Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:45:38.055309Z
Paper Citation Record · LEDGER
Privacy-aware IoT Fall Detection Services For Aging in Place
As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.22462.
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 2026-08-20T06:33:59.587034+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
40 of 40 outbound references displayed
- verified exact0
- verified fuzzy37
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f6091fea-8e2f-4571-811e-34faffe6dc85 · outbound
This paper cites Internet of things: A survey on enabling tech- nologies, protocols, and applications,.
Privacy-aware IoT Fall Detection Services For Aging in Place Internet of things: A survey on enabling tech- nologies, protocols, and applications,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.448834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7f171409-25d7-4b47-8161-85f4a6b3c3c5 · outbound
This paper cites Dynamic conflict resolution of iot services in smart homes,.
Privacy-aware IoT Fall Detection Services For Aging in Place Dynamic conflict resolution of iot services in smart homes,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.439874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 64994155-4ef5-49f9-b2ed-3b104d5c7003 · outbound
This paper cites Analyzing the elderly users’ adoption of smart-home services,.
Privacy-aware IoT Fall Detection Services For Aging in Place Analyzing the elderly users’ adoption of smart-home services,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.431001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1efaaabd-5fb1-46f3-adba-eb0cdcd7b98e · outbound
This paper cites Smart homes and quality of life for the elderly: a systematic review,.
Privacy-aware IoT Fall Detection Services For Aging in Place Smart homes and quality of life for the elderly: a systematic review,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.421786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b97e099b-8cfa-45c3-9d8b-b19182adabb7 · outbound
This paper cites Emerging smart home technologies to facilitate engaging with aging,.
Privacy-aware IoT Fall Detection Services For Aging in Place Emerging smart home technologies to facilitate engaging with aging,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.412411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a3a011bc-e8cc-4d62-8163-dff2c4322f2e · outbound
This paper cites Ageing and health,.
Privacy-aware IoT Fall Detection Services For Aging in Place Ageing and health,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.403013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation edb105c4-ae72-46b1-aab5-448190624bac · outbound
This paper cites A survey on recent advances in wearable fall detection systems,.
Privacy-aware IoT Fall Detection Services For Aging in Place A survey on recent advances in wearable fall detection systems,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.394130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c3e726d6-3b40-4776-9643-6f396d30630c · outbound
This paper cites “who wants to know all this stuff?!.
Privacy-aware IoT Fall Detection Services For Aging in Place “who wants to know all this stuff?!
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.385359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 20aa7903-d2d8-4197-8bd9-60aa80113a44 · outbound
This paper cites Collaborative edge-cloud computing for personalized fall detection,.
Privacy-aware IoT Fall Detection Services For Aging in Place Collaborative edge-cloud computing for personalized fall detection,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.376024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6032aa42-4406-4b23-a379-3900d1a9c88c · outbound
This paper cites Fall detection for elderly person care using convolutional neural networks,.
Privacy-aware IoT Fall Detection Services For Aging in Place Fall detection for elderly person care using convolutional neural networks,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.366747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 58efec7d-1e37-4475-a831-ba0f7676480b · outbound
This paper cites A wearable fall detection system using deep learning,.
Privacy-aware IoT Fall Detection Services For Aging in Place A wearable fall detection system using deep learning,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.357467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1f98c798-4350-42d2-91ff-07809dd16b66 · outbound
This paper cites Fall detection on a single doppler radar sensor by using convolutional neural networks,.
Privacy-aware IoT Fall Detection Services For Aging in Place Fall detection on a single doppler radar sensor by using convolutional neural networks,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.348113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f2886794-7848-4f3c-91b7-21b4bb76ea5a · outbound
This paper cites Transforming conversations with ai—a comprehensive study of chatgpt,.
Privacy-aware IoT Fall Detection Services For Aging in Place Transforming conversations with ai—a comprehensive study of chatgpt,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.338699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1f145fb3-7c8f-42bc-85f9-0845f2961753 · outbound
This paper cites Fallalld: An open dataset of human falls and activities of daily living for classical and deep learning applications,.
