{"as_of":"2026-08-08T06:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bd99c2a45f3e857a637729e2f003667625ced0011b5a50dc4f73855cc6ede2de","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:55:39.757786Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.06824/citation-record","integrity":"/paper/2506.06824/integrity","json":"/paper/2506.06824/citation-record.json","paper":"/paper/2506.06824"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:55:40.730350Z","title":"Hwang, J","venue":null,"work_id":"83cc8fcb-aa63-4942-bb3d-b5cddfe7b4c6","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.513475Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:c30d375bf767af8bc3e71b4b416d317d7a21ac50d690857b002620e7ee90dbd8","observation_id":"96157a31-6529-45b0-9e9c-2178a2e910fb","resolution":{"observed_at":"2026-08-07T05:55:40.734840Z","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":"2026-08-07T05:55:40.716134Z","title":null,"venue":null,"work_id":"0629cb71-2319-43fc-a1d0-d31b0cbdf4f0","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.518695Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:d847dceaf6a0ffc158d1bd27ee0fb0279784ab026ecca5eb6b463111dd817ee4","observation_id":"df6836a4-f1c4-4682-ab1f-61fa208dc08c","resolution":{"observed_at":"2026-08-07T05:55:40.720329Z","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":"2026-08-07T05:55:40.702670Z","title":null,"venue":null,"work_id":"7756fcda-c6e8-4e49-9ff4-75e117d489d7","year":2024},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.523468Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:8dc727de82c0b85d290b4dd73b7db766c1cc3900e3ae22f481396601e4d0c5ed","observation_id":"771773a5-a2aa-4088-803c-a8ea5de083ad","resolution":{"observed_at":"2026-08-07T05:55:40.706916Z","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":"2026-08-07T05:55:40.689470Z","title":null,"venue":null,"work_id":"9d3ca5cf-fb38-4654-9f89-c6b3498b32e0","year":2023},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.528767Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:5b63737da65ebf83dc81250ea5810f42a03537f0ffcc2c63e2fc67817ae21632","observation_id":"e6f8d6c4-3f9f-436b-a01f-51a4192b1df8","resolution":{"observed_at":"2026-08-07T05:55:40.693814Z","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":"2026-08-07T05:55:40.676032Z","title":null,"venue":null,"work_id":"e428d600-ae2e-43db-8a9f-9df2f7e18014","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.533784Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:a75a9a839d389b4822386c74fe313a13962e3d512aa2b31a88bf9051f88c67be","observation_id":"bc499e03-c5bc-42d8-9804-2de1a255efbc","resolution":{"observed_at":"2026-08-07T05:55:40.680380Z","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":"2026-08-07T05:55:40.662398Z","title":"Tavana, M","venue":null,"work_id":"44be3a83-3e61-4757-a4fb-5fcb46a0088d","year":2021},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.538577Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:e40d58b20884a51509e803dd7502c5bf3d9ce5483711b9e7b3348236d3c3c1ca","observation_id":"12e1b319-c1de-4ac1-b218-0b4ab5df0532","resolution":{"observed_at":"2026-08-07T05:55:40.666748Z","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":"2026-08-07T05:55:40.649232Z","title":null,"venue":null,"work_id":"27cc2afa-f273-4231-be2a-a9517468a1b0","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.544072Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:637dc097623281644ee4827e737bfcbe1168dd78bdd6b9e6737b30c127be033d","observation_id":"d394317c-08fe-459e-a0d7-c03a25c03fd8","resolution":{"observed_at":"2026-08-07T05:55:40.653260Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:55:39.548652Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.548652Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:cbf8c018e7da178588bf919a54d9ca2abeedea31675cc80a704e4689359456fd","observation_id":"6f86ba95-213a-4f8d-89a3-3566eb11c41c","resolution":{"observed_at":"2026-08-07T05:55:39.548652Z","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":"2026-08-07T05:55:40.635884Z","title":null,"venue":null,"work_id":"43d16018-9d50-4382-abc0-1ba659714277","year":2014},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.553140Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:1620bddbe873b90dbcd0efd9b218022646be45cb3b9838c7996aa07fa64d9428","observation_id":"a303c721-b20a-44e0-99b8-6a4315206ea4","resolution":{"observed_at":"2026-08-07T05:55:40