{"as_of":"2026-08-16T10:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65d21765db3cb6737abb85fdab53f2853c5b71d2d3add41016f6657d67454ba6","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:02:03.394556Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.03936/citation-record","integrity":"/paper/1908.03936/integrity","json":"/paper/1908.03936/citation-record.json","paper":"/paper/1908.03936"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.690738Z","title":"The development of motor behavior,","venue":null,"work_id":"56cdc388-b391-4555-aeb2-858a97df4d8c","year":2017},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.302141Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:2d27c183360e64a9a904772c7753a4212c06d53ba59ab57ddff2ac062e743074","observation_id":"1927822b-10a4-442a-b401-63564570d782","resolution":{"observed_at":"2026-08-14T14:02:03.693850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.682133Z","title":"Probabilistic movement primitives,","venue":null,"work_id":"703048b3-73fa-4d95-8b4d-04f55fcaa6aa","year":2013},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.306156Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:2ccf62f7d0fdfe44e02b45d8d4585d687425aee07fc9c7f764c8cb9981c9d346","observation_id":"533a9f9b-8c90-4ad7-b597-340b405c03be","resolution":{"observed_at":"2026-08-14T14:02:03.684954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.673291Z","title":"Transfer learning for reinforcement learning domains: A survey,","venue":null,"work_id":"a57d1a64-8a0e-40bc-9d46-e384606ca819","year":2009},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.309471Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:75f8ebef8c6efdb9cf7d8b43e1ea8a7b2dbdc0bb3d98b63931700bc31033e7c2","observation_id":"bef87b1f-d9df-48d4-a214-ba4099f20131","resolution":{"observed_at":"2026-08-14T14:02:03.676241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.665226Z","title":"A survey of transfer learning,","venue":null,"work_id":"1a011476-cc45-4cfc-9ed8-19f210cd2aa1","year":2016},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.312630Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:3a255031897e62412d0f238dd2573c0f0d79f612002edf30f8fc761e46f2ae48","observation_id":"ed66234e-4780-4835-8d88-6e5ab951c9b7","resolution":{"observed_at":"2026-08-14T14:02:03.667930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.315695Z","title":"A survey on transfer learning,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.315695Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:4992534db670fc93f2472f42dd60659bdc91f24157b2a0e4c8eabfc594dbf823","observation_id":"f0d41fd9-4561-46c9-9a40-d09e0be8f969","resolution":{"observed_at":"2026-08-14T14:02:03.315695Z","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":"2026-08-14T14:02:03.650336Z","title":"Neuroscience-inspired artificial intelligence,","venue":null,"work_id":"1c70fd27-ee8a-4c4a-bd0f-ca694c831089","year":2017},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.318976Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:b0634a3d97e134b4b0f45b94278738f7fe8ba64e9e9fe2cd6f3eb8b1c24f1d7c","observation_id":"007d24d9-90c2-4198-9a70-afb5efbbb07b","resolution":{"observed_at":"2026-08-14T14:02:03.653520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.640616Z","title":"A survey on deep transfer learning,","venue":null,"work_id":"f29a0dc2-133a-4750-ad49-82efa213a0e5","year":2018},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.322292Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:7231a85873fa40efb3279d4ff70d0ea2b412605bc7d00626d0a3886c05b8afb3","observation_id":"1fcc9c5c-4ee9-4b68-b706-15ac91dee265","resolution":{"observed_at":"2026-08-14T14:02:03.644367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.631278Z","title":"Building machines that learn and think like people,","venue":null,"work_id":"fb329491-b3b3-440c-bedd-4a4a4c3d375c","year":2017},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.325233Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:42462c8e25904e23eb9415bd1cc4b45a849573dbdd5f6a821dbc39fd9d375333","observation_id":"f11c7080-0362-45ea-849d-5e4d24683760","resolution":{"observed_at":"2026-08-14T14:02:03.634928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.622629Z","title":"Nips 2016 tutorial: Nuts and bolts of building ai applications using deep learning by andrew ng","venue":null,"work_id":"69b61cbf-1611-42f8-8d54-1ea98aedef01","year":2016},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.328011Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:aaf1e991264299a3c167739344a561fb57807c124367c2412e5c3a5c5d9a4063","observation_id":"1ce35bd9-6ac0-4438-a2f0-56aa52cca4d9","resolution":{"observed_at":"2026-08-14T14:02:03.625943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.613591Z","title":"Multi-robot transfer learning: A dynamical system perspective,","venue":null,"work_id":"e643257b-aa61-4555-a176-8bc63e3148a1","year":2017},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.330967Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:141c530bd691c998754a914d0be9d4e4e5949d6692744db2609fa1aed0352573","observation_id":"eab013be-dcda-4f51-a42d-7a730e4de56f","resolution":{"observed_at":"2026-08-14T14:02:03.617241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.605562Z","title":"Accelerating model learning with inter-robot knowledge