{"as_of":"2026-08-13T23:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84e26f1e5b018e97fccc454a2830010e8a2023140808fe613e69da3a44e6044e","coverage":[{"denominator":107,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:33:58.588182Z","state":"measured"},{"denominator":106,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":106,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:12:20.913011Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-20T11:08:13.326459Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.24214","snapshot_observed_at":"2026-08-06T20:12:20.913011Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.03541","last_updated":"2025-08-08T21:43:22Z","snapshot_observed_at":"2026-08-13T21:28:54.144757Z","submitted_at":"2025-07-04T12:46:45Z","title":"Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:12:20.913011Z"},"links":{"cited_paper":"/paper/2505.24214","citing_paper":"/paper/2507.03541"},"observation_digest":"sha256:253bb5708d7580d953764fe67a1fd2fd1c3e04c11ebe5a54129c046fb14dbc78","observation_id":"cae588d5-5aaf-4fe7-ba9b-8cc8d7570f64","resolution":{"observed_at":"2026-08-06T20:12:20.913011Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"cited_work":{"arxiv_id":"2505.24214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24214","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Benchmarking foundation models for zero-shot biometric tasks","venue":null,"work_id":"e4b2e03a-d9a3-4d4a-8b4f-bea2cf7e2579","year":2025},"citing_paper":{"arxiv_id":"2512.18073","last_updated":"2026-04-13T16:17:11Z","snapshot_observed_at":"2026-08-12T09:13:52.470940Z","submitted_at":"2025-12-19T21:23:57Z","title":"FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-16T20:27:40.572994Z"},"links":{"cited_paper":"/paper/2505.24214","citing_paper":"/paper/2512.18073"},"observation_digest":"sha256:c8e1c8651c943435bd4e9c38e50803541e529369c77fbfd1ccef3c1cb721143c","observation_id":"ca7cbeb0-0df1-462e-b153-db7ab29f2760","resolution":{"observed_at":"2026-05-16T20:28:23.891440Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"cited_work":{"arxiv_id":"2505.24214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24214","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Benchmarking foundation models for zero-shot biometric tasks","venue":null,"work_id":"e4b2e03a-d9a3-4d4a-8b4f-bea2cf7e2579","year":2025},"citing_paper":{"arxiv_id":"2603.17859","last_updated":"2026-05-07T16:01:34Z","snapshot_observed_at":"2026-08-11T13:02:01.498493Z","submitted_at":"2026-03-18T15:45:33Z","title":"VISER: Visually-Informed System for Enhanced Robustness in Open-Set Iris Presentation Attack Detection","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-15T09:39:40.579712Z"},"links":{"cited_paper":"/paper/2505.24214","citing_paper":"/paper/2603.17859"},"observation_digest":"sha256:aff45a3f87575e170387ae5c1f492bad2e3a837cd6926258fcded084183cea27","observation_id":"f8d0f0cd-a880-45f3-aff5-97508948d9ea","resolution":{"observed_at":"2026-05-15T09:39:54.292465Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.24214","snapshot_observed_at":"2026-07-13T22:55:21.490267Z","title":"Benchmarking foun- dation models for zero-shot biometric tasks.arXiv preprint arXiv:2505.24214, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.17863","last_updated":"2026-06-28T12:57:33Z","snapshot_observed_at":"2026-08-11T03:40:52.522859Z","submitted_at":"2026-03-18T15:49:32Z","title":"DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-13T22:55:21.490267Z"},"links":{"cited_paper":"/paper/2505.24214","citing_paper":"/paper/2603.17863"},"observation_digest":"sha256:4c3ee05ebc21202239b93bd947a2a3c32c0c7d20546f9fde6abcd36cc6bf793f","observation_id":"1e3e2abc-ee62-4313-9d00-eb3fd727960f","resolution":{"observed_at":"2026-07-13T22:55:21.490267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"cited_work":{"arxiv_id":"2505.24214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24214","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Benchmarking foundation models for zero-shot biometric tasks","venue":null,"work_id":"e4b2e03a-d9a3-4d4a-8b4f-bea2cf7e2579","year":2025},"citing_paper":{"arxiv_id":"2604.07282","last_updated":"2026-08-09T06:10:23Z","snapshot_observed_at":"2026-08-13T23:27:35.376188Z","submitted_at":"2026-04-08T16:44:42Z","title":"Compatibility of Face Embeddings Across Deep Neural Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T18:26:52.335249Z"},"links":{"cited_paper":"/paper/2505.24214","citing_paper":"/paper/2604.07282"},"observation_digest":"sha256:01dfcbaa2bd779b24354489b5ededd2016de4c33d12596f42d396ac584a5122d","observation_id":"0249476f-e644-4d13-87f3-6b4094bbad62","resolution":{"observed_at":"2026-05-11T00:35:50.298147Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"cited_work":{"arxiv_id":"2505.24214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24214","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Benchmarking foundation models for zero-shot biometric tasks","venue":null,"work_id":"e4b2e03a-d9a3-4d4a-8b4f-bea2cf7e2579","year":2025},"citing_paper":{"arxiv_id":"2605.19020","last_updated":"2026-05-18T18:41:26Z","snapshot_observed_at":"2026-08-02T23:31:20.953951Z","submitted_at":"2026-05-18T18:41:26Z","title":"A Systematic Failure Analysis of Vision Foundation Models for Open Set Iris Presentation Attack Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T11:07:56.018916Z"},"links":{"cited_paper":"/paper/2505.24214","citing_paper":"/paper/2605.19020"},"observation_digest":"sha256:2c330504c6caf489f944681a216f2f3b9dce0d38e33215eba09704ef1145ff53","observation_id":"46327b79-6dba-4e5c-a708-5ec80bc20700","resolution":{"observed_at":"2026-05-20T11:08:13.328300Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.24214/citation-record","integrity":"/paper/2505.24214/integrity","json":"/paper/2505.24214/citation-record.json","paper":"/paper/2505.24214"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-07T12:33:49.674564Z","title":"On the Opportunities and Risks of Foundation Models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:49.674564Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:c011ff7db5090aceb7e469b2de5348385caa29bc6ca8d2bdbab155430fc5474d","observation_id":"cc1b102c-4107-4260-b7d7-a595d69ad781","resolution":{"observed_at":"2026-08-07T12:33:49.674564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T12:33:49.721079Z","title":"GPT-4 Technical Report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:49.721079Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:26f03fbc78b89080c2bc044e8683d3e056a5e5eadec39f502f537173e9d7080e","observation_id":"a0fe180e-cab5-46ee-952b-8a4150f9febf","resolution":{"observed_at":"2026-08-07T12:33:49.721079Z","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":"2026-08-07T12:33:49.801652Z","title":"Segment anything,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:49.801652Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:053e61b1f961f984a6da8f5358306084795b47b0c05863b8ab3d87e653bb1db8","observation_id":"b0d0e1c5-0911-4daf-82c4-488c42c5c369","resolution":{"observed_at":"2026-08-07T12:33:49.801652Z","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":"2026-08-07T12:33:49.924941Z","title":"Segment