3","resolution":{"observed_at":"2026-08-05T12:37:07.214058Z","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":"2026-08-05T12:37:07.698192Z","title":"SCAT: The Self-Correcting Aesthetic Transformer for Explainable Facial Beauty Prediction","venue":null,"work_id":"da388135-0bb1-4ba5-830b-2a603f86e6d0","year":2025},"citing_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},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.219046Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:048d734ddfa59fa57f3b9e7bb9d37f534098c7c1ec6cf5c4e2e69126ed31e2ef","observation_id":"d8dadf04-031f-4d35-8afb-2eb6ef520cf3","resolution":{"observed_at":"2026-08-05T12:37:07.703672Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:37:07.224603Z","title":"Imagenet classification with deep convolutional neural networks","venue":null,"work_id":null,"year":2012},"citing_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},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.224603Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:99bd315d1eaa7352d6458d093086bc1faae29fa582fe73ec7a34a635bea9cbab","observation_id":"f218dcbd-548e-4af2-becb-05aa2fc9a1cf","resolution":{"observed_at":"2026-08-05T12:37:07.224603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-10T22:24:05.831832Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-05T12:37:07.229383Z","title":"Very deep convolutional networks for large-scale image recognition","venue":null,"work_id":null,"year":2014},"citing_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},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.229383Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:7ce755788bcbd8214dd9fd50e0a3d1d313dc9b6cabf310a5b8d077798ebc9c4a","observation_id":"847a3996-ece3-4558-b236-e812d856f014","resolution":{"observed_at":"2026-08-05T12:37:07.229383Z","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":"2026-08-05T12:37:07.235348Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_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},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.235348Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:0137a3ce269605edbd1f53a8267c60ab596f54eeaf12cf62fc358f69deb0ad91","observation_id":"cf65757d-64af-4b3b-9f02-3a1ade6c2aa8","resolution":{"observed_at":"2026-08-05T12:37:07.235348Z","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":"2026-08-05T12:37:07.654216Z","title":"IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, pp","venue":null,"work_id":"41d6e6f6-ecb4-4697-aaf9-2b7809bd098a","year":2015},"citing_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},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.240033Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:b1c1da7c6cd9175f93e16fc647732fe6a12df7ea23dc40b8940ddb3766a25f3e","observation_id":"2fafcf9c-2f51-418d-9b4b-5c1b16645abc","resolution":{"observed_at":"2026-08-05T12:37:07.659403Z","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":"2026-08-05T12:37:07.244429Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.01431","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},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.244429Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:18227ca883991bbc34fae3c0b913010b2fd89e977838d95234c30d1e4a12afb8","observation_id":"bba54c6d-bfc0-45ce-b4f1-e5495edb9275","resolution":{"observed_at":"2026-08-05T12:37:07.244429Z","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":"2026-08-05T12:37:07.248795Z","title":"Facial Beauty Prediction Based on Vision Transformer","venue":null,"work_id":null,"year":2023},"citing_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},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.248795Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:c50a3807db33b69289b4af48ea056f85a4fb82d1edfadc282b938c6c1eabb4fc","observation_id":"6d02d803-b94f-49a8-b195-02fa036954b1","resolution":{"observed_at":"2026-08-05T12:37:07.248795Z","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":"2026-08-05T12:37:07.253212Z","title":"Vision transformers for image classification: A comparative survey","venue":null,"work_id":null,"year":2025},"citing_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},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.253212Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:60dd44101a85660408c8418f94f50281139daf1d982a02ea203204876af0a7f0","observation_id":"a2beb064-f605-48a6-8136-125d6d9b2a19","resolution":{"observed_at":"2026-08-05T12:37:07.253212Z","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":"2026-08-05T12:37:07.257706Z","title":"Facial Beauty Prediction Using Global Context Vision Transformer,","venue":null,"work_id":null,"year":2025},"citing_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},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.257706Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:0c27a64d5680755197a695f398f1e622fc0f2d96bfacfb1b2242dde5251f0c10","observation_id":"f5badca5-1bc0-493b-9a35-bbbf80fb0093","resolution":{"observed_at":"2026-08-05T12:37:07.257706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-05T12:37:07.264088Z","title":"Mamba: Linear-time sequence modeling with selective state spaces","venue":null,"work_id":null,"year":2023},"citing_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},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.264088Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:7440ed4252381193df3b71ace6465dd2436ad643b82a22ff47b321042ae2c26d","observation_id":"43d07c4a-587b-417b-9cf8-4f70de416ca7","resolution":{"observed_at":"2026-08-05T12:37:07.264088Z","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":"2026-08-05T12:37:07.604810Z","title":"A survey on visual