{"as_of":"2026-08-17T02:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:87c6b6c20d553def4ecbe61235ae51d5bdf642e1b92b45c1201f3adff0471a98","coverage":[{"denominator":136,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:32:37.540454Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.19800/citation-record","integrity":"/paper/2508.19800/integrity","json":"/paper/2508.19800/citation-record.json","paper":"/paper/2508.19800"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.cels.2021.05.012","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mapping the multiscale structure of biological systems,","venue":"Cell Systems","work_id":"096f6481-813f-4a87-b6bf-3d84f844d1d8","year":2021},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.195831Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:f5a3d2d6fd2c7c35ced0da9f21e24678e6a7413a32eacdef6260afc4e08ef95d","observation_id":"a4c9a8f9-07cf-4392-93e1-0d3f07860e7d","resolution":{"observed_at":"2026-08-05T15:34:18.025727Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.199506Z","title":"Systems Biology: A Brief Overview,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.199506Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:47ddfc50643d2ab0642c6f5e2fcf4ba5e620ab16002a8e4803a9339f053cd419","observation_id":"0e00edbe-247e-416c-b89b-601329372461","resolution":{"observed_at":"2026-08-05T15:32:37.199506Z","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":"2026-08-05T15:32:37.203092Z","title":"Chapter 6 - Artificial intelligence in systems biology,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.203092Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:c22ea731299b6634f81a4191fe0d3e873238ee1c8a0f735d27dc0c6353f578f9","observation_id":"114ce37c-d624-422a-a546-989c18126c83","resolution":{"observed_at":"2026-08-05T15:32:37.203092Z","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":"2026-08-05T15:32:37.206741Z","title":"Artificial Intelligence in Bioinformatics: Advancements and Applications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.206741Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:438c821e0bffc70c9097d6096ccf2570665bde2f296ddcce66fd325a2d673708","observation_id":"a7112517-a804-43db-bc8c-29fafe620fbe","resolution":{"observed_at":"2026-08-05T15:32:37.206741Z","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":"2026-08-05T15:32:37.182633Z","title":"safe and effective","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.182633Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:5a827b14f2b2f4b0dd40cd3ea265f8983e4717c86e10091f3321457fdfd44669","observation_id":"8b8c3398-e8d9-44ff-a48c-1f602578cf03","resolution":{"observed_at":"2026-08-05T15:32:37.182633Z","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":"2026-08-05T15:32:37.187936Z","title":"black boxes,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.187936Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:a5a4c18ca4a00acf671039a2f54822f9340bb3045e5f8c5e91c9a5d97f4af065","observation_id":"74cc3d79-1cad-4191-a79f-4236a6605650","resolution":{"observed_at":"2026-08-05T15:32:37.187936Z","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":"2026-08-05T15:32:37.191580Z","title":"black box","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.191580Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:da50e851eb488483f8d9ed37b1d4193447fdcef3a3da85eab7f5d39a8d8e3ab4","observation_id":"64fd0440-236a-4d68-afa7-221250f15680","resolution":{"observed_at":"2026-08-05T15:32:37.191580Z","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":"2026-08-05T15:32:37.210395Z","title":"A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.210395Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:edf96dd160d39e152c554a4086a00204e9c3bd09ea9d9dc30f67e7d4263b10f6","observation_id":"8bbc28eb-9963-4347-b86b-200de4167bce","resolution":{"observed_at":"2026-08-05T15:32:37.210395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41568-020-00327-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Designing deep learning studies in cancer diagnostics,","venue":"Nature reviews. Cancer","work_id":"99ea61fb-1a3a-4df3-a103-f7d2b0515222","year":2021},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.214011Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:2338341948bf824e63c3d20b0356c5edd21e6bc8ddc727c89aed389291b69da0","observation_id":"56a5c201-171b-42be-b918-7d17f8616187","resolution":{"observed_at":"2026-08-05T15:34:17.778422Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-023-40890-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Biology-guided deep learning predicts prognosis and cancer immunotherapy response,","venue":"Nature Communications","work_id":"98a8fa05-10eb-44eb-ac79-9ef7bea354f8","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.217874Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:b5e04a1f2a6d7d241c56d8f593b1b91252975d1f960728705f2da15ae10d05ec","observation_id":"91fcdf29-c861-47d8-93d9-bf3cbc614a3e","resolution":{"observed_at":"2026-08-05T15:34:17.535028Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-023-37173-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass,","venue":"Nature Communications","work_id":"54f89343-ecba-4864-af44-cc9a62c527d8","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.221217Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:12ce6d3f8b410ef2f1cdf3382504c1c1ca83dd92daa30e4529064d5f6883da44","observation_id":"8551b98d-1bf2-47bf-a6c3-6b7274a76888","resolution":{"observed_at":"2026-08-05T15:34:17.289081Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41588-018-0167-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Predicting the clinical impact of human mutation with deep neural networks,","venue":"Nature Genetics","work_id":"6cbfc09c-83c9-40bf-8d55-c1ed4b542e4c","year":2018},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.224668Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:e20a2a307787922dba0920235cad06d2d17237fdfd041ab14adf81c4ee260df2","observation_id":"f797d103-343a-4f85-b518-ad72e9b32922","resolution":{"observed_at":"2026-08-05T15:34:16.945687Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-05T18:20:22.117618+00:00","source":"paper_reference_links","state":"open"},"event_date":"2018-12-17","event_type":"correction","notice_doi":"10.1038/s41588-018-0329-z","provenance":{"observed_at":"2026-07-11T02:58:09.574501+00:00","source":"crossref","source_record_id":"10.1038/s41588-018-0329-z->10.1038/s41588-018-0167-z:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12929-024-01110-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence,","venue":"Journal of Biomedical