anything in medical images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:49.924941Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:4e967d3c45360fb82f1d7504c0daa4aa932f8556d00b1c9461d35b6eef06f921","observation_id":"2ac6559d-eec0-448c-a630-5b5b80d06942","resolution":{"observed_at":"2026-08-07T12:33:49.924941Z","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":"2026-08-07T12:33:50.017976Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.017976Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:3871de3037a0127ce2a89c087f4cfc701476beb6250241976909a6f8250da8cd","observation_id":"da471331-59ec-4c40-9d3e-6351a95c5b1e","resolution":{"observed_at":"2026-08-07T12:33:50.017976Z","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":"2026-08-07T12:33:50.134055Z","title":"Scaling up visual and vision-language representation learning with noisy text supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.134055Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:b71f98c5bd7321e9c8e18979c7850151a5d1e9b3aa64b1bdb91feb2925eb2104","observation_id":"1efe56c4-3302-47b2-b0c5-0e105bec51b5","resolution":{"observed_at":"2026-08-07T12:33:50.134055Z","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":"2026-08-07T12:33:50.227745Z","title":"BLIP: Bootstrapping Language- image Pre-training for Unified Vision-language Understanding and Generation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.227745Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:6f691406eae1cbd3c21d6155ce29e3643f0be5daebadb6290854ea96e2d6fe0c","observation_id":"979c8608-3414-4553-8dd4-400f7d7c13b3","resolution":{"observed_at":"2026-08-07T12:33:50.227745Z","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":"2026-08-07T12:33:50.324828Z","title":"BLIP-2: Bootstrapping Language- image Pre-training With Frozen Image Encoders and Large Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.324828Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:5cc94c47a01297282b213cd9c8236145809c75b48352230b8ba7a576eedadc79","observation_id":"21050c94-c4b8-46fc-bfa7-c1b97885d806","resolution":{"observed_at":"2026-08-07T12:33:50.324828Z","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":"2026-08-07T12:33:50.441595Z","title":"Flamingo: A visual language model for few-shot learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.441595Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:46a1068e6555cc929d2615695b3d43a97468c96dd2b2d02a6dd768161af2e512","observation_id":"04750ea3-ac6d-4343-8315-4a8ebde541b5","resolution":{"observed_at":"2026-08-07T12:33:50.441595Z","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":"2026-08-07T12:33:50.541581Z","title":"Improved Baselines With Visual Instruction Tuning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.541581Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:714f271dfb5f445df5566cd60ac38228136368b0b73fff889c0e1027a67b7314","observation_id":"50bf11c9-ff05-48d3-870a-26d3e12671f3","resolution":{"observed_at":"2026-08-07T12:33:50.541581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05525","last_updated":"2024-03-11T16:47:41Z","snapshot_observed_at":"2026-08-11T01:38:59.827005Z","submitted_at":"2024-03-08T18:46:00Z","title":"DeepSeek-VL: Towards Real-World Vision-Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05525","snapshot_observed_at":"2026-08-07T12:33:50.636033Z","title":"Deepseek-vl: towards real-world vision-language understanding,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.636033Z"},"links":{"cited_paper":"/paper/2403.05525","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:044002bc1f772ddf7460fb4fbe620f6fafe595a76e6970648d3c2535fac3680d","observation_id":"4604a79d-2625-4cea-bcd3-2f5b1063ed8e","resolution":{"observed_at":"2026-08-07T12:33:50.636033Z","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":"2026-08-07T12:33:50.742314Z","title":"Microsoft COCO: Common Objects in Context,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.742314Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:28e22a2d6829e26694db8aeb037c569cc41e04eca7711351a9199d8bfa9e008e","observation_id":"18ad1a2b-8b4c-4b37-9861-d8632cc1931a","resolution":{"observed_at":"2026-08-07T12:33:50.742314Z","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":"2026-08-07T12:33:50.817180Z","title":"Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.817180Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:787a3249acc5e8ec196fec96ad61a493582989c739a371f8ef8e543eb3d770a9","observation_id":"76bced12-092b-4775-b7a8-1db36753aca1","resolution":{"observed_at":"2026-08-07T12:33:50.817180Z","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":"2026-08-07T12:33:50.906927Z","title":"OK-VQA: A Visual Question Answering Benchmark Requiring External Knowl- edge,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.906927Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:9e3b0eb82195d3e3afe8bed1aa3d6e60e52673141a4ba674cd8c71d420671960","observation_id":"a68fd6aa-c5c2-495f-9fcb-2ec887040d20","resolution":{"observed_at":"2026-08-07T12:33:50.906927Z","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":"2026-08-07T12:33:50.986845Z","title":"VizWiz Grand Challenge: Answering Visual Questions from Blind People,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:50.986845Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:bc410a9ac93c6e7e2b99ea4599a1775a929eff94bc41f69e3ab192ba69a2cffa","observation_id":"e1386916-d73b-4963-a35b-564698b924e5","resolution":{"observed_at":"2026-08-07T12:33:50.986845Z","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":"2026-08-07T12:33:51.059900Z","title":"Glam: Efficient Scaling of Lan- guage Models With Mixture-of-experts,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.059900Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:3773a1ef514a871df62be365d133607b61d1ea95b9932e6250f49e6a72f6034f","observation_id":"a6cf1b28-f335-4f93-a764-9f0395973b13","resolution":{"observed_at":"2026-08-07T12:33:51.059900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.10302","last_updated":"2024-12-13T17:37:48Z","snapshot_observed_at":"2026-08-07T03:01:29.031129Z","submitted_at":"2024-12-13T17:37:48Z","title":"DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.10302","snapshot_observed_at":"2026-08-07T12:33:51.169005Z","title":"Deepseek-vl2: Mixture-of-experts vision- language models for advanced multimodal understanding,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.169005Z"},"links":{"cited_paper":"/paper/2412.10302","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:7f65aea486fb7f4fbc1849e83dd14e1eb179928f99fb5af7a42270f9945fbbb7","observation_id":"64fa0cc8-fc1c-485c-8071-28b05c44ac0d","resolution":{"observed_at":"2026-08-07T12:33:51.169005Z","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":"2026-08-07T12:33:51.266336Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.266336Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:c323b115ecd8dc5ec4bd95a654f3131b710b7db80de0e416cad00dc5bf9628b3","observation_id":"b633151c-3ec0-465b-89db-25d8c62c9f33","resolution":{"observed_at":"2026-08-07T12:33:51.266336Z","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":"2026-08-07T12:33:51.354074Z","title":"Graph