{"as_of":"2026-08-19T07:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:849f6fa9d3d6b5772b883e6a5df4750d2f8108e062412f580d0730e33f3ab496","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:30:48.008630Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.12759/citation-record","integrity":"/paper/2505.12759/integrity","json":"/paper/2505.12759/citation-record.json","paper":"/paper/2505.12759"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:48.612814Z","title":null,"venue":null,"work_id":"520bcbcd-81cd-477f-8513-1b34781d8e18","year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.818185Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:f6e37588cf4361ac3e9c1297bf1b5a5d6a8b72e0c4ba0888d92ca622575c3b29","observation_id":"d1414144-2152-4168-bfcb-ebaa2d8044b4","resolution":{"observed_at":"2026-08-15T20:30:48.616750Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.600747Z","title":null,"venue":null,"work_id":"3438f5e7-6301-4f70-8f20-fa1f34f3ae83","year":2019},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.822600Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:3a9e143586674bcde87c21f0aecd498f2cb32600be87f19fe4735594669ffd10","observation_id":"7d9b98de-1ef1-4056-a0f5-ae3c984574ae","resolution":{"observed_at":"2026-08-15T20:30:48.604617Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.07107","last_updated":"2023-08-19T08:10:38Z","snapshot_observed_at":"2026-08-16T18:51:38.276476Z","submitted_at":"2021-01-18T15:09:28Z","title":"Deep Reinforcement Learning for Active High Frequency Trading","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.07107","snapshot_observed_at":"2026-08-15T20:30:47.826795Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.826795Z"},"links":{"cited_paper":"/paper/2101.07107","citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:270d26119bb993966f92993ec8b236b0ad3a5ebab9185c2307b6a00b15e544a7","observation_id":"d3cf46b7-6f1a-492b-9f22-d260faf2b4ad","resolution":{"observed_at":"2026-08-15T20:30:47.826795Z","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":"2026-08-15T20:30:48.589189Z","title":null,"venue":null,"work_id":"9aa3cda6-88f5-43f2-b52f-f79fb6aa8469","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.831378Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:2ba08f0757e636f9a237499dc7b62c52099f78d239e4da50db17c6518f8451ff","observation_id":"fd616618-f30d-4ed9-a0fb-39f173de0dcb","resolution":{"observed_at":"2026-08-15T20:30:48.592851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.577822Z","title":"J., Torn \\'e , R","venue":null,"work_id":"102397c0-8d9b-4fad-8a38-e69e4c770fb4","year":2022},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.835243Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:7e1fc26439d9635037dd3a2c49967bafb148dfeab91497dc3d4931122dac1cdb","observation_id":"42f99dbc-d39f-47d0-8588-a0534af751da","resolution":{"observed_at":"2026-08-15T20:30:48.581900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.564882Z","title":null,"venue":null,"work_id":"6755e453-8622-484e-b4d7-86172bf64f34","year":2016},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.839203Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:d159e68a23d4436a0e0d6283bcf4e9d9cb86256d409776a7cca875704df20ce6","observation_id":"fab88295-dc35-4e80-aedb-fc423c3290b5","resolution":{"observed_at":"2026-08-15T20:30:48.569448Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.550452Z","title":"L., Sutskever, I., and Abbeel, P","venue":null,"work_id":"8b2a0d2f-f423-457a-8a5f-3eedda93627a","year":2017},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.843230Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:4b7a01cbae41984b9417b80d7ac7a4ac48c6cf15e9d2be1ea730e3abcba9bb07","observation_id":"5be321d1-acc6-465f-aea9-fd5f76a275c3","resolution":{"observed_at":"2026-08-15T20:30:48.556261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.536863Z","title":null,"venue":null,"work_id":"b5ff5957-5153-4ec4-bb80-30b79fd9b8fa","year":2022},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.846813Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:a3282eb2cd6975c31815665e5404714d375b60bd73691d9ee76e65d03c6d0685","observation_id":"aac2ae63-c55f-4fb3-8671-98724dd733e3","resolution":{"observed_at":"2026-08-15T20:30:48.540930Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:47.850552Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.850552Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:14bddbece72ce75f7bb2ab8896e71f7a012b06193995