{"as_of":"2026-08-15T14:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:48dce20de8a9b498f648c1079bf6a0e26a100c2f3e55efb5086abd4b1698da52","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:57:00.016104Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2508.15561/citation-record","integrity":"/paper/2508.15561/integrity","json":"/paper/2508.15561/citation-record.json","paper":"/paper/2508.15561"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:56:56.525179Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:56.525179Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:8cd2bc055911e250a0757341bb12b34854d811a073b8121e492198715a6e08ea","observation_id":"05a4de23-dd21-4f31-8458-e622cb33a34a","resolution":{"observed_at":"2026-08-05T17:56:56.525179Z","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":"2026-08-05T17:56:56.572164Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:56.572164Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:66d579aa2dfc2f76cdb4f35b1852fce091c443483dbef4c4e66edc5164ee7a93","observation_id":"7e35f646-3f33-4a0d-aab7-40f9ac7228d1","resolution":{"observed_at":"2026-08-05T17:56:56.572164Z","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":"2026-08-05T17:56:56.672452Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:56.672452Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:c945e2e08828932b86a83e654f6f478adb5f1f9e556bb70697f6ba1237aa0edc","observation_id":"ddca3ff5-e4aa-4ca5-88fd-dff10a4b5373","resolution":{"observed_at":"2026-08-05T17:56:56.672452Z","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":"2026-08-05T17:56:56.750462Z","title":null,"venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:56.750462Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:38d7ff4f133586f7970f2fb4a332d1489c0d502e664276bf6602a5fc12328f1d","observation_id":"76f0b8ee-bc47-435b-a4de-363d1ba94566","resolution":{"observed_at":"2026-08-05T17:56:56.750462Z","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":"0177.00201","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:57:01.099987Z","title":null,"venue":null,"work_id":"d9c1b044-d951-4cea-8040-0532d680592a","year":1971},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:56.811497Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:6a773712b42f7248ce7d1586e8f17c306e916e2c3268b72018f9867ee57c5feb","observation_id":"97c53dbb-bcef-44b7-a2a3-6f6f6b3cef2e","resolution":{"observed_at":"2026-08-05T17:57:01.112527Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.365310Z","title":null,"venue":null,"work_id":"dd0b3966-e69b-4ac2-a3d5-22df46897e96","year":1976},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:56.901312Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:bb052f9c8d5db5fbc04ecb42b1b015bfa5cefd55cbfa47905e8acc854899b155","observation_id":"f072b40b-9b7c-41d3-9361-1c95de005af1","resolution":{"observed_at":"2026-08-05T17:57:01.370389Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.348178Z","title":"Annual Review of Fluid Mechanics 47, 343–375 (2015) https://doi.org/10.1146/ annurev-fluid-010313-141426","venue":null,"work_id":"a98b89d9-7b19-4946-8f8f-bbe5028fd6b9","year":2015},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:56.971457Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:af21cf39dc02482814125655c458fdb962482ded4c75322887a62617ca1fde4a","observation_id":"15e9f3cb-76e0-41d1-b557-4f3bf808c8f1","resolution":{"observed_at":"2026-08-05T17:57:01.353067Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.332504Z","title":"Nature Reviews Physics 2(2), 74–88 (2020) https://doi.org/10.1038/ s42254-019-0129-0","venue":null,"work_id":"c52ca979-714f-4e1a-9049-353885469163","year":2020},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.049739Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:30700497540876ca9ccdf10bbdb1a9e47505228c6fb9b8b41fcdb7d14828735d","observation_id":"ca22aa92-0529-4d08-afb9-7e106e2607db","resolution":{"observed_at":"2026-08-05T17:57:01.338033Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.317210Z","title":null,"venue":null,"work_id":"f1fb7449-fbc7-4384-a8c6-677bd755e251","year":2023},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.098283Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:6f53f7cce27204d6b741c46d104149f9f381048191454b5ba436cdeb8a0a6254","observation_id":"799f8fbd-a3d5-4747-8160-3f8474020016","resolution":{"observed_at":"2026-08-05T17:57:01.322346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.105.168102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Physical