of thoughts: Solving elaborate problems with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.354074Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:47c8e16866389851820f82314ab4bc8592b8ed93d099f5e6659c516c8c3e7ce6","observation_id":"f275a78f-0c2e-4c21-8fa5-291589da495d","resolution":{"observed_at":"2026-08-07T12:33:51.354074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11171","last_updated":"2023-03-07T17:57:37Z","snapshot_observed_at":"2026-07-06T12:50:22.773056Z","submitted_at":"2022-03-21T17:48:52Z","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11171","snapshot_observed_at":"2026-08-07T12:33:51.428824Z","title":"Self-consistency improves chain of thought reasoning in language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.428824Z"},"links":{"cited_paper":"/paper/2203.11171","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:97fa2cc812cc937d3921e60063497b5fee7f61d628c0cce9ae50f0606edd4a85","observation_id":"b7b45997-66b2-4d33-b226-b6474e5cd009","resolution":{"observed_at":"2026-08-07T12:33:51.428824Z","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":"2026-08-07T12:33:51.542480Z","title":"Retrieval- augmented Generation for Knowledge-intensive NLP Tasks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.542480Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:ba9b75c53c0c51d54254112a4b34d164e115e9fe581546712462f44658ef4676","observation_id":"f397d71d-0c37-4c96-b549-c70ba4c5458a","resolution":{"observed_at":"2026-08-07T12:33:51.542480Z","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":"2026-08-07T12:33:51.646466Z","title":"Language Mod- els are Few-shot Learners,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.646466Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:adcea7cbf7f485bd9f744beccc71fc9e9a1c9e18fabd892e8d5e9a65d82f0c0e","observation_id":"61be7be4-3ec0-43d4-8e91-2fd14e996b35","resolution":{"observed_at":"2026-08-07T12:33:51.646466Z","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":"2026-08-07T12:33:51.779041Z","title":"Multitask prompted training enables zero-shot task generalization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.779041Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:c2b5cd6830606c089d96fd5dc115c1865cc2ac7d7826709327b853fc9a8509a3","observation_id":"3a973b2c-dbd9-4c94-afa9-0994870a51e8","resolution":{"observed_at":"2026-08-07T12:33:51.779041Z","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":"2026-08-07T12:33:51.912176Z","title":"Scaling Instruction-finetuned Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:51.912176Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:edef732a19e7efa5820fcc861c3aa026bee267c48a7517821d2d2152c377ad91","observation_id":"bd945039-87e1-4b8c-b8ae-055f9f1b3c9c","resolution":{"observed_at":"2026-08-07T12:33:51.912176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09818","last_updated":"2025-03-21T05:54:00Z","snapshot_observed_at":"2026-08-12T11:54:14.007649Z","submitted_at":"2024-05-16T05:23:41Z","title":"Chameleon: Mixed-Modal Early-Fusion Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09818","snapshot_observed_at":"2026-08-07T12:33:52.023354Z","title":"Chameleon: Mixed-modal early-fusion foundation models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.023354Z"},"links":{"cited_paper":"/paper/2405.09818","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:6133aa750925fe25665533949c2a1b159cc667d1bd261c746715a85bc21b90a0","observation_id":"a6c4abe5-0602-42f9-b86e-b71dc1e589be","resolution":{"observed_at":"2026-08-07T12:33:52.023354Z","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":"2026-08-07T12:33:52.135123Z","title":"Training Language Models to Follow Instructions With Human Feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.135123Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:2e931eff9be03618f48c7527ddef53319bb21a3934ce9cabc7e0860d3ff2fb6b","observation_id":"adc0ea38-156d-45bb-a631-b55418ccb8db","resolution":{"observed_at":"2026-08-07T12:33:52.135123Z","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":"2026-08-07T12:33:52.246638Z","title":"Lora: Low-rank Adaptation of Large Language Models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.246638Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:b18947eaa79e6a6e43a4de9c4f4b3e3fe729ecdcfe3062c5b77de833cde665ca","observation_id":"3c202fd3-768c-4b92-8c43-01e37f957738","resolution":{"observed_at":"2026-08-07T12:33:52.246638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08691","last_updated":"2021-09-02T17:34:41Z","snapshot_observed_at":"2026-08-06T15:24:34.790850Z","submitted_at":"2021-04-18T03:19:26Z","title":"The Power of Scale for Parameter-Efficient Prompt Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08691","snapshot_observed_at":"2026-08-07T12:33:52.342597Z","title":"The Power of Scale for Parameter-efficient Prompt Tuning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.342597Z"},"links":{"cited_paper":"/paper/2104.08691","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:5dbd1af7af39f5f71d5da15e693ce05fbb92fe1cc9a6acf4e3137832ca99ea69","observation_id":"c655d95e-7875-45fd-b5f9-1cda3ace99f4","resolution":{"observed_at":"2026-08-07T12:33:52.342597Z","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":"2026-08-07T12:33:52.423803Z","title":"Iris-SAM: Iris segmentation using a foundation model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.423803Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:45232d65bed33dffece693100ab37b5a3aa0d11518fcc96ca9515672afc766be","observation_id":"cfdb1870-563d-4278-b3f4-f55483e6d9ce","resolution":{"observed_at":"2026-08-07T12:33:52.423803Z","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":"2026-08-07T12:33:52.508676Z","title":"ChatGPT meets iris biometrics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.508676Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:4c31ca7ec5d30f6524b4d9fb182a23f490f19139f1ff9454822af91c5aebeb96","observation_id":"ef5716dc-8382-4d35-b9ce-711fac06e892","resolution":{"observed_at":"2026-08-07T12:33:52.508676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-11T10:12:11.384939Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-07T12:33:52.655874Z","title":"Dinov2: Learning Robust Visual Features Without Supervision,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.655874Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:50a119f1724d8998b0402a34fa29121bc30a7e6ae4fad90056c6212c6081b022","observation_id":"79a885ca-ca2e-46da-ad36-6cb32e3bbdb8","resolution":{"observed_at":"2026-08-07T12:33:52.655874Z","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":"2026-08-07T12:33:52.757733Z","title":"Froundation: Are foundation models ready for face recognition?","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.757733Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:2a829a01968487fa65a169e8dc0087c45847654cad93ac07e024245ebe47a596","observation_id":"303a441b-7f0c-4d4a-a330-2f3d6ab85449","resolution":{"observed_at":"2026-08-07T12:33:52.757733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10729","last_updated":"2025-01-16T16:04:07Z","snapshot_observed_at":"2026-08-12T23:41:59.006327Z","submitted_at":"2024-06-15T20:04:06Z","title":"A