Science","work_id":"b738b9e0-f214-432d-9da3-ffca853464b7","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.228122Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:343a8893e383b92920e3cd95b9bb49d4f4a6da5bee07f4604faee7d293a80f34","observation_id":"3323879e-5b17-4feb-9e42-29c049234b80","resolution":{"observed_at":"2026-08-05T15:34:16.615501Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2217/pgs-2018-0008","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Deep learning in pharmacogenomics: from gene regulation to patient stratification,","venue":"Pharmacogenomics","work_id":"8382a005-4012-4fb2-9d81-db51ccfc52ff","year":2018},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.231606Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:db1f3391fbb441672e135808f4f8fa8de730b6e132ba6a4372d926533125b5de","observation_id":"eb9af914-0fe1-48f2-9609-e7ec201b95b6","resolution":{"observed_at":"2026-08-05T15:34:16.362135Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41587-021-00946-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Prediction of drug efficacy from transcriptional profiles with deep learning,","venue":"Nature Biotechnology","work_id":"c0d97179-95a8-429b-ba4e-ce7bdc3b94d8","year":2021},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.235104Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:ad1fce71830f51ad27f9dea96bd5c75349ad5667e07298efdeea159387877bcd","observation_id":"7fc0ba0b-7f70-48f8-b10c-7f3416b5708a","resolution":{"observed_at":"2026-08-05T15:34:16.030366Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41586-024-08564-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Artificial intelligence for modelling infectious disease epidemics,","venue":"Nature","work_id":"c0273aa4-01d0-4b32-82ee-f833c01db16e","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.238561Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:1b43e4ab41eb0439c9cd4a656b19c2b57c515cb24ac75b4187e49744a0b93ce1","observation_id":"44476b31-b8ca-40d9-91db-5404a0cdccd4","resolution":{"observed_at":"2026-08-05T15:34:15.706154Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s42256-024-00895-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Machine learning for data-centric epidemic forecasting,","venue":"Nature Machine Intelligence","work_id":"1c42e75f-f024-468d-afe0-ef4f0be89526","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.242694Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:0baf3285f8979302edb6c8335b9ce267d8329828849c20657aaf9721432c0a26","observation_id":"057ab677-a343-49ac-9c87-6efee0f36204","resolution":{"observed_at":"2026-08-05T15:34:15.349368Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.246326Z","title":"Harnessing machine learning to guide phylogenetic-tree search algorithms,","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.246326Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:cf33fdea167dac887708d725cb5615db3396363563f0295942e6c676da8c1457","observation_id":"38f403bd-d805-4ffa-a3bd-c22f45281e45","resolution":{"observed_at":"2026-08-05T15:32:37.246326Z","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":"2026-08-05T15:32:37.249591Z","title":"ModelRevelator: Fast phylogenetic model estimation via deep learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.249591Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:bddeabfc3572cb7121b81ea2918d049615691306c04ac21e11a8aada9fb5c32f","observation_id":"fb3ab219-5f5d-46d4-b0ab-d32a70751dc1","resolution":{"observed_at":"2026-08-05T15:32:37.249591Z","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":"2026-08-05T15:32:37.252751Z","title":"Genome modeling and design across all domains of life with Evo 2,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.252751Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:252527ba444336bc184e365b8fa19c0c67de51543553bde1cf830ff7247fc9f2","observation_id":"327d4223-d18f-4687-939c-18f2f10bd771","resolution":{"observed_at":"2026-08-05T15:32:37.252751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioadv/vbae090","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Perspectives on computational modeling of biological systems and the significance of the SysMod community,","venue":"Bioinformatics Advances","work_id":"6b89e9b6-31b0-4f30-bd2d-475bfca5276c","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.256068Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:dbb5a2752c8d7918bfb11ec83e1b66945037b8850c515501d00272a026c32d5d","observation_id":"a9fce004-ca5d-4060-99ff-a68b9e5bbf22","resolution":{"observed_at":"2026-08-05T15:34:15.004369Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.csbj.2024.12.030","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships,","venue":"Computational and Structural Biotechnology Journal","work_id":"6dd87e8e-0301-4542-97c6-18d2198767ce","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.259442Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:0b66549ab631e7d3eae67d511f93f3edd67b1a766f172d11c1bca35f1b4d3a14","observation_id":"f39361b8-a5d7-4d63-8040-99488c25ad58","resolution":{"observed_at":"2026-08-05T15:34:14.699109Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-05T18:20:41.324222+00:00","source":"paper_reference_links","state":"open"},"event_date":"2025-03-18","event_type":"correction","notice_doi":"10.1016/j.csbj.2025.03.020","provenance":{"observed_at":"2026-07-11T03:15:41.986588+00:00","source":"crossref","source_record_id":"10.1016/j.csbj.2025.03.020->10.1016/j.csbj.2024.12.030:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s42256-024-00907-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A multiscale approach for biomedical machine learning,","venue":"Nature Machine Intelligence","work_id":"2a8a829f-9483-40c2-9551-85c9384fe285","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.263126Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:56855b50f02af11e06e800581c21bf6a951091455afa7d70aad22c0224554c2e","observation_id":"823dc2c9-1456-4aee-af4b-9c2318256749","resolution":{"observed_at":"2026-08-05T15:34:14.444314Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-024-55248-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"INSIHGT: an accessible multi-scale, multi-modal 3D spatial biology platform,","venue":"Nature Communications","work_id":"888790be-1efa-4492-bca4-247d416a4333","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.266258Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:cd810ac47e315c0d4a4831a3f7d99ab78e53f1f61df6750b82f0b6d66ec3f758","observation_id":"bc179643-5a32-4c71-99ae-8aff283d15db","resolution":{"observed_at":"2026-08-05T15:34:14.212608Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1172/jci129197","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Opportunities and challenges in using real-world data for health care,","venue":"Journal of Clinical