{"as_of":"2026-08-09T05:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0ecc0d89014b3c29a538c3d45f6dba73cc10c2a371dc0ae7d42d33b79492e322","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:52:57.018471Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.05833/citation-record","integrity":"/paper/2502.05833/integrity","json":"/paper/2502.05833/citation-record.json","paper":"/paper/2502.05833"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:58.028696Z","title":"Bach and T","venue":null,"work_id":"b03780a0-a537-4961-87a3-6602c28bd65f","year":2023},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.719185Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:35822a3afb2ef3017e103cf86c12495716d1f5987b05f72aaf8ac4d559f7c53a","observation_id":"96803ae5-2916-4570-a68f-11bff7b1ea17","resolution":{"observed_at":"2026-08-08T17:52:58.033437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:58.014669Z","title":"Bicer and I","venue":null,"work_id":"f6f79b82-3a0b-45db-a05b-f46b4968c8e6","year":2018},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.724443Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:66fca689983243661fa1258352a4ae2f810d1862676155c4a180d063459a44c9","observation_id":"1cc158f0-4e98-4f6c-9771-8298b2cdbf32","resolution":{"observed_at":"2026-08-08T17:52:58.018928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:58.000666Z","title":"Capros, A","venue":null,"work_id":"f5a48883-6512-4448-9901-177650fcdcf8","year":null},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.729142Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:94bfdfd4921d002200b0605f0afa64c156e138afd57e162e36a0af6740840f92","observation_id":"b1e485ea-2e9f-458f-a3bb-59d35dd0240c","resolution":{"observed_at":"2026-08-08T17:52:58.005244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.973068Z","title":"Marine Environment Protection Commit- tee, Resolution, 2023","venue":null,"work_id":"14de5743-7ab3-4c3b-932a-bbbe6bd5037e","year":2023},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.738528Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:39715fe31ec32d957d078c7bb8c6484926774070e8047c9423feb71712e0264b","observation_id":"d3d180d0-7869-4606-b34c-4cfb23b5bcd2","resolution":{"observed_at":"2026-08-08T17:52:57.977671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.959285Z","title":"Sofiev, J","venue":null,"work_id":"59ef3611-f8fd-4b64-baef-f4a55eb22257","year":2018},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.742900Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:5e257e25135a57664b4a62b9b50d3bc92d296069cc4ee87d371f794d60061805","observation_id":"90b5621d-ccf7-4cdf-8217-fed75cfac9b4","resolution":{"observed_at":"2026-08-08T17:52:57.963551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.945723Z","title":null,"venue":null,"work_id":"cbb634d4-f9fc-4da5-bb48-a2a7ac9dbe17","year":2023},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.747403Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:85fe39c49789692ecec9f456b2d1ecb50fad32222cf6056783191d9370d6d1da","observation_id":"aad25572-55f3-48bb-b954-7ab9a28927d9","resolution":{"observed_at":"2026-08-08T17:52:57.950289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.932035Z","title":null,"venue":null,"work_id":"d702faac-feef-409f-bf58-f7d217fa94db","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.752404Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:0d34c65d672e395f8fdaca0636827cf10c232785764ddfcf65a3de22045ef562","observation_id":"f94ef9aa-3be2-4ced-a6a8-ae4666736e96","resolution":{"observed_at":"2026-08-08T17:52:57.936438Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.918339Z","title":"Feenstra, J","venue":null,"work_id":"721d44d1-5819-45bc-ac09-df2dd5a5c1bb","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.756624Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:ff3a7823ff806269dfe4e263851d9de0970a273a37008b82f2a20f48f515aa62","observation_id":"86eddbdf-ad9b-483d-9190-49bd8848c8ed","resolution":{"observed_at":"2026-08-08T17:52:57.922783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.904371Z","title":"Luo and