Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:29.418252Z
Paper Citation Record · LEDGER
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection
As of 21 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2505.04660.
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
56 of 56 outbound references displayed
- verified exact1
- verified fuzzy35
- unresolved19
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 490d3c0d-a5fb-4033-91c6-a14c7276cc7b · outbound
This paper cites World population prospects 2022: Summary of results, 2022.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection World population prospects 2022: Summary of results, 2022
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:30.057499Z
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 db6d9dd6-131d-4581-af4c-6fb2c7e15bb2 · outbound
This paper cites Ageing and health, 2023.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Ageing and health, 2023
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:30.045961Z
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 0ec0860e-17d1-4c50-be7d-7ec2fcf95325 · outbound
This paper cites Ngu, Awatif Yasmin, Tarek Mahmud, Adnan Mahmood, and Quan Z.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Ngu, Awatif Yasmin, Tarek Mahmud, Adnan Mahmood, and Quan Z
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:30.035102Z
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 a607fac7-e17c-437b-afdb-0f5c3f151f05 · outbound
This paper cites Large language models are few-shot health learners, 2023.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Large language models are few-shot health learners, 2023
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:30.017110Z
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 9a941812-bb83-4737-bc11-c4e6adce2e6d · outbound
This paper cites Generating virtual on-body accelerometer data from virtual textual descriptions for human activity recognition, 2023.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Generating virtual on-body accelerometer data from virtual textual descriptions for human activity recognition, 2023
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:30.005866Z
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 0dd7878d-e41f-4f2e-bc96-b0aaaee009df · outbound
This paper cites Using pretrained large language model with prompt engineering to answer biomedical questions, 2024.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Using pretrained large language model with prompt engineering to answer biomedical questions, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.993383Z
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 1d2e3eaa-f033-48dc-8d32-a37ab31460ae · outbound
This paper cites Penetrative ai: Making llms comprehend the physical world, 2024.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Penetrative ai: Making llms comprehend the physical world, 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.981320Z
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 b7d9cfd5-6e79-4330-89c8-dab3bd77e1e9 · outbound
This paper cites Where would i go next? large language models as human mobility predictors, 2024.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Where would i go next? large language models as human mobility predictors, 2024
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.970039Z
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 e3e877eb-b4a9-4a32-acd7-1a010458d212 · outbound
This paper cites Synthetic sensor data for human activity recognition.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Synthetic sensor data for human activity recognition
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.957705Z
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 dfdeff27-1aea-4ad9-b58b-59331097ac04 · outbound
This paper cites Using synthetic data to improve the accuracy of human activity recognition.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Using synthetic data to improve the accuracy of human activity recognition
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.944862Z
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 a4f31672-8151-40b6-8a36-b4f335775d64 · outbound
This paper cites Sequential Models in the Synthetic Data Vault.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Sequential Models in the Synthetic Data Vault
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.265033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6f13e60-37d5-4f78-90f4-f0b327cdb399 · outbound
This paper cites A joint NICER and XMM-Newton view of the "Magnificent" thermally emitting X-ray Isolated Neutron Star RX J1605.3+3249.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection A joint NICER and XMM-Newton view of the "Magnificent" thermally emitting X-ray Isolated Neutron Star RX J1605.3+3249
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T23:44:29.575782Z
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 c1e9262c-794e-4e2a-9041-36ea04a031fb · outbound
This paper cites Modeling Tabular data using Conditional GAN.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Modeling Tabular data using Conditional GAN
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.272494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80356fa3-7f59-464d-b0e2-3c8a2da68f92 · outbound
This paper cites Creating a large-scale synthetic dataset for human activity recognition, 2020.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Creating a large-scale synthetic dataset for human activity recognition, 2020
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.933137Z
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 c020121c-52eb-4c54-a16e-fac090396999 · outbound
This paper cites Quo vadis, action recognition? a new model and the kinetics dataset, 2018.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Quo vadis, action recognition? a new model and the kinetics dataset, 2018
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.279097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51e8ceee-ae71-4d18-be2c-9dbf5c57ee87 · outbound
This paper cites Eldersim: A synthetic data generation platform for human action recognition in eldercare applications, 2020.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Eldersim: A synthetic data generation platform for human action recognition in eldercare applications, 2020
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.912876Z