Comprehensive Survey of Foundation Models in Medicine","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10729","snapshot_observed_at":"2026-08-07T12:33:52.841436Z","title":"A comprehensive survey of foundation models in medicine,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.841436Z"},"links":{"cited_paper":"/paper/2406.10729","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:106c086b44cfa3a8a771e0cda1d47c966028eb960e41917b4cd0de2de8a093c1","observation_id":"5dce114b-7b74-4f60-a2e1-7637cc3a6d4a","resolution":{"observed_at":"2026-08-07T12:33:52.841436Z","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":"2026-08-07T12:33:52.942289Z","title":"Biomedical foundation model: A survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:52.942289Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:cd156db30673d5ae42143be8a77d4ac34940f68e271ad9fcd84c5f15e0f60f6d","observation_id":"e27750fe-a264-4f03-835c-d3d1e11edcfe","resolution":{"observed_at":"2026-08-07T12:33:52.942289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18689","last_updated":"2023-10-28T12:08:12Z","snapshot_observed_at":"2026-08-13T05:38:32.444743Z","submitted_at":"2023-10-28T12:08:12Z","title":"Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18689","snapshot_observed_at":"2026-08-07T12:33:53.075091Z","title":"Foundational models in medical imaging: A compre- hensive survey and future vision,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.075091Z"},"links":{"cited_paper":"/paper/2310.18689","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:5488b6feaeb73abb70e80bd90f5da8dd7e0559f57bc16b30e36f40558645bdc1","observation_id":"33d28018-de08-4315-b741-c0babbbb43f7","resolution":{"observed_at":"2026-08-07T12:33:53.075091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09419","last_updated":"2023-05-01T07:48:05Z","snapshot_observed_at":"2026-08-13T12:42:11.314753Z","submitted_at":"2023-02-18T20:51:09Z","title":"A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09419","snapshot_observed_at":"2026-08-07T12:33:53.149199Z","title":"A comprehensive survey on pretrained foundation models: A history from BERT to ChatGPT","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.149199Z"},"links":{"cited_paper":"/paper/2302.09419","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:4696335e2f4b5cf5e207b9bc240274084e10a6534853348d931e210950da95af","observation_id":"942d2ddc-339a-4149-b90c-ba4bda02669e","resolution":{"observed_at":"2026-08-07T12:33:53.149199Z","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":"2026-08-07T12:33:53.260858Z","title":"Foundation models defining a new era in vision: a survey and outlook,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.260858Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:4ec869c948e09a968fc3dba35981064b30966b1575c0c5aaadb830794e1d5461","observation_id":"097aef46-32a8-4afd-883b-1291bf64cbde","resolution":{"observed_at":"2026-08-07T12:33:53.260858Z","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":"2026-08-07T12:33:53.392878Z","title":"Vision-language models for vision tasks: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.392878Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:bae1098768e2a9a430513e75461514f0d717a3c430def474cbaf547aaae97691","observation_id":"c6824bc5-c6f0-4f19-8793-263ecda214cc","resolution":{"observed_at":"2026-08-07T12:33:53.392878Z","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":"2026-08-07T12:33:53.503888Z","title":"Multimodal large language models: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.503888Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:d42029b9224a711cb9c49d40a3450642fa31ef79f23ec307d65c9311c19e0654","observation_id":"78458ba2-76c3-442d-a0eb-5e06cdc39704","resolution":{"observed_at":"2026-08-07T12:33:53.503888Z","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":"2026-08-07T12:33:53.602167Z","title":"A survey of multimodel large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.602167Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:b422d673bc4608a68ce208b712d023ae7950d185dcb3b211763f08596ed664e2","observation_id":"b60aed5f-4d5a-41ec-a54c-9e7e21066ac7","resolution":{"observed_at":"2026-08-07T12:33:53.602167Z","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":"2026-08-07T12:33:53.711684Z","title":"Exploring the frontier of vision-language models: A survey of current methodologies and future directions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.711684Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:50700f48549957f499771d85d82ef669bce1746f516a109d538d444e33fc0786","observation_id":"fb421f06-751b-4774-a53f-03c80102a9c9","resolution":{"observed_at":"2026-08-07T12:33:53.711684Z","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":"2026-08-07T12:34:10.393202Z","title":"Unleashing the potential of prompt engineering for large language models,","venue":null,"work_id":"e1d75f7d-4655-4f6c-babf-506572ba0214","year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.792057Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:4fc7237164a1bdf768ad8b8740f332b54541ac2a4d54720e660240d1839e970d","observation_id":"52db14e2-f999-42f4-9350-1f7c403f042a","resolution":{"observed_at":"2026-08-07T12:34:10.467110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12960","last_updated":"2025-03-10T17:08:19Z","snapshot_observed_at":"2026-08-13T00:50:05.841672Z","submitted_at":"2024-03-19T17:58:04Z","title":"FaceXFormer: A Unified Transformer for Facial Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12960","snapshot_observed_at":"2026-08-07T12:33:53.917676Z","title":"Facex- former: A unified transformer for facial analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:53.917676Z"},"links":{"cited_paper":"/paper/2403.12960","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:a7f80f5af19009471080ba9d6a4e1ba8ed99633e0dbe13d5c7ab9946013e45b0","observation_id":"b3eda719-3c14-4d2f-9f80-b30db19febfb","resolution":{"observed_at":"2026-08-07T12:33:53.917676Z","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":"2026-08-07T12:34:10.225793Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":"240b402f-e215-4e39-8cf1-99813327f719","year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.003956Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:5b9a3b1b9ff5034a70273cb229b495e927682a379ccf2b5dc2bb955366741220","observation_id":"8090335a-0d72-4d65-a8c4-083b89599d33","resolution":{"observed_at":"2026-08-07T12:34:10.297239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:33:54.104918Z","title":"Foundation models and biometrics: A survey and outlook,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.104918Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:9c6a95aa6763bbb38ceeda86b92d0a45b85d6732c0b184e161fca184e2802b4b","observation_id":"99427402-a4b1-46fa-82d0-b14d81385a09","resolution":{"observed_at":"2026-08-07T12:33:54.104918Z","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":"2026-08-07T12:34:10.057024Z","title":"Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning ,","venue":null,"work_id":"832dc03d-9752-4222-8705-f03a73f37ecf","year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.201186Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:5946e800c4b8dc92e8ba2dc17684a3c3f65f00a279f3d7a750daf808edfaa068","observation_id":"c698e61e-b092-49ce-8e48-18b388d3ec77","resolution":{"observed_at":"2026-08-07T12:34:10.140772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15332","last_updated":"2025-05-21T10:05:19Z","snapshot_observed_at":"2026-08-11T20:22:10.574024Z","submitted_at":"2025-05-21T10:05:19Z","title":"Towards Zero-Shot Differential Morphing Attack Detection with Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.15332","snapshot_observed_at":"2026-08-07T12:33:54.312611Z","title":"Towards zero-shot differential morphing attack detection with multimodal large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.312611Z"},"links":{"cited_paper":"/paper/2505.15332","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:975ab4fc8a1044bde995a0b2e008fbb2e594d333997c95c444c4c524ed27a140","observation_id":"eaf7a270-839c-49d0-9578-1d833e737997","resolution":{"observed_at":"2026-08-07T12:33:54.312611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-07T12:33:54.389421Z","title":"Gemini: A family of highly capable multimodal models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.389421Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:9883007053645cc8e9368a7370e60ee99c6cfc5ad7e707c22e1628a540acda78","observation_id":"0a62eb46-4819-427f-ac40-d54b91424f0a","resolution":{"observed_at":"2026-08-07T12:33:54.389421Z","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":"2026-08-07T12:34:09.924565Z","title":"Iris recognition with off-the-shelf CNN features: A deep learning perspective,","venue":null,"work_id":"c68f01ab-f0fb-4165-be5e-373601ee8d15","year":2017},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.506092Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:e8a235f35ae0a59f03afeaa42f539f6b1c15508c712d5f1a2cad050dbc9cf544","observation_id":"54abbb25-738a-4edc-889d-c6db858de8a3","resolution":{"observed_at":"2026-08-07T12:34:09.976404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:09.793461Z","title":"Grother, M","venue":null,"work_id":"b07316d7-1df9-4fa4-8869-c44e3b8afb33","year":2019},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.587411Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:a6ccea4997097da14d5ad40b9a57bddf4969475cea50a8fbd3a88c6cb7121e84","observation_id":"ca9e034d-5768-4b6a-933b-7f9a2e0dd91b","resolution":{"observed_at":"2026-08-07T12:34:09.842371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:09.656639Z","title":"Saving face: Investigating the ethical concerns of facial recognition auditing,","venue":null,"work_id":"e991e6f6-7858-42f3-804b-5095e0de8247","year":2020},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.663092Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:16de80327863199df652b3bdfec725088a5bfea931a27d3a8b5f030277024e8a","observation_id":"f6f7abca-ebec-4006-b302-dce7e6daa805","resolution":{"observed_at":"2026-08-07T12:34:09.722410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:09.518290Z","title":"Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,","venue":null,"work_id":"50d6ce5f-33ba-4897-991e-9765b29468ca","year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.761967Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:82cf175e9f174a63cfbf03298d2bdcdc30e028bebbf370b1e96a396813109e29","observation_id":"40b28c7b-4e45-4132-a4d7-311942d05618","resolution":{"observed_at":"2026-08-07T12:34:09.570483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:33:54.845624Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.845624Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:95f81b225ea53e23013c45e5dcd1dfe5e4797b856f5d06f0e3355b9818e5ee85","observation_id":"b506cb58-366b-4953-b88d-a287e2a7e57c","resolution":{"observed_at":"2026-08-07T12:33:54.845624Z","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":"2026-08-07T12:34:09.325924Z","title":"ImageNet Large Scale Visual Recognition Challenge,","venue":null,"work_id":"64e90f27-f7a3-44f6-927e-8b148db0b195","year":2015},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:54.917970Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:d220353b86f1cc2229646db44549a1b6d103866d69bd0824346a4a7f6c34e555","observation_id":"f5bc04fb-7f23-423c-bc62-f4bfcec33e25","resolution":{"observed_at":"2026-08-07T12:34:09.411983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:09.154700Z","title":"EfficientNet: Rethinking model scaling for convolutional neural networks,","venue":null,"work_id":"f6bc7311-e6ab-4933-bf42-b5fb6f2929c3","year":2019},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.030863Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:63cd4a8d53b0910e642e2ff78abc99c2b5f05039780ee13f7ceb04a3fdb4b2d0","observation_id":"9753fe11-2384-42bc-9e5a-29deeb16f687","resolution":{"observed_at":"2026-08-07T12:34:09.254402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:08.966336Z","title":"BERT: Pre- training of Deep Bidirectional Transformers for Language Understand- ing,","venue":null,"work_id":"da121837-4ea9-47aa-b5ad-b15e1616cd3c","year":2019},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.153756Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:6ab5130def04fbdc1a7a07400949375f77465d9ecd2629523636993e2162f9c0","observation_id":"22457d61-1808-4987-b53c-72b2984c29ec","resolution":{"observed_at":"2026-08-07T12:34:09.038717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:08.776344Z","title":"Conceptual Cap- tions: A Cleaned, Hypernymed, Image Alt-text Dataset for Automatic Image Captioning,","venue":null,"work_id":"d67d27a9-7e46-4fa3-87b8-48e02717f629","year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.230901Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:ec6c06882c457638823b84de324c3fe4607f6a7070569bb0d58357902a101694","observation_id":"d610e65e-8239-427a-b163-cc27ee6d1628","resolution":{"observed_at":"2026-08-07T12:34:08.848532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:08.589751Z","title":"Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,","venue":null,"work_id":"aef8e25d-8e8f-47c3-92fb-e55b1625fce1","year":2015},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.327724Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:0754cc6efffd441bd19dc3e1f8ca67e694eb83bc22a1a8b6e076e63ae04870b5","observation_id":"6519e9b9-f65b-4a1e-92e6-b3ca3368a96a","resolution":{"observed_at":"2026-08-07T12:34:08.660718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:08.409827Z","title":"Reproducible scaling laws for contrastive language-image learning,","venue":null,"work_id":"0362a4b6-449f-443c-aca1-e63920a4fe46","year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.419043Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:3986cd3c2067c674aaaf305063b608cbd397eda16cda9e10fb00182cc945f23d","observation_id":"cbffa550-1bea-46fe-9f63-34a87253d94b","resolution":{"observed_at":"2026-08-07T12:34:08.496634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02114","last_updated":"2021-11-03T10:16:39Z","snapshot_observed_at":"2026-08-02T08:12:49.547570Z","submitted_at":"2021-11-03T10:16:39Z","title":"LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02114","snapshot_observed_at":"2026-08-07T12:33:55.558954Z","title":"LAION- 