Investigation","work_id":"4dd90ac4-0c81-4375-ae02-c7624debcf21","year":2020},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.269862Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:38368c0c0acdba57dc9b76af6cd5e4b7b5bad5b4fe9d3d3b242db599d5b2df34","observation_id":"0382166b-4eef-4689-bb99-3f185928d09a","resolution":{"observed_at":"2026-08-05T15:34:13.993890Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.273566Z","title":"Autonomous chemical research with large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.273566Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:d934c5d4df3c5b84cb18be375e351400dc7f387a1a3a8009b0f55e774d3ff467","observation_id":"a89c0107-e86d-4bd5-9f04-7d7fb947bcf1","resolution":{"observed_at":"2026-08-05T15:32:37.273566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41592-024-02354-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Language models for biological research: a primer,","venue":"Nature Methods","work_id":"2d06c548-1e0a-483b-8165-afadcb2a0ac3","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.277604Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:413673210b1474b1f55cbb24f0aafbff14c3194fec68e714b0ff4ac641e8f14b","observation_id":"e2f44906-bffe-4cf2-926a-ee216b089f88","resolution":{"observed_at":"2026-08-05T15:34:13.743286Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.281008Z","title":"Empowering biomedical discovery with AI agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.281008Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:fe591e8e0d731ed78b4f6da02499dc8d30dd8337dd703ae25dda8f441125e730","observation_id":"e703043c-6a79-4ff6-85a4-61585fc0d87e","resolution":{"observed_at":"2026-08-05T15:32:37.281008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-024-45879-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Large language models streamline automated machine learning for clinical studies,","venue":"Nature Communications","work_id":"7deec244-e691-4790-816e-cec82594410e","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.285124Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:1e764d51e5419a1d739f99db11c77882685b96c16a1a8376508ac691d9f0614c","observation_id":"07c6bd52-052a-4eaf-8e81-eacfa47f58d6","resolution":{"observed_at":"2026-08-05T15:34:13.457615Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41551-024-01223-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies,","venue":"Nature Biomedical Engineering","work_id":"f8f17e8e-79be-4862-b2cf-b3d46595a57d","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.288497Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:a387c64aafba36e244f516ed4b10c7d88fdd16ed1a66e455d85274b4d7217a5a","observation_id":"88c05cbe-efc4-4883-97ab-1745f1197f16","resolution":{"observed_at":"2026-08-05T15:34:13.216321Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.291927Z","title":"SpatialAgent: An autonomous AI agent for spatial biology,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.291927Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:2ce3662d6e750ff830af99e722c1d59b22755a80119e8ba729ccb55a4fb9d64e","observation_id":"1def52b2-f8fe-4c4b-bccb-a5a8eed32f66","resolution":{"observed_at":"2026-08-05T15:32:37.291927Z","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":"2026-08-05T15:32:37.295468Z","title":"How to build the virtual cell with artificial intelligence: Priorities and opportunities,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.295468Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:bb07832f3c0d695788876daf7b0ed9435a6596b43ce8d841598daf297d17be50","observation_id":"e191aab5-7caf-4b7c-a80f-6325786695fb","resolution":{"observed_at":"2026-08-05T15:32:37.295468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13400","last_updated":"2025-05-19T17:36:17Z","snapshot_observed_at":"2026-08-16T07:07:56.502138Z","submitted_at":"2025-05-19T17:36:17Z","title":"Robin: A multi-agent system for automating scientific discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13400","snapshot_observed_at":"2026-08-05T15:32:37.299042Z","title":"Robin: A multi-agent system for automating scientific discovery,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.299042Z"},"links":{"cited_paper":"/paper/2505.13400","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:a122a454d58dad5834a3fda1adb79467c4bb6e01d18e79ca3f3fdf3f112b6734","observation_id":"ccb62b1a-4e88-4ee2-8b7b-f0ebe0e346d8","resolution":{"observed_at":"2026-08-05T15:32:37.299042Z","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":"2026-08-05T15:32:37.303222Z","title":"OriGene: A Self-Evolving Virtual Disease Biologist Automating Therapeutic Target Discovery,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.303222Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:63bbc4da4febe87ae97e4fcbf478285a4fccba20257aa6d0a548c226d698db79","observation_id":"a731a1bd-f67c-48fd-a72e-533f8fec431e","resolution":{"observed_at":"2026-08-05T15:32:37.303222Z","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":"2026-08-05T15:32:37.306431Z","title":"Biomni: A General-Purpose Biomedical AI Agent,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.306431Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:63e5ffe05469f67e666fe41ca7b1b71a3b8f49553a59c4895528c78eb5da2c13","observation_id":"6224b0f6-3cd7-4c0c-8b2f-9e469a33812a","resolution":{"observed_at":"2026-08-05T15:32:37.306431Z","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":"2026-08-05T15:32:37.309809Z","title":"Enhancing diagnostic capability with multi-agents conversational large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.309809Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:641d3c8646e45bde9a5b3b707c7b30bc1569788efb784718d09e76f059acd2a1","observation_id":"93208edc-3455-42a4-9662-cc66d03ae232","resolution":{"observed_at":"2026-08-05T15:32:37.309809Z","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":"2026-08-05T15:32:37.313290Z","title":"LLM Agent Swarm for Hypothesis-Driven Drug Discovery,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.313290Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:05f819a4b6eeea878632fa835930e77f0b7531a068d517389e5ecc859c5ec0f6","observation_id":"1e0e30a0-cf83-49d0-b13c-7637613846e2","resolution":{"observed_at":"2026-08-05T15:32:37.313290Z","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":"2026-08-05T15:32:37.316382Z","title":"Towards an AI co-scientist,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.316382Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:21374aaf8bb3ba5521365f07d7d4d73214d8d7695ca26766e31b80e18f021a92","observation_id":"fa4ec489-ebfa-4f84-ba71-5b7685b687a9","resolution":{"observed_at":"2026-08-05T15:32:37.316382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.crbiot.2022.02.004","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Big data: Historic advances and emerging trends in