M","venue":null,"work_id":"f552a8f8-5139-4f11-801a-bc010ae4e5d8","year":2017},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.761094Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:b461bc6e7924f8346341ff00611d01ffa9e67abb0ba8cea88b013f39172b0f40","observation_id":"599c1239-4181-4cc4-b083-c3670bbaf593","resolution":{"observed_at":"2026-08-08T17:52:57.908768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.889686Z","title":null,"venue":null,"work_id":"441e9574-2375-4dca-9874-0e51af723919","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.765335Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:b0019e92d8d7e2b41cd9a413ff5fad9c2c5e544d7637046bb079fd74d6e84979","observation_id":"08e80f8e-dd5b-43ba-908a-6702563ec53c","resolution":{"observed_at":"2026-08-08T17:52:57.894059Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.875769Z","title":"Bayramoğlu","venue":null,"work_id":"c4ed3e94-1297-4011-91c4-303f7b88b0a2","year":2023},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.769774Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:1901ef9e5f4df7e4dd1de24ecfef69e7169404518f280b6897ba26c062dec8b9","observation_id":"c2766b9f-b68e-4d24-88aa-87b0632860f6","resolution":{"observed_at":"2026-08-08T17:52:57.880235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.861748Z","title":null,"venue":null,"work_id":"304b6872-eabe-4b20-88e5-51104201371a","year":2024},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.774089Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:a2a875fbb2d2c938d4167b01d54cf8b165c00f2d64326ad8c51cee5c5a791e6c","observation_id":"9c0c49be-bad3-4abe-9e81-90d7fc2d44f1","resolution":{"observed_at":"2026-08-08T17:52:57.866171Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.847987Z","title":"Decardi-Nelson, S","venue":null,"work_id":"7bebf8b6-18ac-4040-9d0a-6fde2e31584b","year":2018},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.778529Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:f030f92a501753dbb9af1c2e85ee52177997046b144244b31ee9e62c8f333990","observation_id":"b1d3e1d8-b943-4004-b6db-d562f341cab1","resolution":{"observed_at":"2026-08-08T17:52:57.852469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.833936Z","title":"Morari and L","venue":null,"work_id":"dfc9fa7d-9250-4038-b4ef-edb312ab723f","year":1999},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.782724Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:b56cc199ea04a2aecfa853b3d51cbb37590aa5a92d244b19f78ba3e647dae856","observation_id":"f10316ed-ac06-4f57-95d9-5c6ebd82c176","resolution":{"observed_at":"2026-08-08T17:52:57.838749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.820043Z","title":null,"venue":null,"work_id":"91e754aa-e93c-45b6-b314-142490e6878a","year":2014},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.787055Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:5107e70ef06b5818463926a7ff12d4cb3534a1779059fcf6d3cdc67bf92e490e","observation_id":"1c8abb66-8d39-4d12-86e1-d8f00f09ed4c","resolution":{"observed_at":"2026-08-08T17:52:57.824610Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.806421Z","title":null,"venue":null,"work_id":"991fd642-3f7d-42dc-ac04-0f4eb9b34ebc","year":2016},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.791356Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:a4044f80442f43e5db78317300d3b9c66bebf7ea2f326ac871f408fd664cfc64","observation_id":"0d1469c0-d492-44b4-bf35-2b8eaa4d3226","resolution":{"observed_at":"2026-08-08T17:52:57.810682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.792287Z","title":null,"venue":null,"work_id":"6f0d7b81-7c18-4389-b024-f93c740605a0","year":2021},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.795439Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:22e6d4d0ed1455907088738f2f6fd3ce3eb23f5e9b349eb90459db9c3c4bbf75","observation_id":"2b2e5e1c-df95-4a61-8522-b9cdc1f4049a","resolution":{"observed_at":"2026-08-08T17:52:57.796680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.778635Z","title":"Zhang, R","venue":null,"work_id":"69b11f43-2379-4e13-ba14-4eb7412798c9","year":2016},