.640143Z","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":"2026-08-07T05:55:40.622406Z","title":null,"venue":null,"work_id":"34e578d0-f159-46d2-997a-945933d46298","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.557825Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:bf028dae4c120c89dd1f871b412d4e9eace9ceda0f0493bf432eb2547b7634a3","observation_id":"30066660-ce86-491a-8499-c5e68dc59ba1","resolution":{"observed_at":"2026-08-07T05:55:40.626721Z","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":"2017.27554","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:55:39.939821Z","title":null,"venue":null,"work_id":"4076a99b-4293-48ba-a3a4-4ca76f1e639a","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.562393Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:40107f949569bc4980fc63415daa18dcb2ee92e2243baaa45748e66190265625","observation_id":"1fdae7ca-1b0f-4769-ad8d-43f3051e9e37","resolution":{"observed_at":"2026-08-07T05:55:39.946780Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2014.23526","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:55:39.855875Z","title":null,"venue":null,"work_id":"70a140cd-a324-48f5-8fa3-5dcddbe8f115","year":2015},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.566805Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:86567c3017c31cb6a6c657d71095602cfcbe49cd93b8fe4d8bdbeb7c210a5d2d","observation_id":"b9bb03ea-00a7-4014-a7bc-43aa31fb7e2b","resolution":{"observed_at":"2026-08-07T05:55:39.863823Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-07T05:55:40.608733Z","title":"Zhang, G","venue":null,"work_id":"1be60de0-8165-47eb-b1bb-a4eea99889c8","year":2024},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.571074Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:dd6051856c10dfc4ef4a89da4ae15b9fa473433dfd3d6798c5268706cf544704","observation_id":"7aa28f55-a078-4232-ad87-ef82eabc1af5","resolution":{"observed_at":"2026-08-07T05:55:40.612959Z","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":"2026-08-07T05:55:40.595264Z","title":null,"venue":null,"work_id":"d5866ecd-b169-4bcb-884a-d431577bb359","year":2020},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.575425Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:aa0ae12851f54eefea7f25f9d5895cfc7d5ae114df3b7a799263e8a8b09a84cb","observation_id":"16956f7a-12fe-40a4-9519-49309fae6f23","resolution":{"observed_at":"2026-08-07T05:55:40.599686Z","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":"2026-08-07T05:55:40.581180Z","title":"Thomas, O","venue":null,"work_id":"46687528-0662-41c7-9f7b-b7c0673a06ed","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.579818Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:8a3ba1f5f61a51b65a0e76103ae61ab09fae9a946bf01b8fbdc9dd0c29d02b71","observation_id":"a077ef12-89fa-475a-bd4c-c9deb8fffd50","resolution":{"observed_at":"2026-08-07T05:55:40.585903Z","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":"2026-08-07T05:55:40.567584Z","title":null,"venue":null,"work_id":"a6b778bc-09a9-4fe1-b0ea-30042325ebed","year":2021},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.583951Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:ee5939a43bb53a4dbc3e4290fc1f49b2ccc240d6381eb8a3ef7078331e87c179","observation_id":"d847839e-8d97-4e00-a201-9249df8c5f6e","resolution":{"observed_at":"2026-08-07T05:55:40.571977Z","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":"2026-08-07T05:55:40.554411Z","title":null,"venue":null,"work_id":"c96fd1ae-7913-4926-bd61-53e3fab9835a","year":2023},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.588180Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:e67c275e5022c1d5393e5eb755e9198f88f20e55b5bf9439459834ab14ac057a","observation_id":"8e2fb1a1-bcf6-4235-ab6d-bf09c69fcabf","resolution":{"observed_at":"2026-08-07T05:55:40.558699Z","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":"2026-08-07T05:55:40.540901Z","title":"Olmos, I","venue":null,"work_id":"a8698efa-b14c-44eb-93ce-6de347aefbe0","year":2021},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.592704Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:943590a5cef15ad0bf751bced38da52dfc44ee0001e260271e0da33ed8e5a4b4","observation_id":"3c298635-791a-4b25-8950-c8843d94b0b6","resolution":{"observed_at":"2026-08-07T05:55:40.545108Z","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":"2026-08-07T05:55:40.527438Z","title":null,"venue":null,"work_id":"dd8f895c-336e-41e0-b304-91b8f