transfer,","venue":null,"work_id":"745df77b-c316-4d2d-b011-e5de53634be1","year":2018},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.334101Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:9f7f0e3c47814b97708c7d0b774167a7e33318e10b5a6069753482766d3d7dac","observation_id":"a92c159d-80be-4d52-a83b-f6caf9f81c60","resolution":{"observed_at":"2026-08-14T14:02:03.608330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.597867Z","title":"Sim-to-real transfer learning using robustified controllers in robotic tasks involving complex dynamics,","venue":null,"work_id":"c7554bc6-1252-4086-8552-122ad444e5ac","year":2019},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.337132Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:2d62c6878265af87d6a8bd6426f6a641449478bb65f7b21b700aaf2e599a68e8","observation_id":"d4dfd994-59c9-412f-8424-0f2cd3c22289","resolution":{"observed_at":"2026-08-14T14:02:03.600539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.590279Z","title":"Zero shot transfer learning for robot soccer,","venue":null,"work_id":"f035fc3d-af1d-4e4e-9e2e-1adf2e31ef16","year":2018},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.340118Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:f91236687b031682abf03378c62b1b9f9bd14e31e9346193252557d174f6ea1f","observation_id":"ab0a4431-9df8-456b-8cc9-5bee77b2b674","resolution":{"observed_at":"2026-08-14T14:02:03.593003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.581995Z","title":"Transfer learning for reinforce- ment learning on a physical robot,","venue":null,"work_id":"f2138fea-8cb3-4520-a5d1-0caf54e69e3f","year":2010},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.343388Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:e86d1884ee5e0267f09d7573e5b2df970f18847d08805c08ad1ac0959ff917a7","observation_id":"fc832641-f91a-4d8d-8f68-16d56c2b0a46","resolution":{"observed_at":"2026-08-14T14:02:03.585039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.573571Z","title":"Probabilistic policy reuse in a reinforce- ment learning agent,","venue":null,"work_id":"fe9365ed-b145-4e0d-86d2-0a6241213f59","year":2006},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.346442Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:24c21a2c4e0410802e967e2e093bfa40d5ed0cbf289695bea5dc51acc9f4fc38","observation_id":"5d8a144f-680e-4cb5-8c00-0af87acbb715","resolution":{"observed_at":"2026-08-14T14:02:03.576735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.564941Z","title":"Transfer learning,","venue":null,"work_id":"b9c110ba-75fa-4377-906e-483c99c35463","year":2010},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.349502Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:9aa281c39fdd7609515ece277ebc7ebd11797250b24e7580d9e2d9e387a72758","observation_id":"5c5b0203-1989-40d2-b68f-44e26891422a","resolution":{"observed_at":"2026-08-14T14:02:03.568391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.556204Z","title":"Transfer learning for policy search methods,","venue":null,"work_id":"3206d62c-2e1f-43b6-94c1-620e4332fc22","year":2006},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.352736Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:b91c4fd774bdc59e9a9d7f17c66b777d66e4eab5875fb32bd853075abc843ee6","observation_id":"eb583f4b-b35b-4fb2-94e5-c6a3bea0cab3","resolution":{"observed_at":"2026-08-14T14:02:03.559648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.547851Z","title":"Contextual relative entropy policy search with covariance matrix adaptation,","venue":null,"work_id":"a284a336-aaa5-497e-9fec-fcedf15ce6d7","year":2016},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.355771Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:e39ccccdd4441899092d54b18a6c3758531f101dcbe7651ffc873d8d14883f14","observation_id":"c6575bda-8a8d-4d4f-91d5-0f73e4badb88","resolution":{"observed_at":"2026-08-14T14:02:03.550994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.539319Z","title":"Using proba- bilistic movement primitives in robotics,","venue":null,"work_id":"c3d8bf45-7178-452a-929f-f3e0950a54ef","year":2018},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.358893Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:7e81c64e30021ffd0b921195e5767df988d52e83d31d1f3fc9466c80b7b78b19","observation_id":"cfb2a462-ffa5-499a-aa58-5dfa326778f9","resolution":{"observed_at":"2026-08-14T14:02:03.542282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.530640Z","title":"Extracting low-dimensional control variables for movement primitives,","venue":null,"work_id":"63db395f-43dd-4143-bc2a-13331567e9d1","year":2015},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.362157Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:2c58be365d33ce31e1cf7a449c72bc66cd232f537a7a41d9fc4661673a573db2","observation_id":"94b0de2b-4f16-40df-baf9-71ac11a5ba9b","resolution":{"observed_at":"2026-08-14T14:02:03.533905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.521960Z","title":"Probabilistic movement models show that postural control precedes and predicts volitional motor control,","venue":null,"work_id":"8973feee-dfbb-4ffc-9cdf-c0af3af40494","year":2016},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.365089Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:b35f380beacbc0ee1298164a2da731a75e430930eca95d3ae59a48f21dd7c22e","observation_id":"e78c3a66-1830-4428-8597-04c889fa008c","resolution":{"observed_at":"2026-08-14T14:02:03.525515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.513265Z","title":"Relative entropy policy search,","venue":null,"work_id":"40f611e6-c2f5-4fb4-851b-204e24426988","year":2010},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.367792Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:3026109bba37aaf736d4d009376eb68141b923c574add429f59e7cddfefb3e47","observation_id":"e617a8ea-10f3-4d00-a047-d683de4fb640","resolution":{"observed_at":"2026-08-14T14:02:03.516476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.504682Z","title":"A