biomedical research,","venue":"Current Research in Biotechnology","work_id":"e623c155-7f12-40df-8c3c-9b5b4b71d7ef","year":2022},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.319817Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:126f6c165290ca085e39ffab18292a9f41b1d7710bd4e7f2ce1afff0ca3b6b3d","observation_id":"355f49a4-a558-4a25-8e4a-8d4f474ee13b","resolution":{"observed_at":"2026-08-05T15:32:38.495174Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/gch2.202300163","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review,","venue":"Global Challenges","work_id":"b2d93d39-713e-49f0-a79c-98e1f5df0b6c","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.323308Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:86ca5ef5eea7a907541c7a7dd0967dfbecbc9f772b414e41b364aa7c83287f7a","observation_id":"980ffed8-cb73-41ae-be0a-6af896a79bfd","resolution":{"observed_at":"2026-08-05T15:32:38.484456Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.326669Z","title":"Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.326669Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:8206303ceb0928d745b95d5db0f8aa871d704fe507b5e6cc9d17c3e7d4d9d9e8","observation_id":"6c215ba7-87e8-4dea-9039-a3293948dc6d","resolution":{"observed_at":"2026-08-05T15:32:37.326669Z","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":"2026-08-05T15:32:37.330403Z","title":"Sequence modeling and design from molecular to genome scale with Evo,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.330403Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:74ff5cf4a8a96a974b4147449f911a861eeee9cff66e3b13cca9cfadc3666e8c","observation_id":"e8a4bb97-69ba-4d51-980b-90095c04d30c","resolution":{"observed_at":"2026-08-05T15:32:37.330403Z","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":"2026-08-05T15:32:37.334402Z","title":"BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.334402Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:347b6c6cc2a4f984092b8d58d812092e612097234cbe2783610068304b5e3d5a","observation_id":"cdc06150-9d72-4689-ae26-acf4f8e0773b","resolution":{"observed_at":"2026-08-05T15:32:37.334402Z","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":"2026-08-05T15:32:37.337775Z","title":"scGPT: toward building a foundation model for single-cell multi-omics using generative AI,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.337775Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:fd646d83fc4fbb9c4c8143361b0f654c078efdc78cc1251b3bb42cf6bb74123b","observation_id":"a8ec6844-954e-4d81-96ef-bcddaf60aa74","resolution":{"observed_at":"2026-08-05T15:32:37.337775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41378-025-00962-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics,","venue":"Microsystems & Nanoengineering","work_id":"b93c441a-7c13-44b2-821b-b9a19b74737e","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.341253Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:ab10c8ab961e366fe34b091d0c48a81a9d09030ad61a2c04605fc67c94679f57","observation_id":"c2a7a545-0976-4379-b23d-d909af98d7de","resolution":{"observed_at":"2026-08-05T15:32:38.454161Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2024.02.21.581369","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data,","venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"c322a666-c3fe-49b3-9dd1-6429934e5367","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.344835Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:0a9186a5043a6e1261e326986b1a8d9b6bc1cbd1d193f1a69926ae5785ac3a1a","observation_id":"d09d0f56-4d70-4610-b9e3-87bf652360e1","resolution":{"observed_at":"2026-08-05T15:32:38.441844Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14307","last_updated":"2024-07-01T19:38:03Z","snapshot_observed_at":"2026-08-16T13:41:06.814158Z","submitted_at":"2024-06-20T13:37:10Z","title":"QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14307","snapshot_observed_at":"2026-08-05T15:32:37.348199Z","title":"QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.348199Z"},"links":{"cited_paper":"/paper/2406.14307","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:5726fa85b70cecf6033a85048b43a6a999846098a0ac2ef06cba0381a6010104","observation_id":"52950a25-c5a0-40f2-bd94-69570f27977c","resolution":{"observed_at":"2026-08-05T15:32:37.348199Z","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":"2026-08-05T15:32:37.352347Z","title":"A vision–language foundation model for precision oncology,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.352347Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:2d905f0c1b8c41411998c449333013e6f747e5b8530184a4588733228bd2b132","observation_id":"7acbae65-41aa-4434-8170-d127c3bb1fab","resolution":{"observed_at":"2026-08-05T15:32:37.352347Z","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":"2026-08-05T15:32:37.355709Z","title":"Large Language Models in radiology: A technical and clinical perspective,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.355709Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:b8365a26a8f4c404cb0d50690b1cb572a6874b542c9feee8fd7412291593a90e","observation_id":"bdacd4af-4631-4cd4-8c73-486bffaec11a","resolution":{"observed_at":"2026-08-05T15:32:37.355709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05464","last_updated":"2025-01-18T05:53:51Z","snapshot_observed_at":"2026-08-15T14:41:28.330047Z","submitted_at":"2024-12-31T19:55:45Z","title":"LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.05464","snapshot_observed_at":"2026-08-05T15:32:37.359152Z","title":"LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.359152Z"},"links":{"cited_paper":"/paper/2501.05464","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:2a631ae9bd62c089dd266af846130e05d8444ba592493dda7dd040eab62e3e4b","observation_id":"f75262ea-b5d0-49f1-9959-d7189b39a289","resolution":{"observed_at":"2026-08-05T15:32:37.359152Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06292","last_updated":"2024-09-01T00:41:18Z","snapshot_observed_at":"2026-07-06T18:59:43.564435Z","submitted_at":"2024-08-12T16:58:11Z","title":"The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06292","snapshot_observed_at":"2026-08-05T15:32:37.363198Z","title":"The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.363198Z"},"links":{"cited_paper":"/paper/2408.06292","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:60f9f1496956bfa642e70202cf43050ed7b8aed0be72fdbd95e3dd319dd39a55","observation_id":"6b05f104-ab04-4370-aff9-a5e5aa59f0fa","resolution":{"observed_at":"2026-08-05T15:32:37.363198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2025.04.03.646459v1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:32:38.407672Z","title":"Spatialagent: An autonomous ai agent for spatial