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.799743Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:799639a0cf1399be0f4147afe0b375c5d330a03014694e00d74b88b213ed359a","observation_id":"c4b173bd-74a9-4ee3-a434-a0dd56740ac1","resolution":{"observed_at":"2026-08-08T17:52:57.783156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.764392Z","title":"Zhang, R","venue":null,"work_id":"4d3daad8-eca5-4b35-9f78-d80a35b7410f","year":2018},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.803871Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:9558808d21254c75d79ebcd69c6f4363b4aeb1de8bd13e737e455ca86468efee","observation_id":"accd1b0c-8135-4597-96df-0948e3b79397","resolution":{"observed_at":"2026-08-08T17:52:57.769045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.749726Z","title":null,"venue":null,"work_id":"0760b6c3-bcb6-4c2d-9c03-e075946c1cf3","year":2020},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.808095Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:fbd4f2e799c8cf364c8a066b1566fb9f34d61b7ec0c48976075b0f8fcd652319","observation_id":"1cfc4e2c-b251-480f-821e-b5e42766b594","resolution":{"observed_at":"2026-08-08T17:52:57.754247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.736108Z","title":"Panahi and S","venue":null,"work_id":"7e952c34-c4c8-46ff-91dd-cc8d6ac890c8","year":2012},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.812334Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:3b341961e4432333f0b79cbc5a115ba29fee83fd827ebc2bbea704f7c934ed74","observation_id":"12000071-2a78-4933-9593-8d23d8a7fc15","resolution":{"observed_at":"2026-08-08T17:52:57.740433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.722539Z","title":null,"venue":null,"work_id":"7b0bfa89-ef82-4efd-9f4c-59881058490f","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.816654Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:76d98ad7c32a67a15e4cf199b32f18f2d5f59c4fdba667326cc1442f98f92680","observation_id":"74cbc8db-cf8b-4e5a-ab44-50cc5c310253","resolution":{"observed_at":"2026-08-08T17:52:57.727022Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06818","last_updated":"2025-04-12T12:51:12Z","snapshot_observed_at":"2026-08-07T16:07:11.962413Z","submitted_at":"2025-04-09T12:22:42Z","title":"Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System","version":2},"cited_work":{"arxiv_id":"2504.06818","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.06818","snapshot_observed_at":"2026-08-08T17:52:57.070582Z","title":"Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System","venue":"eess.SY","work_id":"a6c07f9e-dd17-4ead-90b6-62010d387427","year":2025},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.820903Z"},"links":{"cited_paper":"/paper/2504.06818","citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:f4c1f1e7a4114df3739cc7d44aeba523f3c46848244a3f5b43acd308bd3c5c1f","observation_id":"2c184046-0e3b-4d51-9530-d409f552f36e","resolution":{"observed_at":"2026-08-08T17:52:57.077421Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.708457Z","title":"Harun, T","venue":null,"work_id":"07e0acc0-ca7e-44c0-9479-cdb0499dbf51","year":2012},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.825641Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:139ea324309cd37b02203fd56f62d1a8ad8d0f822572759745c121bb3b7fd976","observation_id":"956cf982-5be5-4511-9e65-b85d5f0b8ada","resolution":{"observed_at":"2026-08-08T17:52:57.712964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.693814Z","title":null,"venue":null,"work_id":"e6356ea7-110b-49d1-920f-05c28482adbd","year":2020},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.829648Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:56a3e7282bce67db9769a1322d371008cd32efac1cbfe0c98421b659603091cf","observation_id":"af5e2fff-4c0d-4cb5-a06c-f1a049069dc8","resolution":{"observed_at":"2026-08-08T17:52:57.698518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.679294Z","title":null,"venue":null,"work_id":"a7450bb6-0103-4ceb-84c8-5939d91b6932","year":2020},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.833785Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