87e2f71","year":2023},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.597069Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:662ea7d6961fe65279d21cefd96c664746beabe1218f03892a7d349b501e0ace","observation_id":"a98b0761-2ff4-471f-bc9d-e7e83f3f4494","resolution":{"observed_at":"2026-08-07T05:55:40.531810Z","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":"2026-08-07T05:55:40.514321Z","title":null,"venue":null,"work_id":"a781b7dd-51cd-4786-a195-8db11445b0e5","year":2020},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.601436Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:212b81b6cee07a1750a8f56b4d759ff249ecf00eb4198e7b70306c22b70e30a6","observation_id":"74567893-1818-42ca-9f92-e7ccb3480139","resolution":{"observed_at":"2026-08-07T05:55:40.518529Z","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":"2026-08-07T05:55:40.500470Z","title":null,"venue":null,"work_id":"7fba54e4-73e0-40c6-81dd-67d51670cbfd","year":2024},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.605936Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:34812f8357a8753de17ac1ef7a8864781f9aec0b5caf94ced01e82b343fcbecb","observation_id":"cd219791-32e0-4474-917b-9f56840631af","resolution":{"observed_at":"2026-08-07T05:55:40.504799Z","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":"2026-08-07T05:55:40.486847Z","title":null,"venue":null,"work_id":"2e97c8fc-1173-4ce2-a372-f773c1617907","year":2024},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.610214Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:f7b7f6a483b636f2831cb3b0bfb2db65bf1a3bc0672eb5ef76039976dc54967c","observation_id":"9987dd2b-51d2-4bb9-b3fa-5a2773cafd30","resolution":{"observed_at":"2026-08-07T05:55:40.491452Z","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":"2026-08-07T05:55:40.473311Z","title":"Harnischmacher, L","venue":null,"work_id":"44a2da80-08e4-4e43-a20c-395be574dd62","year":2023},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.614557Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:a428a5b0ff9e3c643f0c071391c3848e9f7761bfb029babf2730f9fbd7a2fcdd","observation_id":"e05e7e68-fa1c-497c-ab66-5e0b224f7c8d","resolution":{"observed_at":"2026-08-07T05:55:40.477866Z","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":"2026-08-07T05:55:40.459257Z","title":"Zhang, J","venue":null,"work_id":"3b0bedd4-ac14-4b2d-a244-542819132f54","year":2011},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.619035Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:5670ea8e36ba7166d4fa1c86624436b9be505571aa434202c1ff9d6b82e0dbd1","observation_id":"08e532b9-03ab-41cd-bc79-39c054ce7738","resolution":{"observed_at":"2026-08-07T05:55:40.463466Z","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":"2026-08-07T05:55:40.445543Z","title":null,"venue":null,"work_id":"b56596cb-5ca4-4fba-9afb-9cc7d6c9abcc","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.623407Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:d0af4ce8155430c80b7067541a4fae4ba2e7555b5e27bd8c7c2eeece0ea7c596","observation_id":"3a3df476-d487-446c-a221-7c6a2308507b","resolution":{"observed_at":"2026-08-07T05:55:40.449980Z","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":"2026-08-07T05:55:40.417567Z","title":null,"venue":null,"work_id":"07bbcfd4-a5d9-4fbd-a279-a90c025166fb","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.631963Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:d3cc36a417abccc6fc49f5f212f209e4a409a6af9cc57cc02288d855d661ffb0","observation_id":"839ad065-4c7b-4b80-9520-7f08805de150","resolution":{"observed_at":"2026-08-07T05:55:40.422273Z","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":"2026-08-07T05:55:40.403659Z","title":null,"venue":null,"work_id":"04347e2e-575e-4c25-9ff8-e82c25c5f524","year":2024},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.636419Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:2368fe942af6d1b7ec62cd775b0e8ce1fcdb104ac5dbe90041f68aaea94a9705","observation_id":"b419be59-c4bf-4c1d-948a-0019958f0622","resolution":{"observed_at":"2026-08-07T05:55:40.408116Z","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":"2026-08-07T05:55:40.389752Z","title":null,"venue":null,"work_id":"14ea6e11-dee3-4685-9657-66178c449e97","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.640605Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:53c7e7ebedafb9b37da4900aa31339fa1c4116dae8d0d61e98da241ac1f1b15b","observation_id":"5dc55802-7c50-461e-9c19-6