{"as_of":"2026-08-07T11:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b03e1dadc8e94d7b60d27463520eb6437bc597878f8e58d06c5df3e82ffffceb","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T18:27:28.828786Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2606.07550/citation-record","integrity":"/paper/2606.07550/integrity","json":"/paper/2606.07550/citation-record.json","paper":"/paper/2606.07550"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T04:24:33.318276Z","title":"T., Tassa, Y ., Munos, R., Heess, N., and Riedmiller, M","venue":null,"work_id":"ef748259-7c88-4667-ae74-f6d864d0dbce","year":2018},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:55fc44c5c7680a81ee05e5d13ff246b7fcf5f25edf7a42f81bbbf3536637fa7f","observation_id":"d059969a-de9d-4abf-a8c6-4b7579a139e8","resolution":{"observed_at":"2026-07-08T04:24:33.320139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.323837Z","title":null,"venue":null,"work_id":"82bb4cd7-2c69-463a-bbe8-9600ae750aa5","year":2021},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:4091a75a58616a7fb79608a1600136ea9b735727600e841a1976f6862a50a1c6","observation_id":"1fbb23a8-3150-4d3c-98bb-17c09e2170b4","resolution":{"observed_at":"2026-07-08T04:24:33.325714Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.342836Z","title":"E., Wehner, W","venue":null,"work_id":"66463cc5-1be8-4904-8f26-d92b64ebf6b0","year":2015},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:58c129f787ea6046e271c5f251ecf55b0d8c67c3125d4fe25cce3a4c26b6ade4","observation_id":"2a5a68ac-bf32-4ac5-b7c5-d1e0282848e9","resolution":{"observed_at":"2026-07-08T04:24:33.345089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.332890Z","title":"(2021).Development of free-boundary equilibrium and transport solvers for simulation and real-time interpretation of tokamak experiments","venue":null,"work_id":"0cde1d0b-17db-4906-96ab-ceae0f744a47","year":2021},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:18323af12a4164dca5bd7ca6f357618d7c07f7a062699476bda0ce233e76c52d","observation_id":"a9c18fa9-e189-4cb0-9b61-f92a18206ac4","resolution":{"observed_at":"2026-07-08T04:24:33.335367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.336482Z","title":"R., Görler, T., and contributors, J","venue":null,"work_id":"a4ec3bdd-ae9d-4f85-a6b9-d71ebb60a313","year":2025},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:e8feb5d3ef3b682d3c8d49c858d8d9fa5f13fb0160324332b18c52ea28897fcf","observation_id":"2c30b165-9a09-48bb-9788-7adf44143a8b","resolution":{"observed_at":"2026-07-08T04:24:33.338579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.435997Z","title":null,"venue":null,"work_id":"98b91e77-adf8-4903-8411-5e4fe5e3b729","year":2023},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:46ea8d1afddee40f226958869307e4b40c6813d209cf4b9dbe3e57303d61ec4e","observation_id":"b7ac807c-8a2e-4027-baa5-fde9d626bf1f","resolution":{"observed_at":"2026-07-08T04:24:33.438292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.422592Z","title":null,"venue":null,"work_id":"91eb2022-3357-443c-bd33-ceca32f718ce","year":2026},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:ae7b966e86c761e17b3a86e3f887e6ff1ee50896ac129d888fea2ab755ac3e3e","observation_id":"cd4c3220-169f-4ff3-af29-1e12979025e1","resolution":{"observed_at":"2026-07-08T04:24:33.423927Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.312923Z","title":null,"venue":null,"work_id":"2cd823ff-1683-49bf-8afc-7d017e9da225","year":2025},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:89b8603c7cdfbe3d7db5dcf46b3a1fe809e529f5add6f68d4e1a5ed295ce0fbd","observation_id":"233bbc23-9b5e-4b22-b69e-3b2ccbadf9bd","resolution":{"observed_at":"2026-07-08T04:24:33.314704Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.321008Z","title":null,"venue":null,"work_id":"b4c2dc50-f272-4b0c-a02e-e8faeb969731","year":2018},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:9cbfda5e03676b7da5112d452ff85dc57345b28d2133b338e9817039a522ded7","observation_id":"4c51957e-d70d-4b0b-b3c8-dfe31fbb0323","resolution":{"observed_at":"2026-07-08T04:24:33.322849Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.415199Z","title":null,"venue":null,"work_id":"7389611a-c851-4427-bf77-2d76d5989a40","year":2024},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:194cef8f3816cc4481a845105e084e0e086847c0590d82f908dddd6c70292de2","observation_id":"60c27fe8-e44e-42bd-b8d3-ea3a4447c87f","resolution":{"observed_at":"2026-07-08T04:24:33.416800