be98693f9cf78529a8c0","observation_id":"5145849a-4b26-4f1c-8b4c-9dff31afd5ab","resolution":{"observed_at":"2026-08-15T20:30:47.850552Z","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":"2026-08-15T20:30:48.515382Z","title":null,"venue":null,"work_id":"7a2e2ce5-82e5-4fc7-a79f-342bf88f5d77","year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.854196Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:148a5425ee7fb5ca93daa854555a815e2ac0fa025dd2d5be9aaea415cfb72c69","observation_id":"e0d40e2c-e6e7-4096-9058-4a6db3f24271","resolution":{"observed_at":"2026-08-15T20:30:48.519551Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.502989Z","title":null,"venue":null,"work_id":"3264c935-3056-48bc-aca5-5d36a39eedad","year":2017},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.858379Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:cf144d621b55efb9b552e5667028b46141215e2d77afcdd92517b3ba8b8ae520","observation_id":"6aa10ef7-a70f-4096-9b10-e33af0cfe990","resolution":{"observed_at":"2026-08-15T20:30:48.506735Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.491688Z","title":null,"venue":null,"work_id":"30b3406c-cdf8-424a-a077-99759910a4b7","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.862287Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:df8d989bba7d4566adf69514ff99b0b444db2e8082be32c79676a18bc82b2b92","observation_id":"e10debd4-7eed-4d39-8741-a3d872fd9a57","resolution":{"observed_at":"2026-08-15T20:30:48.495503Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.480562Z","title":null,"venue":null,"work_id":"2af2c717-f3e4-4640-9f1d-4f32048e7eca","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.866408Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:568f765891a68b08b97c94281293fc23a8c0f9193b85339ab6e6ad6fcb8d2827","observation_id":"878cae8a-7ff1-4d0b-9b65-cd45d492a754","resolution":{"observed_at":"2026-08-15T20:30:48.484498Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.467836Z","title":null,"venue":null,"work_id":"e9044a93-f497-4ece-be2a-f46bb33c89a0","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.870555Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:a61f10d56a342d30ab84604fb38816952a681d37e4b9714331b00ed364368c8f","observation_id":"7d56223c-fff3-47bb-8b3d-af3f6ffb1a73","resolution":{"observed_at":"2026-08-15T20:30:48.471652Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.454999Z","title":null,"venue":null,"work_id":"0cde1c54-1475-40bd-987c-a36e01a28400","year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.874719Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:d5b81632b2cae468ba876e90baba016a205210ef36237c3a94a131b0991cafe9","observation_id":"6ff1d268-1543-48d7-a5ec-5c6b5457a531","resolution":{"observed_at":"2026-08-15T20:30:48.459738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:47.878459Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.878459Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:5dc80a5be1bc134eaa025ef3d06b11a3663675e6878dc21d66d4c60aefb81f04","observation_id":"65181769-8a1f-4f5a-ab49-523deba1fcde","resolution":{"observed_at":"2026-08-15T20:30:47.878459Z","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":"2026-08-15T20:30:48.435180Z","title":null,"venue":null,"work_id":"72b635cb-8600-471f-974f-adf6433b7dbe","year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.882071Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:2172ef370f0fb083159396da7334b21af67916d614c350901133861ac3dda69c","observation_id":"be7c0f1f-e0f6-48ff-b34f-7dd14597da02","resolution":{"observed_at":"2026-08-15T20:30:48.439186Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06424","last_updated":"2019-10-22T15:54:03Z","snapshot_observed_at":"2026-08-16T08:40:24.198376Z","submitted_at":"2019-05-15T20:21:14Z","title":"Meta reinforcement learning as task inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.06424","snapshot_observed_at":"2026-08-15T20:30:47.885697Z","title":"A., Teh, Y","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.885697Z"},"links":{"cited_paper":"/paper/1905.06424","citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:7ff5cf3a77c9b3b6b31703a1f8077d3e76ebaa8ddcefa1c884a5a54e6809e9ad","observation_id":"a9997ac8-a5fd-4ecc-bbf1-8631297aa3db","resolution":{"observed_at":"2026-08-15T20:30:47.885697Z","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":"2026-08-15T20:30:48.423360Z","title":"and