b93b1413303","resolution":{"observed_at":"2026-08-07T05:55:40.394362Z","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":"2026-08-07T05:55:40.376452Z","title":null,"venue":null,"work_id":"e6be2a71-7c25-4abd-ae8d-e8ba035eca02","year":2021},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.644659Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:7ac7f8075e96e8fa1462491296127494d0575142adbb4e8c879644b4845372f1","observation_id":"8de6b5d7-662b-46cd-b9c7-0ce27a923c20","resolution":{"observed_at":"2026-08-07T05:55:40.380733Z","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":"2026-08-07T05:55:40.362816Z","title":null,"venue":null,"work_id":"9f46285f-208a-403e-95ef-ab26e67d91d8","year":2016},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.648784Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:ed6797994fdbee8fc0d508002f139ee74095e62aa7ca289000111e0306be2cd3","observation_id":"dd251949-b0a7-4aa6-86af-3b5c5c2be1ab","resolution":{"observed_at":"2026-08-07T05:55:40.367445Z","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":"2026-08-07T05:55:40.348840Z","title":null,"venue":null,"work_id":"049b9a0a-fa77-40d7-b291-e9af954caf91","year":2024},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.653177Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:4d2ff5249c606cbdde20e206a58cb443880c76b35b8c1c65de6e9b2c84db3190","observation_id":"6c21457e-55bc-4a51-bc8f-a87ae06b68b4","resolution":{"observed_at":"2026-08-07T05:55:40.353102Z","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":"2026-08-07T05:55:40.335898Z","title":"Mohammad, R","venue":null,"work_id":"0856de7c-07ae-4257-9917-8eadf71e8ae4","year":2020},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.657270Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:310845ea6557ecb9bd66ff9690ed996ab526a185cfb41c9ed2bcda668f6e1896","observation_id":"2af62355-b51e-40ee-9513-c85cdaf09a54","resolution":{"observed_at":"2026-08-07T05:55:40.340272Z","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":"2026-08-07T05:55:40.431466Z","title":"Buonomano, Building to vehicle to building concept: A comprehensive parametric and sensitivity analysis for decision making aims, Applied Energy 261 (2020) 114077","venue":null,"work_id":"b017982d-97a7-4966-9f6a-b58ce4115a2e","year":2020},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.661556Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:e7d04a08f0f714e29782fea03d4d05765de55695ae5548f48ab79f24b7ada159","observation_id":"980b2b9e-0dd6-4913-8691-9d94296f6840","resolution":{"observed_at":"2026-08-07T05:55:40.435929Z","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":"2026-08-07T05:55:40.322357Z","title":null,"venue":null,"work_id":"b61c392d-63b3-4535-b9b9-1095abad70d7","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.665877Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:bc6581ff4f1c7c742e9dd14083df8b4d718997eb4e91017d88024d6c4c3efb06","observation_id":"11e7128b-a7b7-497e-b1dc-c345544f65b9","resolution":{"observed_at":"2026-08-07T05:55:40.326572Z","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":"2026-08-07T05:55:40.308888Z","title":null,"venue":null,"work_id":"5055e585-9c8c-4d76-9d91-a32169b2cb1c","year":2019},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.670386Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:1413be94ffef026ac34fbfbec3ac3f2c48fc51d0fce33601d053eb0101ea240a","observation_id":"dd0f17db-53af-4de1-a2fc-efefd956e6dd","resolution":{"observed_at":"2026-08-07T05:55:40.313221Z","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":"2026-08-07T05:55:40.295581Z","title":"Liu, X.-F","venue":null,"work_id":"29feb288-7793-48a1-be0f-ecf8c103def4","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.674701Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:3ba85e16763fd104159830eb420b78fa60ddca0e605aa97cb20cd8b50e8603bb","observation_id":"9e263d94-2649-43af-abe3-de351acee755","resolution":{"observed_at":"2026-08-07T05:55:40.299845Z","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":"2026-08-07T05:55:40.281259Z","title":"Chen, I.