biology,","venue":null,"work_id":"9c846f89-da8d-4232-9099-a43caea51438","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.366599Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:d73d355927edc034256163952d533aab8397acf74d55a1e0a262ad7a767dc5aa","observation_id":"7efd66d4-b985-47d8-9570-ef8c2dda28e2","resolution":{"observed_at":"2026-08-05T15:32:38.411150Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10970","last_updated":"2025-03-14T00:28:15Z","snapshot_observed_at":"2026-08-16T12:50:11.454099Z","submitted_at":"2025-03-14T00:28:15Z","title":"TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10970","snapshot_observed_at":"2026-08-05T15:32:37.369811Z","title":"TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.369811Z"},"links":{"cited_paper":"/paper/2503.10970","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:4182af6d68c4b278e02cd25480d04ae94dc45509e68211dd78fefda7657b35ad","observation_id":"bcff5c31-1a3a-42b9-a184-75a8e27f536b","resolution":{"observed_at":"2026-08-05T15:32:37.369811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07738","last_updated":"2025-02-09T08:15:44Z","snapshot_observed_at":"2026-08-16T14:01:45.252212Z","submitted_at":"2024-04-11T13:36:29Z","title":"ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07738","snapshot_observed_at":"2026-08-05T15:32:37.373327Z","title":"ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.373327Z"},"links":{"cited_paper":"/paper/2404.07738","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:e2e018f0c4190e842853f59fee6d03884cc942981afc09ab8ed07ac4a6f970ff","observation_id":"df969006-830f-40ce-88bc-f5fd839b0764","resolution":{"observed_at":"2026-08-05T15:32:37.373327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T15:32:37.377002Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.377002Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:dd8843f23170fad59db940931a4528715efb12be41ac305ac50e0217e375b159","observation_id":"2feaeccc-1451-45ba-89d5-eaaf6e74be69","resolution":{"observed_at":"2026-08-05T15:32:37.377002Z","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":"2026-08-05T15:32:37.381194Z","title":"Bridging biodegradable metals and biodegradable polymers: A comprehensive review of biodegradable metal–organic frameworks for biomedical application,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.381194Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:cb701ec9d910201e9220bad302be9a2ea3302a50d00fad692c119b984dc113ac","observation_id":"dcc6e6dc-78dc-4983-9ee4-f72c1fa080bd","resolution":{"observed_at":"2026-08-05T15:32:37.381194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jechem.2025.07.033","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mitigating lithium void formation in all-solid-state batteries via a high lithium diffusion 3D composite interlayer,","venue":"Journal of Energy Chemistry","work_id":"d65ba69f-93e7-4122-a022-95c6fa546083","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.384850Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:2788947c8a9b82a60f0ec248746e8e4dff51d43733100ca3c06fa9c62672eac4","observation_id":"3145c4c9-f980-47d1-b1b6-8357c68b5206","resolution":{"observed_at":"2026-08-05T15:32:38.379073Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2025.04.01.646719v1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:32:38.363126Z","title":"Fleming: An AI Agent for Antibiotic Discovery in Mycobacterium Tuberculosis,","venue":null,"work_id":"cdb83463-5c03-4a3b-a1d7-dc8b0e927276","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.388404Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:e0984acfd1e5daaf1c27db4b2137951236bb16ea749d504a0d038d6052a3ebce","observation_id":"0533ba5a-3d4a-4099-8ec7-418088649d5a","resolution":{"observed_at":"2026-08-05T15:32:38.366997Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06316","last_updated":"2024-06-10T14:33:02Z","snapshot_observed_at":"2026-08-16T13:44:32.408052Z","submitted_at":"2024-06-10T14:33:02Z","title":"Tx-LLM: A Large Language Model for Therapeutics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06316","snapshot_observed_at":"2026-08-05T15:32:37.392346Z","title":"Tx-LLM: A Large Language Model for Therapeutics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.392346Z"},"links":{"cited_paper":"/paper/2406.06316","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:dac6b097026364b73d8c4e902da3c9b267c12e469114515ba830082dc3a9444e","observation_id":"4ac5190e-c30d-4f6f-b558-bd5d6fcbd9aa","resolution":{"observed_at":"2026-08-05T15:32:37.392346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06196","last_updated":"2025-04-08T16:39:02Z","snapshot_observed_at":"2026-08-16T12:42:56.544188Z","submitted_at":"2025-04-08T16:39:02Z","title":"TxGemma: Efficient and Agentic LLMs for Therapeutics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06196","snapshot_observed_at":"2026-08-05T15:32:37.396128Z","title":"TxGemma: Efficient and Agentic LLMs for Therapeutics,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.396128Z"},"links":{"cited_paper":"/paper/2504.06196","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:be16e5d971ad45dc6df5be965929496e92900e518786222d976d0a3f21493a1d","observation_id":"e43da4d7-284f-4300-b2cd-e6f66ba3a388","resolution":{"observed_at":"2026-08-05T15:32:37.396128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14777","last_updated":"2024-07-20T07:52:16Z","snapshot_observed_at":"2026-08-16T18:32:09.645091Z","submitted_at":"2024-04-23T06:30:53Z","title":"ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14777","snapshot_observed_at":"2026-08-05T15:32:37.400331Z","title":"ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.400331Z"},"links":{"cited_paper":"/paper/2404.14777","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:2565739fa4c081984a6552eafd8a4b5ca06e4e73e983905e4464a0bad34b8c69","observation_id":"12a6fd33-0c57-4148-9435-6ea8d21a7043","resolution":{"observed_at":"2026-08-05T15:32:37.400331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09858","last_updated":"2025-02-14T01:46:00Z","snapshot_observed_at":"2026-08-14T05:00:14.207240Z","submitted_at":"2025-02-14T01:46:00Z","title":"Automated Hypothesis Validation with Agentic Sequential Falsifications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09858","snapshot_observed_at":"2026-08-05T15:32:37.404063Z","title":"Automated Hypothesis Validation with Agentic Sequential Falsifications,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.404063Z"},"links":{"cited_paper":"/paper/2502.09858","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:decf5ee11b09be79c929221ddcc277aef2880a9e75183d0ee80c98b37c6b3faa","observation_id":"ee89f365-cd29-4422-9c52-eab8a44b4cc0","resolution":{"observed_at":"2026-08-05T15:32:37.404063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17605","last_updated":"2024-04-24T23:15:49Z","snapshot_observed_at":"2026-08-16T13:58:03.826547Z","submitted_at":"2024-04-24T23:15:49Z","title":"Autonomous