{"as_of":"2026-08-08T11:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59ac84bd1f70a2df21b1fdb86b96848d9e2b5947a7996890e5543db5397adf25","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:54:44.391647Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2507.12383/citation-record","integrity":"/paper/2507.12383/integrity","json":"/paper/2507.12383/citation-record.json","paper":"/paper/2507.12383"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:54:45.052489Z","title":null,"venue":null,"work_id":"abb25112-c63a-435e-b2eb-c5ffba84eaac","year":2011},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.283843Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:f67d20893a0685aec9e5ff7dd5e7d1763040d639052c2aa789e21bf2d9b6c098","observation_id":"36e8ad24-28da-4787-8909-6839a3137d65","resolution":{"observed_at":"2026-08-06T16:54:45.056126Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:45.041547Z","title":null,"venue":null,"work_id":"17b9e488-21cf-4cfc-a3bf-b3b41fa672aa","year":2018},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.343298Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:ad3ef9151811fba6d9a4a3b8d3e429557c006568f1fcd66096d66b7cc8aa0960","observation_id":"8b1485cb-dc14-4c6a-addc-54fa2318c6ab","resolution":{"observed_at":"2026-08-06T16:54:45.045123Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:45.031173Z","title":null,"venue":null,"work_id":"aef0fd0c-975c-4a28-b499-2a59634a10b2","year":2019},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.413941Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:253db59a7b2ebf5f776b4e901746960c6630aeec3b836d9d48e5c48100275e5d","observation_id":"627c469c-9394-45d0-b035-5a72a899c7d9","resolution":{"observed_at":"2026-08-06T16:54:45.034610Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:45.021525Z","title":"El Sallab, M","venue":null,"work_id":"cf29ac07-cf49-4749-95ff-edc48e5890a2","year":2017},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.487472Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:feba01a24d5f7df5dc7f104a19b64dbff018b64ac338486b76600cbe0b779061","observation_id":"288149c8-0576-4ce8-a969-f7582c8d5b3c","resolution":{"observed_at":"2026-08-06T16:54:45.024317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0139.18101","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:54:44.857523Z","title":"Fiechter","venue":null,"work_id":"6c2f5a6d-120b-4d45-aff7-ff18132d26a9","year":1994},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.574107Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:ba9ce6101907350b78186a42dd3320dfd4a47e1ed930326eb99ea6d6c7b5f17d","observation_id":"fc57a248-f5d4-4b0b-81fd-a18ec8094cbf","resolution":{"observed_at":"2026-08-06T16:54:44.874896Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:45.012413Z","title":null,"venue":null,"work_id":"3c624a71-fa6f-4aa8-abd4-65c2f9f15bed","year":2022},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.626469Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:52cb21cbab16d0e1abcf372d4722b32c99bbad8d19498fa401a80b194d4a0686","observation_id":"9fddb9e4-aab6-44c6-b5ff-cac7169ccfe3","resolution":{"observed_at":"2026-08-06T16:54:45.015390Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:45.002564Z","title":"Hoeffding","venue":null,"work_id":"424fe76f-758c-48db-a40d-811bd33c1a83","year":1994},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.683537Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:6e5de063b6d41719bd6ff1886a778b894a306f0c078d26f13a462e20e2c6e14f","observation_id":"073714d5-ddfe-45ec-8366-4887847a0c9c","resolution":{"observed_at":"2026-08-06T16:54:45.005775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9703.2020","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:54:44.671756Z","title":null,"venue":null,"work_id":"a5430b50-c22e-467c-8341-621348ae1e5e","year":2020},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.732437Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:135e216f91e144cee723be2b363f1c81b107f142ed8f396bcac1d56da6639938","observation_id":"b1f8c98f-e492-4747-a42e-30539bdcc88e","resolution":{"observed_at":"2026-08-06T16:54:44.720983Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.993489Z","title":null,"venue":null,"work_id":"5222d6ce-b111-4411-8cb7-fa9251298b52","year":2018},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.801515Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:f62088923c57696ad0d060c3c66a5f3ae2ffa8584b88a12c8add41e9deca741e","observation_id":"9a3f6045-c328-4ee5-87bc-33262945b78c","resolution":{"observed_at":"2026-08-06T16:54:44