-Y","venue":null,"work_id":"fd35237b-12d4-48fc-9503-8bd501e3d911","year":2023},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.678895Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:96824e250fd15e57904142654cfed55e6a539f92b5a3df856af509165880f31e","observation_id":"e9436435-aa93-41ad-b569-df19f1f77939","resolution":{"observed_at":"2026-08-07T05:55:40.285673Z","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":"2026-08-07T05:55:40.267188Z","title":null,"venue":null,"work_id":"ca7835e9-f7c5-43b0-88c1-1adee87568ab","year":2022},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.683130Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:54b8d4bb7b1e4c6bae41a29ea7064ba2139f57f31ec034fd9bf79c68bfa7e1c2","observation_id":"3e0809bb-3b46-4af5-be9c-bbd8fa4187b2","resolution":{"observed_at":"2026-08-07T05:55:40.271531Z","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":"2026-08-07T05:55:40.252615Z","title":"First Author et al.:Preprint submitted to ElsevierPage 35 of 36 Short Title of the Article","venue":null,"work_id":"e8960692-153f-43b1-9567-e896b725a57a","year":2016},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.687358Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:a3eaa9f7b0eb8572c4d2918712344f5cbb43eabab3b00beebf240c5223421e18","observation_id":"1e0d65bd-51ba-42e5-98aa-03a37f1b7c74","resolution":{"observed_at":"2026-08-07T05:55:40.257817Z","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":"2026-08-07T05:55:40.238759Z","title":null,"venue":null,"work_id":"0c652438-2046-4cdc-9884-99b95ecadb6c","year":2021},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.691629Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:ee59f166de4e2f45a29c4d820ddf3a86447b95fafa043a24e57ff216b3f0070b","observation_id":"5a9e5c2d-17a3-401b-b2c0-6e77699c6ee7","resolution":{"observed_at":"2026-08-07T05:55:40.243068Z","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":"2026-08-07T05:55:40.225372Z","title":"Redondo-Iglesias, P","venue":null,"work_id":"1c2acfce-b816-410c-94a2-21a3eb2200bf","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.695853Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:2d96b6721c13f115f18544ba51bc031c38fc96517a77ced5d07514ec0676c155","observation_id":"8d12c762-cff4-43be-83a6-adeadec66ceb","resolution":{"observed_at":"2026-08-07T05:55:40.229894Z","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":"2026-08-07T05:55:40.211526Z","title":"Xiong, P","venue":null,"work_id":"fe0da0c3-42da-4b09-8f2b-98d312d3c899","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.700415Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:22ddfebfc6dff8385af2c7ace989cf62149f0421a7e20c384f6d8a533d1c0b77","observation_id":"c4136775-6e67-41f8-98e5-9a12ec397ffd","resolution":{"observed_at":"2026-08-07T05:55:40.215858Z","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":"2026-08-07T05:55:40.197657Z","title":"Kassem, C","venue":null,"work_id":"c04ac299-4c3f-4ef5-b1da-eb2b10fa2adc","year":2013},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.705148Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:edcbdd53e847fefd9324fe56649c15df0eab3b27bbd708e929ee4f53a511109a","observation_id":"b6ec7eca-eeda-425a-b35e-0c764d6e00fd","resolution":{"observed_at":"2026-08-07T05:55:40.202034Z","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":"2026-08-07T05:55:40.183850Z","title":null,"venue":null,"work_id":"cd6c1529-3234-46bd-8955-cbc999429de6","year":2013},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.709662Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:dddd6227fef55899f4185202ce371f86829d467cc78ab2497e7045004ae8d1dd","observation_id":"4b4e6238-b8d1-4c52-925a-76dcb90ab146","resolution":{"observed_at":"2026-08-07T05:55:40.188181Z","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":"2026-08-07T05:55:40.169873Z","title":"Nájera, J","venue":null,"work_id":"a78e01a8-0f58-436f-aa69-37e382eb45b0","year":2023},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.714162Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:44ec1984bae080c7bdffb2c417dd3bf91eeecc5aa4dcba160fbfdb0241e67048","observation_id":"46c0a222-a98f-4a24-9972-8672343376b1","resolution":{"observed_at":"2026-08-07T05:55:40.174189Z","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":"2026-08-07T05:55:40.155600Z","title":null,"venue":null,"work_id":"8997b170-2193-445c-a746-c2bd50caaf87","year":2011},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.718451Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:93fb7e4345b5a58352dc73a91c23cdc57844d73d5d1f47062747210d9bfdd035","observation_id":"16d59f8f-ece1-43f8-b9fc-85c3697ce389","resolution":{"observed_at":"2026-08-07T05:55:40.160060Z","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":"2026-08-07T05:55:40.140058Z","title":null,"venue":null,"work_id":"1dfa9d