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 a0410c21-8037-4e70-82f1-839a2288cea7 · outbound
This paper cites Interpretable classification of human exercise videos through pose estimation and multivariate time series analysis.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Interpretable classification of human exercise videos through pose estimation and multivariate time series analysis
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.900573Z
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 f24ec95f-3fec-4c82-a22c-211b1c00fab8 · outbound
This paper cites A comprehensive survey on human pose estimation approaches.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection A comprehensive survey on human pose estimation approaches
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.888342Z
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 1d2cfc28-3e31-46ef-a301-963ed95b4c09 · outbound
This paper cites Hsu, Alexander Y.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Hsu, Alexander Y
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.877385Z
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 02dc2042-b4f6-4992-b64a-a53e26238e50 · outbound
This paper cites Guest editorial: special issue on human pose estimation and its applications.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Guest editorial: special issue on human pose estimation and its applications
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.865449Z
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 a98965e7-7cb6-4c16-8974-7180ef44111e · outbound
This paper cites On the benefit of generative foundation models for human activity recognition, 2023.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection On the benefit of generative foundation models for human activity recognition, 2023
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.853922Z
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 b695d050-7947-413f-8080-3be531324fe6 · outbound
This paper cites GPT-4 Technical Report.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection GPT-4 Technical Report
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.301405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48c62065-b8b1-49c5-9c9f-44c206011108 · outbound
This paper cites T2m-gpt: Generating human motion from textual descriptions with discrete representations, 2023.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection T2m-gpt: Generating human motion from textual descriptions with discrete representations, 2023
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.305321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4881025-f5c4-447a-8bb1-f44321f5279d · outbound
This paper cites Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.308779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5869847a-ff21-4637-8a62-56a01149d3a5 · outbound
This paper cites Neural discrete representation learning, 2018.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Neural discrete representation learning, 2018
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.312709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8e95ff3-476f-47b8-8aa9-42d1b88e18f9 · outbound
This paper cites MoMask: Generative Masked Modeling of 3D Human Motions.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection MoMask: Generative Masked Modeling of 3D Human Motions
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.316587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f337376-ad91-4f27-9d69-fc4e9e4d395c · outbound
This paper cites Denoising diffusion probabilistic models.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Denoising diffusion probabilistic models
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.827234Z
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 d2796a7c-36e6-4629-8720-cd2a1897bb7e · outbound
This paper cites M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.323898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 858df5a9-f3f3-4252-a366-c667601f7480 · outbound
This paper cites MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.327801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d3e8b06-ec9f-4e7f-b927-02235e13d731 · outbound
This paper cites Does Synthetic Data Generation of LLMs Help Clinical Text Mining?.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.331605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b49ef9f-22eb-45cc-b3ed-0e20592776a0 · outbound
This paper cites Forward fall detection using inertial data and machine learning.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Forward fall detection using inertial data and machine learning
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.813944Z
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 9ca53a53-6c4d-4b0a-87a0-f34ad41b6aed · outbound
This paper cites SATO: Stable Text-to-Motion Framework.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection SATO: Stable Text-to-Motion Framework
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.338786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7733fe25-921c-4408-8907-ba41973f00d0 · outbound
This paper cites Parco: Part-coordinating text-to-motion synthesis, 2024.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Parco: Part-coordinating text-to-motion synthesis, 2024
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.801742Z
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 4e42db2e-04a8-4157-b0c8-b8bc4f5ddf41 · outbound
This paper cites Improving language understanding by generative pre-training.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Improving language understanding by generative pre-training
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.790917Z
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 7ee3f342-6451-4d3f-9ac9-f4005d3781aa · outbound
This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.349440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95ba2a34-a306-4060-bade-f3f03a2687bf · outbound
This paper cites Generating diverse and natural 3d human motions from text.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Generating diverse and natural 3d human motions from text
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.780249Z
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 4382d254-fe16-4d4b-b495-5a39ede96583 · outbound
