Paper Citation Record · LEDGER

TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.08245.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.08245 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:42:37.455733Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T09:32:15.907959Z

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 2c7e01a7-8eda-48c1-b2d7-92569bab8848 · inbound

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision cites this paper.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.455733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d21907-73a0-4596-a028-b7e0f4872dff · inbound

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring cites this paper.

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:02.021897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee42dcf-77c7-4158-b793-a96bbad248e5 · inbound

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications cites this paper.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:57.664585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed1ee9b-c806-401d-85cd-dc68070bde21 · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition

Reference 133

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.911152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.