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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:57.664585Z

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 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.

source=pdf_text observed=2026-08-07T14:45:57.664585Z digest=sha256:234a597405132490cd8984f9ab398a4b1280abbbfc187926f2cc4bc69c85f119

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:f3876b89bf2a69b54b11863cc330337d6044b59c7caf935e6808ae9475395da7