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.417536Z","title":null,"venue":null,"work_id":"6a5fbd92-054c-41d1-9b6f-ad799f84e99f","year":2022},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:8a73f0bfbc82b8f70a784a70805fcc5c97525f29d174c57a1bc4db66ee276178","observation_id":"e9be133f-70b5-4321-9210-503a678cb6b1","resolution":{"observed_at":"2026-07-08T04:24:33.419008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.419920Z","title":null,"venue":null,"work_id":"fc1dd444-4d98-4ed3-b23a-ac6b87741cb5","year":2019},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:3a7a45c453a1df0f8d63c0a4d376d81bfe49cfa151ec3cc99c7d7fe0c6f6d4ee","observation_id":"4b6bb512-d00b-4efe-a851-cee2df787f8d","resolution":{"observed_at":"2026-07-08T04:24:33.421771Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.430126Z","title":null,"venue":null,"work_id":"b90616bf-a9c2-4ee9-ba5c-99b5a27c58e1","year":2024},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:e3ceba5d20c87e8c5a98a34f06676566c01d9609903c3c6b64aaf22658d032cd","observation_id":"8bd24170-3d3b-44e0-b4c0-1ffbc740150f","resolution":{"observed_at":"2026-07-08T04:24:33.431864Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.398661Z","title":"P., Goodman, T","venue":null,"work_id":"dbf3468b-d550-409c-9a5e-fc4cc9de0231","year":2011},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:f28dd1a2fbe231c07ab6e369a3a12200b1c82ac127e590a8c9618ec0e5603916","observation_id":"c27b40c2-7b21-4fc9-86dc-9b50d66b7342","resolution":{"observed_at":"2026-07-08T04:24:33.400163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.396454Z","title":"and Gu, S","venue":null,"work_id":"77d204d4-3071-44ad-83fb-4f4dd77ec0e3","year":2021},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:c6e1a159f934def4ec9a264de3731124644177b76cb8507509805307a1ac5d1d","observation_id":"9275eb0f-2ced-4ed2-831e-6ca213fe10ef","resolution":{"observed_at":"2026-07-08T04:24:33.397890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.403049Z","title":null,"venue":null,"work_id":"1e9d3f88-6546-4b3c-8bc6-9f14855b561d","year":2020},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:ae8dd954189d18e4b7149ff5e6f368e16861ec391b22ef09663da49c83587125","observation_id":"8713893e-1387-4012-a70f-7c223af1a8a4","resolution":{"observed_at":"2026-07-08T04:24:33.404607Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.408153Z","title":null,"venue":null,"work_id":"3851b41b-578b-4b70-abaa-ff1addf64f06","year":2002},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:28430572d2c324a97d637fd0b9eddba6d5c761f7942f5e282088a77c461c74c5","observation_id":"b37c7234-0dea-46e6-b7ee-bcb475818eef","resolution":{"observed_at":"2026-07-08T04:24:33.409533Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.392250Z","title":"J., Paduraru, C., Dulac-Arnold, G., Li, J., Norouzi, M., Hoffman, M., Heess, N., and de Freitas, N","venue":null,"work_id":"2f249ffb-60c0-4836-9d6a-a8cce84100a2","year":2020},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:45e64f92d5ee709437c24de12ea18134a69ba2cea61499afe3e06a3f954d2dd0","observation_id":"83818e9c-7804-4a0c-b7b9-b39ae7eed6dd","resolution":{"observed_at":"2026-07-08T04:24:33.393761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.387502Z","title":null,"venue":null,"work_id":"befccd52-8735-4f6d-8a0d-3bb885b09a44","year":2022},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:b8602b2755d29bce4e02785d13dfb6279b1930104635ef7836453bf5b415bdfd","observation_id":"5ae73ad8-87e3-4afb-ad4b-004104e7a31d","resolution":{"observed_at":"2026-07-08T04:24:33.389532Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.390263Z","title":null,"venue":null,"work_id":"bdcaa198-0469-4d31-9a9a-9c289de923b6","year":2020},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:a765341d9356c845c489914e8ef255c049d9a084563b552bb42421a75e0ebd68","observation_id":"e8f6e324-2842-40f0-85bc-30d82a413e6a","resolution":{"observed_at":"2026-07-08T04:24:33.391556Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.394427Z","title":null,"venue":null,"work_id":"0ff6e5a9-4ece-4519-8387-caa6e50d6abf","year":2020},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:9d1f98aeda1f0eca2b3c99e155af4b5dbaac491ad68267451791ddef70ec229b","observation_id":"86533565-03a0-49dd-8b79-6b4b1bccdb64","resolution":{"observed_at":"2026-07-08T04:24:33.395744Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.410446Z","title":"P., Hunt, J","venue":null,"work_id":"06fca695-2cea-4a75-8995-7320e139ab8c","year":2016},