Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.06464.
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, observed 2026-08-07T15:19:13.520338Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T09:49:57.389275Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3bf3e245-be4c-4bf8-8af3-56de3fd64769 · inbound
RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language cites this paper.
RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:19:13.520338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62483fdb-c7c3-4703-95c6-f8932b51d0ad · inbound
SensorLM: Learning the Language of Wearable Sensors cites this paper.
SensorLM: Learning the Language of Wearable Sensors Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:04:06.338535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fc2efa7-e1fc-422b-a9e0-685b1fb5d075 · inbound
GLOSS: Group of LLMs for Open-Ended Sensemaking of Passive Sensing Data for Health and Wellbeing cites this paper.
GLOSS: Group of LLMs for Open-Ended Sensemaking of Passive Sensing Data for Health and Wellbeing Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:29:09.104517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29af7f35-a47c-40e8-9217-39e17f070cd4 · inbound
AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI cites this paper.
AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:39:55.345946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12a93494-e33d-4f02-bf86-af8b1ed8298c · inbound
SePA: A Search-enhanced Predictive Agent for Personalized Health Coaching cites this paper.
SePA: A Search-enhanced Predictive Agent for Personalized Health Coaching Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T06:01:40.348112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9407bb6b-94de-4ada-bdae-8920b60eb057 · inbound
Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data cites this paper.
Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T09:49:57.391254Z
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.