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Paper Citation Record · LEDGER

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications

As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2505.17586.

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

pith.paper-citation-record.v1
2505.17586 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:59.930984Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:41:53.466456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:41.696743Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact5
  • verified fuzzy6
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27ec1420-f735-415a-8ffc-6f0c716447be · outbound

This paper cites Jiang et al., ”Large Language Model Enhanced Multi-Agent Systems for 6G Communications,” in IEEE Wireless Communications, vol.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Jiang et al., ”Large Language Model Enhanced Multi-Agent Systems for 6G Communications,” in IEEE Wireless Communications, vol

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T14:46:00.111075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3383c48b-26e0-41fb-8998-b0bc89020e4a · outbound

This paper cites IoT-LM: Large Multisensory Language Models for the Internet of Things.

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=sha256:2f0cfcffe9c3eeff59064bc6f8230d746a97afce96f030f54d15c42f5d9a7906

Observation 9fcd6376-2557-4c59-9fee-8c9bc6568d84 · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:04.112921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:57.174663Z digest=sha256:c4ecf4f4f036df894349f2a3c739f4bcbe363fd4d96dfc5d249bcbc2e8c40a02

Observation 169dd421-f8a2-44c9-9352-0df9780e3b79 · outbound

This paper cites The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:45:57.316153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:57.316153Z digest=sha256:ac46fe52205fe7095a582d4a05ed7b8f0f3d99ccc44db3b9a6e83f4e045a3ba5

Observation d92a9ada-d899-4639-bfef-0ffa502ff6e8 · outbound

This paper cites Nicolas, J.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Nicolas, J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:03.915888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:57.439953Z digest=sha256:1cc52d116ddb1321630f2da1162e56ffec92cd1564064446a798ce56e7a90887

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

This paper cites TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition.

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=sha256:23bbcba79aed46726af298366a0df1c35bd0e4d64cf1e64cf2f46f1156f117b1

Observation c78ffed1-25d8-4a02-b1f4-e0e048e70412 · outbound

This paper cites Efficient Prompting for LLM-based Generative Internet of Things.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Efficient Prompting for LLM-based Generative Internet of Things

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:57.778859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:57.778859Z digest=sha256:abf6f2c30a20a692a12b6a2c46dd1f85ed36cdb64cf312f81f200776b70a80de

Observation bc44d982-de2a-49fa-ad65-7d76d87f7bf2 · outbound

This paper cites LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:46:01.940602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:57.861360Z digest=sha256:9c62497896522902e5c47d8b23927b4fcc8b9b5fda1fdc034b859fc9045550e3

Observation 66532741-5523-4866-ae33-7b870a898ef4 · outbound

This paper cites Using LLMs for use case modeling of IoT systems: An experience report,.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Using LLMs for use case modeling of IoT systems: An experience report,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:03.681761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:57.966734Z digest=sha256:26e2bba272b3bc6da3e62901b659e6b0c21e73a22d3b3de3278997917535a3ab

Observation 5de460b0-8dae-43f8-946b-c6a164d1ab86 · outbound

This paper cites Integration of Large Language Models with IoT in Smart Agriculture to Improve Efficiency, Yield, and Quality,.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Integration of Large Language Models with IoT in Smart Agriculture to Improve Efficiency, Yield, and Quality,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:03.425493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:58.101562Z digest=sha256:6a72052f30633b5ea020a1567c4a1c1fb757c0cffa5e84a11765d30751c16926

Observation 6bab7d2d-2c90-4f3b-9109-abdadf462300 · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:03.210810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:58.228174Z digest=sha256:46d54aee61733721a962d3f88618705303030eba7b25b8a31d6d2d0528f63af9

Observation 6c245370-7ea9-49ea-80c4-e4bb16b9d33a · outbound

This paper cites Akbarpour, V.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Akbarpour, V

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:46:01.692184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:58.364450Z digest=sha256:1c7d7c8c7baf81735029764dd1c840c92119083211672803f52f97227fb9e2f7

Observation 8ccd2dea-1b77-4515-80b2-e9179c24f791 · outbound

This paper cites Gundogdu et al., ”Customized Impression Prediction From Radi- ology Reports Using BERT and LSTMs,” in IEEE Transactions on Artificial Intelligence, vol.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Gundogdu et al., ”Customized Impression Prediction From Radi- ology Reports Using BERT and LSTMs,” in IEEE Transactions on Artificial Intelligence, vol

Reference 13

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:46:01.349171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:58.529861Z digest=sha256:1896b6d0db5b245c8dc217c8d43f22a47e7609ba76cce4512412f3756c5653f2

Observation c1a767a5-4eea-4433-887a-dc7916d0956e · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:02.983024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:58.661111Z digest=sha256:ddbc786a8c1bc76615777c06bea73c16462c4b9e727d1965cd3270ce47091293

Observation 04c63b1b-de6f-4601-a5c6-93527a47f117 · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:02.816784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:58.825890Z digest=sha256:7805079569f39edf9d8a0b0b894e811b4a8ea72024d22fc51fd562a60398f1af

