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Paper Citation Record · LEDGER

IoT-LM: Large Multisensory Language Models for the Internet of Things

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.09801.

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

pith.paper-citation-record.v1
2407.09801 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:57.018191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.079232Z

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 3383c48b-26e0-41fb-8998-b0bc89020e4a · 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 IoT-LM: Large Multisensory Language Models for the Internet of Things

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:57.018191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:57.018191Z digest=sha256:8dcf82dbcd5b4cd33c9f602eb9558b0e3e498df50c221f429ee78226204df39b

Observation 839e6432-904f-47ea-9f0c-6f8e475c3d28 · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications IoT-LM: Large Multisensory Language Models for the Internet of Things

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:56.789161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:56.789161Z digest=sha256:a6d0e1049db56b9ab446fdb3552c51306ac33739339f79ca1aed7b87ffa0ce24

Observation 4580cc77-1e9b-4be0-accc-81986744eac6 · inbound

DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs cites this paper.

DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs IoT-LM: Large Multisensory Language Models for the Internet of Things

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T16:22:32.956321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:22:32.956321Z digest=sha256:19996b3d3be4672669869f86f16f562e00237f08d3324fdf82450438b952cbfb

Observation 3d601755-e72e-4f62-a226-73b583280496 · inbound

Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing cites this paper.

Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing IoT-LM: Large Multisensory Language Models for the Internet of Things

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.080670Z

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=2026-06-26T09:34:00.058213Z digest=sha256:2d8cfbbe210ed87fab1718941e45c8ad4a7dba2f76478f82cf4c3e9d48127453