Review Letters","work_id":"b4658e29-d2c9-495b-8988-408822e35c56","year":2010},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.189016Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:5ffba246bbefc753025a93f471d6c8894d9b06fd6b3d92aadd2fa0a41aed2219","observation_id":"d1de2584-fba5-4f97-beda-bba16936a8e4","resolution":{"observed_at":"2026-08-05T17:57:00.589356Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:56:57.312623Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.312623Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:a2112bd1a79e664dd663c43bd15db05b3ab76cc10b7fcd553ea1a4825f40bcb4","observation_id":"ce34be18-1f61-4805-a344-47a18b48d265","resolution":{"observed_at":"2026-08-05T17:56:57.312623Z","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":"10.1103/physreve.92.063019","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 92(6), 1–6 (2015) https://doi.org/10.1103/PhysRevE.92.063019","venue":"Physical Review E","work_id":"ed1eae29-407f-4286-af0c-a41859db4c38","year":2015},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.396059Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:91e29d34d8b6718f8c592d286ef4ac0bab6ccb47225ee4a0699d1624390041d8","observation_id":"ed7a1a0b-2573-42ac-a0e0-73a26d011892","resolution":{"observed_at":"2026-08-05T17:57:00.562199Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/jfm.2012.101","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Journal of Fluid Mechanics","work_id":"4614cd4f-9b48-4fc9-b5d4-d7047ae2a089","year":2012},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.523830Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:3ee842ed86a3842af692645c47bc70c96172a6122c1ed05208becc4745d84bf0","observation_id":"91d7ad7d-3137-4b89-887c-a0030a8a8e95","resolution":{"observed_at":"2026-08-05T17:57:00.545373Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.115.038101","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Physical Review Letters","work_id":"2e6c91c8-50f7-4d04-8bb0-ff12fa7e5cb2","year":2015},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.602567Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:5a184a363edcf65e8dc0413ed01fb9ba0cf3e632cb3c1e6050741c3153055be7","observation_id":"87244bc2-cf5c-44ba-b01d-b22363e8fb9d","resolution":{"observed_at":"2026-08-05T17:57:00.527275Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.95.204501","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Physical Review Letters","work_id":"71a58fdc-5ea9-4273-b2e5-9f89344fac4e","year":2005},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.709424Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:e2f6d4bb40e14a5a06510bfc41325b7ef5ad6ba52d483f95709b958409c4d4e5","observation_id":"ff304718-3881-4fc7-ab08-8db67a1fae2e","resolution":{"observed_at":"2026-08-05T17:57:00.509339Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:56:57.795946Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.795946Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:fbe58f2b86d9ccd87c42e794633974014d85a3c5286f15de353117b7338bf6e0","observation_id":"e3b5e4bc-6c0b-45c3-a013-1b793d145316","resolution":{"observed_at":"2026-08-05T17:56:57.795946Z","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":"2026-08-05T17:56:57.888452Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:57.888452Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:53e8c0ea96a85ee8b3d459a5d596412df23a4faf41e124947a8092888e6849c0","observation_id":"062eb633-20c7-45fb-9d6a-408798dc1b9a","resolution":{"observed_at":"2026-08-05T17:56:57.888452Z","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":"2026-08-05T17:57:01.301895Z","title":null,"venue":null,"work_id":"efc7a6fe-e3ef-42f8-b0e8-11d6f4575a29","year":2015},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:58.035397Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:e12ebe55c79d14d450ecdb2fe3ca391df54f27053042a0a51e43a98c079f3d39","observation_id":"0c48e2eb-67ce-42eb-9542-07c6a5af6664","resolution":{"observed_at":"2026-08-05T17:57:01.306589Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:56:58.227956Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:58.227956Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:5ac27fca42b7b15d7abd485b8b1d5f13ec242e16b3856b6902676dba4dbeae9c","observation_id":"235bdaff-9a95-411f-a93f-8b53095f60a7","resolution":{"observed_at":"2026-08-05T17:56:58.227956Z","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":"10.1073/pnas.1011185108","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Proceedings