:56b31854be02e8e694f5b87746c59121d02ce1458dddea1b177004c9d9a65309","observation_id":"f52fa04f-6db4-4e6f-bcdf-47082ceb6036","resolution":{"observed_at":"2026-08-08T17:52:57.683868Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.665217Z","title":null,"venue":null,"work_id":"73bf4d65-91e4-4931-b9e3-5654a7bad6b4","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.838158Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:3516cb691bbb62b4cd97cfd182133c875ad732e5ea122da878ad62fcdd680fed","observation_id":"6d9e1f28-8581-484c-ac74-3490bf4530e9","resolution":{"observed_at":"2026-08-08T17:52:57.670025Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.651329Z","title":"Ghosh, E","venue":null,"work_id":"8bac4200-823a-486c-9c80-0444a88ec4df","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.842349Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:af8cbe533b26e7006eedeb77bfb22f552eed30ab05941b3e0dbac1579508964c","observation_id":"6e46b93a-337f-46db-809d-7afe491e737c","resolution":{"observed_at":"2026-08-08T17:52:57.655739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.637720Z","title":"Oliveira","venue":null,"work_id":"23cffc8c-e23c-422a-b024-999257b734ee","year":2004},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.846518Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:3feda9abdcbf4c2ae22f2bb2d6600bffafe333ef580c5ddcca0af97b728c2c22","observation_id":"99eff401-8a9b-4cad-b77d-e9288488dd90","resolution":{"observed_at":"2026-08-08T17:52:57.642039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.623838Z","title":null,"venue":null,"work_id":"bad9d9ee-d76c-450a-af20-ffa9cea8eb41","year":1992},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.850712Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:864be3e721f4814a28f3900651f51aafad3310dfb38a045a40449b5b52fabf4d","observation_id":"a2df30bd-d7a7-4e53-8cfe-9cfa6213a266","resolution":{"observed_at":"2026-08-08T17:52:57.628321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.609731Z","title":null,"venue":null,"work_id":"25e66c4c-66b5-4b33-aca1-84e7200540e5","year":2011},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.854881Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:8530a604022972c7208c286a466fce38f5a5d3cc17e2a61855d8e2a1d55e9c04","observation_id":"eb88998b-6f45-4a2c-8a9e-26a195d58a3f","resolution":{"observed_at":"2026-08-08T17:52:57.614470Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.595982Z","title":null,"venue":null,"work_id":"65952365-efae-449c-83cd-9687a8ae1f66","year":1992},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.858992Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:4015101946bfcb478fc2750b2b00f10d081015ccb809b9f03a67b163e58e3579","observation_id":"0ab63a14-8aad-4a32-b4f8-27f9f5a4bd68","resolution":{"observed_at":"2026-08-08T17:52:57.600355Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.581928Z","title":null,"venue":null,"work_id":"8d7fbc79-48cf-4c81-87d9-4750a72c4219","year":2021},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.863097Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:eb73878dfe3a3e0d5107a25575f146ceacb7146d6101837dc1018b349eccd923","observation_id":"fc67965f-0120-4510-b7bd-cd16b3a3fa7e","resolution":{"observed_at":"2026-08-08T17:52:57.586464Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.567455Z","title":"Ellis, H","venue":null,"work_id":"613681b3-7b0c-4d4e-9cb4-eb36fb6301f4","year":2014},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.867448Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:579f223fe520fd716536e3b77dd5d8486a61e3100d6dfbaaebe2bb9ebbc34aa0","observation_id":"1e351af2-a078-41b9-81c7-beb00f98862f","resolution":{"observed_at":"2026-08-08T17:52:57.572025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.553834Z","title":null,"venue":null,"work_id":"5d9b2776-260d-4d71-80ed-e369f9177d67","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.871787Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:fef9066ab3af5806fd06fadfe2024bab5278814d5e7c5a02e508db19fe6eea6a","observation_id":"b7f50049-cbc4-4766-9365-00fe8a1ab53e","