Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:26:19.435886Z
Paper Citation Record · LEDGER
How can AI reduce fall injuries in the workplace?
As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.24507.
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 2026-08-07T06:34:17.273281+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
31 of 31 outbound references displayed
- verified exact8
- verified fuzzy11
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch6
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 157d8c94-3370-43d0-984e-35c89a37c240 · outbound
This paper cites Deaths from falls have increased much faster than any other type of injury in the past two decades.
How can AI reduce fall injuries in the workplace? Deaths from falls have increased much faster than any other type of injury in the past two decades
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:25.158427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 10e19ba1-f3b3-40dd-a743-d1c1222b738b · outbound
This paper cites It contains 15 types of falls and 19 types of Activities of Daily Living (ADLs), listed in Tables 1 and 2.
How can AI reduce fall injuries in the workplace? It contains 15 types of falls and 19 types of Activities of Daily Living (ADLs), listed in Tables 1 and 2
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:25.048659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 09b11e89-5156-44e3-b2e8-c5a4f1753344 · outbound
This paper cites an unresolved cited work.
How can AI reduce fall injuries in the workplace? Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:26:24.892622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ddd1b3a7-0532-4352-af7f-f7dcbd7d0511 · outbound
This paper cites an unresolved cited work.
How can AI reduce fall injuries in the workplace? Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:26:24.617223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6a6789dd-6e56-4460-b5dc-3af8f078cb9c · outbound
This paper cites The results below relate to the data in SisFall and analyze the performance of the approach both with respect to different ac tivities and for different subjects.
How can AI reduce fall injuries in the workplace? The results below relate to the data in SisFall and analyze the performance of the approach both with respect to different ac tivities and for different subjects
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:24.490290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9a1e1759-2784-4943-99f7-894b6624ab23 · outbound
This paper cites Figures 2 and 3 show the TNR and TPR as a function of the subjects and the activities, respectively.
How can AI reduce fall injuries in the workplace? Figures 2 and 3 show the TNR and TPR as a function of the subjects and the activities, respectively
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:24.363350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c816c23-3a30-4437-9450-bf484b6a6a47 · outbound
This paper cites The performance obtained is generally positive, on average the RMSE on the 1798 falls is about 160 𝑚𝑠.
How can AI reduce fall injuries in the workplace? The performance obtained is generally positive, on average the RMSE on the 1798 falls is about 160 𝑚𝑠
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:24.195889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3d1179bb-031e-4c15-ba39-c97167d5a8ea · outbound
This paper cites an unresolved cited work.
How can AI reduce fall injuries in the workplace? Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:26:24.079483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ce022aa6-acc2-4bf0-9547-63364ce75437 · outbound
This paper cites Latest research trends in fall detection and prevention using machine learning: A systematic review,.
How can AI reduce fall injuries in the workplace? Latest research trends in fall detection and prevention using machine learning: A systematic review,
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-07T12:26:20.135867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 00afee47-7282-4234-8496-e1959dcc82d7 · outbound
This paper cites an unresolved cited work.
How can AI reduce fall injuries in the workplace? Unresolved cited work
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-07T12:26:20.641810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 702dfd21-0407-4c52-80d7-6b1ea07de00f · outbound
This paper cites Medical Costs of Fatal and Nonfatal Falls in Older Adults,.
How can AI reduce fall injuries in the workplace? Medical Costs of Fatal and Nonfatal Falls in Older Adults,
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-07T12:26:20.443169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4b1c7dbf-f889-4a73-a011-5126a38a36ce · outbound
This paper cites Step safely: strategies for preventing and managing falls across the life-course. Geneva: World Health Organization,.
How can AI reduce fall injuries in the workplace? Step safely: strategies for preventing and managing falls across the life-course. Geneva: World Health Organization,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:23.962341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c1cdebdf-9e39-4d9d-977b-2b5758aefaf1 · outbound
This paper cites La valutazione ergonomica del rischio caduta in piano.
How can AI reduce fall injuries in the workplace? La valutazione ergonomica del rischio caduta in piano
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:23.797473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8b3b04c4-f8cd-4d1b-812c-304bc7d599dd · outbound
This paper cites Recognition of Physiological Patterns during Activities of Daily Living Using Wearable Biosignal Sensors,.
How can AI reduce fall injuries in the workplace? Recognition of Physiological Patterns during Activities of Daily Living Using Wearable Biosignal Sensors,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:23.585750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2f6e7318-d89c-4df4-932e-4a383962e5a5 · outbound
This paper cites Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks,.
How can AI reduce fall injuries in the workplace? Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks,
Reference 15
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T12:26:22.794313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cb8c29c5-a788-44ce-889e-b74951eef9cc · outbound
This paper cites A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition,.