Kim, H","venue":null,"work_id":"db4360c9-2e50-4585-b1df-ff1f1010cf44","year":2019},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.889741Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:f4fd1e9f3cd7118abed6f10bc8cc55bbbe5359ff5bac0e6b9e86faa7a951df9d","observation_id":"b47400a4-fd62-43b3-abc1-cd421321a837","resolution":{"observed_at":"2026-08-15T20:30:48.427340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.06169","last_updated":"2021-10-12T17:05:05Z","snapshot_observed_at":"2026-08-13T07:57:56.087944Z","submitted_at":"2021-10-12T17:05:05Z","title":"Offline Reinforcement Learning with Implicit Q-Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.06169","snapshot_observed_at":"2026-08-15T20:30:47.894793Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.894793Z"},"links":{"cited_paper":"/paper/2110.06169","citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:431c81ca868528ad78998e5d0bd564f72699668ea15117b3f2db0f77e5964b72","observation_id":"a4563d8d-9614-439d-8c74-4c2848d092a7","resolution":{"observed_at":"2026-08-15T20:30:47.894793Z","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":"2026-08-15T20:30:48.409741Z","title":null,"venue":null,"work_id":"6be388df-c639-4c42-b3f0-4adc266bec3e","year":2020},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.900181Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:57f794743bb8116b4d65ff5ba35a11337848154133008e31793a91efff769872","observation_id":"e15bc488-2b09-4f4e-9db5-8e32023409cc","resolution":{"observed_at":"2026-08-15T20:30:48.414071Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.396814Z","title":null,"venue":null,"work_id":"d8470472-5406-4154-ae97-e8db53ddf1a9","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.905327Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:fb4621fc09e60329bfbf5f472d69b1e46198778275b8c70b5bd0fd5a6ca33a5a","observation_id":"a3142cc2-b03f-4e45-87a4-a9b840f6fb9d","resolution":{"observed_at":"2026-08-15T20:30:48.400983Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.384018Z","title":null,"venue":null,"work_id":"5d68dd83-fa5f-4d39-87ac-f0b2d4c7619f","year":2022},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.909311Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:1adf3d4429959a2b2d703939154bf7f9bd83f4339d539773f557f3dfb60fe3ce","observation_id":"c2099106-82e3-40f0-a573-80999b4ebf6c","resolution":{"observed_at":"2026-08-15T20:30:48.388452Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.371565Z","title":null,"venue":null,"work_id":"ddc2dc36-49e5-4a69-91b3-edf70e4a038d","year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.915066Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:d0ae1c464a9d6f6c240c6a8f03d0959f1f1da90f02ca43e0201a70950ac1912a","observation_id":"4a26a00c-f134-487f-a1de-4d13ae290357","resolution":{"observed_at":"2026-08-15T20:30:48.375710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.360205Z","title":null,"venue":null,"work_id":"3ee32200-c152-4529-b3bc-a1b183450950","year":2019},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.920484Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:93d26430d0ea530e3ea000b6371d1f51e376b69396faa3879c1557b2fe73c73e","observation_id":"410d7879-1d78-4a9f-9c0c-5751829b42ae","resolution":{"observed_at":"2026-08-15T20:30:48.363691Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.348015Z","title":null,"venue":null,"work_id":"f0088f19-4c07-4f2f-a570-0ec4b00c00a0","year":2022},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.924504Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:cf12bfdf6a08d443fb57e725c669e8bb6486a26bd5d8f4afd66ae44922ec6910","observation_id":"0e25b83d-9551-430c-8fca-02d6ea980c6e","resolution":{"observed_at":"2026-08-15T20:30:48.352163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.335617Z","title":null,"venue":null,"work_id":"ef158ffc-b78f-4634-8dd8-066a28c355ef","year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.929044Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:6cd02172c483b58e9f641ae5e3258c388be780fdcc558fa2c20236231084e9c5","observation_id":"5e7bfdef-6d50-43b3-96a3-e26f215141cc","resolution":{"observed_at":"2026-08-15T20:30:48.339641Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.323277Z","title":null,"venue":null,"work_id":"d71ecee2-f0c2-4103-a101-ca2fb97e1a77","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.935173Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:aad7ef6240c89311656512c2737fdb19b009a394d500906d688aaadd19ec7928","observation_id":"33fe92a2-5378-453b-834d-8e911d438a7f","resolution":{"observed_at":"2026-08-15T20:30:48.327406Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.310358Z","title":null,"venue":null,"work_id":"de7cc0a8-af9e-4a7e-9fce-94eca691db33","year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.939722Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:04962aeae50abc936100fa0384bcd355a6ced5cad4a84446c6e0069d147469d0","observation_id":"c94f7c40-e1fc-44a3-978a-84a1f153c69f","resolution":{"observed_at":"2026-08-15T20:30:48.314829Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.296347Z","title":"B., Levine, S., and