This paper cites The kit motion-language dataset.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection The kit motion-language dataset
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.769655Z
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 122d5153-e193-4528-ba55-5c715cc0dc08 · outbound
This paper cites an unresolved cited work.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.360041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acb5fe0e-1c1f-43d1-b5ce-90d719b2a69c · outbound
This paper cites Gpt-4o: A multimodal model for text, vision, and audio.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Gpt-4o: A multimodal model for text, vision, and audio
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.752280Z
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 44cb9296-2b6d-4e5c-8f50-6893e837415b · outbound
This paper cites Microsoft copilot.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Microsoft copilot
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.740954Z
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 a2533984-dcb3-4577-bff6-7d3310fe1353 · outbound
This paper cites A large-scale open motion dataset (kfall) and benchmark algorithms for detecting pre-impact fall of the elderly using wearable inertial sensors.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection A large-scale open motion dataset (kfall) and benchmark algorithms for detecting pre-impact fall of the elderly using wearable inertial sensors
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.728941Z
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 69c0b8c8-aee7-49f3-aa4b-afd660c7f708 · outbound
This paper cites Santoyo-Ramón, and Jose M.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Santoyo-Ramón, and Jose M
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.717223Z
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 9c53de1c-965b-42e5-8c9e-1cec5533be56 · outbound
This paper cites Sisfall: A fall and movement dataset.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Sisfall: A fall and movement dataset
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.706279Z
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 503d27a9-ff21-4ebf-bd3d-f34e2585f674 · outbound
This paper cites Diffusion-ts: Interpretable diffusion for general time series generation, 2024.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Diffusion-ts: Interpretable diffusion for general time series generation, 2024
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.694595Z
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 d8b1a8e8-8633-430f-a8b2-2aa2fa0c3565 · outbound
This paper cites Experimental study of long short-term memory and transformer models for fall detection on smartwatches.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Experimental study of long short-term memory and transformer models for fall detection on smartwatches
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.683728Z
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 5c3cc9ed-5cee-480a-9fb2-94d58f99847c · outbound
This paper cites Long short-term memory.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Long short-term memory
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.387272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36070cb2-c83a-4e41-88da-ffac8313fa8a · outbound
This paper cites an unresolved cited work.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:44:29.666354Z
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 a35edf4b-9c14-4ca6-a52d-7caff441adf8 · outbound
This paper cites Fall detection with cnn-casual lstm network.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Fall detection with cnn-casual lstm network
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.655773Z
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 824ae663-1bd6-404a-b17f-2fe7cbd33ce3 · outbound
This paper cites Fall detection using lstm and transfer learning.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Fall detection using lstm and transfer learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.643880Z
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 d68444cd-369a-4820-a680-df145c48f41b · outbound
This paper cites Fall Detection using Knowledge Distillation Based Long short-term memory for Offline Embedded and Low Power Devices.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Fall Detection using Knowledge Distillation Based Long short-term memory for Offline Embedded and Low Power Devices
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:44:29.465638Z
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 ab7f0bee-ba0f-487d-a6f0-6bcb731ea5f3 · outbound
This paper cites Deep Learning using Rectified Linear Units (ReLU).
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Deep Learning using Rectified Linear Units (ReLU)
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.404476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e976b9fa-9201-4a78-8f3f-598dfbd4518d · outbound
This paper cites an unresolved cited work.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:44:29.632309Z
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 6256af85-8817-4fd7-ba3e-6ee40cf0b143 · outbound
This paper cites Sulla determinazione empirica di una legge di distribuzione.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Sulla determinazione empirica di una legge di distribuzione
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.621550Z
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 5d9d637f-a207-46c9-865e-aafd37156617 · outbound
This paper cites Reliable fidelity and diversity metrics for generative models, 2020.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Reliable fidelity and diversity metrics for generative models, 2020
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.609752Z
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 a38b5c30-6c10-4b26-aecd-8770dd501806 · outbound
This paper cites Endres and Johannes E.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Endres and Johannes E
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:44:29.598503Z
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 507c193a-3cf2-4c57-9998-6890dcd82917 · outbound
This paper cites an unresolved cited work.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Unresolved cited work
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.235552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.