How can AI reduce fall injuries in the workplace? A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition,
Reference 16
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T12:26:22.494758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e82b23e9-140a-483b-a0e5-58e46135bc84 · outbound
This paper cites A Survey on Recent Advances in Wearable Fall Detection Systems,.
How can AI reduce fall injuries in the workplace? A Survey on Recent Advances in Wearable Fall Detection Systems,
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-07T12:26:20.294324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b77d53df-c7a2-4ebb-82e2-2ae8fd97a2ed · outbound
This paper cites SisFall: A fall and movement dataset,.
How can AI reduce fall injuries in the workplace? SisFall: A fall and movement dataset,
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:26:19.009122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ac04a97-0757-4c5a-a104-145adab88699 · outbound
This paper cites Using the two accelerometers and one gyroscope, the orientation of the subject was calculated through a six-axis Kalman filter [20] and expressed as a quaternion.
How can AI reduce fall injuries in the workplace? Using the two accelerometers and one gyroscope, the orientation of the subject was calculated through a six-axis Kalman filter [20] and expressed as a quaternion
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:24.752526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0b0631f8-cca3-42da-b153-f399e7f76add · outbound
This paper cites Elderly fall detection with an accelerometer using lightweight neural networks,.
How can AI reduce fall injuries in the workplace? Elderly fall detection with an accelerometer using lightweight neural networks,
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-07T12:26:19.974476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1071e2bb-7952-4e2c-9948-9174ca74d56f · outbound
This paper cites Elderly Fall Detection Using Wearable Sensors: A Low Cost Highly Accurate Algorithm,.
How can AI reduce fall injuries in the workplace? Elderly Fall Detection Using Wearable Sensors: A Low Cost Highly Accurate Algorithm,
Reference 21
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T12:26:22.126336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 990c48b6-d9f9-4405-9e9d-d035e8e72e0b · outbound
This paper cites Fall Risk Reduction for the Elderly by Using Mobile Robots Based on Deep Reinforcement Learning,.
How can AI reduce fall injuries in the workplace? Fall Risk Reduction for the Elderly by Using Mobile Robots Based on Deep Reinforcement Learning,
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-07T12:26:19.797552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 471323c2-69d7-45fb-93ec-8310cf86e74d · outbound
This paper cites Falls in the elderly: Detection and assessment,.
How can AI reduce fall injuries in the workplace? Falls in the elderly: Detection and assessment,
Reference 23
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T12:26:21.670774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8fd4af8f-2dd4-436c-921a-ee66d4dee261 · outbound
This paper cites Fall-KAN: Fall impact time estimation Kolmogorov-Arnold Network,.
How can AI reduce fall injuries in the workplace? Fall-KAN: Fall impact time estimation Kolmogorov-Arnold Network,
Reference 24
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T12:26:21.355465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c0367698-510d-4f24-97d6-569e4e3915d7 · outbound
This paper cites Deep Learning-based wearable device to prevent fall from height injuries,.
How can AI reduce fall injuries in the workplace? Deep Learning-based wearable device to prevent fall from height injuries,
Reference 25
- Resolution
- verified exact
- doi, observed 2026-08-07T12:26:19.638555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3a17bc34-df3b-415f-9cde-8daa793b8603 · outbound
This paper cites Artificial intelligence-based wearable solution to prevent fall from heights injuries for the next generation of workers,.
How can AI reduce fall injuries in the workplace? Artificial intelligence-based wearable solution to prevent fall from heights injuries for the next generation of workers,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:23.343016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c066c98-cc34-4329-8ea0-78e97b08c691 · outbound
This paper cites Real-time Fall Prevention system for the Next- generation of Workers,.
How can AI reduce fall injuries in the workplace? Real-time Fall Prevention system for the Next- generation of Workers,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:26:23.041991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 922ac77e-9b4a-4dd2-8857-ba5159c5dbdf · outbound
This paper cites Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices,.
How can AI reduce fall injuries in the workplace? Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices,
Reference 28
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T12:26:21.100114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b8f6be90-c618-43dd-bce8-b8c6c3429ad1 · outbound
This paper cites Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation,.
How can AI reduce fall injuries in the workplace? Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation,
Reference 29
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T12:26:20.894089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 53151854-c2e0-43cf-8621-4b4d05752505 · outbound
This paper cites Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy,.
How can AI reduce fall injuries in the workplace? Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy,
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:26:19.324902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 883fbdd7-4839-4596-8d8a-f39bee41e56c · outbound
This paper cites Construction of the Kolmogorov-Arnold representation using the Newton-Kaczmarz method.
How can AI reduce fall injuries in the workplace? Construction of the Kolmogorov-Arnold representation using the Newton-Kaczmarz method
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:26:19.435886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.