of the National Academy of Sciences of the United States of America 108(3), 1001–1006 (2011) https://doi.org/10.1073/pnas.1011185108","venue":"Proceedings of the National Academy of Sciences","work_id":"cee5156f-9214-4310-ab45-3cdea4606679","year":2011},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:58.393068Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:549e3f0f61d013b4554b46ba61aa04a952097565bda810433b9e390f129fe581","observation_id":"6c80ce1d-c52a-4c65-97b3-cbc43f1bac1d","resolution":{"observed_at":"2026-08-05T17:57:00.456302Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.286255Z","title":"Biophysical Journal 100(11), 2716–2725 (2011) https://doi.org/10.1016/ j.bpj.2011.05.001","venue":null,"work_id":"46a50602-8a32-4d39-9e98-75ff223b3cb1","year":2011},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:58.567456Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:f6d1481b03a7f3db86452de41bb9cb6f92b5082da0c34b11e5a987c01dc588c3","observation_id":"6c3149b2-16aa-4ddd-957c-4b0f82bf1e03","resolution":{"observed_at":"2026-08-05T17:57:01.291432Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.109.138102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Oleana: Cuadernos de Cultura Comarcal","work_id":"83ae84dd-89dc-4dc4-92a8-fedda6e774c7","year":2012},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:58.782367Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:5b3fe82a453ff3db62b69c87ba69c32101c2eab99d37514a134e8a7012f121f5","observation_id":"6b007db1-9a4f-4172-97f9-49e98bf1e5b8","resolution":{"observed_at":"2026-08-05T17:57:00.438328Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:56:58.955455Z","title":"New Journal of Physics 15 (2013) https://doi.org/10.1088/1367-2630/15/ 4/045005","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:58.955455Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:05a12332984dca7e76e308c621af6941018498a6a60152b53242e4fc46f5bc80","observation_id":"bf100b22-4c62-42cd-9a6d-006889a26950","resolution":{"observed_at":"2026-08-05T17:56:58.955455Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.110.148102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Physical Review Letters","work_id":"92f7b37e-2e6b-4164-acda-5df094f6f39c","year":2013},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.097859Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:d449c36698ea8f89094d8cefb4e365e7edb24303ca7eeea61246865d8e9f5aaf","observation_id":"8189ffdb-8ac3-40a9-a954-8eef869d5a8e","resolution":{"observed_at":"2026-08-05T17:57:00.409181Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1367-2630/15/7/075028","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"New Journal of Physics 15(7) (2013) https://doi.org/10.1088/1367-2630/15/7/075028","venue":"New Journal of Physics","work_id":"b281e043-3c2d-4b00-8f1e-b4dc7b7adeef","year":2013},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.356872Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:0f26bb3579d880df06d5d628d084d3d235b77def37597e813c11f921ab768b13","observation_id":"6539f884-bb04-46bb-b496-79c8437c22f0","resolution":{"observed_at":"2026-08-05T17:57:00.388153Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physreve.96.052610","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Physical Review E 96(5), 1–8 (2017) https://doi.org/10.1103/PhysRevE.96.052610","venue":"Physical review. E","work_id":"a1eafcd4-1c48-46ff-b607-7dc1c3a25431","year":2017},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.477173Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:85f78b728002b142014f9ef4cc57be28da282400acd657cff1cdf8ffcc88d2a4","observation_id":"e8eb2421-c9e2-4f80-b482-7f1530705010","resolution":{"observed_at":"2026-08-05T17:57:00.369747Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.0912455107","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Proceedings of the National Academy of Sciences of the United States of America 