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:835aa2e0ecf02b99a4b472e7ef06cefeaa77459fa1fc79079ae2b576a56dcfbe","observation_id":"cb18fbf6-5979-4e8f-bcee-2fa79a66bd04","resolution":{"observed_at":"2026-07-08T04:24:33.411991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.400970Z","title":null,"venue":null,"work_id":"6fbdfc46-d801-4b36-8b15-ee15865cd100","year":2023},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:c452e00dab8ce81d84f812b17dfcc09556b739e44c37c05f9f079549aa048a29","observation_id":"a9c65c82-3fb5-41a3-96ef-fe5632bc95b1","resolution":{"observed_at":"2026-07-08T04:24:33.402355Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.375219Z","title":"C., Grierson, B","venue":null,"work_id":"570ce8f5-cef1-4f0f-9366-0c50376d349b","year":2018},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:408f8ddb662b159dcbd6fae2bbb2cce213f0c51935ada869889c1d685a79e23e","observation_id":"62a27507-f02d-4039-a36f-54eb352a6166","resolution":{"observed_at":"2026-07-08T04:24:33.377835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.405358Z","title":null,"venue":null,"work_id":"bf7580b8-446c-46c2-8b56-30e92e57c31f","year":2022},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:57e90921d88de3798bd9b86ae356c235f6c0496af9cfae984e51a7044d7de4ca","observation_id":"baf6dc53-f040-4e07-b97d-627d14ac5468","resolution":{"observed_at":"2026-07-08T04:24:33.407078Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.371521Z","title":"Real-time control of the q-profile in jet for steady state advanced tokamak operation.Nuclear Fusion, 43(9):870","venue":null,"work_id":"d2d3875f-a596-4649-b2eb-69fabea41875","year":2003},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:c1f798732e487fc10ea7cd3804526da8e0dd16ea89c8f1407b38a90916f8291c","observation_id":"1dda90ee-8931-4c39-9a95-6b524ccec7f3","resolution":{"observed_at":"2026-07-08T04:24:33.374190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.379029Z","title":null,"venue":null,"work_id":"57f79207-d222-452b-b57c-6fe9081b09e7","year":2025},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:c546d739343ff9924bd6a77dfa768e646777d142f5d46abb2199a255279343bf","observation_id":"17868765-beec-4730-83c7-88cbb699b1bb","resolution":{"observed_at":"2026-07-08T04:24:33.381369Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.363917Z","title":null,"venue":null,"work_id":"245e678a-c353-4b39-981d-20b8f67ffd9f","year":2022},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:f80c1d79af33a746ea52931956e8907584a5b2b2d88121abd81a232e5ebb2a14","observation_id":"4a27b61c-5a08-4db7-a6fa-163b1db0db02","resolution":{"observed_at":"2026-07-08T04:24:33.366490Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.367917Z","title":null,"venue":null,"work_id":"05a4637d-ff68-4bc0-9cd5-d2e9d6b9e7a4","year":2024},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:2433da13bd16d3f4396a011c380a1670bd8c4796109796f3705ac6c2ed35f86d","observation_id":"f54ed25a-7901-4b8c-9e65-e937bac2e5f2","resolution":{"observed_at":"2026-07-08T04:24:33.370308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.382738Z","title":null,"venue":null,"work_id":"df2d42ec-bc95-434f-86f4-7f6dd82784a1","year":2022},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:f61ae95fe4181919484381f9c606f58319408d87863de59629b63a8e8854998e","observation_id":"ad01594a-f89b-4850-9e76-df061d22bbf7","resolution":{"observed_at":"2026-07-08T04:24:33.385918Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.412765Z","title":null,"venue":null,"work_id":"c21f826a-7872-445a-9be4-f7f189fac0c3","year":2017},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:97f9059c291edc52b817eb747efa9507d5496c5a88e75141c542b7733f493447","observation_id":"a1e8e7fa-8ecd-47de-a70f-eb7c6aabc316","resolution":{"observed_at":"2026-07-08T04:24:33.414449Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.424988Z","title":null,"venue":null,"work_id":"24e23607-c225-4f95-8f37-c5eb7fbd7fd5","year":2024},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:e4eda8e7a8bc395bbaaa12219dff11936b008fc78e27b37c3bafccf070ce8af8","observation_id":"33649ab0-394f-4a5a-b034-3f10e643c8b5","resolution":{"observed_at":"2026-07-08T04:24:33.426807Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.329770Z","title":null,"venue":null,"work_id":"54cff6e4-43ba-4f83-98b4-1185e226fa1a","year":2025},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:ba6d33c68319b05f4abde30bc57be23cc7e19b6dbebfd6659b690eb16af1b5b0","observation_id":"7c0ca146-cce7-40c5-