75-9915-4c77-9511-d512b3888a7b","year":2017},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.722980Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:2b792117948a0961196937d65efceeea4540a2b194c444b6789d2bbbffcb5740","observation_id":"47f49a13-e8b8-4e68-8400-8601902b25ec","resolution":{"observed_at":"2026-08-07T05:55:40.145340Z","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":"2026-08-07T05:55:40.124885Z","title":null,"venue":null,"work_id":"ba2be16e-96e1-4d95-bc9e-763bd837c1f9","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.727383Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:864202400399dcc2200eaeed0490c52eaa9776574e4c2649ff75ad127763a9ad","observation_id":"cd667179-24a8-4a20-a15e-05d2d064a16d","resolution":{"observed_at":"2026-08-07T05:55:40.129300Z","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":"2026-08-07T05:55:40.110387Z","title":null,"venue":null,"work_id":"234a4eb8-52da-4fb8-a056-4e9a3c83a5f9","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.731623Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:88d05cb3c8d5e7270012167377f53b7e4ac19775bf544c0bc45179bd2ba9b687","observation_id":"f8ddd62d-9279-4b2d-b7e8-88c62872319c","resolution":{"observed_at":"2026-08-07T05:55:40.114895Z","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":"2026-08-07T05:55:40.095827Z","title":null,"venue":null,"work_id":"c27563b5-30ca-485a-ab2b-dc2837677605","year":2022},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.735731Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:b2cea0b6def762132bda2b0088642b12ebca6f1f8d4172150921bc32eaa9d6af","observation_id":"45d5a474-b157-49c5-b885-677c59b31f10","resolution":{"observed_at":"2026-08-07T05:55:40.100669Z","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":"2026-08-07T05:55:40.080820Z","title":null,"venue":null,"work_id":"6ee6c636-937f-47ac-86b2-7d45e5c89612","year":2016},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.740029Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:82f7cb01955e984f8e93c8b5ae1a14f510e8019cd1f4cf4a425ffb484fd292d9","observation_id":"7380b248-b042-4899-96ef-11711ff660d8","resolution":{"observed_at":"2026-08-07T05:55:40.085464Z","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":"2026-08-07T05:55:40.065122Z","title":null,"venue":null,"work_id":"d07aee92-065c-4c62-b854-50dfcaaa8304","year":2018},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.744426Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:9ecab6726efb449108b113cddde82ae904f51acb820a5922b36ea13c59340a57","observation_id":"09de763c-505c-48c3-83e3-fee00fb5f2fb","resolution":{"observed_at":"2026-08-07T05:55:40.070497Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:55:39.748962Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.748962Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:37dc985eb8cac54c14fe603d3486fbe0e3fac843b427addca59862cfacdbf051","observation_id":"5b946377-977e-47ba-853c-96a89c681fe9","resolution":{"observed_at":"2026-08-07T05:55:39.748962Z","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":"2026-08-07T05:55:40.041739Z","title":null,"venue":null,"work_id":"653dcc5a-70f1-4199-a601-b00dca3f8387","year":2025},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.753523Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:3797f4bba4003c882944668d7eddc7d13f3519ac2f17536dca685724faa219c8","observation_id":"76943786-8695-4636-bd3f-1c53c192ad7c","resolution":{"observed_at":"2026-08-07T05:55:40.046323Z","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":"2026-08-07T05:55:40.027333Z","title":null,"venue":null,"work_id":"f4ca1c47-4406-4c51-816b-ed67013a8ed7","year":2022},"citing_paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:55:39.757786Z"},"links":{"citing_paper":"/paper/2506.06824"},"observation_digest":"sha256:1aa3b9f99427d8ab02fbe937d6d20b07819cc07068f500180d1cb78ccf9e2701","observation_id":"4e91b191-106a-4ff1-b27a-d060369d3fa1","resolution":{"observed_at":"2026-08-07T05:55:40.031767Z","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"}}],"paper":{"arxiv_id":"2506.06824","last_updated":"2025-06-21T12:44:28Z","latest_version":2,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-08T02:47:19.535704Z","submitted_at":"2025-06-07T15:01:52Z","title":"Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":37,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":55},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2506.06824."}