107(17), 7669–7673 (2010) https: //doi.org/10.1073/pnas.0912455107","venue":"Proceedings of the National Academy of Sciences","work_id":"d1f3368d-b5fa-4fcc-86f7-a0d5a5dbf754","year":2010},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.707303Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:d880ecd6733635185cb3aaeb42f8c7b4407eb5c0ae47b67627a9957b9b9c5604","observation_id":"0266d846-e711-487c-8354-88074ad78e93","resolution":{"observed_at":"2026-08-05T17:57:00.352625Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.1107889108","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Proceedings of the National Academy of Sciences of the United States of America 108(38), 15727–15732 (2011) https://doi.org/10.1073/pnas.1107889108","venue":"Proceedings of the National Academy of Sciences","work_id":"00a69869-fa06-4d0e-895a-f5ac889d09ef","year":2011},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.872733Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:63a1f19089043626ad60f70eca6f97b54aa667682eef4c5d94d92428997f6b67","observation_id":"40bf052e-97c6-44fa-9f5a-d95731e61a24","resolution":{"observed_at":"2026-08-05T17:57:00.335432Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.270532Z","title":"European Physical Journal E 34(4) (2011) https://doi.org/10.1140/ epje/i2011-11042-7","venue":null,"work_id":"81edc338-e392-40a9-a16c-d79f82667d97","year":2011},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.882719Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:47f23bde66b9bb0d44dfbe5c2e5e29240334401f5bdb2e0442999911970d25d1","observation_id":"7e4260f7-557c-4aad-a885-bce47c0af077","resolution":{"observed_at":"2026-08-05T17:57:01.275468Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physreve.97.023102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Phys- ical Review E 97(2), 1–9 (2018) https://doi.org/10.1103/PhysRevE.97.023102 21","venue":"Physical review. E","work_id":"c4b8b20e-a47b-49a3-8b11-d52631869d1d","year":2018},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.886898Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:6c971db785a04cff12301014140c8fa1c04803474c6e0741fc05e000217d0b00","observation_id":"6fdc379c-0770-4b46-a27f-8ba0dc7f7c1e","resolution":{"observed_at":"2026-08-05T17:57:00.318714Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physreve.98.043104","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Physical Review E 98(4), 1–9 (2018) https://doi.org/10.1103/PhysRevE.98.043104","venue":"Physical review. E","work_id":"6751a56f-6d84-411d-9337-acfeef35200f","year":2018},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.891535Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:387c708e96bf29a45637c92c69dcec96096d02ef48859bb37052e0416f642ecf","observation_id":"d5dc4ff3-a5f6-4be8-af80-509b5de1006d","resolution":{"observed_at":"2026-08-05T17:57:00.302389Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.254215Z","title":"New Journal of Physics 21(11) (2019) https://doi.org/10.1088/ 1367-2630/ab4fc2","venue":null,"work_id":"57dd50a6-c9e1-4d80-9155-d1540f036fc1","year":2019},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.896364Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:392e5faa33b5321e7ab50d2be9e4efb2c78bab2e7b1cb6abd4065473d394193a","observation_id":"9d991d45-50e3-4e34-ad46-0beccd02c536","resolution":{"observed_at":"2026-08-05T17:57:01.260232Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.239386Z","title":null,"venue":null,"work_id":"b3e9cc18-1473-45fe-8802-5b46e91c95bd","year":2021},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.900713Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:d28e1e2648d1f50091e4dcebd4ba2f92e6966b30e921887ae7f0a7e5bd9ff70c","observation_id":"8c0d2802-c23c-48ab-9144-b428cc4a588e","resolution":{"observed_at":"2026-08-05T17:57:01.244119Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/0953-8984/17/14/","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:57:00.279872Z","title":null,"venue":null,"work_id":"82c3a85a-7c4f-41b3-b989-de417b2e619f","year":2005},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.905728Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:939d2908ca03adb2372fe2202dadf38f55b08eae5c148e0d70f8573b1679b04c","observation_id":"1b6ab301-d56c-4e7b-a8a4-068b3bd0da08","resolution":{"observed_at":"2026-08-05T17:57:00.285475Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1137/1018040","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"SIAM