{"as_of":"2026-08-18T04:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bd0f6546a420429277992b68983a6e424ecc7b217c2a65bd2c2a5d71da47321a","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:45:17.961848Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2505.02766/citation-record","integrity":"/paper/2505.02766/integrity","json":"/paper/2505.02766/citation-record.json","paper":"/paper/2505.02766"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.487726Z","title":"Resilient machines through continuous self-modeling","venue":null,"work_id":"09415c22-4ace-4fba-bc74-38a0e1aca86a","year":2006},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.814658Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:7cd9084222c511469b243257ef209dbfe7fe017008734c10463711a1365720f9","observation_id":"e391e489-bbb3-4d31-8e4e-bb514ba909ca","resolution":{"observed_at":"2026-08-16T00:45:18.493573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.468067Z","title":"Evolving cell models for systems and synthetic biology","venue":null,"work_id":"713dd153-6234-44bd-8dc5-d4443d5d1d53","year":2010},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.820501Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:3de8c185806f236886234b404f1639975604469b9d1310a45c632019bc52c02f","observation_id":"8d290a1c-d7b6-4e48-83aa-59a2fdb220b6","resolution":{"observed_at":"2026-08-16T00:45:18.473582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.450079Z","title":"Morphological coordination: a common ancestral function unifying neural and non-neural signaling","venue":null,"work_id":"e755467d-b93a-4072-b993-6f627f2561fe","year":2020},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.825805Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:23a2d363929ea8d53139af5c3a05fe786f1e0772accd3129bb38a4182a7bde10","observation_id":"29b91973-1f79-4758-8718-768f2459b609","resolution":{"observed_at":"2026-08-16T00:45:18.455637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.429135Z","title":"Exploring the behavior of bioelectric circuits using evolution heuristic search","venue":null,"work_id":"c8459559-d7ea-48e4-9491-dda0a366791c","year":2022},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.831227Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:c82219a67888d3f6181d0dea426502a70279a699d8989228fdfbf923f24919d9","observation_id":"8f3c0905-899a-42a5-a25a-a2e636933a0c","resolution":{"observed_at":"2026-08-16T00:45:18.435280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.409872Z","title":"Emergence of informative higher scales in biological systems: a computational toolkit for optimal prediction and control","venue":null,"work_id":"f14b05a4-e168-4767-bf99-a357e19c85b6","year":2020},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.837356Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:85d80c3d694ae55e4c959d0a23932c089380f744813fe1404d16f08b619c4f8c","observation_id":"7fe34fcd-80d3-4f65-96e1-bcdb06b4ca7f","resolution":{"observed_at":"2026-08-16T00:45:18.415382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.392484Z","title":"Can the macro beat the micro? integrated information across spatiotemporal scales","venue":null,"work_id":"a13c25e2-5584-4184-9410-6f874c406264","year":2016},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.842928Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:ea0c96948b78d9888cde2a4aa9c28a4c86e415f91172787d3cf3fbd9bf1d9487","observation_id":"a9fafd53-2c72-4065-803b-2eae54c9d93b","resolution":{"observed_at":"2026-08-16T00:45:18.397984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T00:45:17.853484Z","title":"Genetic algorithms","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.853484Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:00695c6a4c11194d3602e3e308349fd817d1baa36dc34f08e1692de6efef7f8d","observation_id":"be9e9264-97a5-4299-9df5-147f745dca99","resolution":{"observed_at":"2026-08-16T00:45:17.853484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.363946Z","title":"Prediction of biomedical signals using deep learning techniques","venue":null,"work_id":"4b83fd23-7d41-45ec-bf4a-c7d50057f541","year":2023},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.858525Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:9287356f17d65b0d39bdb3e2c6fd06e7c3e599956b4a3bf6a24ecd406fd8bd78","observation_id":"af7f431a-288f-40c0-a7d0-52853f9815fb","resolution":{"observed_at":"2026-08-16T00:45:18.369355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.344539Z","title":"Chemical communication in artificial cells: basic concepts, design and challenges","venue":null,"work_id":"a759282e-6e4d-4348-b9f2-d8e60204971d","year":2022},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.863365Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:5e184da3411d60217689891a17e7e9cdb98d0a434c534527d789986f3916a376","observation_id":"f3cc4798-7c11-4c55-9a34-4527114063aa","resolution":{"observed_at":"2026-08-16T00:45:18.351018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.326853Z","title":"Le, Richard Watson, Mike Levin, and Chrys