{"as_of":"2026-08-05T05:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f203f38778cc4aed9b6acbc5e3c795c6edff2e0e8659ba5685e133941ea9b06e","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-09T21:44:08.299166Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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/2604.21568/citation-record","integrity":"/paper/2604.21568/integrity","json":"/paper/2604.21568/citation-record.json","paper":"/paper/2604.21568"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Current and emerging threats of homegrown terrorism: The case of the Boston bombings","venue":null,"work_id":"5753e3c3-dbc9-486f-b14f-273fa4b79745","year":2013},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:2c86b22e5c0ab21a0029b267bdee3b963f160eb530b23a288f141c64e2624f07","observation_id":"92956fd0-a165-4286-9cfb-eb58f9053790","resolution":{"observed_at":"2026-05-23T15:38:08.470377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Application of artificial intelligence in triage in emergencies and disasters: a systematic review","venue":null,"work_id":"4bdbc3bb-7e95-403d-962e-0c4031deecf5","year":2024},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:046e66fed53c60a7129949515084ef0463ffbf2b54b816edc1c440bfe8c26cd7","observation_id":"57d24ca5-a498-4ede-87a0-3ab072065789","resolution":{"observed_at":"2026-05-23T15:38:08.465985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"START: simple triage and rapid treatment plan","venue":null,"work_id":"4fb465d4-6133-4e80-9ef8-b4dc49e21886","year":1994},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:04055b9453a1c055bd10aa9ab8e16be06b2ce227351b834df95dcde76353b985","observation_id":"fa5e2c64-3c08-42a5-8f82-693c688767db","resolution":{"observed_at":"2026-05-23T15:38:08.461560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Review of the requirements for effective mass casualty preparedness for trauma systems. A disaster waiting to happen?","venue":null,"work_id":"0fe28317-ac7b-46a7-a00f-9d2e2f88098e","year":2022},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:ac167db9a2cf5a513b1c2ca06d9766efe54be2474e6e2afbe9a6b2d5dacae99a","observation_id":"6f21da64-5737-45dd-a268-1f727ee0bcc4","resolution":{"observed_at":"2026-05-23T15:38:08.449931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A four-limbed disaster- response robot having high mobility capabilities in extreme environ- ments","venue":null,"work_id":"3d7a117d-5a8b-48d4-ac53-8e16ed26d6dd","year":2017},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:dde1cffae92346d7a6d3214726614ad946950b95782041daead2400603e048fd","observation_id":"74ab3e1a-ec8e-4df5-87a8-e0e17ce98bc5","resolution":{"observed_at":"2026-05-23T15:38:08.393948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Characteristics of indoor disaster environments for small uass","venue":null,"work_id":"7f87dbc3-045c-43a9-a44e-22174c693ce9","year":2014},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:a6252526bf48583aa32781d5fc4ebade417548dfd741b7b3d8271dae58464cf0","observation_id":"ba522e48-b08b-482d-915c-f68506a6138c","resolution":{"observed_at":"2026-05-23T15:38:08.352453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Using modern hardware and software solutions for mass casualty incident management","venue":null,"work_id":"4e9426ff-c8f5-4541-a477-29a88a5317eb","year":2023},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:c402b070e9a819599946c270bb5f637b2930f1a1e88947700478a7a1f2724df3","observation_id":"0ecf37e8-aaf0-49a5-b7a3-b2178a368a60","resolution":{"observed_at":"2026-05-23T15:38:08.429483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A unified framework for operational range estimation of mobile robots operating on a single discharge to avoid complete