LLM-driven research from data to human-verifiable research papers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17605","snapshot_observed_at":"2026-08-05T15:32:37.407602Z","title":"Autonomous LLM-driven research from data to human-verifiable research papers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.407602Z"},"links":{"cited_paper":"/paper/2404.17605","citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:e29e5e70b008611dafd36dd908a82e5ce10bb07fdffe08fd3ae206e4c5f3bcd9","observation_id":"82e6dcc8-3239-458b-af5a-d9ed892575a3","resolution":{"observed_at":"2026-08-05T15:32:37.407602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41588-022-01167-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data,","venue":"Nature Genetics","work_id":"ff84d928-223d-4b5c-916b-1217f0082fcb","year":2022},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.411358Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:1bf0ef37757d28a4a5c17017760653426bb1eb0c84c863a3b606d04989b26c57","observation_id":"15b0fc4e-30b9-4536-8a55-70dee949705b","resolution":{"observed_at":"2026-08-05T15:32:38.335324Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-1-0716-3346-5_6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"The Interactome of Protein, DNA, and RNA,","venue":"Methods in molecular biology","work_id":"a73940a2-ac0d-4224-ac60-a5724c078781","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.414867Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:45625701ef9e804e4fbe915a413be9991ff1ce23bca43ab4959c16d24c31675a","observation_id":"791c2b17-48df-40d7-80c0-5c28010e7134","resolution":{"observed_at":"2026-08-05T15:32:38.324336Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2174/0929866530666230507212638","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Understanding Protein Functions in the Biological Context,","venue":"Protein and Peptide Letters","work_id":"68a0f45e-5f69-43c8-9623-008a38e3d0fe","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.418508Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:bfd28e7dd8ac4969b90887e5c9c7a3092a01c32fb9d27f81c25197b83abc97ca","observation_id":"c7d6f7d8-dae3-4610-9420-87a2041d285d","resolution":{"observed_at":"2026-08-05T15:32:38.313820Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.421976Z","title":"Advancing bioinformatics with large language models: components, applications and perspectives,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.421976Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:48a8514924835cab58d0573a9626d1c757f1fc8e0c5e70bd5e979e6f3a49c0f3","observation_id":"11e9edf6-cc66-4755-9bae-a126f6b63ba7","resolution":{"observed_at":"2026-08-05T15:32:37.421976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41556-018-0098-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mitochondrial OXPHOS complex assembly lines,","venue":"Nature Cell Biology","work_id":"4ee8e056-a741-4c23-8aff-d4269228eb5e","year":2018},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.425793Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:21b5c75260165e3009e361afce1e9ab6fc605f4dfedbced30d2e7183c54ae914","observation_id":"12651d65-e697-4bd3-ba57-5e7827c4770b","resolution":{"observed_at":"2026-08-05T15:32:38.303340Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neurot.2023.10.002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mitochondrial dysfunction in neurodegenerative disorders,","venue":"Neurotherapeutics","work_id":"42c3c158-53c8-40fb-be8f-11191e48d03e","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.429265Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:2e4afeb54486504748e8ee56ab5dbfed39caa7f45e5f69cff125db1a3f3b3005","observation_id":"8df943c2-ab33-40d9-9a0c-522e97af9357","resolution":{"observed_at":"2026-08-05T15:32:38.293024Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41568-021-00358-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mitochondrial DNA variation and cancer,","venue":"Nature reviews. Cancer","work_id":"ead54948-d0cf-41f0-af74-3850afbafea5","year":2021},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.433170Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:11f5e05b9e853cedf95a73e37bae2aefe447b371723be1694584e9bfafe2c867","observation_id":"61b39c23-fa84-4003-933f-09bccff99b5a","resolution":{"observed_at":"2026-08-05T15:32:38.281756Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43018-023-00722-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mitochondrial DNA mutation enhances sensitivity to immunotherapy in melanoma,","venue":"Nature Cancer","work_id":"9204712d-00da-4538-af8d-31e75d9fdc56","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.436698Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:6cdd0a935458fb1a899fd8c68cf0654f75cc32738534aefa2ad8d7451742213b","observation_id":"e9f7a1e0-dd47-413e-ba4c-3c5bf0699ead","resolution":{"observed_at":"2026-08-05T15:32:38.272219Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41574-021-00626-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mitochondrial and metabolic dysfunction in ageing and age-related diseases,","venue":"Nature Reviews Endocrinology","work_id":"cc6a1d4a-8cd3-494f-8e77-8dbac04fd47a","year":2022},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.440430Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:942a370941719b2a08ffebd691bcbb93dd7fd83e86122caf6ce33c7a8fa2f180","observation_id":"9919e9bd-e0c1-43ab-bfb9-495a22dcfb01","resolution":{"observed_at":"2026-08-05T15:32:38.262002Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41423-023-01086-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mitochondrial DNA-triggered innate immune response: mechanisms and diseases,","venue":"Cellular and Molecular Immunology","work_id":"199c8257-e21c-4f76-9279-fcd841d853cb","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.444878Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:cf8101695403401ef179e0b5ad790d3ccb6166fc4e8246b766b58f5d908d3b2a","observation_id":"2baca345-3694-4711-82ff-7d49143036d4","resolution":{"observed_at":"2026-08-05T15:32:38.250638Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s42255-023-00783-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction,","venue":"Nature