Review 18(2), 161–230 (1976) https://doi.org/10.1137/1018040","venue":"SIAM Review","work_id":"c83d1a45-1c82-4e6c-830b-edf1b80d0d7f","year":1976},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.910341Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:0895e6519196412b1ef2ea072b5a4715993740c261fa0423ec01db39b0c398bb","observation_id":"25061a10-f250-4d38-9a77-65222f240528","resolution":{"observed_at":"2026-08-05T17:57:00.267988Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.223939Z","title":"Journal of Fluid Mechanics 66(2), 391–415 (1974) https://doi.org/10.1017/ S0022112074000279","venue":null,"work_id":"ae4e9591-b48f-4158-839d-97dbd8edf17f","year":1974},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.914961Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:a6bae301c4cfd3a84f2111e5079e5260c661983b86386031e08020a05db10c64","observation_id":"338edb44-074b-4264-9eaf-3ef0cdcf0e5a","resolution":{"observed_at":"2026-08-05T17:57:01.228832Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00332-007-9013-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Journal of Nonlinear Science18(3), 277–302 (2008) https: //doi.org/10.1007/s00332-007-9013-7","venue":"Journal of Nonlinear Science","work_id":"a4f8b47b-6ec8-46d3-aaf6-0e21cb0c2abd","year":2008},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.919486Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:88214d27f6e83c1fffd6f31318934e24fb7a6698b801c41b0e8566b5c42d847b","observation_id":"14619da4-5139-483b-a132-e1818a686611","resolution":{"observed_at":"2026-08-05T17:57:00.249011Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.208154Z","title":"IEEE Transactions on Robotics35(4), 1014–1033 (2019)","venue":null,"work_id":"83a50f28-def8-4f12-a8c7-8a624050847d","year":2019},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.924405Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:25f18e688f11078cf54935c3a5936b8ba1fd16ff8fc0eb6ff01dc9c422990bab","observation_id":"e84a5c2b-5254-4f89-a034-975170343bc5","resolution":{"observed_at":"2026-08-05T17:57:01.213167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.7566/jpsj.92.121005","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Journal of the Physical Society of Japan 92(12), 1–13 (2023) https: //doi.org/10.7566/JPSJ.92.121005","venue":"Journal of the Physical Society of Japan","work_id":"bd5c0114-4309-4acd-baf8-69ced73cb9ec","year":2023},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.928781Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:78cd3e307a700a2bdacf88dbc35db024b315fd3d0e279aa1d66211832536eb89","observation_id":"ffd292bf-eedd-44bb-8322-3fd9731eb7cd","resolution":{"observed_at":"2026-08-05T17:57:00.231438Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1140/epje/i2008-10406-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"European Physical Journal E 28(3), 279–284 (2009) https: //doi.org/10.1140/epje/i2008-10406-4","venue":"The European Physical Journal E","work_id":"e3427ef1-c79c-42b4-8880-c768eff222b2","year":2009},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.933452Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:41092fe2d04dfb2e716ec3f2872a0b1a2b767ed2257b01f38f5d8d5697d94978","observation_id":"94361b19-4e37-4a16-98ef-02485f2faf1c","resolution":{"observed_at":"2026-08-05T17:57:00.211665Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.192295Z","title":"Applied Sciences (Switzerland) 9(19) (2019) https://doi.org/10.3390/ app9194023","venue":null,"work_id":"05b76226-5565-4341-9b19-462195e1e1ab","year":2019},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.938116Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:4429e2aff74d2419aff5eefd9109943c3a4d2532d4ac29ddf304bbbc57946699","observation_id":"0f8ddc93-5c12-4537-8094-836d9d286dc1","resolution":{"observed_at":"2026-08-05T17:57:01.197439Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.176185Z","title":null,"venue":null,"work_id":"9073bb28-56ec-461d-9288-1d6898dbdf73","year":2020},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.942420Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:d8388af5943233c336e683f294386461bb3c7b8ee42a2ce2a97555298e521113","observation_id":"c88fce51-e477-48e7-af53-175d7b01cec6","resolution":{"observed_at":"2026-08-05T17:57:01.181434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.2019683118","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Proceedings