immobilization","venue":null,"work_id":"5457d033-80e0-4dae-b0ff-23b969a6778b","year":2019},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:00f4467e7b4f6f0375a27ac4958d41c5756174ff7c2f75a546de1356b0e91ae0","observation_id":"6751b46f-ac6d-4ba6-91b1-c0e522396925","resolution":{"observed_at":"2026-05-23T15:38:08.339843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17433","last_updated":"2023-09-29T17:43:41Z","snapshot_observed_at":"2026-07-06T16:25:38.571377Z","submitted_at":"2023-09-29T17:43:41Z","title":"DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems","version":1},"cited_work":{"arxiv_id":"2309.17433","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.17433","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dream: Decentralized re- inforcement learning for exploration and efficient energy management in multi-robot systems","venue":null,"work_id":"2ff53a60-7770-4d3e-b4d7-2feb82f981d9","year":2023},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"cited_paper":"/paper/2309.17433","citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:ac8c085430b427ee8b440b8666279a78832e5cba8080619094e9fbea002d96be","observation_id":"dc04b2f3-94b3-4637-aa0f-8f83d5917346","resolution":{"observed_at":"2026-05-11T14:31:05.414434Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Disaster response and recovery from the perspective of robotics","venue":null,"work_id":"5e5f478c-ddd8-4f77-a6c8-58c8b9e31249","year":2017},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:e95df7620650fd0fd7bd9b43e5f38b375ec8bd5a30b0e789d70a17900f6036f1","observation_id":"72f185b2-cdb2-4bd2-acce-8ddd66494004","resolution":{"observed_at":"2026-05-23T15:38:08.348580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Defining the undefinable: the black box problem in healthcare artificial intelligence","venue":null,"work_id":"28a076b7-28ea-4b22-9a77-787f2da303fe","year":2022},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:508f0a2ad773d24f1fdc57249474dbe635ad7cd11a7413e30fa8b91b35aa0d60","observation_id":"459c85ee-6459-4c53-b0ac-38c12f71ce4f","resolution":{"observed_at":"2026-05-23T15:38:08.365427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Pearl,Probabilistic reasoning in intelligent systems: networks of plausible inference","venue":null,"work_id":"248d706f-9f25-479d-958f-f6f5940007b2","year":2014},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:86685748cb6a5627e4216a14ade14c2cda9876dfcf71fa5f5da646b72c4e59a7","observation_id":"426c9ff7-f3a5-4fec-85cc-e92672f50f38","resolution":{"observed_at":"2026-05-23T15:38:08.380651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFR S","venue":null,"work_id":"30229e61-6329-4e35-ad18-8b89649745e8","year":null},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:05511077418b1868810ac3d02b6efac9340f38070f5a84b718f72df3bb9fa27e","observation_id":"9033f053-e6b8-49d1-b412-c75e4c0f698c","resolution":{"observed_at":"2026-05-23T15:38:08.398803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A Bayesian model for triage decision support","venue":null,"work_id":"1926489b-782f-40c3-8b8a-bb172776ead4","year":2006},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:b08260a30af36ceb37806bbbb7cb77c37995c64c462e7b3d5d54edb92f57f78e","observation_id":"978a589b-9402-4592-9649-e0edd7ee684d","resolution":{"observed_at":"2026-05-23T15:38:08.385484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Prospective evaluation of a Bayesian network for detecting asthma exacerbations in a pediatric emergency department","venue":null,"work_id":"350a6bf6-cf0b-43d9-a4e6-bddbc1fb0386","year":2006},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:288ad75735f575a7fe5b9a8d39ceda903c68d6d87c2b6e6d386511eb2ed7c9e1","observation_id":"e0626231-61b9-4d80-a7ce-c136b09b205f","resolution":{"observed_at":"2026-05-23T15:38:08.441541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Evolution and challenges in the design of computational systems for triage