resolution":{"observed_at":"2026-08-08T17:52:57.558267Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.540200Z","title":"Zhang, X","venue":null,"work_id":"2206b948-345c-49cf-b26e-9a617a85c65c","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.876110Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:46b35d788c0cfc7438e7aa16e01418b10eeab5c262b358f45a804e1a55ba0eca","observation_id":"97048ddb-8314-4f15-9d50-72beb088b4cc","resolution":{"observed_at":"2026-08-08T17:52:57.544581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.526070Z","title":null,"venue":null,"work_id":"076c801a-42ab-423f-b0d8-fb354ddc4d1b","year":2024},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.880400Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:529f28e51e6b147f56830beeebfa3844a42cadfc0affc9f79e8dea7616ec5b04","observation_id":"168b6a27-aea8-4306-a8d8-ff7592efc6b7","resolution":{"observed_at":"2026-08-08T17:52:57.530520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.512465Z","title":null,"venue":null,"work_id":"dab39b31-80dc-488f-8642-732db95a522c","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.884633Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:92a5b8972b8d48bc078d017bbb372d2d151f3bfa71f8ede339410e3629a4afb6","observation_id":"4e54592c-b619-4450-9bdc-c7626f1190fb","resolution":{"observed_at":"2026-08-08T17:52:57.516800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.498409Z","title":"Zhang, K","venue":null,"work_id":"424a94c1-76e0-4c0a-9326-f761fb1b1c48","year":2024},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.888823Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:4133a842766b3f36544dc6d5ba7a97b45d79d2e4d6868ecc936cdbe4948cfc63","observation_id":"456e2c79-c7fe-4e64-a0e9-4dbb6db3064e","resolution":{"observed_at":"2026-08-08T17:52:57.503017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.484699Z","title":"Wen and U","venue":null,"work_id":"0d0c59da-d0c3-45a6-8657-1badaa362a98","year":2018},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.893282Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:138ed7605d518e37d43182dde7cf763533fe4cb17805e53a30715229845b325a","observation_id":"0597a516-b775-4d01-a383-5d5f7b92419b","resolution":{"observed_at":"2026-08-08T17:52:57.489099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.07968","last_updated":"2021-03-06T05:09:17Z","snapshot_observed_at":"2026-07-06T10:04:55.122236Z","submitted_at":"2020-10-15T18:19:35Z","title":"Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.07968","snapshot_observed_at":"2026-08-08T17:52:56.897929Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.897929Z"},"links":{"cited_paper":"/paper/2010.07968","citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:45569d2e5d86744b3ce28662995219ec623da94f2f933f0d8a652222998c5b8e","observation_id":"2d6e2a63-01e2-45cb-a3a3-fe678bbfb823","resolution":{"observed_at":"2026-08-08T17:52:56.897929Z","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":"2026-08-08T17:52:57.470732Z","title":"Wärtsilä, 2020","venue":null,"work_id":"fa23c142-f5e7-471f-80e0-8f7416edbe5d","year":2020},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.902680Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:c346399d54900f66869a06642d663e7ad186389a00c307c871cdb3370b0a10ab","observation_id":"cf696e1d-ee04-4c83-b399-f1de910494e9","resolution":{"observed_at":"2026-08-08T17:52:57.475344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.457081Z","title":"Winnes and E","venue":null,"work_id":"8732f098-3562-41b4-a0e4-bd1f879d2850","year":2010},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.907364Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:c22c839ae45862d6950663dc59bfc181c4d1b885188c13458f8778e1ee106911","observation_id":"8771545d-4d6e-434c-ab1d-f647ef3c7345","resolution":{"observed_at":"2026-08-08T17:52:57.461426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.443702Z","title":null,"venue":null,"work_id":"fd7c1148-3517-41c5-a89c-57def5b0145e","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.911438Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:1dce2d5c35470d4ad284b44b6857dc782ed7258df34902140ffce0941a468e26","observation_id":"dba25025-a26f-4694-81e5-850e7b36ee2b","resolution":{"observed_at":"2026-08-08T17:52:57.447975Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.430230Z","title":null,"venue":null,"work_id":"94fa42e8-ae79-447a-87cf-0b0072c20b6b","year":2014},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.915597Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:5eb7f6e793d3ad304ae5c64c27bc6e18f7856e21660f2d8858c4fbc98b4e4db5","observation_id":"0c4405c4-8a90-4e93-989f-b898f69c1c49","resolution":{"observed_at":"2026-08-08T17:52:57.434546Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.416499Z","title":null,"venue":null,"work_id":"38f9989a-a64d-494e-9db0-d7657798f86c","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.919679Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:368f06efd7d431b851cbef66636476c878c2e8e23b50d78ef76358e7be68af1a","observation_id":"0d2aa3b6-c486-4e31-b001-e7ebbefd7670","resolution":{"observed_at":"2026-08-08T17:52:57.420809Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.403030Z","title":"Jouhara, N","venue":null,"work_id":"fff9e314-4607-484f-843c-2cef639a272c","year":2018},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.924005Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:493c7daca55d02ce05ec2a3e0f68c61f4a06f91cc561e72975af25186b44fe6a","observation_id":"35252ee5-059e-4ca7-acdb-c316594dbe0d","resolution":{"observed_at":"2026-08-08T17:52:57.407317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.388928Z","title":null,"venue":null,"work_id":"5a737cfb-34ae-4b03-ad2d-cbbcf78879d5","year":2004},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.928310Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:67994d1eed49b6d0d239a3039c6adeca7e89e9416999e68634bedf275f190c47","observation_id":"41c78e27-b307-4efc-8c53-e1bbfc069dfd","resolution":{"observed_at":"2026-08-08T17:52:57.393729Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.375055Z","title":null,"venue":null,"work_id":"eecd669c-b5cf-4909-b113-3d08c97f6cbe","year":2021},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.932441Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:0a19ab73171cb8a85ad4cb94b8a73826a90b5ff6731ea599185044560c906cc0","observation_id":"934ddf56-3bb3-46eb-af1e-e013896d4599","resolution":{"observed_at":"2026-08-08T17:52:57.379409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.360876Z","title":null,"venue":null,"work_id":"7c91ec63-f049-4b34-8c62-5c8af95df26e","year":2005},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.936505Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:c53b09023aa8b0e162bc2d017124881e2124c7a1a19afe2bf17725cbf0a3d677","observation_id":"19f2217a-3131-4ad0-9359-2696764ee80e","resolution":{"observed_at":"2026-08-08T17:52:57.365324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.346478Z","title":null,"venue":null,"work_id":"af46b334-6b5c-4def-9b90-48828ae5e274","year":2006},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.941043Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:74a8d93bc6c49c53e59ab5611adac16dd7704241ec652420513cced79b65c4ac","observation_id":"3251d76e-ec4d-46ad-9307-46827ca7192a","resolution":{"observed_at":"2026-08-08T17:52:57.351224Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.332374Z","title":null,"venue":null,"work_id":"3576d212-44d7-47af-aed1-a1c4a7f9223d","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.945267Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:986b763cb8afd37afe989d84107ccdb82bf1fe1eef1c7be6e44f1778df6c6fdd","observation_id":"a503b9d2-6bc9-47a0-9820-c06202eb3a28","resolution":{"observed_at":"2026-08-08T17:52:57.336702Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.318831Z","title":null,"venue":null,"work_id":"9d3b7e9f-411d-41b9-8a24-aff46cf370ef","year":1968},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.949439Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:6c421cd8d11d092f2af797b8dca26cf7e81cfedfd47460d517692c8091864d73","observation_id":"e955938a-5e3d-46f7-a7eb-d8b8ee0c6bc7","resolution":{"observed_at":"2026-08-08T17:52:57.323207Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.304272Z","title":"Geankoplis","venue":null,"work_id":"e71ddbe2-2ff6-4d0b-891f-02203800cda6","year":2003},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.953633Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:5d4a67db1a2d3fb0eb2e85870f9f30d5fd24f563fe0b8315b65f5e2bc106180a","observation_id":"12823345-7570-4e00-b020-4975f0f5132f","resolution":{"observed_at":"2026-08-08T17:52:57.308805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.289448Z","title":null,"venue":null,"work_id":"75a35bbe-c1e4-40c3-86f9-6e3ec38fe0d6","year":2008},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.958087Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:812c446bce32698bd42ace2d337292d51a32a6ef8c1b36e15078b9a3fa77d4b2","observation_id":"fa310bd0-5724-49e8-a497-ee354fdbbe6d","resolution":{"observed_at":"2026-08-08T17:52:57.293659Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.275751Z","title":"Bebis and M","venue":null,"work_id":"5a95852d-b8eb-475b-a3e8-e374bc765e76","year":1994},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.962433Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:ad16eec51d9c9f377585dbb7ad9726196e27e6b73d81baedae2e52a85b285c85","observation_id":"babd9fea-974f-4899-a72c-2d4e7dad3e13","resolution":{"observed_at":"2026-08-08T17:52:57.280286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.262501Z","title":null,"venue":null,"work_id":"70165c4a-5eb3-4686-b672-a2e7f8e769b5","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.967104Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:8707e98fee493a846dc8a1aca58ec691bfc5733ea465081a86c2529938586f7f","observation_id":"3d64cde6-98b2-48d2-8580-667869c3d08d","resolution":{"observed_at":"2026-08-08T17:52:57.266765Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.248675Z","title":"Vatankhah and M","venue":null,"work_id":"e94a34ce-ca6a-4ff8-be74-82561e55453a","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.971143Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:1896fdb224f8359c3864d80a908b5df5c86e47f875c1d34620d91862642d9940","observation_id":"b09d1db2-100a-4fa1-a307-49c61dd2c322","resolution":{"observed_at":"2026-08-08T17:52:57.253264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.235062Z","title":null,"venue":null,"work_id":"f8549a06-50f7-4d71-bd0c-17185d4a00cf","year":2019},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.975504Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:2ce44245edf4166125ff3e4f369afdc4f55491c083f538aa7c6d20d9f1c71a77","observation_id":"5dd37f3e-2d6f-4fe9-b40e-41db48f499a6","resolution":{"observed_at":"2026-08-08T17:52:57.239429Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.221150Z","title":null,"venue":null,"work_id":"a56e61cb-0b1f-4e48-8b6f-21a6e190ecda","year":1995},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.979692Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:f9917a0edbf06a2e2be3296d0ed4ebcc4b66ff17cbd90b904381b6e6d839afe2","observation_id":"c807f9ef-543b-4ec2-aa14-662e86699ad5","resolution":{"observed_at":"2026-08-08T17:52:57.225572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.207092Z","title":"Alsac, N","venue":null,"work_id":"5728f249-d1b0-4e7b-b4a2-35fc0d54b147","year":null},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.983824Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:b19ac9f904bad8e57883624d2f4aa29f7275f5fc7133e980e36a976cdec18a97","observation_id":"f9610f5b-d90d-4aba-aa4e-1a2a9c965800","resolution":{"observed_at":"2026-08-08T17:52:57.211519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.192949Z","title":"Yin and