Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:00:35.706131Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.26631.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:00:35.706131Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 840b054f-4b67-401a-a503-b9911eee421a · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment A tutorial on human activity recognition using body-worn inertial sensors,
Reference 1
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Observation 811a218c-b946-4a7c-9922-8f55f9902a83 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment A survey on human activity recognition using wearable sensors,
Reference 2
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Observation e0c3c64b-034e-4a0d-8170-cbe2adc43611 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Activity recognition from on-body sensors: Accuracy- power trade-off by dynamic sensor selection,
Reference 3
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Observation 40262e47-a7db-48a0-b953-e6aeff82b908 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Deep convolutional neural networks on multichannel time series for human activity recognition,
Reference 4
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Observation 37924a58-5f03-43db-b213-6d5ce706e474 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition,
Reference 5
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Observation 8406d1a6-ac55-480c-b247-e7165343ddbf · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Metier: A deep multi-task learning-based activity and user recognition model using wearable sensors,
Reference 6
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Observation fbabbdf2-7caf-4bb9-a89f-f301c636b04a · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Rag-har: Retrieval augmented generation-based human activity recognition,
Reference 7
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Observation e3bd38b3-3853-4ce9-b444-9caa2799838a · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Large language models are zero-shot time series forecasters,
Reference 8
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Observation 39a0fd8d-d4f0-4266-89e8-1fa2e6507838 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment TimeGPT-1
Reference 9
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Observation 47ac68f9-fa12-4cf5-a1e0-f57cb29c8d97 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Time-llm: Time series forecasting by reprogramming large language models,
Reference 10
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Unavailable: canonical work link unavailable.
Observation 23047bdc-d3fa-42ce-881c-48a4ed0af195 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Sensorllm: Aligning large language models with motion sensors for human activity recognition,
Reference 11
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Observation 4f263870-9e37-49aa-b736-06909feb8f0f · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Llm4har: Generalizable on-device human activity recognition with pretrained llms,
Reference 12
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Unavailable: canonical work link unavailable.
Observation 4ac4cdf1-aa32-4f1b-9b09-ad590fc1e4b2 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment A personal health large language model for sleep and fitness coaching,
Reference 13
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Unavailable: canonical work link unavailable.
Observation 07e3c33d-7e17-4c51-a553-2f11f49c32cd · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Contrastive self- supervised learning for sensor-based human activity recognition,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 221dc6e3-940d-4eba-b156-ab55deb33591 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Towards llm- powered ambient sensor based multi-person human activity recognition,
Reference 15
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Observation b59ca483-fb21-4ac0-b189-c2cbee593997 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Unsupervised Human Activity Recognition through Two-stage Prompting with ChatGPT
Reference 16
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Observation 2a47cb31-daa4-4d82-8a7f-0c78f1d144a5 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Hargpt: Are llms zero-shot human activity recognizers?
Reference 17
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Observation 17d22593-af1f-46bd-b380-099b2e75312e · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Tsfel: Time series feature extraction library,
Reference 18
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Observation d461d297-b4fe-4ff8-a7eb-e9e652b531a0 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Deep triplet networks with attention for sensor-based human activity recognition,
Reference 19
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Observation 1672188e-1b88-439d-9e10-90c4d572f4be · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Adversarial deep feature extraction network for user independent human activity recognition,
Reference 20
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Unavailable: canonical work link unavailable.
Observation ce24a229-8c78-4a8e-9b34-e5bac419645a · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Alae-tae-cutmix+: Beyond the state-of-the- art for human activity recognition using wearable sensors,
Reference 21
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Observation 851b853f-b1ec-4147-b6d8-4210fe7878a2 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Investigating enhancements to contrastive predictive coding for human activity recognition,
Reference 22
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Observation f106b973-3350-4284-9ee8-74e7d4fd1a7b · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Usc-had: A daily activity dataset for ubiquitous activity recognition using wearable sensors,
Reference 23
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Observation f85e8eef-ecf8-41b9-a589-28c7e5ae92ae · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Introducing a new benchmarked dataset for activity monitoring,
Reference 24
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Unavailable: canonical work link unavailable.
Observation a41225ad-d948-47b3-b864-9d55c85187e5 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment mhealthdroid: A novel framework for agile development of mobile health applications,
Reference 25
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Unavailable: canonical work link unavailable.
Observation e254a0ee-c0c3-4eba-82f8-ae3cfd3b45d1 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Activity recognition using wearable sensors for tracking the elderly,
Reference 26
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Observation ad32ead9-c981-4ef7-aa06-595548aa8311 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Smart devices are different: Assessing and mitigating mobile sensing heterogeneities for activity recognition,
Reference 27
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Observation 39a3da11-b6c4-4ac5-a9c6-7ff912bca4bb · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Evaluating large language models as virtual annotators for time-series physical sensing data,
Reference 28
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Observation f446d6e8-e92c-4a36-9687-af8fb68b8eda · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment GPT-5 mini Model,
Reference 29
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Observation 8cdedf85-43a5-485e-b8e1-8b5a6e86472a · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Large language models meet wearable sensing: A demo of training-free har with rag-har,
Reference 30
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Observation 1f9f3bb1-8db7-4b0d-a99e-405bb989f081 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Flutter: Build apps for any screen,
Reference 31
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Observation 3ccff169-dc8e-4e8b-98b7-6d929ce118c1 · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment Milvus vector database,
Reference 32
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Observation de12d64b-aac9-4c40-90ed-82fd15b21e1e · outbound
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment A comprehensive survey on synthetic network traffic generation,
Reference 33
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No inbound Pith citation observations are available.