Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T21:44:08.299166Z
Paper Citation Record · LEDGER
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact1
- verified fuzzy32
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 92956fd0-a165-4286-9cfb-eb58f9053790 · outbound
This paper cites Current and emerging threats of homegrown terrorism: The case of the Boston bombings.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Current and emerging threats of homegrown terrorism: The case of the Boston bombings
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.470377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57d24ca5-a498-4ede-87a0-3ab072065789 · outbound
This paper cites Application of artificial intelligence in triage in emergencies and disasters: a systematic review.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Application of artificial intelligence in triage in emergencies and disasters: a systematic review
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.465985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fa5e2c64-3c08-42a5-8f82-693c688767db · outbound
This paper cites START: simple triage and rapid treatment plan.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage START: simple triage and rapid treatment plan
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.461560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f21da64-5737-45dd-a268-1f727ee0bcc4 · outbound
This paper cites Review of the requirements for effective mass casualty preparedness for trauma systems. A disaster waiting to happen?.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Review of the requirements for effective mass casualty preparedness for trauma systems. A disaster waiting to happen?
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.449931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 74ab3e1a-ec8e-4df5-87a8-e0e17ce98bc5 · outbound
This paper cites A four-limbed disaster- response robot having high mobility capabilities in extreme environ- ments.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage A four-limbed disaster- response robot having high mobility capabilities in extreme environ- ments
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.393948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ba522e48-b08b-482d-915c-f68506a6138c · outbound
This paper cites Characteristics of indoor disaster environments for small uass.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Characteristics of indoor disaster environments for small uass
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.352453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ecf37e8-aaf0-49a5-b7a3-b2178a368a60 · outbound
This paper cites Using modern hardware and software solutions for mass casualty incident management.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Using modern hardware and software solutions for mass casualty incident management
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.429483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6751b46f-ac6d-4ba6-91b1-c0e522396925 · outbound
This paper cites A unified framework for operational range estimation of mobile robots operating on a single discharge to avoid complete immobilization.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage A unified framework for operational range estimation of mobile robots operating on a single discharge to avoid complete immobilization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.339843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dc04b2f3-94b3-4637-aa0f-8f83d5917346 · outbound
This paper cites DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:31:05.414434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72f185b2-cdb2-4bd2-acce-8ddd66494004 · outbound
This paper cites Disaster response and recovery from the perspective of robotics.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Disaster response and recovery from the perspective of robotics
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.348580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 459c85ee-6459-4c53-b0ac-38c12f71ce4f · outbound
This paper cites Defining the undefinable: the black box problem in healthcare artificial intelligence.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Defining the undefinable: the black box problem in healthcare artificial intelligence
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.365427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 426c9ff7-f3a5-4fec-85cc-e92672f50f38 · outbound
This paper cites Pearl,Probabilistic reasoning in intelligent systems: networks of plausible inference.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Pearl,Probabilistic reasoning in intelligent systems: networks of plausible inference
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.380651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9033f053-e6b8-49d1-b412-c75e4c0f698c · outbound
This paper cites 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.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage 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
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.398803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 978a589b-9402-4592-9649-e0edd7ee684d · outbound
This paper cites A Bayesian model for triage decision support.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage A Bayesian model for triage decision support
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.385484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0626231-61b9-4d80-a7ce-c136b09b205f · outbound
This paper cites Prospective evaluation of a Bayesian network for detecting asthma exacerbations in a pediatric emergency department.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Prospective evaluation of a Bayesian network for detecting asthma exacerbations in a pediatric emergency department
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.441541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ac0c293-be3a-4b1d-b9f0-a028d946b71c · outbound
This paper cites Evolution and challenges in the design of computational systems for triage assistance.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Evolution and challenges in the design of computational systems for triage assistance
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.344700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f2fd3c2-2c36-4085-be55-3f3c6241493c · outbound
This paper cites Probabilistic reasoning for diagnosis prediction of Coronavirus disease based on probabilistic ontology.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Probabilistic reasoning for diagnosis prediction of Coronavirus disease based on probabilistic ontology
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.433490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5f0b65b1-f2c5-43e7-9f9a-fc7aaa810373 · outbound
This paper cites Bayesian Classification of Triage Diagnoses for the Early Detection of Epidemics.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Bayesian Classification of Triage Diagnoses for the Early Detection of Epidemics
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.420659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1101df96-765a-4e0c-8fea-1ab5ae4205a9 · outbound
This paper cites Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.330776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 186a9145-bb9d-48c9-9725-a9714329669f · outbound
This paper cites Non-contact SpO2 prediction system based on a digital camera.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Non-contact SpO2 prediction system based on a digital camera
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.369340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 74e123ea-4cc8-49a3-9910-247cd4bcd7e2 · outbound
This paper cites Assessment of non-invasive blood pressure prediction from ppg and rppg signals using deep learning.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Assessment of non-invasive blood pressure prediction from ppg and rppg signals using deep learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.425339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation db0c43b6-608f-46e1-950c-15a2b3a1ee4d · outbound
This paper cites Systematic analysis of the test design and performance of AI/ML-based medical devices approved for triage/detection/diagnosis in the USA and Japan.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Systematic analysis of the test design and performance of AI/ML-based medical devices approved for triage/detection/diagnosis in the USA and Japan
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.389803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ebd21e8c-c63c-4421-8bc3-04bbe523c549 · outbound
This paper cites Exploring the effective- ness of artificial intelligence, machine learning and deep learning in trauma triage: A systematic review and meta-analysis.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Exploring the effective- ness of artificial intelligence, machine learning and deep learning in trauma triage: A systematic review and meta-analysis
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.334780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eac2cde1-2bde-4e1a-b54b-caf225d73a08 · outbound
This paper cites Medical emergency department triage data processing using a machine-learning solution.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Medical emergency department triage data processing using a machine-learning solution
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.403695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 81471b60-1d97-4da8-9d10-d71351de95fc · outbound
This paper cites On the computational approaches for supporting triage systems.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage On the computational approaches for supporting triage systems
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.361304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 772fe390-66ea-4195-8168-b6d76de6597c · outbound
This paper cites Wearable bluetooth triage healthcare monitoring system.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Wearable bluetooth triage healthcare monitoring system
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.373339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 629e7893-3d9d-4ee0-ae62-76ca700500dc · outbound
This paper cites Development of the aerial remote triage system using drones in mass casualty scenarios: a survey of international experts.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Development of the aerial remote triage system using drones in mass casualty scenarios: a survey of international experts
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.445578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 800484a8-98c7-417c-8ef5-0e109dbac9b3 · outbound
This paper cites Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.457594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cf246382-b72e-467c-9996-f0f2c9e7fd75 · outbound
This paper cites TOMManikin® trauma manikin simulator.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage TOMManikin® trauma manikin simulator
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.453805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05f2a0db-a826-4c20-abc5-d16bcc181d5e · outbound
This paper cites GeNIe Modeler.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage GeNIe Modeler
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.407542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d09f20a-ee62-43ef-8c73-0f9352aab127 · outbound
This paper cites Exploring the performance of ROS2.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage Exploring the performance of ROS2
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.437154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b8623b0-0f5d-4f7c-8e14-80156b1d78a8 · outbound
This paper cites SMILE Engine.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage SMILE Engine
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.415528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b1b6dec1-3fb1-4304-ba2b-e706f2e9aaa4 · outbound
This paper cites SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision- theoretic models.
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision- theoretic models
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:38:08.411375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.