Buckley","venue":null,"work_id":"5e5ea97c-7afe-424c-8ecb-cd65204f8857","year":2024},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.868001Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:71f90da1f0fae310b4f0d216863ec02c7fb2ecbfbba9df06e0cdf0df2b34f328","observation_id":"31f3c09c-d5bf-4395-9e17-42276c1d47a5","resolution":{"observed_at":"2026-08-16T00:45:18.332030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.309652Z","title":"Reprogramming cells and tissue patterning via bioelectrical pathways: molecular mechanisms and biomedical opportunities","venue":null,"work_id":"36042328-a165-472a-8437-195b6476fe04","year":2013},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.872643Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:8250dbc8d4f8c0ea57bca38865364f5169d1d51871f86cf5b95a010003c9f439","observation_id":"9daa8886-4c14-4914-ba8d-b40e969c0352","resolution":{"observed_at":"2026-08-16T00:45:18.315090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.292033Z","title":"The computational boundary of a “self”: developmental bioelectricity drives multicellularity and scale-free cognition","venue":null,"work_id":"5d079b10-47b1-4770-861a-7d50e5b471bd","year":2019},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.877554Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:fc2683a93f5b8ea91d8d5447390ac283f7c2c1d1597daa4be839634a21bd0c42","observation_id":"93135e39-dc72-47b4-b1d4-fa9accc6c887","resolution":{"observed_at":"2026-08-16T00:45:18.297805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.273638Z","title":"Bioelectric signaling: Reprogrammable circuits underlying embryogenesis, regeneration, and cancer","venue":null,"work_id":"4afb23ed-e0f6-40cd-9128-d67e09404e86","year":1971},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.882563Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:a59f67edbedbedd366cd5a7bba61101b357a9909039b187d892537b99fbb91c6","observation_id":"8a277918-5b85-4b75-bd9c-bb45486deb40","resolution":{"observed_at":"2026-08-16T00:45:18.279685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.255970Z","title":"Collective intelligence of morphogenesis as a teleonomic process","venue":null,"work_id":"7047f478-5e33-46d3-8da2-7e0eb34262b4","year":2022},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.887208Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:4d9112a76094b741001221c82d6492b934b3f129e9e8c573f661fee86c49f932","observation_id":"38bc266b-b625-49ba-a625-cae3453af2b2","resolution":{"observed_at":"2026-08-16T00:45:18.261326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T00:45:17.892409Z","title":"Llava-next: Improved reasoning, ocr, and world knowledge, January 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.892409Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:78cc09dee665d4a8b260b97c81b266a3a5f134b89575bb40ecea17af0c4254fa","observation_id":"2680667f-2293-4c82-9303-2caf9f9640b1","resolution":{"observed_at":"2026-08-16T00:45:17.892409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.227532Z","title":"Deep learning for cellular image analysis","venue":null,"work_id":"134b1a2e-10e4-4324-856d-3fc53362b889","year":2019},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.896834Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:e7a7db1a39128956b8613e1901d10af5a2ecc93b65ca0e77b5d7d6c1a7cb4e86","observation_id":"bdbe5aa2-5c56-4261-895e-d604744bff80","resolution":{"observed_at":"2026-08-16T00:45:18.232843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T00:45:17.901450Z","title":"Gpt-4 technical report, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.901450Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:306b3e331731ba4aeb78a2f441105a726ca9382b453d061392c5cb60e4e1070b","observation_id":"e5237661-fa8d-4b01-872e-c01a6b394536","resolution":{"observed_at":"2026-08-16T00:45:17.901450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.198643Z","title":"A derandomized approach to self-adaptation of evolution strategies","venue":null,"work_id":"c8bd99c3-0338-4724-a657-a0c0e0a92458","year":1994},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.906207Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:66ee3dc99e9bf148dc53797f78b6b7da0ac86501dd3d60234498c7d0fa80ff4a","observation_id":"5262d885-1f2e-4280-adc1-00a0e25222a0","resolution":{"observed_at":"2026-08-16T00:45:18.204046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.179570Z","title":"Top-down models in biology: explanation and control of complex living systems above the molecular level","venue":null,"work_id":"de43985f-5c95-4b5b-a45d-591aaf7fa00a","year":2016},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.911097Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:124fcfa1ec761605bb0650772b42fed6d161a1a64bac860defa3287a536fe8f6","observation_id":"d1d9575e-37fb-4479-8728-b52954c6e4f9","resolution":{"observed_at":"2026-08-16T00:45:18.185556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T00:45:17.915827Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.915827Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:1a8ae41b2954a0b345da2936b78f6c90783262131f8785d496b697d1e0ac886b","observation_id":"b6ba6ec6-752f-4fa2-9d30-ff156752d6e9","resolution":{"observed_at":"2026-08-16T00:45:17.915827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.149834Z","title":"An evolutionary approach to synthetic biology: Zen and the art of creating