Finn, C","venue":null,"work_id":"dae38a50-f032-4e1b-a41d-6d3aa55ab414","year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.943840Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:119055a9de05cbdb4ccdd087fd8a739a95a23204aa9389cabce2baae11076e49","observation_id":"06b5d353-7602-4682-858b-45c20b9064f2","resolution":{"observed_at":"2026-08-15T20:30:48.300344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.282100Z","title":"S., Abbeel, P., Levine, S., and Finn, C","venue":null,"work_id":"4a8383fd-8ff2-4a23-8514-e466e251d6a2","year":2019},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.948140Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:6d1f6a145891d986f4cd1a97990f3271da74f694c9f933c401427b688f8b1eaf","observation_id":"e151072d-89e1-46d1-8d12-d6a037e62884","resolution":{"observed_at":"2026-08-15T20:30:48.286863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.269812Z","title":"H., Nair, A","venue":null,"work_id":"1a469b56-618e-4127-a48b-75d544279ec0","year":2022},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.952430Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:625d10f8cb0a83b830fa8b0123614b9368f16e03d5b7424fbc79a6c7fb3b6b03","observation_id":"b333851b-008d-4123-b157-e4b427d013d7","resolution":{"observed_at":"2026-08-15T20:30:48.273713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.07551","last_updated":"2018-07-07T09:28:57Z","snapshot_observed_at":"2026-08-18T04:06:01.907587Z","submitted_at":"2018-03-20T17:51:10Z","title":"Meta Reinforcement Learning with Latent Variable Gaussian Processes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.07551","snapshot_observed_at":"2026-08-15T20:30:47.956265Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.956265Z"},"links":{"cited_paper":"/paper/1803.07551","citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:3fbed43b5d8bef550160bcea2217d7fee1aba00ac2126ad10a89e08228a66e0e","observation_id":"81d91329-8e77-41b5-925d-2421000d1312","resolution":{"observed_at":"2026-08-15T20:30:47.956265Z","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":"2026-08-15T20:30:48.257924Z","title":null,"venue":null,"work_id":"37bf0d4e-eab9-4887-b0ca-275d25423eb3","year":2024},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.961192Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:cbcd9e1fd4b2b435d5e32ebee3e4f44630226021b181354062848622a6254eee","observation_id":"581f20a3-f69e-432e-b623-b4f20c5564d8","resolution":{"observed_at":"2026-08-15T20:30:48.262059Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.243852Z","title":null,"venue":null,"work_id":"28f134fa-5389-4562-9b3f-5899fb996d42","year":1987},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.964925Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:8bd9da2a966dfa717bd4b8ae9bca6b91bc3e0de69deabf3f7c226bce92fe6ac5","observation_id":"5873c74f-4994-4b0b-b6f4-49b639f65287","resolution":{"observed_at":"2026-08-15T20:30:48.248008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.230570Z","title":null,"venue":null,"work_id":"53863698-7881-41db-9c16-b59d07cee85f","year":2022},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.969043Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:93b3369cc2cfcf8f4413bd910d1fe0518adbe5e24fb0fad05f9b57a42af7bcfb","observation_id":"141df753-1438-4a8e-b3d8-3ed450f1f522","resolution":{"observed_at":"2026-08-15T20:30:48.234201Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.218493Z","title":null,"venue":null,"work_id":"d053357c-e164-44d5-a48f-6618e33aeb6e","year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.972451Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:10604c6ae83add3c87517edf4a2afc029f179795e4a388e9defa1534137e7000","observation_id":"e61db1d1-ef4a-486b-bd03-3bfc10794084","resolution":{"observed_at":"2026-08-15T20:30:48.222829Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.205029Z","title":null,"venue":null,"work_id":"eace66ff-0861-4861-9a09-e097ddd715d9","year":2020