400M: Open dataset of CLIP-filtered 400 million image-text pairs,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.558954Z"},"links":{"cited_paper":"/paper/2111.02114","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:381f382c49e3fdb4043a12591abd29516a83d2013c0670d4446e52d7125d8afa","observation_id":"54816df3-7ac3-44a9-987e-493a51433a56","resolution":{"observed_at":"2026-08-07T12:33:55.558954Z","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":"2026-08-07T12:34:08.230441Z","title":"Hugging Face: The AI Community Building the Future,","venue":null,"work_id":"f1cacc73-a8bf-482e-9376-e44eff37aa8e","year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.659949Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:b56ffb7f1ede8147ab1e9628e556f2f0c3dc27c613a42585f0fa6573bca0bdc9","observation_id":"f3987a2a-c4d1-4e75-9e22-0f4c59752654","resolution":{"observed_at":"2026-08-07T12:34:08.309440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:08.021875Z","title":"LAION-5B: An open large- scale dataset for training next generation image-text models,","venue":null,"work_id":"e5ade18d-00fc-4419-8bda-1dd094cbb5e4","year":2022},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.729852Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:eb2a4e825f47a9be716ffe35d1ad03f1cc1ea8ffe5279c33ab506826356c5e90","observation_id":"7f775a49-f96c-41fd-9e34-8b88901ccfb9","resolution":{"observed_at":"2026-08-07T12:34:08.109947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:07.868390Z","title":"Emerging properties in self-supervised vision trans- formers,","venue":null,"work_id":"c3fd6dfd-5051-4613-ac17-d93ac8b32ad7","year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.821709Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:37e947070ff1f06984a7d0f6988b3dc9e17704e418c5f8c7b191ab8770a70fba","observation_id":"c27a9a65-d796-4ec5-b697-cf77e70272c6","resolution":{"observed_at":"2026-08-07T12:34:07.931933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:33:55.893891Z","title":"Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.893891Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:13b750baadb3f7424777646b5573c0cd7411027a9de1cb888304f005abe2d145","observation_id":"a38daf0e-b96b-4b2f-abaf-e4bee5a9387b","resolution":{"observed_at":"2026-08-07T12:33:55.893891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-07T12:33:55.964136Z","title":"LLaMA: Open and efficient foundation language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:55.964136Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:5e037605a885e12f17881b8118d8a76a1dc96125fa5f9ad098f10d0e640bda41","observation_id":"aefb5349-ae5b-4e53-a3f6-cd6ae42b8175","resolution":{"observed_at":"2026-08-07T12:33:55.964136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14824","last_updated":"2023-07-13T05:41:34Z","snapshot_observed_at":"2026-08-12T12:24:23.815073Z","submitted_at":"2023-06-26T16:32:47Z","title":"Kosmos-2: Grounding Multimodal Large Language Models to the World","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14824","snapshot_observed_at":"2026-08-07T12:33:56.073024Z","title":"Kosmos-2: Grounding multimodal large language models to the world,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.073024Z"},"links":{"cited_paper":"/paper/2306.14824","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:e250fa78fb5563a348deabd727059327079b1b0c615c4ed896e9ada0f02d69aa","observation_id":"517694cf-812b-4efc-b3fa-71f9612b474e","resolution":{"observed_at":"2026-08-07T12:33:56.073024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10479","last_updated":"2025-04-19T03:47:21Z","snapshot_observed_at":"2026-08-10T18:37:57.419939Z","submitted_at":"2025-04-14T17:59:25Z","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10479","snapshot_observed_at":"2026-08-07T12:33:56.192143Z","title":"InternVL3: exploring advanced training and test- time recipes for open-source multimodal models, (Technical Report),","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.192143Z"},"links":{"cited_paper":"/paper/2504.10479","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:ce8f38a09e1d57281b7fb7ee2f76c58aa0bfd634728074505a9236c471c6d886","observation_id":"393bbb5a-41ba-444d-872b-ce64e739b817","resolution":{"observed_at":"2026-08-07T12:33:56.192143Z","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":"2026-08-07T12:34:07.683700Z","title":"GPT-4o System Card,","venue":null,"work_id":"77af5521-91a6-4891-aff6-0de71be73523","year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.292600Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:17d20ddd4dfe17f8a312cd9b1e7915cbedfe1b8b76cd94e8ddca6d53623512f2","observation_id":"586f0be9-af3f-46ff-bd19-16b18fd9e896","resolution":{"observed_at":"2026-08-07T12:34:07.784892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:07.463239Z","title":"Claude 3.5 sonnet model card addendum,","venue":null,"work_id":"185e8daf-adec-482a-b88d-583817e046a9","year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.400053Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:98f9fd7f1fd3f0edcbdf7e769fae5d95b9b29025995f0ed8aa47580391539c90","observation_id":"b59466c3-dffd-4a6f-b13e-d4be18d08e2a","resolution":{"observed_at":"2026-08-07T12:34:07.566275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:07.279397Z","title":"Gemini 2.5: Our most intelligent AI model,","venue":null,"work_id":"70263854-fe99-4e06-9318-7b4cd9b52c47","year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.498198Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:4b41bfbdca1be4c441f9bd8ef42f3995d6cda27a14bd97837b87751f92e6f7a3","observation_id":"e2f9fe8f-29ab-4e3a-aed5-cd08feddd96c","resolution":{"observed_at":"2026-08-07T12:34:07.378512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06066","last_updated":"2024-01-11T17:31:42Z","snapshot_observed_at":"2026-08-13T15:18:04.411100Z","submitted_at":"2024-01-11T17:31:42Z","title":"DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06066","snapshot_observed_at":"2026-08-07T12:33:56.614065Z","title":"Deepseekmoe: Towards ultimate expert spe- cialization in mixture-of-experts language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.614065Z"},"links":{"cited_paper":"/paper/2401.06066","citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:ec07ebd0481b40c873450cc80885b08f3e117322df74d1af54eb502a69a53e88","observation_id":"25b85af4-a0da-40cb-b7be-7091100c5fb9","resolution":{"observed_at":"2026-08-07T12:33:56.614065Z","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":"2026-08-07T12:34:07.125165Z","title":"AgeDB: The first manually collected, in-the-wild age database,","venue":null,"work_id":"082a810d-18ee-463b-aa56-211589eb42b2","year":2017},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.714493Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:6afe922894bcfc3bc95d767a21fd6b52f1214ce10257d7eb84390a7ae2854b39","observation_id":"8e6a4edf-e39b-4758-bfb4-d6a9cd83c65e","resolution":{"observed_at":"2026-08-07T12:34:07.191587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:06.910435Z","title":"Nearest neighbor pattern classification,","venue":null,"work_id":"d84b6f4a-0a3d-46b2-a612-e9ee98fd7d62","year":1967},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.797071Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:bbbc4e9182020a4865e0d6bd553a0c336fd5bcb55a262a3fa7ccada6dfb7f5c0","observation_id":"21b6f84f-ec9d-4413-8184-60fa5d6dcb0c","resolution":{"observed_at":"2026-08-07T12:34:06.994188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:33:56.894512Z","title":"The use of multiple measurements in taxonomic prob- lems,","venue":null,"work_id":null,"year":1936},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.894512Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:adecf14f7d634f55f2f433d178e95fa1ad90a849e7cfcaa569f4fd54840da8b5","observation_id":"585caeab-76c7-470c-8d62-05080f3a69b0","resolution":{"observed_at":"2026-08-07T12:33:56.894512Z","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":"2026-08-07T12:34:06.735115Z","title":"The regression analysis of binary sequences,","venue":null,"work_id":"7329f5ba-48fe-4ce0-a5bb-6a1a8b80177c","year":1958},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:56.989155Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:ea83aa4756b2e3a88f01b3cad20a6295d2fe3983245418fed8d4b9ad4fc1d7db","observation_id":"f4f84f0f-4536-44a3-a1ee-f571b4ba662c","resolution":{"observed_at":"2026-08-07T12:34:06.825813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:33:57.079370Z","title":"Ridge regression: Biased estimation for nonorthogonal problems,","venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.079370Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:80fa0be4672de2d7fcc9c3a5d534cd8f2d900c297114e638c6871a04446b9c51","observation_id":"759320df-c175-428a-afc4-e9b996b35979","resolution":{"observed_at":"2026-08-07T12:33:57.079370Z","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":"2026-08-07T12:34:06.558381Z","title":"Support-vector networks,","venue":null,"work_id":"db601af6-4d92-42ae-8c56-2449114b1a40","year":1995},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.162327Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:1eb6d247be280f67f87cc4fed42bf78f28346dd0701f62a0c2d40e5d6a19f710","observation_id":"7492ce93-c58b-4e05-a4f2-7d4e1fc317a3","resolution":{"observed_at":"2026-08-07T12:34:06.629471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:06.393734Z","title":"Labeled Faces in the Wild: A database for studying face recognition in uncon- strained environments,","venue":null,"work_id":"f9150a87-f45d-4a25-b932-9bd8c0a5c47d","year":2008},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.213375Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:23e8510b9a3265341e940f3886553d9703e1d537eb432b381d8bf521a03fabb4","observation_id":"c44767e2-eab8-49b4-b9b0-9f6d3ef3f4c3","resolution":{"observed_at":"2026-08-07T12:34:06.475066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:06.182092Z","title":"Cross-Pose LFW: A database for studying cross-pose face recognition in unconstrained environments,","venue":null,"work_id":"ff1a1993-cd6c-456c-bb10-7ade6fcde224","year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.273399Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:bd4491f880952410573a0b57a9dec51cbdefb5002d4048dea4e62d557ad5e4d8","observation_id":"fc193e45-b04e-47d3-a79e-3e16042b208f","resolution":{"observed_at":"2026-08-07T12:34:06.260882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:06.010784Z","title":"Frontal to profile face verification in the wild,","venue":null,"work_id":"a7f56320-e54e-42e0-ab3a-98377dd30e8f","year":2016},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.345753Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:42a299b8fb72355e065c3b1da07c6c0a131b7d1cb9580860f22c471e52cee02a","observation_id":"4ddb5db6-547d-4289-8dd2-cee0c73a0bac","resolution":{"observed_at":"2026-08-07T12:34:06.072144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:05.788036Z","title":"Benchmarking Deep Network Architectures for Ethnicity Recognition Using a New Large Face Dataset,","venue":null,"work_id":"d5b97dbf-eb54-4e1a-a7ff-959a0f0ce586","year":2020},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.437073Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:1a065cd75eba81a62f7838efccfda351bca3d36d98ae8aecac85af2fa5cd8b6c","observation_id":"adbf81df-451b-4444-9d7f-f996cd100fd3","resolution":{"observed_at":"2026-08-07T12:34:05.885382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:05.570443Z","title":"VGGFace2: A dataset for recognising faces across pose and age,","venue":null,"work_id":"bd2aa497-2029-4396-987c-3d6fce2f312b","year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.491346Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:94ff8102337130061bca9b135a5305c0cdddb61d7cdd2d00b68fe546f861198f","observation_id":"a85ab5a7-ca99-4136-be9e-9afdd41e9111","resolution":{"observed_at":"2026-08-07T12:34:05.641971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:05.351237Z","title":"Comparison and Combination of Iris Matchers for Reliable Personal Authentication,","venue":null,"work_id":"0f7557b8-2085-4d8b-963b-7e948be5cd31","year":2010},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.555376Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:bff0473998a94ae833a0b24e04e902cc98d3d4dd260138e2b592d067c0e69de9","observation_id":"665d9f6f-3e3e-4135-9f80-a51d217214cb","resolution":{"observed_at":"2026-08-07T12:34:05.450235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:05.113974Z","title":"Image Under- standing for Iris Biometrics: A survey,","venue":null,"work_id":"d6af744a-d477-48c9-adbe-28e797956294","year":2008},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.650278Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:03d7a3c2cb76fb68cdffeac2092c964b45830fa92f51de8d2149ed5da8ee4785","observation_id":"54d8fbe6-613e-4e80-a44b-c8a973dc959b","resolution":{"observed_at":"2026-08-07T12:34:05.198931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:04.908154Z","title":"Ghclnet: A generalized hierarchically tuned contact lens detection network,","venue":null,"work_id":"5cb335f4-63d1-4cf5-ac22-62362217fd80","year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.715468Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:cadf648f592a77a6a63a36c7793de7fa5857d0e50a1473e4104ce1cf5c0c27bc","observation_id":"e6addf69-0a41-433d-aef1-75481983fbeb","resolution":{"observed_at":"2026-08-07T12:34:05.014313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:04.732845Z","title":"IIT Delhi Iris Database (Ver- sion 1.0),","venue":null,"work_id":"94a50075-0331-4e64-8121-fad1df3d20a8","year":2008},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.783031Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:68e76b6d1a5e48f96076d9a8b1becc7426b0f6f9aa90f07f5deab888bd0cb9fc","observation_id":"c624d3f8-37e0-4f45-be75-698ccddf41b5","resolution":{"observed_at":"2026-08-07T12:34:04.798688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:04.514066Z","title":"FaceForensics++: Learning to detect manipulated facial