life","venue":null,"work_id":"c8457c00-702a-4b60-adde-64b381264fa8","year":1993},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.921585Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:5511399beacbdd2b360bf6c628cca326e13a78cbfe39aed6ce379549c1529f5f","observation_id":"e13a8e38-b9ce-441c-8bc9-03c1df6987fc","resolution":{"observed_at":"2026-08-16T00:45:18.155476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.03864","last_updated":"2017-09-07T23:28:48Z","snapshot_observed_at":"2026-08-14T21:12:24.197125Z","submitted_at":"2017-03-10T23:02:19Z","title":"Evolution Strategies as a Scalable Alternative to Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.03864","snapshot_observed_at":"2026-08-16T00:45:17.926294Z","title":"Evolution strategies as a scalable alternative to reinforcement learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.926294Z"},"links":{"cited_paper":"/paper/1703.03864","citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:1cde62b675f51172235675ce5c619bbedaf56a1cf41439dbe1ea3b63009fb597","observation_id":"74c832d4-23e3-4eb6-8c48-577f8f887dde","resolution":{"observed_at":"2026-08-16T00:45:17.926294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.130022Z","title":"Swarm robotic behaviors and current applications","venue":null,"work_id":"b8013232-f0ab-4af4-aa3f-48c97d308ee9","year":2020},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.931211Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:0b03f565df6da7216e63fe35c08e186b5221c87ba845acded9aa3c79258a314d","observation_id":"f1c7b827-f486-4671-af4e-a8836cba9212","resolution":{"observed_at":"2026-08-16T00:45:18.136982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.111667Z","title":"Designing neural networks through neuroevolution","venue":null,"work_id":"916d3b39-be3d-4a02-867e-03951c258873","year":2019},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.935915Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:67d23469af076911950b01907b9c1a805e01db40b56b03424bbf66c6e000be99","observation_id":"63bcbc9d-669b-4fc5-94b3-8054486db56e","resolution":{"observed_at":"2026-08-16T00:45:18.117169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.093926Z","title":"Ultrasonic bioreactor as a platform for studying cellular response","venue":null,"work_id":"a2841cd1-3362-4eb5-b980-a4d1ab8fc951","year":2013},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.940714Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:afe6bff3e231da35d7a7e50a28805e3692294f89d7d42ead1cf76e616d66773c","observation_id":"099dc484-6ce2-44b9-ac65-d3306521264b","resolution":{"observed_at":"2026-08-16T00:45:18.099762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08623","last_updated":"2025-03-10T16:17:30Z","snapshot_observed_at":"2026-08-16T13:35:01.742308Z","submitted_at":"2024-07-11T16:00:22Z","title":"Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08623","snapshot_observed_at":"2026-08-16T00:45:17.945443Z","title":"Surpassing cosine similarity for multidimensional comparisons: Dimension insensitive euclidean metric (diem)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.945443Z"},"links":{"cited_paper":"/paper/2407.08623","citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:f4502e9effd52b5788a95bc35aeb7b9da53606ba188e3165551c3efb048e3b3c","observation_id":"1f7c4837-12ec-4fec-a3a1-ec1ca9a81968","resolution":{"observed_at":"2026-08-16T00:45:17.945443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.075807Z","title":"Evolving aggregation behaviors in a swarm of robots","venue":null,"work_id":"6f7427aa-dd8c-4e61-8475-9e0077c721f8","year":2003},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.950694Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:dd66c1efa5485bbedfba3b800634b604cb08b525e3728e71ec990a039bdcd770","observation_id":"d56d3181-420f-46e1-ab96-3c3a4b1e6adb","resolution":{"observed_at":"2026-08-16T00:45:18.081269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.058101Z","title":"moondream2 (revision 92d3d73), 2024","venue":null,"work_id":"a8a5af39-4b38-4e08-bc5a-a92137c48605","year":2024},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.955762Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:dc30912d5e3b5af67d26c6dbf117ab75e5d043c89092ea3668b17c441ba1b539","observation_id":"ef12b44f-3154-4d49-a5b0-cb53f89ed124","resolution":{"observed_at":"2026-08-16T00:45:18.063192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:45:18.036555Z","title":"Distance-based protein folding powered by deep learning","venue":null,"work_id":"d2786c37-7c73-4528-9a02-c552b1c1d1ef","year":2019},"citing_paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T00:45:17.961848Z"},"links":{"citing_paper":"/paper/2505.02766"},"observation_digest":"sha256:b279bed47aa6abab3ca69bb40b63af7f1915c629349528160a5dffce92c049b2","observation_id":"5b578f38-4a21-4acb-a703-76e501f0511b","resolution":{"observed_at":"2026-08-16T00:45:18.045084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.02766","last_updated":"2025-05-05T16:21:46Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T00:38:59.394649Z","submitted_at":"2025-05-05T16:21:46Z","title":"Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":23},"total_outbound_references":29},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.02766."}