Privacy-aware IoT Fall Detection Services For Aging in Place Fallalld: An open dataset of human falls and activities of daily living for classical and deep learning applications,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.328800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 214c5cc7-ef3d-4c5e-a312-0fbd9d5b1885 · outbound
This paper cites Adasyn: Adaptive synthetic sampling approach for imbalanced learning,.
Privacy-aware IoT Fall Detection Services For Aging in Place Adasyn: Adaptive synthetic sampling approach for imbalanced learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.319248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 099980a7-2065-430a-a72b-73a6a9ebe44b · outbound
This paper cites Knnor: An oversampling technique for imbalanced datasets,.
Privacy-aware IoT Fall Detection Services For Aging in Place Knnor: An oversampling technique for imbalanced datasets,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.309360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ceaedaeb-3028-4582-88d3-a3799cc0f095 · outbound
This paper cites Class-balanced loss based on effective number of samples,.
Privacy-aware IoT Fall Detection Services For Aging in Place Class-balanced loss based on effective number of samples,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.300292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 576145af-749c-4f8e-b7f7-4b329dd1117f · outbound
This paper cites Tts-gan: A transformer-based time-series generative adversarial network,.
Privacy-aware IoT Fall Detection Services For Aging in Place Tts-gan: A transformer-based time-series generative adversarial network,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.290841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 79e1767f-ca64-4063-8f66-3999deb159f9 · outbound
This paper cites Deep learning based fall detection algorithms for embedded systems, smartwatches, and iot devices using accelerometers,.
Privacy-aware IoT Fall Detection Services For Aging in Place Deep learning based fall detection algorithms for embedded systems, smartwatches, and iot devices using accelerometers,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.281188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 00f22d2d-b67c-487b-834c-703119a1464c · outbound
This paper cites Fall detection with accelerometer data using residual networks adapted to multi-variate time series classi- fication,.
Privacy-aware IoT Fall Detection Services For Aging in Place Fall detection with accelerometer data using residual networks adapted to multi-variate time series classi- fication,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.270826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f11e08b0-bad1-45dc-a831-3ec3f415629f · outbound
This paper cites Inceptiontime: Finding alexnet for time series classification,.
Privacy-aware IoT Fall Detection Services For Aging in Place Inceptiontime: Finding alexnet for time series classification,
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:45:37.996814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f13a75f8-8c49-47cd-8c48-88cca8af357d · outbound
This paper cites Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction,.
Privacy-aware IoT Fall Detection Services For Aging in Place Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.255703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 34693452-9a9b-4091-8bc6-4ac04909e483 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Privacy-aware IoT Fall Detection Services For Aging in Place Adam: A Method for Stochastic Optimization
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:45:38.003139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ef7604a-7016-44e0-b2e0-a5789d4a66d0 · outbound
This paper cites An analysis on sensor locations of the human body for wearable fall detection devices: Principles and practice,.
Privacy-aware IoT Fall Detection Services For Aging in Place An analysis on sensor locations of the human body for wearable fall detection devices: Principles and practice,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.246735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3f263c12-07e8-4dff-8389-0268a545f735 · outbound
This paper cites Towards under- standing on the development of wearable fall detection: an experimental approach,.
Privacy-aware IoT Fall Detection Services For Aging in Place Towards under- standing on the development of wearable fall detection: an experimental approach,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.237806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fb22a909-bcdf-40f4-a57a-4feae8fd6720 · outbound
This paper cites Video-based human fall detection in smart homes using deep learning,.
Privacy-aware IoT Fall Detection Services For Aging in Place Video-based human fall detection in smart homes using deep learning,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.228427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1e910ddc-5e52-476e-82da-1c1878f36b2c · outbound
This paper cites Vision-based fall detection with convolutional neural networks,.
Privacy-aware IoT Fall Detection Services For Aging in Place Vision-based fall detection with convolutional neural networks,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.219284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a8f09f67-00ea-448a-8b57-f6a8e63a0bde · outbound
This paper cites Autonomous fall detection with wearable cameras by using relative entropy distance measure,.