images,","venue":null,"work_id":"ef43be2d-13b3-41ae-bce7-6dc4b2a1a67e","year":2019},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.830914Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:ea3074dad67496ccd6c1149a682fe144ce02488040e8b5b2df569490d26b69d5","observation_id":"f4f1f697-863a-4d42-9cfa-fb3a4e9e996f","resolution":{"observed_at":"2026-08-07T12:34:04.603858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:04.337362Z","title":"Deepfakes,","venue":null,"work_id":"67c59800-597e-454e-9879-0c62d81edd8b","year":2020},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.897667Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:8f373f2d83c75f858d47d50b980ac42d571245186bb13e0bc4a5398a98f573a0","observation_id":"f804f9b5-023d-4e77-ae84-9cf487955c7d","resolution":{"observed_at":"2026-08-07T12:34:04.413828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:33:57.944751Z","title":"Face2Face: real-time face capture and reenactment of RGB videos,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:57.944751Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:65b68ff835810e1f884081f4ee90000a0d6fe002d7d99538212f33af88faa7d0","observation_id":"305eca47-3e12-424c-bac8-e883f89e0043","resolution":{"observed_at":"2026-08-07T12:33:57.944751Z","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":"2026-08-07T12:34:04.158000Z","title":"Faceswap,","venue":null,"work_id":"5e827375-7a32-413b-aca3-8abbc0f8e4a8","year":2021},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.009751Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:91f03e442f16be464de948f5f5e9873ecd3f6342471c4b9c1726ab2eb96a0790","observation_id":"3f4fa1e9-4263-4fc2-b7e8-cd4969d9d730","resolution":{"observed_at":"2026-08-07T12:34:04.241438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:03.946438Z","title":"Deferred neural rendering: image synthesis using neural textures,","venue":null,"work_id":"94b7b2ad-7532-481f-a04b-35b45d2e2cc3","year":2019},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.065755Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:571af53334c9eab3c7cd34d54b836070ae98477e138c3a5aaad725a29a67f289","observation_id":"1d69fb19-ebc0-452c-9c52-a239fc9fa9aa","resolution":{"observed_at":"2026-08-07T12:34:04.056472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:03.786154Z","title":"Extended StirTrace Benchmarking of Biometric and Forensic Qualities of Morphed Face Images,","venue":null,"work_id":"31cc6a21-122d-4683-ad85-10ead2902017","year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.125937Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:c03b8af09d9183c299665f174bddf60da702303cd81a7ee2202f8b362c5d3424","observation_id":"72ae0cb0-c890-40a9-af97-bcbfa4db30fe","resolution":{"observed_at":"2026-08-07T12:34:03.848738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:33:58.200471Z","title":"Face Research Lab London (FRLL) Image Dataset,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.200471Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:9a6b4fe93c4c4738361223b728cbae5451c91c61775ad4f9bf43778da66a02ba","observation_id":"6996a49a-6fe6-48bf-bbe5-5b1626b9b186","resolution":{"observed_at":"2026-08-07T12:33:58.200471Z","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":"2026-08-07T12:34:03.580717Z","title":"MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders,","venue":null,"work_id":"38f40df8-138d-4f7c-ab45-cda208629cb8","year":2023},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.266616Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:e4c3ec5bb47c2ddf726edfbd544689550939b574452a07c76eba48b2bcf569c9","observation_id":"d53c74f8-b478-4120-b80b-b57d103ba82b","resolution":{"observed_at":"2026-08-07T12:34:03.655359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:03.366995Z","title":"Face morph using OpenCV — C++ / Python,","venue":null,"work_id":"d046d56b-5522-4a99-8ed3-0d96c72a3bde","year":2016},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.324893Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:5dc4203dad1b6cfe4e13463ae1d6c3c31e06e73297297138d92d99ad923384c0","observation_id":"e17a25b8-15b7-4c10-bfba-4950700f5191","resolution":{"observed_at":"2026-08-07T12:34:03.479567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:03.250957Z","title":"Analyzing and Improving the Image Quality of StyleGAN,","venue":null,"work_id":"6ae56a69-77c1-4ca6-ba01-f4ff86309f48","year":2020},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.365114Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:0a0878ab7bdf4aa7d9d6ba57a091e5855c63c28cf7a8d069891701977d47898e","observation_id":"cfc2d9e7-9790-4e32-bd51-0806446c4ce4","resolution":{"observed_at":"2026-08-07T12:34:03.302917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.1162670","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"debruine/webmorph morphing software: Beta release 2,","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"402eb76b-efc3-4b7c-9a09-c09a0da3d1ee","year":2018},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.430916Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:0db9486e8c96b8e66fd6e95323a3db54d390ac00836c53a19a07802bac289bdd","observation_id":"a1371aae-4c04-46eb-8f19-306033a72206","resolution":{"observed_at":"2026-08-07T12:33:59.467976Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:03.048168Z","title":"Face morpher,","venue":null,"work_id":"2cba01e0-b863-4340-8047-ba6ad7cb6518","year":2016},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.514651Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:6bb59f6c16647b45f8737b5238c119b724586547b59caa62c3cd8bd11774828b","observation_id":"da2b80ea-bac4-470e-aee8-65cf2142a4fc","resolution":{"observed_at":"2026-08-07T12:34:03.161298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:02.799038Z","title":"dc-GAN: Dual-Conditioned GAN for Face Demorphing From a Single Morph,","venue":null,"work_id":"871e63f1-b8d3-49b9-bb5c-b5d42eafbeac","year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.556138Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:e0b9af7822daf5901fba4a1d7ac73a055634f72dfc9516524ae763cd3d15c246","observation_id":"81820270-120b-4925-ae7d-4a95b8a00fa2","resolution":{"observed_at":"2026-08-07T12:34:02.883728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:34:02.553097Z","title":"Metric for Evaluating Performance of Reference-Free Demor- phing Methods,","venue":null,"work_id":"7d5bd1c6-8fa2-453d-8d97-e5b967070fb1","year":2025},"citing_paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:58.588182Z"},"links":{"citing_paper":"/paper/2505.24214"},"observation_digest":"sha256:a2f0304ca6cff8cea64818252952f1ed2a7f253eaa9957f516137ff405a0d342","observation_id":"b5e307c4-8227-4f2a-8bec-1c017ffc5e3e","resolution":{"observed_at":"2026-08-07T12:34:02.672159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24214","last_updated":"2025-05-30T04:53:55Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T12:27:14.242511Z","submitted_at":"2025-05-30T04:53:55Z","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":56,"verified_exact":1,"verified_fuzzy":43},"total_outbound_references":107},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 6 inbound Pith citation observations for arXiv:2505.24214."}