},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.976255Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:c705b27b450a9085bdda2aaeef871e3a3c7f0cd4e8c6c806d87d60c2d48433a0","observation_id":"f6e537c7-d651-4893-8195-ea83363031af","resolution":{"observed_at":"2026-08-15T20:30:48.209334Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.190357Z","title":null,"venue":null,"work_id":"be619a65-6ad1-4c36-beb9-395116ed1c16","year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.979787Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:9cf00c9a8c656be0bd2585e2bbfb746af58f227b6d827494233b386bf0819e53","observation_id":"5a22a7e5-f885-42fa-ab71-da9813076c08","resolution":{"observed_at":"2026-08-15T20:30:48.194833Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.176268Z","title":null,"venue":null,"work_id":"99c29371-a697-42f3-beca-7090b557d0fe","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.983368Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:8804d5bbd5c2fe330345d2cbef06cd906966970250f2e456c8b9f89177d66579","observation_id":"47c2fa11-644f-41e8-9433-8be9a5bad0d1","resolution":{"observed_at":"2026-08-15T20:30:48.181143Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.163399Z","title":null,"venue":null,"work_id":"b95ec9c6-d0b2-4608-a89c-f9c18cb85e24","year":2021},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.986940Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:1f0a468acde11adec2bc874e86cad7293a8354ff02f023f1747199a3d4775d75","observation_id":"5958fe27-a25b-434c-ab87-b0fb79a71ad5","resolution":{"observed_at":"2026-08-15T20:30:48.167429Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.150336Z","title":null,"venue":null,"work_id":"ed53ca72-c832-442e-b10d-5eb2c24c66f0","year":2022},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.990557Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:bd22f3c54bcb5afb75f05f1f42d02212868957d7d765b202ac9f7339c3c81e7c","observation_id":"e904b8ce-173c-4bb5-adbc-fb73f761ae3c","resolution":{"observed_at":"2026-08-15T20:30:48.154382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.137466Z","title":"and Cohen, S","venue":null,"work_id":"2d1833bb-ac40-4ab3-b6c6-51ed1cc6a099","year":2018},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.994457Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:74a5c60a1fd30561417cdc0440ecdb7cbb6b5f3fc2b1cde8186091b39498ac87","observation_id":"08d3fc73-6e22-4cd3-a958-cec115089eab","resolution":{"observed_at":"2026-08-15T20:30:48.141416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:30:48.124474Z","title":null,"venue":null,"work_id":"701972e0-d4c8-45ce-8514-26a1a03bbd1c","year":2020},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:47.998919Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:e3ee6058f8dc5fbf5d2e9ad74eebd096a9cc8ae105030641032d249bb18fc668","observation_id":"4b541ba5-c967-4ada-8d22-86753c70c356","resolution":{"observed_at":"2026-08-15T20:30:48.129024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06871","last_updated":"2024-07-21T14:49:35Z","snapshot_observed_at":"2026-08-16T15:24:43.358352Z","submitted_at":"2023-06-12T05:10:10Z","title":"ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06871","snapshot_observed_at":"2026-08-15T20:30:48.003571Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:48.003571Z"},"links":{"cited_paper":"/paper/2306.06871","citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:781b44ce16d32111ea6d778e95088b03b896a2afa7f5c132239330c1ae8c7a3b","observation_id":"59c3c86a-1001-42af-b119-67eaf67a3414","resolution":{"observed_at":"2026-08-15T20:30:48.003571Z","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":"2026-08-15T20:30:48.110840Z","title":null,"venue":null,"work_id":"7367c86d-663d-4553-88fe-49cb7d719373","year":2023},"citing_paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:48.008630Z"},"links":{"citing_paper":"/paper/2505.12759"},"observation_digest":"sha256:ecc372a1999703d8713c399c97eee4ad2843eeb24b02c9f390cb2908130fd108","observation_id":"4203a027-64bd-4053-804e-6d42fd215126","resolution":{"observed_at":"2026-08-15T20:30:48.115919Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.12759","last_updated":"2025-05-19T06:37:25Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T01:04:25.697865Z","submitted_at":"2025-05-19T06:37:25Z","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":39,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":46},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.12759."}