Privacy-aware IoT Fall Detection Services For Aging in Place Autonomous fall detection with wearable cameras by using relative entropy distance measure,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.210189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 464ac860-b0b9-4b0b-9f95-125c0d6e57ce · outbound
This paper cites Range-doppler radar sensor fusion for fall detection,.
Privacy-aware IoT Fall Detection Services For Aging in Place Range-doppler radar sensor fusion for fall detection,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.200497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b341e34a-289d-43e6-a463-da8f5b8aceb2 · outbound
This paper cites Feature diversity for fall detection and human indoor activities classification using radar systems,.
Privacy-aware IoT Fall Detection Services For Aging in Place Feature diversity for fall detection and human indoor activities classification using radar systems,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.191788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8f0ecde6-d3af-4d42-b1af-220aca3eb8a7 · outbound
This paper cites Fall detection using standoff radar-based sensing and deep convolutional neural network,.
Privacy-aware IoT Fall Detection Services For Aging in Place Fall detection using standoff radar-based sensing and deep convolutional neural network,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.183061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8ff7596b-475e-4154-8d4d-066ed4572779 · outbound
This paper cites Fall detection with uwb radars and cnn-lstm architec- ture,.
Privacy-aware IoT Fall Detection Services For Aging in Place Fall detection with uwb radars and cnn-lstm architec- ture,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.174279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b294a40b-1da3-4209-b20b-c8b37e263749 · outbound
This paper cites Uwb-radar-based synchronous motion recognition using time-varying range–doppler images,.
Privacy-aware IoT Fall Detection Services For Aging in Place Uwb-radar-based synchronous motion recognition using time-varying range–doppler images,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.164094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4337fc73-817c-4e6e-b7c3-ed81f58e37c7 · outbound
This paper cites Context as a service: realizing internet of things-aware processes for the independent living of the elderly,.
Privacy-aware IoT Fall Detection Services For Aging in Place Context as a service: realizing internet of things-aware processes for the independent living of the elderly,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.154131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5b2d1a64-dc9a-43d9-941b-3ae97ba72de0 · outbound
This paper cites Fall detection using standoff radar-based sensing and deep convolutional neural network,.
Privacy-aware IoT Fall Detection Services For Aging in Place Fall detection using standoff radar-based sensing and deep convolutional neural network,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.143665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 66959895-1a63-49a2-9944-048c3028620b · outbound
This paper cites Time series classification from scratch with deep neural networks: A strong baseline,.
Privacy-aware IoT Fall Detection Services For Aging in Place Time series classification from scratch with deep neural networks: A strong baseline,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.134104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7c95f173-79d0-4f27-8aeb-31cf71c366f8 · outbound
This paper cites In-home emergency detection using an ambient ultra-wideband radar sensor and deep learning,.
Privacy-aware IoT Fall Detection Services For Aging in Place In-home emergency detection using an ambient ultra-wideband radar sensor and deep learning,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.124213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 66b68e34-8245-42a1-accc-6697aed3ef99 · outbound
This paper cites Near-fall detection in unexpected slips during over- ground locomotion with body-worn sensors among older adults,.
Privacy-aware IoT Fall Detection Services For Aging in Place Near-fall detection in unexpected slips during over- ground locomotion with body-worn sensors among older adults,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.114224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7901f3b8-0de0-440e-ac43-933019764a7d · outbound
This paper cites Data augmentation using synthetic data for time series classification with deep residual networks.
Privacy-aware IoT Fall Detection Services For Aging in Place Data augmentation using synthetic data for time series classification with deep residual networks
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:45:38.051926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3030a8eb-ccc5-41f5-b7c8-f0e860049a4b · outbound
This paper cites An empirical survey of data augmentation for time series classification with neural networks,.
Privacy-aware IoT Fall Detection Services For Aging in Place An empirical survey of data augmentation for time series classification with neural networks,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:45:38.103838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.