.996279Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.984427Z","title":null,"venue":null,"work_id":"8829c301-036e-434f-924d-8bc71b19e559","year":2003},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.869908Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:574a59517549e0f35de8a7b7d0898beb7c8c3353f6b113408ff532ef36b40928","observation_id":"d5d7c6a5-2a4b-4dbf-b3ca-39d978a95a79","resolution":{"observed_at":"2026-08-06T16:54:44.987367Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.975387Z","title":"Kakade, M","venue":null,"work_id":"4e453bcc-d6ae-4a8f-8648-de31a7be4c94","year":2003},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.942634Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:b6a80bed73b197b3ccb4fff99bd21dc3547bfb875ff42149c64d8e53b5fb87dc","observation_id":"bd6dd534-1291-44d3-87ed-5d6bdc46f17c","resolution":{"observed_at":"2026-08-06T16:54:44.978416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.966337Z","title":"Kearns and S","venue":null,"work_id":"f0c39e0a-e697-4a12-92e8-0349575b8c7d","year":1998},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:40.987317Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:3fe29349a9e32fbf244a29d4bcdef23d7a74b6d72d35a8c1d4c585af194939c3","observation_id":"87039129-db65-4aee-9e6e-769c71a369c1","resolution":{"observed_at":"2026-08-06T16:54:44.969359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.01112","last_updated":"2021-05-06T09:06:50Z","snapshot_observed_at":"2026-08-05T12:38:48.463149Z","submitted_at":"2020-10-02T17:13:39Z","title":"FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.01112","snapshot_observed_at":"2026-08-06T16:54:41.059956Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:41.059956Z"},"links":{"cited_paper":"/paper/2010.01112","citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:40f6532cd31dbc7bd481ba215620c410e84ca82e1987b902fe63c3706606a8cc","observation_id":"d34893be-1cb0-410f-8f38-1798fbe1ff6c","resolution":{"observed_at":"2026-08-06T16:54:41.059956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.10087","last_updated":"2018-06-26T13:31:37Z","snapshot_observed_at":"2026-07-06T06:01:51.192687Z","submitted_at":"2017-09-28T17:51:13Z","title":"Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.10087","snapshot_observed_at":"2026-08-06T16:54:41.128944Z","title":"Rajeswaran, V","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:41.128944Z"},"links":{"cited_paper":"/paper/1709.10087","citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:4f5cda3b2e551ea47c042d2a01a40afcee87fda0e7647e789df822495c7e4648","observation_id":"fe86f185-c4a2-47d6-8fe8-11b9f0a69f9e","resolution":{"observed_at":"2026-08-06T16:54:41.128944Z","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":"2026-08-06T16:54:44.956596Z","title":null,"venue":null,"work_id":"cea10533-6345-435c-b13e-46a0d3ce3167","year":2019},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:41.201847Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:863c36030856aa1b466391e555e2ab8f6d40bfc764790ca277c9f97f1d6af4d7","observation_id":"f143e1b1-a33d-4a99-923b-ccc3a1e5af37","resolution":{"observed_at":"2026-08-06T16:54:44.959921Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.00475","last_updated":"2019-05-01T20:10:24Z","snapshot_observed_at":"2026-08-04T17:32:02.940135Z","submitted_at":"2019-05-01T20:10:24Z","title":"Efficient Model-free Reinforcement Learning in Metric Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.00475","snapshot_observed_at":"2026-08-06T16:54:41.265796Z","title":"Song and W","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:41.265796Z"},"links":{"cited_paper":"/paper/1905.00475","citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:8d91870dbcdbdb550db5375b15c31ed77a8b06a9f413069fed9fc8266447d91b","observation_id":"dc689a0a-2d85-4f71-a026-7dd16bababab","resolution":{"observed_at":"2026-08-06T16:54:41.265796Z","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":"2026-08-06T16:54:43.910209Z","title":"Strehl, L","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:43.910209Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:b65cc344290bb218770a5fce57d42d1da9207c0c4d3f8320a69c2d635edcceda","observation_id":"a40d6a98-3076-4932-b518-e21ded46c7d0","resolution":{"observed_at":"2026-08-06T16:54:43.910209Z","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":"2026-08-06T16:54:44.946408Z","title":"Szepesvári","venue":null,"work_id":"6adef78c-7edd-42f1-af26-f6618a5e5686","year":1997},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:43.913769Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:b31f24353c72dbb01b06c94fa0408974d657afe332438cc9721b5dcfcf32e9e1","observation_id":"eba5bf7f-310e-4029-81a3-385032a923e0","resolution":{"observed_at":"2026-08-06T16:54:44.949553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.937221Z","title":"Szita