assistance","venue":null,"work_id":"f0f0121d-516a-44f2-9928-02684aa2e875","year":2008},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:8a1ecc27f7775ba7f2dedeeaede0d3eb31945399e5c7e621b72f0c8d3c7259e2","observation_id":"5ac0c293-be3a-4b1d-b9f0-a028d946b71c","resolution":{"observed_at":"2026-05-23T15:38:08.344700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Probabilistic reasoning for diagnosis prediction of Coronavirus disease based on probabilistic ontology","venue":null,"work_id":"318bec06-0533-4f51-b911-508b606230e7","year":2023},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:b6bc81e0c46ae91b2b4dda2895dd3292953329e76ff071fd3cb12d1f9f993823","observation_id":"4f2fd3c2-2c36-4085-be55-3f3c6241493c","resolution":{"observed_at":"2026-05-23T15:38:08.433490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Bayesian Classification of Triage Diagnoses for the Early Detection of Epidemics","venue":null,"work_id":"a8b3bc9b-e435-4732-a9c5-b211a62273fe","year":2003},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:b4dd1e6c70f45bf1f3eb55e2546feac8b2531b26ec952c22e3cdfd06ad690f5f","observation_id":"5f0b65b1-f2c5-43e7-9f9a-fc7aaa810373","resolution":{"observed_at":"2026-05-23T15:38:08.420659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks","venue":null,"work_id":"bf0604ee-db05-48f3-a93c-b2b2030f13af","year":2022},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:0c968717c13fe020cc7a57d0bd72eace95282ddc490c184822e3703f4a1318e1","observation_id":"1101df96-765a-4e0c-8fea-1ab5ae4205a9","resolution":{"observed_at":"2026-05-23T15:38:08.330776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Non-contact SpO2 prediction system based on a digital camera","venue":null,"work_id":"eaaed0b2-57d9-41dc-903e-af8dfa8972bb","year":2021},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:89bbddc11b2206a6bbf7d536caeef0acca262a71c1e57dbfec4cfbe3320587e4","observation_id":"186a9145-bb9d-48c9-9725-a9714329669f","resolution":{"observed_at":"2026-05-23T15:38:08.369340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Assessment of non-invasive blood pressure prediction from ppg and rppg signals using deep learning","venue":null,"work_id":"ba0edc7d-9223-4f74-b8fd-cbd81128d2bc","year":2021},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:92d8514442204a2ce732eff0a6136da430420040b73df9b7562a73d4a0131ee6","observation_id":"74e123ea-4cc8-49a3-9910-247cd4bcd7e2","resolution":{"observed_at":"2026-05-23T15:38:08.425339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Systematic analysis of the test design and performance of AI/ML-based medical devices approved for triage/detection/diagnosis in the USA and Japan","venue":null,"work_id":"93090b24-2ca2-4014-a558-2cab31673ce6","year":2022},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:63b07297500653b9b1a9f226d0e1131b6d2e31551d9a37258b2c4f0aa1d2a7cc","observation_id":"db0c43b6-608f-46e1-950c-15a2b3a1ee4d","resolution":{"observed_at":"2026-05-23T15:38:08.389803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Exploring the effective- ness of artificial intelligence, machine learning and deep learning in trauma triage: A systematic review and meta-analysis","venue":null,"work_id":"3ae66d58-68ff-42bb-afda-aadccfac6800","year":2023},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:9a98ef67534c5c078cac8aa6a3a0cc089894d7cd3a73cf7cd1098f725725e18d","observation_id":"ebd21e8c-c63c-4421-8bc3-04bbe523c549","resolution":{"observed_at":"2026-05-23T15:38:08.334780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Medical emergency department triage data processing using a machine-learning solution","venue":null,"work_id":"cc20f5d9-9161-4331-b43a-8ddd413acfa4","year":2023},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:0c0a60d5c6caaad700e2e04662bc7260bbef18595bf832033aa3adfa0846a042","observation_id":"eac2cde1-2bde-4e1a-b54b-caf225d73a08","resolution":{"observed_at":"2026-05-23T15:38:08.403695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"On the computational approaches for supporting triage