survey on policy search for robotics,","venue":null,"work_id":"9c15b3ce-4fc6-4837-a0c5-ab7b0f8c5d34","year":2013},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.370090Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:9aab813b421be23dc81e3187542e15e6d11b96cc98e823ec2a0c1e7c9b5ab852","observation_id":"1be05332-f764-4387-a7a5-c4e5aae27f29","resolution":{"observed_at":"2026-08-14T14:02:03.507921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.496678Z","title":"Natural evolution strategies.,","venue":null,"work_id":"f6a773ba-7e97-4c2b-88f9-a0080980b8ae","year":2014},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.372740Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:16cb96a4098ccf5f19a98d15473883a0e0142d3e5bcc91a3dc153718bba8ce0c","observation_id":"722015cd-d359-48b5-a3b2-fd7b8d4894cb","resolution":{"observed_at":"2026-08-14T14:02:03.499796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.488934Z","title":"Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation,","venue":null,"work_id":"53c54fe9-644b-4821-ba7a-30c4b17b8f3e","year":1996},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.375155Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:fedc65e667480dfe7d1790fefb07889ffecded8ff44c0085aa1297034fe37e6a","observation_id":"2ac83a0e-18d6-4c6d-8125-4cb4c99ba78b","resolution":{"observed_at":"2026-08-14T14:02:03.491756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.480747Z","title":"Simple random search of static linear policies is competitive for reinforcement learning,","venue":null,"work_id":"33d69d84-5080-4066-a7b0-b5489ee7565f","year":2018},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.377656Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:614c7599e1a64d483f79207297580c5e310218c400c86262ae986c49c24b2340","observation_id":"3c4661c6-3251-4f8f-86a3-fc5743bb17ba","resolution":{"observed_at":"2026-08-14T14:02:03.483986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.471085Z","title":"An introduction to kernel and nearest-neighbor nonparametric regression,","venue":null,"work_id":"f36292dd-10ae-4d44-84d1-140f23b7f2bc","year":1992},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.380005Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:3cd75db92d70163d60ebbbc219ced1bd6f5120477e482060de9d7ad4cd1423af","observation_id":"ba872f7c-d2b6-46b0-8a01-78bcc97a063a","resolution":{"observed_at":"2026-08-14T14:02:03.474622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.461314Z","title":"Dynamical movement primitives: Learning attractor models for motor behaviors,","venue":null,"work_id":"1822f1e3-57db-4187-a545-b048365ad1a7","year":2013},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.382408Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:62004b25b94ee05cfffee822cda6ce49c40acd6f0ae5db340e7b9e852e3099fc","observation_id":"1ed3881e-12f7-4495-a221-fa9d985a6e45","resolution":{"observed_at":"2026-08-14T14:02:03.464813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.451162Z","title":"Pybullet, a python module for physics simulation for games, robotics and machine learning","venue":null,"work_id":"78aaf846-14d1-466a-af78-1ff6342775ff","year":2016},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.385328Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:8c9cf4d4e37e40cbeb5ad2064d0a4641fef5aded17d5383fe805d4460cafece8","observation_id":"9af12fce-b560-4bf1-96b3-d8e5968df829","resolution":{"observed_at":"2026-08-14T14:02:03.454763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.440764Z","title":"A comparison of distance measures for learning nonparametric motor skill libraries,","venue":null,"work_id":"13a01a6f-9a9f-4f9e-96d4-6cf3500dfa4e","year":2017},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.388422Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:fb5c9a47f05b8a99c92b119734d9281abe5d9f92dca55622e94cf937fb138f51","observation_id":"bb50abf6-d936-408f-a09d-3f8d50274877","resolution":{"observed_at":"2026-08-14T14:02:03.444367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.430340Z","title":"The similarity paradox in human learning: A resolution,","venue":null,"work_id":"af1ea983-6b4e-4f26-be98-c10ae0e1c9f0","year":1949},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.391543Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:09ad72b1946286b7b2c59063cf68d09a462e90a322e7f132b235fde7d57be700","observation_id":"6e073eca-9668-4a84-8373-3c7989b79baf","resolution":{"observed_at":"2026-08-14T14:02:03.434090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:02:03.418439Z","title":"Transfer of training: A review of research and practical implications,","venue":null,"work_id":"60fcb9a7-2abf-44d4-95b2-518a28a1284c","year":1985},"citing_paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:02:03.394556Z"},"links":{"citing_paper":"/paper/1908.03936"},"observation_digest":"sha256:b5b176f04615e22a5351f598cb4ee4756377682c13d2f00766cd10cb215d9071","observation_id":"297544c8-6365-4dcb-832d-344e0e5768a2","resolution":{"observed_at":"2026-08-14T14:02:03.423669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.03936","last_updated":"2020-03-16T14:49:09Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T04:44:29.312094Z","submitted_at":"2019-08-11T17:04:48Z","title":"Experience Reuse with Probabilistic Movement Primitives"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":32},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1908.03936."}