and C","venue":null,"work_id":"3eebe42b-33e1-46f5-801f-8522b0fdae5c","year":2010},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:43.917276Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:a8f90d5d291af37a846cfa648a7d2b9d8ee08fb13875da7d28fdd4f127881fa2","observation_id":"129f8a09-5992-443d-8d5e-446810353e36","resolution":{"observed_at":"2026-08-06T16:54:44.940100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.927878Z","title":null,"venue":null,"work_id":"58b43458-e1f4-48de-a264-94a0bad91036","year":2025},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:43.968331Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:ce517f7ecd76e7eaec26f130ec8605ac0d7f0c1af34cb5d6a5a9de58f4f436a7","observation_id":"0a5e8bc4-3f14-4b1b-8b4d-405652fcdcb9","resolution":{"observed_at":"2026-08-06T16:54:44.930885Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17032","last_updated":"2025-11-02T13:42:19Z","snapshot_observed_at":"2026-07-06T18:51:06.750136Z","submitted_at":"2024-07-24T06:35:05Z","title":"Gymnasium: A Standard Interface for Reinforcement Learning Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17032","snapshot_observed_at":"2026-08-06T16:54:44.046613Z","title":"Towers, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:44.046613Z"},"links":{"cited_paper":"/paper/2407.17032","citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:72cd22f40210e94e6832e2b61d86070ed1f4c7e319853807cf47e295a6490a3a","observation_id":"7d3c0f8f-9104-415b-bf5e-65a9febbb291","resolution":{"observed_at":"2026-08-06T16:54:44.046613Z","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":"2026-08-06T16:54:44.918346Z","title":null,"venue":null,"work_id":"1a1e0081-a96c-4b31-b181-1b9eb8fc83bc","year":1994},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:44.107471Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:1edf859e3fef09fb06d98466fa7a7aa05cecabce7a0511bf76d26a529d6df2ad","observation_id":"77e5ebef-01b1-4524-9578-41ef135196b5","resolution":{"observed_at":"2026-08-06T16:54:44.921561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.908990Z","title":null,"venue":null,"work_id":"e24aa81e-d579-496c-b0da-1efe43c02b28","year":2019},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:44.211633Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:dea33f0d607947c73d794350a1f6224a45ad2dff13c62a3fdefabc528787680d","observation_id":"96600550-83c5-42eb-92b8-0f4874c1c606","resolution":{"observed_at":"2026-08-06T16:54:44.912359Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.313035Z","title":null,"venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:44.313035Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:ef709a919b10c736f5b61ea5acf4d477c8199f44d4e9a3d40fbbae2da96788dd","observation_id":"737d4394-0fb5-49e8-98e1-fc46ce30160b","resolution":{"observed_at":"2026-08-06T16:54:44.313035Z","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":"2026-08-06T16:54:44.892765Z","title":null,"venue":null,"work_id":"156b6017-6650-4711-b4ad-31f54d24633a","year":2022},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:44.383050Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:f6a0f0638b3c89954ba633687d002bfb67060f6b8b0c45b9f90bb55f3a403c1b","observation_id":"84b93d47-ca72-4cf4-91f9-7d042c738a70","resolution":{"observed_at":"2026-08-06T16:54:44.896125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:54:44.883310Z","title":"Zhang, Y","venue":null,"work_id":"f4c2dee3-f569-4257-aee3-3ff8d794dc05","year":2020},"citing_paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:54:44.391647Z"},"links":{"citing_paper":"/paper/2507.12383"},"observation_digest":"sha256:ab3e34debb47150dd1c317d733e24c34eb75262bda490e6c04e62069a94ea7db","observation_id":"b3aa469b-46bb-4999-abbc-c00eeca17486","resolution":{"observed_at":"2026-08-06T16:54:44.886156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.12383","last_updated":"2025-07-16T16:31:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T16:44:49.046228Z","submitted_at":"2025-07-16T16:31:17Z","title":"Improving Reinforcement Learning Sample-Efficiency using Local Approximation"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":17,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":26},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.12383."}