J","venue":null,"work_id":"993c38dd-379e-48aa-a563-17964f834f92","year":2017},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.988198Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:7871b66259c2da590b15b9b3db15f3448e0845aebd63428afca775db09d39a4a","observation_id":"738aaca0-9ec8-4831-ad8c-0469f593738b","resolution":{"observed_at":"2026-08-08T17:52:57.197315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.179040Z","title":null,"venue":null,"work_id":"68d3540f-1e15-4bb6-a0ee-415bd44c3c0f","year":2005},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.992444Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:bfe4900441c1d3d45d750004e7af68c36a2ca1f6446cca49fd95920555744035","observation_id":"edd974ff-d218-47ef-a50c-7de310144f12","resolution":{"observed_at":"2026-08-08T17:52:57.183338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.164474Z","title":"Bharadhwaj, K","venue":null,"work_id":"1917cd97-ca28-4e3c-853b-3552ce76f48b","year":2020},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.996625Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:2ba5feac03f172b2fdf82c35d97993fb0291204fd2a79c24a29aaa76fa199bc2","observation_id":"d5b51229-5283-4c51-ae78-c314ff2b2ece","resolution":{"observed_at":"2026-08-08T17:52:57.169250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.148713Z","title":"Ben Salah, P","venue":null,"work_id":"1d89a713-58a4-4f14-ae9b-dff440f2dbc2","year":2023},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:57.000866Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:d36dada05b766fba6033bb500faa7123f64b7dcc6e8b36fee9783294a1080a8b","observation_id":"330b319f-8cf2-4a8c-b6f0-7403f6747986","resolution":{"observed_at":"2026-08-08T17:52:57.153694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.134201Z","title":"Faber, D","venue":null,"work_id":"5d82ddc2-5bb9-4c9c-b1a0-4e193a77e3f0","year":2012},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:57.005094Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:d7fdf88adbbd6623f589506aff7ecc41db148f011beeb699d9e848c10f0f6de4","observation_id":"0cfc620a-4aef-424c-aed2-11bd559c2c03","resolution":{"observed_at":"2026-08-08T17:52:57.138761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.119519Z","title":"Pelić, O","venue":null,"work_id":"d13d9275-56f7-4524-a37c-4af4055cf951","year":2023},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:57.009803Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:0d7723e32ddc3b289a4156df1cdadfa9ffe68c11728d31f9f2e7552d322984e4","observation_id":"87b95c7d-dfb7-4638-83da-4da0b3441350","resolution":{"observed_at":"2026-08-08T17:52:57.124089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.103990Z","title":"Wächter and L","venue":null,"work_id":"1d0c52c0-9e55-4f5e-bc89-429e97065801","year":2006},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:57.014149Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:23938fe5024f17ff2026b1191913d5bbfad0b763ad5262a053e3d3bcc19a3a5b","observation_id":"fe401b8f-2025-4d06-8b14-4ab47d078dc6","resolution":{"observed_at":"2026-08-08T17:52:57.108796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.088823Z","title":"Version 9.12.0.2009381 (R2022a)","venue":null,"work_id":"a3fde42d-1eac-40f5-9849-77d4b2040adb","year":2022},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:57.018471Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:7e459ae48585e50cc12e51e6c6bd5cb05d2363e0505ac173659fb818f9a8c49e","observation_id":"b466bc48-4600-41db-9f12-45c2a35095df","resolution":{"observed_at":"2026-08-08T17:52:57.093624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:52:57.987141Z","title":null,"venue":null,"work_id":"d7383f8a-12c9-45aa-b06c-d65963b4b145","year":2013},"citing_paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization","version":3},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-08T17:52:56.733933Z"},"links":{"citing_paper":"/paper/2502.05833"},"observation_digest":"sha256:9367603f9da25c4c125c5f3ba1adf506a543951c0dda80301c0df6596cd7ff2b","observation_id":"c7896396-85f9-4b6f-8916-e3bf12f7e56a","resolution":{"observed_at":"2026-08-08T17:52:57.991381Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.05833","last_updated":"2025-04-17T02:51:43Z","latest_version":3,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-08T17:44:55.779747Z","submitted_at":"2025-02-09T09:49:00Z","title":"Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":1,"verified_fuzzy":34},"total_outbound_references":70},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2502.05833."}