mamba","venue":null,"work_id":"9718a48f-7b34-4b2b-9326-e669f9e3a876","year":2024},"citing_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},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.275197Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:b26695ffa353fa72b64232234f0c9c3146354522675654560f89c9d0f7d263bc","observation_id":"58bfbd18-f120-401e-8afa-6e80b5ee111f","resolution":{"observed_at":"2026-08-05T12:37:07.609905Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:37:07.282281Z","title":"Liang, L","venue":null,"work_id":null,"year":2018},"citing_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},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.282281Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:afb57bea6138f6c25575cbdbb3cc3553a29aba4867aafe86a430e224a99fbb06","observation_id":"91a6a1ee-8905-41bf-9c1b-f82150cb1d25","resolution":{"observed_at":"2026-08-05T12:37:07.282281Z","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":"2026-08-05T12:37:07.289863Z","title":"An Uncertainty-Aware and Explainable Deep Learning Model for Facial Beauty Prediction","venue":null,"work_id":null,"year":2025},"citing_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},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.289863Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:ce6208be7afb55b6ac9575129dff1f1b4ddf87b8c1e024f9f73659f9cf9e5280","observation_id":"e64ebefc-0cdf-4db8-b365-9d7feeb7e925","resolution":{"observed_at":"2026-08-05T12:37:07.289863Z","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":"2026-08-05T12:37:07.297482Z","title":"Personalized facial beauty assessment: a meta-learning approach","venue":null,"work_id":null,"year":2023},"citing_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},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.297482Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:690ee591f7b94eca9511f9ac0d10bfa0d581512ea300aa9b748e322d47cfa65c","observation_id":"f345dd29-5dd1-4d3a-b9c8-ee17e5df5529","resolution":{"observed_at":"2026-08-05T12:37:07.297482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-05T12:37:07.303907Z","title":"Fixing weight decay regularization in adam","venue":null,"work_id":null,"year":2017},"citing_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},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.303907Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:d511686ccfcf2cea7cd75c0f312a15a4a6bce0e08873e1b1c0aa829bc4cc16ba","observation_id":"51179cf4-aa18-4aed-b7c5-a21c8acdf779","resolution":{"observed_at":"2026-08-05T12:37:07.303907Z","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":"2026-08-05T12:37:07.310335Z","title":"MobileViT architecture for Facial Beauty Prediction","venue":null,"work_id":null,"year":2024},"citing_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},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.310335Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:e387afeabf36519d4e77ae63193668eeafa89a0ab183616e13a7701a138369ea","observation_id":"c570a523-0bbf-462c-a5aa-3a7396d2dc05","resolution":{"observed_at":"2026-08-05T12:37:07.310335Z","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":"2026-08-05T12:37:07.534097Z","title":"Improving Facial Attractiveness Prediction via Co-attention Learning,","venue":null,"work_id":"a5bed5b2-4539-4b18-97e8-5e2e1098dd74","year":2019},"citing_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},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.316532Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:797edef5bacb9e2567b083a86f01227b710eda76a619b0dd54ead67ca48d4885","observation_id":"aea8090c-26bf-4f9c-9f93-fffa89ccc7c8","resolution":{"observed_at":"2026-08-05T12:37:07.539953Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:37:07.321117Z","title":"Cao, K Choi, H Jung et al., Deep learning for facial beauty prediction","venue":null,"work_id":null,"year":2020},"citing_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},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.321117Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:fab2eef76dab5f6be10f43d758aed8a86ebdbe4fee74a7a05adb04ae790e99ed","observation_id":"11d59274-3fdb-4dbc-8405-cade8730bca5","resolution":{"observed_at":"2026-08-05T12:37:07.321117Z","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":"2026-08-05T12:37:07.494903Z","title":"Label distribution-based facial attractiveness computation by deep residual learning","venue":null,"work_id":"dc1e2894-c3c1-493c-bb2c-ef20d643ba5f","year":2017},"citing_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},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.325874Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:01392b11b3e502eed7d87ab29c14b57a1356bfb2574a905813758161e67c0ae1","observation_id":"b616d26b-6c0b-4f58-9d95-ea84257f1f89","resolution":{"observed_at":"2026-08-05T12:37:07.500972Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:37:07.330643Z","title":"Dynamic attentive convolution for facial beauty prediction","venue":null,"work_id":null,"year":2024},"citing_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},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.330643Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:fbffbedea2c673fc20b938519c595482464365fa4bf5b4bdbb0c57de96b87053","observation_id":"c905268b-4774-4805-affb-328feed525a7","resolution":{"observed_at":"2026-08-05T12:37:07.330643Z","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":"2026-08-05T12:37:07.455645Z","title":"Regression Guided by Relative Ranking Using Convolutional Neural Network (R3CNN) for Facial Beauty Prediction","venue":null,"work_id":"751a7ca6-4390-4ad2-8bb6-ab8ea4899a7b","year":2019},"citing_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},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T12:37:07.335209Z"},"links":{"citing_paper":"/paper/2509.01431"},"observation_digest":"sha256:63bb3e8efdd01adbded2562896a75e5294f4bd94b39da98cca0f952ca110f667","observation_id":"d052975d-3b98-4d0c-a30e-62583f8be71b","resolution":{"observed_at":"2026-08-05T12:37:07.463776Z","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":"2509.01431","last_updated":"2025-09-01T12:42:04Z","latest_version":1,"primary_category":"cs.CV","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"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":30},"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 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2509.01431."}