systems","venue":null,"work_id":"c0ae5cb8-99ce-460d-862c-0d8a5ba8928d","year":2023},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:227873911eca017b68b27fc2606ea7a99c6a6f630fa60669512bcda23cea5ed2","observation_id":"81471b60-1d97-4da8-9d10-d71351de95fc","resolution":{"observed_at":"2026-05-23T15:38:08.361304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Wearable bluetooth triage healthcare monitoring system","venue":null,"work_id":"e5103226-a01b-423e-b336-7e00c9618c1b","year":2021},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:68a888a4eb9be03eba11789031c82d1e5bed334aed2e2cd17b77d1bbdda69006","observation_id":"772fe390-66ea-4195-8168-b6d76de6597c","resolution":{"observed_at":"2026-05-23T15:38:08.373339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Development of the aerial remote triage system using drones in mass casualty scenarios: a survey of international experts","venue":null,"work_id":"e792c1d3-f47e-495f-985b-276d72f3c406","year":2021},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:619d1b22d04bc096cd7f383fa6d46614942983a05853dc55819edef7c317cd72","observation_id":"629e7893-3d9d-4ee0-ae62-76ca700500dc","resolution":{"observed_at":"2026-05-23T15:38:08.445578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence","venue":null,"work_id":"82698b86-af21-431a-8f2f-ab1e648091fe","year":2023},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:36e5b62a9de7a15efdf7c2d1f2631edc184ea693eb334dfb64adcbdd33beba34","observation_id":"800484a8-98c7-417c-8ef5-0e109dbac9b3","resolution":{"observed_at":"2026-05-23T15:38:08.457594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"TOMManikin® trauma manikin simulator","venue":null,"work_id":"80e3374c-2c17-4465-8173-ccded9750457","year":2025},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:b2a43bfcc1f4b146007f48c2f4ac4e19892d75dbe14d824d37b449c53a7d03f8","observation_id":"cf246382-b72e-467c-9996-f0f2c9e7fd75","resolution":{"observed_at":"2026-05-23T15:38:08.453805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"GeNIe Modeler","venue":null,"work_id":"585de14c-1e4e-40c1-9e0f-ba8dbe5587c4","year":2022},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:6153b21aa4baf0a0b6948a0bc97579494fb767a20fa3c034d106b72cec927295","observation_id":"05f2a0db-a826-4c20-abc5-d16bcc181d5e","resolution":{"observed_at":"2026-05-23T15:38:08.407542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Exploring the performance of ROS2","venue":null,"work_id":"171d714d-8e86-4dc1-8165-b9c1763a4216","year":2016},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:1f47cf3b59444fe3a5d95524a9d15ba0f0a23ac1208b489d98d9d6ccf1a38d4d","observation_id":"5d09f20a-ee62-43ef-8c73-0f9352aab127","resolution":{"observed_at":"2026-05-23T15:38:08.437154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"SMILE Engine","venue":null,"work_id":"0568e8ba-9e99-4712-a132-8726385bc0ce","year":2022},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:d2cf2b939cbe773dee51d798b07bd29e346fdf7121317754fa34b3b16c22f36a","observation_id":"1b8623b0-0f5d-4f7c-8e14-80156b1d78a8","resolution":{"observed_at":"2026-05-23T15:38:08.415528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision- theoretic models","venue":null,"work_id":"70ec4b17-834d-4dfe-9e37-fe5be4c80133","year":1999},"citing_paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-09T21:44:08.299166Z"},"links":{"citing_paper":"/paper/2604.21568"},"observation_digest":"sha256:828535b2be93629711bbcd81f317b64d507fd94007622ee33ec6fa5f4ffde99f","observation_id":"b1b6dec1-3fb1-4304-ba2b-e706f2e9aaa4","resolution":{"observed_at":"2026-05-23T15:38:08.411375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.21568","last_updated":"2026-04-23T11:42:36Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-23T11:42:36Z","title":"A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":1,"verified_fuzzy":32},"total_outbound_references":33},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2604.21568."}