Metabolism","work_id":"9cfaf31e-0719-4639-a9e3-01bd0eacbe1a","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.448871Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:5a2b7d169c385b7a94455b4821cf30554f35852e6615e0faa7e3756544e1db64","observation_id":"823d931d-1e52-4af8-a997-05b23c2c07e1","resolution":{"observed_at":"2026-08-05T15:32:38.239200Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btz512","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks,","venue":"Bioinformatics","work_id":"9f74666b-5cf5-4499-892b-f4f45f875fa3","year":2020},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.452350Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:09feff65037ef750a4683f60f3a8101a39fef80dbd752eac3a1bca7e43f4a3ec","observation_id":"8429fdcb-4b06-4bbe-93b5-2459cf24b624","resolution":{"observed_at":"2026-08-05T15:32:38.228311Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/nar/24.1.177","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"MITOMAP: a human mitochondrial genome database,","venue":"Nucleic Acids Research","work_id":"3c647b52-7b69-4cd2-84b1-ae28f3b1bc04","year":1996},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.456573Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:d856037f6dad9ebd85bcb1bbfb350dbc1413e4add449d9ff758479f792ad4e7b","observation_id":"271d282d-e30a-4681-b44e-bc08009f3daf","resolution":{"observed_at":"2026-08-05T15:32:38.218264Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/genes14061222","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"MitoTrace: A Computational Framework for Analyzing Mitochondrial Variation in Single-Cell RNA Sequencing Data,","venue":"Genes","work_id":"65a40c80-ab57-4ee8-8686-fe2d72178843","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.460181Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:b62110205110579e8edb792e458b9e2eff6b924bf2f71fa887cef0c3bed6a307","observation_id":"e58922eb-64b5-4bda-9ec1-9b6569be6d7d","resolution":{"observed_at":"2026-08-05T15:32:38.207524Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/nar/gky900","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"CellMarker: a manually curated resource of cell markers in human and mouse,","venue":"Sistema: Revista de ciencias sociales","work_id":"e1fbeb7a-e5b3-4b50-bfbc-850146c0b5d0","year":2019},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.463890Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:3a214e7511c9d2606f8402d0f931c2c903c713303114ed063480504843943ddd","observation_id":"cbcc45bf-b718-4b9d-a6d1-1060413f0951","resolution":{"observed_at":"2026-08-05T15:32:38.197241Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.466990Z","title":"PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.466990Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:cd270a372d469ba1336e0fcb99dffde6e6494325c90a63508c717ab9822874a5","observation_id":"d1f96e83-1a42-44f2-b45a-e9be9dbd340b","resolution":{"observed_at":"2026-08-05T15:32:37.466990Z","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":"2026-08-05T15:32:37.470454Z","title":"Reversed graph embedding resolves complex single-cell trajectories,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.470454Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:a90e9560f6b551db06db3bf2d8826312be9afea83962a268b0a95d5eec046888","observation_id":"ce5c4103-7a3e-48f3-be3b-b62199ec5519","resolution":{"observed_at":"2026-08-05T15:32:37.470454Z","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":"2026-08-05T15:32:37.474485Z","title":"Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM,","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.474485Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:ab4fe0dd31f772cf0cd72376378dce8500f975545725b6c633da6df247c04cc0","observation_id":"0f378313-2c54-4f7e-9add-8f4751b568cb","resolution":{"observed_at":"2026-08-05T15:32:37.474485Z","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":"2026-08-05T15:32:37.478333Z","title":"scIGANs: single-cell RNA-seq imputation using generative adversarial networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.478333Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:14c2e455bb797d561a797fb82f28d138d014ee21b1027bac1d41a6963ed477b5","observation_id":"6ab86dda-c5bd-4266-95f0-ae62ffcdc84f","resolution":{"observed_at":"2026-08-05T15:32:37.478333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/nar/gkab1236","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"CCPE: cell cycle pseudotime estimation for single cell RNA-seq data,","venue":"Nucleic Acids Research","work_id":"bc00cfc0-f783-4dd1-8a63-f492c7c7e1a9","year":2021},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.481916Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:5d386fe6f471921685c469dca11f96f873bcc1e7f09248797150c76b09ecf7fe","observation_id":"e8205563-42b9-4f78-86be-50067fcc01e0","resolution":{"observed_at":"2026-08-05T15:32:38.159675Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/advs.202401815","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A Cell Cycle-Aware Network for Data Integration and Label Transferring of Single-Cell RNA-Seq and ATAC-Seq,","venue":"Advanced Science","work_id":"3a9467e9-9b9d-4383-abde-6ae46f40e12d","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.485032Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:371b1a0ff96f2b026b16efedc22e68c0a30047f0cc2bd5c28ccccdeba151a2a5","observation_id":"41ea0d27-44a7-4e20-b01e-fd42f8885ea9","resolution":{"observed_at":"2026-08-05T15:32:38.149224Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/biom13081242","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"LVPT: Lazy Velocity Pseudotime Inference Method,","venue":"Biomolecules","work_id":"cfc35f22-f6a7-4476-b75e-67f056dd760b","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.488444Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:b4b278e0ee2d55df632770d29db3631fcf003529e67e714d61988e96132dc2a9","observation_id":"5411eb75-5056-4a90-be18-d1f8ecaf7a53","resolution":{"observed_at":"2026-08-05T15:32:38.138213Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/advs.202405861","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"DrugFormer: Graph-Enhanced Language Model to Predict Drug Sensitivity,","venue":"Advanced Science","work_id":"6e24a426-292d-4bdf-9268-a0cf863ebe4e","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.492055Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:c056a1c045a16a48b831ee7eded3fe20a265c97114d9a725314b2450ea4cb4d6","observation_id":"f78e9479-2940-4b20-a928-edb66f90ec78","resolution":{"observed_at":"2026-08-05T15:32:38.127427Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-024-54182-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Digital profiling of gene expression from histology images with linearized attention,","venue":"Nature Communications","work_id":"0379272f-b120-44d7-a131-1e8f40d1e6d9","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.495327Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:0492d2d9ca140b34dc34881892549b09ff3fea9abf4f7d430ff4712afe0eee1c","observation_id":"95788e82-a8dc-4ce9-b98d-d019591c3780","resolution":{"observed_at":"2026-08-05T15:32:38.116824Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-024-50317-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types,","venue":"Nature