of the National Academy of Sciences","work_id":"9dda13c9-994c-454f-a604-ce2d09d8e8be","year":2021},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.946760Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:e2a2f45e06bc2da897641f0b6e7dc867fa7b7a6122acda58075d012532570bbd","observation_id":"0c95e443-651e-4e8b-82a8-c28959f5c0f0","resolution":{"observed_at":"2026-08-05T17:57:00.191286Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s42005-025-02101-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Communications Physics","work_id":"3ac6e765-535e-401c-a6da-c6ad8528456a","year":2025},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.951569Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:dbbb18f1c84d019db936cceaab9c43a2268e6765029dd677b95bcc1ad994b2d3","observation_id":"d0528ef0-42bd-45df-990f-1107e850de4e","resolution":{"observed_at":"2026-08-05T17:57:00.169851Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.10465","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:57:00.973181Z","title":"Robotics and Autonomous Systems 175(February), 104659 (2024) https://doi","venue":null,"work_id":"d9fab8ae-6658-4626-a448-7f02cc7e17ae","year":2024},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.955736Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:fd058b836c9f5ed5113e001f6ba24f5f80f574778d3405ca4d674b6ea90e2f55","observation_id":"35caabfd-6eee-49da-a233-2f36537dafdb","resolution":{"observed_at":"2026-08-05T17:57:00.982265Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/5.0053563","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Physics of Fluids 33(6) (2021) https://doi.org/10.1063/5.0053563","venue":"Physics of Fluids","work_id":"62db1710-1b3d-4f21-8046-e668c614191d","year":2021},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.959843Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:b3b5e3ec2adf98582a8019cec47e373836c17fc9b39efc59c15b06d2829de543","observation_id":"2464531f-0200-459e-b1f9-71c6a105be14","resolution":{"observed_at":"2026-08-05T17:57:00.147045Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-05T18:20:32.21843+00:00","source":"paper_reference_links","state":"open"},"event_date":"2021-07-01","event_type":"correction","notice_doi":"10.1063/5.0060729","provenance":{"observed_at":"2026-07-11T03:08:27.845905+00:00","source":"crossref","source_record_id":"10.1063/5.0060729->10.1063/5.0053563:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s42005-022-00935-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Commu- nications Physics 5(1), 1–9 (2022) https://doi.org/10.1038/s42005-022-00935-x","venue":"Communications Physics","work_id":"910aa9d7-961c-41f3-92f5-a983caa7b192","year":2022},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.964233Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:e17ba391e188e532cdb86768918f8c1621b381334a8fdae29da831b953ea348a","observation_id":"9fed5c1f-b6b7-4419-a361-878dee0ba8fd","resolution":{"observed_at":"2026-08-05T17:57:00.127403Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/5.0140662","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Physics of Fluids 35(3) (2023) https://doi.org/ 10.1063/5.0140662","venue":"Physics of Fluids","work_id":"bdd1d4fd-c6f1-4ebc-9cba-3b85ea35f378","year":2023},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.969594Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:dd895e4985e93436db1a9be9c1a65178cae5aa7059c1b3c0e89a6ea72f96c46a","observation_id":"bf7f0bbe-02fb-4449-a47f-f545dc36a79c","resolution":{"observed_at":"2026-08-05T17:57:00.106150Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07346","last_updated":"2024-08-14T07:41:04Z","snapshot_observed_at":"2026-08-12T23:03:55.076172Z","submitted_at":"2024-08-14T07:41:04Z","title":"Enabling microrobotic chemotaxis via reset-free hierarchical reinforcement learning","version":1},"cited_work":{"arxiv_id":"2408.07346","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.07346","snapshot_observed_at":"2026-08-05T17:57:00.888184Z","title":"Enabling microrobotic chemotaxis via reset-free hierarchical reinforcement