Observation 8de1b1a2-f952-44cf-8583-bef275a0d76b · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:02.642338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:58.887941Z digest=sha256:aadb8239dce1723b87168c4e1083c5f7120d03e93640e3e1ea171cc3e1d0f68a

Observation e2faec83-9d85-462e-b7c4-9a429c786980 · outbound

This paper cites Zhong et al., ”CASIT: Collective Intelligent Agent System for Internet of Things,” in IEEE Internet of Things Journal, vol.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Zhong et al., ”CASIT: Collective Intelligent Agent System for Internet of Things,” in IEEE Internet of Things Journal, vol

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:58.927722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:58.927722Z digest=sha256:d4cb86987514fda6292f5ed55559b928de5ecb459ee80225dc9d6555d6022a15

Observation 955c14ac-48f9-41ff-9c36-84f3169a77b5 · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 18

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:46:01.071063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:59.093638Z digest=sha256:ad951b66a9ca6abc48bb9430e4629581d451530d368d6dbd5d59b1dc7c2dc938

Observation 85d33225-89bb-471f-a1ac-eb78ea20009f · outbound

This paper cites IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models,.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:02.494870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:59.233173Z digest=sha256:991277d504905f9f6149c50b1a974bfdef09114f7e8e4c3f16ab956f17c40454

Observation a70a658a-cc93-492f-ba8b-06860f5b5d60 · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:59.301322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:59.301322Z digest=sha256:550a737229f2606a6c640501c0c15f42c8cb6d2bf2cba92ede177a3df2280357

Observation 8eece816-048c-43b7-9c73-081b0497517c · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 22

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:46:00.712495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:59.383357Z digest=sha256:ddfc702b59a4969508c8d1f2ac62f8d7c5d708befdaa0c34f46a5a6a62d761b3

Observation dedfdf56-34ae-4592-968c-ac8079253280 · outbound

This paper cites Alwahedi, A.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Alwahedi, A

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:02.357978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:59.473730Z digest=sha256:dcb62f6517c9bb311831305a50982701fbc2e0f7b07ceb823c4cf8bb243306f7

Observation 0f5a8d5c-5f7c-418b-9587-e9b632068d9a · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:59.535673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:59.535673Z digest=sha256:f4034f3c0f07d02691e4e88aad13708196d66b112f9ae07246880f59e41085b8

Observation 33b1fded-1366-4d36-be98-75792d2fd713 · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 25

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unresolved
no resolver link, observed 2026-08-07T14:45:59.605073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:59.605073Z digest=sha256:2a648019b5ddee46e614b1d5ced954b5e73a4902ae347d506cb6f70529c48b09

Observation 839c1ef6-3dce-4ad9-8ea2-047cf6767fcd · outbound

This paper cites Chang et al., ”A Survey on Evaluation of Large Language Models,” ACM Trans.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Chang et al., ”A Survey on Evaluation of Large Language Models,” ACM Trans

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:59.671950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:59.671950Z digest=sha256:9796bb5a901ff3791a9089ac2626f3730e496f61cd22570f92cf643426905fc9

Observation f4772148-607c-4746-99f9-5afe8a24c3f3 · outbound

This paper cites Vaswani et al., ”Attention Is All You Need,” in Advances in Neural Information Processing Systems (NeurIPS), 2017, pp.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Vaswani et al., ”Attention Is All You Need,” in Advances in Neural Information Processing Systems (NeurIPS), 2017, pp

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:02.191912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:59.746204Z digest=sha256:2b1a8da8d9299312b2873dc52ed1f016a16d1815cd8eaf4cdc2f679ff0f9aa66

Observation 184d9a40-9702-4f65-b9b3-147000dc5f11 · outbound

This paper cites Rivkin, F.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Rivkin, F

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:59.798142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:59.798142Z digest=sha256:265829db4ce5c2bcd39fab586186a7bb4616b96acc88a6c87bc0715deeb261ad

Observation 80d6d25d-68f8-4191-8a11-7f2d7d4060fd · outbound

This paper cites an unresolved cited work.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:59.858791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:59.858791Z digest=sha256:c9a5ee70333bc935041dabfe7cd44722593550e8bbcfed9ece82f6afd09257c1

Observation 2680496e-c3ac-4353-9cce-93f88706ae42 · outbound

This paper cites Semantic Communication Meets Edge Intelligence.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Semantic Communication Meets Edge Intelligence

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:46:00.240932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T14:45:59.930984Z digest=sha256:015539d4641506fb9ab431b1903d828b69a887451ef1e83e9fad0eb921c0c99b

Pith citing papers

Observation fa227686-dcdc-4bac-8eed-b18d06f9526c · inbound

Talk with the Things: Integrating LLMs into IoT Networks cites this paper.

Talk with the Things: Integrating LLMs into IoT Networks Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T14:41:53.466456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:41:53.466456Z digest=sha256:168aa924502a5a837ce4a93accebd763d06a76173f0ded8265f2bca3d4ec2e53

Observation 594d40bf-f0e0-47f7-b499-1538ac8941b8 · inbound

SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation cites this paper.

SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:41.698388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T11:21:51.750330Z digest=sha256:3c8c2a80e73df0bb5695512730c019d253074f07a171626126520608b48d41ae