8878-434170efbae7","resolution":{"observed_at":"2026-07-08T04:24:33.331875Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.346281Z","title":null,"venue":null,"work_id":"798063c0-7084-4dfe-bda1-1bcfc196c70c","year":2026},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:7d117c83ddb8905c633b3852048d877d31bb90861a57f0f989490bfd11176225","observation_id":"df2c8bdf-be49-4371-ae41-11454fee521a","resolution":{"observed_at":"2026-07-08T04:24:33.348371Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.349414Z","title":null,"venue":null,"work_id":"ac0236dd-ae0b-4b2d-b3e3-dbde63c572dc","year":1994},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:8cd95a70f875cf8bd5368757a6469c91bd010adc54823d7d653fe76e13fb0272","observation_id":"5493a511-6b7c-429b-b636-4888f0870dbf","resolution":{"observed_at":"2026-07-08T04:24:33.351639Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.352713Z","title":null,"venue":null,"work_id":"433c16c1-a56b-4c7a-8c7f-99ac1a1923e2","year":2023},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:81a6ca58bb4be9e2b2d9761abd7c5f3746c72d0217cf705826db4fc21e498385","observation_id":"ba1970c0-561c-4720-8275-96afcf600a03","resolution":{"observed_at":"2026-07-08T04:24:33.355598Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.360270Z","title":"J., Riedmiller, M., and The TCV Team (2024)","venue":null,"work_id":"8ceabe2e-92f6-45a6-bb06-8abc2094c150","year":2024},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:0767432c3edfaebae2ac6f11380ca6dc22b3e0655d9de22f56df1ea39652ec45","observation_id":"7d3ee093-4f3c-4ea1-80a4-cc780abd4f91","resolution":{"observed_at":"2026-07-08T04:24:33.362617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.356832Z","title":null,"venue":null,"work_id":"b51c6b66-277c-444d-9113-2bad256f5a9e","year":2006},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:a537f8bb8f8da1247a493f1415318e5a7fcbcbce137ae2dee88b42c5fd96f144","observation_id":"5fee6b9b-0813-4a99-bd27-3cb7057c73b3","resolution":{"observed_at":"2026-07-08T04:24:33.359124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.427901Z","title":"M., Rea, C., So, O., Dawson, C., Garnier, D","venue":null,"work_id":"fd0b5139-431c-45d7-b84e-68d976f4c91d","year":2025},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:2b82b91d2d7148c6ddae8e080a6313392e57372e2c307e5f2b6bbba1f1a280c7","observation_id":"b51592ec-a942-4557-a26d-9483778504b6","resolution":{"observed_at":"2026-07-08T04:24:33.429425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.315634Z","title":null,"venue":null,"work_id":"afdc1c5f-10d7-487d-8a86-c521d394af6e","year":2021},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:d68362f5b0d178d197d2c3f1e927a67a07d5c6ab52bec017353b832d4a19b063","observation_id":"08926b01-9e7b-4b20-b74c-398a67db29da","resolution":{"observed_at":"2026-07-08T04:24:33.317409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.326714Z","title":"M., Horvath, L., Chang, C","venue":null,"work_id":"3efbb3ac-9c72-4b5b-acda-a229f32c0fb0","year":2024},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:047068cc2586472d67cb00d0b3c0cf1b402cd28e6a5645eddd8c9bfc5e6eaede","observation_id":"e980b40c-4183-4e33-84e2-fb8b05f37e8a","resolution":{"observed_at":"2026-07-08T04:24:33.328761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.339598Z","title":null,"venue":null,"work_id":"23d2fd3e-72c4-4bfb-a2d2-6924e2febc04","year":2021},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:16cb23b102ba6ce3c096a5590aef33d998a6d091ebf86d75fb6e8878aa359aeb","observation_id":"bcde59e8-7a8d-49b1-9c7e-1d4b6fdcdc2a","resolution":{"observed_at":"2026-07-08T04:24:33.341703Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-08T04:24:33.432905Z","title":"Y ., Levine, S., Finn, C., and Ma, T","venue":null,"work_id":"117a590c-ea95-43d4-9494-840df015c16c","year":2020},"citing_paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T18:27:28.828786Z"},"links":{"citing_paper":"/paper/2606.07550"},"observation_digest":"sha256:753ac2b26b8e1f0b44662e0f725a980b467a8ed916dbc3507d35e12c12fa3e11","observation_id":"dfa732fb-eb42-465e-ac83-426ec103c966","resolution":{"observed_at":"2026-07-08T04:24:33.434901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.07550","last_updated":"2026-05-19T14:09:29Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T08:13:17.444135Z","submitted_at":"2026-05-19T14:09:29Z","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":43},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.07550."}