learning","venue":"cond-mat.soft","work_id":"d6d138da-13e4-409f-8576-0a02e117ccae","year":2024},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.974023Z"},"links":{"cited_paper":"/paper/2408.07346","citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:1c2a908c3f17e9b28f67d928fa4b095ea786ba50492a95d7d4e038175fb4f4a1","observation_id":"560ab3a5-8951-4949-b496-38ca45614f9c","resolution":{"observed_at":"2026-08-05T17:57:00.896090Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.10766","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:57:00.862229Z","title":"Com- munications in Nonlinear Science and Numerical Simulation 128(October 2023), 107666 (2024) https://doi.org/10.1016/j.cnsns.2023.107666","venue":null,"work_id":"51d69079-b5b9-4fc0-b0ea-c006472d74ea","year":2023},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.978946Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:06f89c545ab6d2319f69a1c7e160cfac4ee90f852dd5962a7de77a8a6af79175","observation_id":"a6dd5dbb-3ff8-4e12-95b8-9c03f3366346","resolution":{"observed_at":"2026-08-05T17:57:00.870190Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-023-36305-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Scientific Reports 13(1), 1–10 (2023) https://doi.org/10.1038/s41598-023-36305-y","venue":"Scientific Reports","work_id":"7d9fccb7-de0c-4bce-b34f-a603d9070d06","year":2023},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.983722Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:5373ef438fb2cd5c437217b86e94eb4c37b5e670d0d0309898e81a9afdd4e99f","observation_id":"2fdf18a9-3a1a-43ad-b6b9-4ea804387845","resolution":{"observed_at":"2026-08-05T17:57:00.084281Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.156691Z","title":"Dover Publications Inc., Mineaola, New York (2005)","venue":null,"work_id":"1c84f4cc-ecbf-4ce2-ade4-826be92077f7","year":2005},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.990238Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:6b9ad76c288dc5e866258cf70b11a3b481bc323a87353de26143769506a8575d","observation_id":"fed48a7d-77b3-4cab-90d3-30b1f2b1a5cc","resolution":{"observed_at":"2026-08-05T17:57:01.164014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.12049","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:57:00.773869Z","title":"Expert Systems with Applications 231(April), 120495 (2023) https://doi.org/10.1016/j.eswa.2023.120495","venue":null,"work_id":"5e41cea3-d344-4d24-bb04-92d078509ccb","year":2023},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.994904Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:3b3b7a50f4a9b4faa717b6629b25b0959aed9a363287fb4839edc437ae8c3b96","observation_id":"57eb8074-efa6-4c40-9a29-27d7bce5d323","resolution":{"observed_at":"2026-08-05T17:57:00.782095Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.141143Z","title":"Evolutionary Computation 10(2), 99–127 (2002) https://doi.org/10","venue":null,"work_id":"8011a2d3-f2c1-4a3c-8098-ae6aaac7f5fe","year":2002},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T17:56:59.999534Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:f2b9878557918a809170d9ddbc98ffa5457c67d95d6b5fc49df2dd8b8497c870","observation_id":"ce50f2a2-27e0-4dba-8e0c-0f34146e4d7c","resolution":{"observed_at":"2026-08-05T17:57:01.146221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T17:57:01.124145Z","title":"379–425 (2022) 24","venue":null,"work_id":"2708f956-ac0a-49ff-859d-2a0a69b73baf","year":2022},"citing_paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T17:57:00.016104Z"},"links":{"citing_paper":"/paper/2508.15561"},"observation_digest":"sha256:b7d48cc8af68e9d43999c9593bd5b81eab85e0d584638646972587cd0d2c0061","observation_id":"0bdf17ed-fb48-4538-9cf7-465e4691398f","resolution":{"observed_at":"2026-08-05T17:57:01.129536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.15561","last_updated":"2025-08-21T13:39:25Z","latest_version":1,"primary_category":"cond-mat.soft","snapshot_observed_at":"2026-08-13T17:58:50.094255Z","submitted_at":"2025-08-21T13:39:25Z","title":"Reinforcement learning of a biflagellate model microswimmer"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":10,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":12,"verified_exact":24,"verified_fuzzy":4},"total_outbound_references":55},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2508.15561."}