Communications","work_id":"a6fad480-59bb-4fb1-bcce-1ca03cea1fa0","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.498911Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:8ed649889068643a0201dabd87a9c496569f8f26b36717e4e951dd34ff1dfe1a","observation_id":"66e5620c-f240-4706-a1ef-e36e7eec4f78","resolution":{"observed_at":"2026-08-05T15:32:38.106522Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43588-025-00809-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks,","venue":"Nature Computational Science","work_id":"16aae9b3-edaa-4407-8046-1b9643736a34","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.502207Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:6239e63429fd5e3bb22b5d270fc585090242f5b625c7b1aac69d5ecc4acf9de2","observation_id":"084e4585-43cb-47e8-94f2-bf3e99edba49","resolution":{"observed_at":"2026-08-05T15:32:38.095795Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-023-43172-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images,","venue":"Nature Communications","work_id":"6fe6eb5e-878f-43b4-9f77-2356705e2cd7","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.505930Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:935a4244af97166962469efbf2939c267dd3453c1d16ecf401cbbf27c8614ebb","observation_id":"3c6fdaeb-e914-465d-81e1-8d4fbbca998e","resolution":{"observed_at":"2026-08-05T15:32:38.083211Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-025-58439-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning,","venue":"Nature Communications","work_id":"0d80f614-34b1-4434-aae9-53c878333bc5","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.509347Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:f63e41277335810515577fe9cdd535f4acc2d8a7085f6e8b9000ba46b31d5b3d","observation_id":"62f4411a-2084-48ed-9e94-5debdd5867e6","resolution":{"observed_at":"2026-08-05T15:32:38.072568Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-023-44560-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data,","venue":"Nature Communications","work_id":"61893b12-1b91-4658-a624-5c57c30f3dbe","year":2024},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.512535Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:7ca4486561547b0beb227c0b2be1f250b82dce4aa9f92de947624c4600d8b234","observation_id":"31e37eb0-484c-479b-8995-94739082cff6","resolution":{"observed_at":"2026-08-05T15:32:38.061842Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-025-59448-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Learning tissue representation by identification of persistent local patterns in spatial omics data,","venue":"Nature Communications","work_id":"8a3485a7-970d-4bd2-b3c3-6f5d497c892f","year":2025},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.515725Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:6ebd6b8422ed5e3abb03d993f4d460b4efa856772d203892833fe3178362c7ea","observation_id":"b08ab023-b5dc-44e1-9ac9-758374a040fd","resolution":{"observed_at":"2026-08-05T15:32:38.050703Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/mco2.274","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Organoids: The current status and biomedical applications,","venue":"Populär historia","work_id":"1293b6a0-a074-48ea-b2a9-97fa07fe37d4","year":2020},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.519069Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:36d95fa5de133d9ff702a4289dd5d06afb2c8584e784f76838fdb0122acbfb00","observation_id":"3b2afc2d-ffd8-4141-a093-e6e71ff4423a","resolution":{"observed_at":"2026-08-05T15:32:38.039398Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.522370Z","title":"Finite element modelling of contracting skeletal muscle,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.522370Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:94b14f687d429edfd7fef29c203b2635190f59821076326b7b4aaf36fc310c69","observation_id":"a7d7273d-1530-4fb3-a4d6-b17377884975","resolution":{"observed_at":"2026-08-05T15:32:37.522370Z","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":"2026-08-05T15:32:37.525597Z","title":"Virtual Human Models for Electromagnetic Studies and Their Applications,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.525597Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:30b9204cd8a9f4240cbb3375d6972598057a40da641f38d2c9efab2948ef0b1c","observation_id":"4eb65404-0658-437a-acc2-b2c424e7310a","resolution":{"observed_at":"2026-08-05T15:32:37.525597Z","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":"2026-08-05T15:32:37.529385Z","title":"Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.529385Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:c54491e17367347063d821b71591e3acb9041bc94b59b7abb1410c459aadefca","observation_id":"a6086337-4147-48b2-9e37-e7affc089a36","resolution":{"observed_at":"2026-08-05T15:32:37.529385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/science.adi2392","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Genetic heart–brain connections,","venue":"Science","work_id":"d4c0d1c2-a7cc-40ac-92f7-de87a90eb4f7","year":2023},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.533155Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:9674600f01ef1d743399a88c2c57a571a45507e618b5193846718265862e36bb","observation_id":"9e8fede1-d56f-40dc-8b01-346109fc4377","resolution":{"observed_at":"2026-08-05T15:32:38.021186Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T15:32:37.537021Z","title":"The Gut-Brain Axis and Its Relation to Parkinson's Disease: A Review,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.537021Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:9ce69d9597a00912b8d35a167ab7fb623ad0cf19d0e1f1e845639ac293d49707","observation_id":"6d405581-a67b-437d-8581-cf172281c42c","resolution":{"observed_at":"2026-08-05T15:32:37.537021Z","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":"2026-08-05T15:32:37.540454Z","title":"nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-05T15:32:37.540454Z"},"links":{"citing_paper":"/paper/2508.19800"},"observation_digest":"sha256:5ceaf3048199c67098257359feded4da2ca965e6c37b114847aa80725b9e246b","observation_id":"d912a2eb-e5af-472a-acbc-452636653672","resolution":{"observed_at":"2026-08-05T15:32:37.540454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.19800","last_updated":"2025-08-27T11:35:29Z","latest_version":1,"primary_category":"q-bio.TO","snapshot_observed_at":"2026-08-15T08:46:17.139650Z","submitted_at":"2025-08-27T11:35:29Z","title":"A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":52,"verified_fuzzy":0},"total_outbound_references":136},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 100 of 136 outbound references and 0 inbound Pith citation observations for arXiv:2508.19800."}