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Paper Citation Record · LEDGER

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale

As of 9 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 2 inbound Pith citation observations for arXiv:2510.13817.

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

pith.paper-citation-record.v1
2510.13817 v2

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:25:34.945685Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:12:15.847337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:15:09.185416Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved78
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af3287aa-08a4-4520-baf9-faada3fc665f · outbound

This paper cites A World of Wireless, Mobile and Multimedia Networks.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale A World of Wireless, Mobile and Multimedia Networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.567185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.567185Z digest=sha256:e48372ac24c28ed546e14e817cfbbb76783fab0cc5c8a28a9a182458a8a86019

Observation b16a53fd-fab4-4ba6-99b7-72d98c79ae26 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.572480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.572480Z digest=sha256:0a6113234ca0a7d416850fd65f9874a4aaca3047557facbf0529014eca3e77a6

Observation 827440d7-a02b-4207-a5eb-0917cb1a13d6 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.577266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.577266Z digest=sha256:5bf9f586538abe7f908e0dc9f2089d91960294c2130de4d97d6f077bf3967f50

Observation 77449ba3-cef5-43e7-8800-ca5590034d10 · outbound

This paper cites A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.581889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.581889Z digest=sha256:caa315d0b9127f0dc308753367dbb62098981415d07d437c7f200fd450353c33

Observation 3e58eeb6-c96d-431d-8daa-b1db28589129 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.587250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.587250Z digest=sha256:f96ae3604bcc7576befe43d9fd8c7c5e8a494b8eae048cd3af7e00ab17b9960d

Observation 86644370-1708-4bde-8aff-b27cc743af15 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.591970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.591970Z digest=sha256:f87fbc871dda73720fecc5dfcc8ee7a61e337303e65c0c019f63891ad3f548f3

Observation d36c7ca6-be72-4982-aef8-9c5a1ec723b5 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.597072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.597072Z digest=sha256:fbff4eeb7138ad86069342175b2d95009fb413c5ad403680ef85c215884cc192

Observation 36c16841-376c-4755-afd1-c4b5f24382c7 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.607457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.607457Z digest=sha256:96595b80280681b7f0572258a84ed28aa72c214e912f290d9eda9858dab85012

Observation 3aa4a9a8-8624-4473-9126-b928e65cdd27 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.612054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.612054Z digest=sha256:cd247310043884db4ac63baec0c413d460feb2ce4b24380aae99c4b1331866bc

Observation f7b6db61-fb25-461c-bfa6-7c4ca2055bc9 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.616600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.616600Z digest=sha256:dfac7973b7f63802660d5cbc5795ac40ef682a06ec5aebc3305a73a4700b22b5

Observation c300e3ce-edd2-4092-9ee8-a707e16b0397 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.621734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.621734Z digest=sha256:7ba07e0470eb030413a0a8d7c213b9d3f42dc3326631806650e8298392ca517d

Observation 09171f2f-8886-45a0-b902-1a29fc0ca8b9 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.626088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.626088Z digest=sha256:0f1506698c0ea6db882a754106962a5cce5e4c956f866103c9813971433b6deb

Observation 32c96e58-8d60-4838-9315-6ab0b5b29415 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.636654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.636654Z digest=sha256:2e2df12b3312e6d4ec380259872cb453d683d55ce56687e72b28ce1dc641cd7c

Observation 2982746c-9927-4131-aac6-620d164d76fa · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.640995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.640995Z digest=sha256:446fbf597a711f0ebd6cff4418ec211fff0f40a3a546ae9ad51aa45a2448454d

Observation a1786a19-6570-413d-9587-865226d221a7 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.645534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.645534Z digest=sha256:dc0166e44a9b8482ec62d952ead707e72438b37993ae04904d9e484db5e07f3c

Observation a9c25213-c8fe-4183-abc1-36386f15e8d3 · outbound

This paper cites Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.649783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.649783Z digest=sha256:94ff55a6a03739c9dc99b6bc551662db314e91aee34e04e0bf4105f34e999011

Observation 176c40a9-8fa6-4207-b62a-102e7702074c · outbound

This paper cites a stalker’s paradise.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale a stalker’s paradise

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.654335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.654335Z digest=sha256:afcb34f38ce469394804c6c3c8add65ce488b70cf4ceb71908d65b972821d969

Observation acda7607-abf9-491d-8681-d04500c0364b · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.658784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.658784Z digest=sha256:69ac5b9a73d0b6a7ac08bcdb891578317fae78d32751506eb1f9b9e736412fa9

Observation bd6cc44e-62fa-43fc-8759-4a1edc358dbd · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.663138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.663138Z digest=sha256:a9f4fed7973cb05b6086fb6d02e6f9a2a5a77c6cec1c4cc82660222e7c8cf04d

Observation aece76eb-b3ca-4982-9492-5884108dc112 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.669518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.669518Z digest=sha256:cecac9ac2f7f5fc2cc4b4af72b97cfb568c0b87e298fd137a28a965fd9e472e7

Observation c3918c4e-8e7a-4bb7-8912-96a3f7fc884a · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.674349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.674349Z digest=sha256:8daa914c81280c2ebbafcdc4c94b7cacdf787292957859ba4d3b54d3abff4607

Observation 6a885f74-5ee7-4ea2-bc98-50ab632e7709 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.679134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.679134Z digest=sha256:b348577534c10a0f0460af130d13cb2d93d6acf3df484a56396a7212c359bf38

Observation 3f2adfb1-980c-4a4c-b0a9-004525e680f6 · outbound

This paper cites Scaling Laws and Interpretability of Learning from Repeated Data.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Scaling Laws and Interpretability of Learning from Repeated Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.688225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.688225Z digest=sha256:9b497b3ccaed11d638d29fa5922ab02f412c63fcce9151e0bc4919bdde5f48a4

Observation d8c03b97-230c-41cc-bb79-f8f35e2bece5 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.693509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.693509Z digest=sha256:24c55787893eedcb46105bcf4107fabd2ebfc01479a95d58895e4719600b28ed

Observation 9c9e0bec-6af4-45e4-b6f6-49ff21195877 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.698664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.698664Z digest=sha256:808d79f09e795cf307662eb867dadaade9071d7a675eefd1035c5118611001a8

Observation bc67c0f2-a55c-41c7-9724-7dba714f06da · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.703574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.703574Z digest=sha256:054189d68964b08125aa542dee29d5ea44ad00cd838341dda652baba62943e8f

Observation 3ed1a01d-240f-4358-a14f-57c28c090920 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.713631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.713631Z digest=sha256:424a6f9d11c58ed9731892d2e62f4a8b0b6fc924ff0809dfd6955df68796867d

Observation 7c7e35a7-48d8-4772-8602-344df12a98a5 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.718232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.718232Z digest=sha256:b7b98a61c2e84e1984485ffc6f2276a522da49ce0968123b370a59fe806fc28d

Observation 1ae5e333-b45a-4eaf-846d-894454253eba · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.722658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.722658Z digest=sha256:506aac681f5a46a8e98156f03cde980a2b018f3c19a5c78412b3a1683ec51a1f

Observation e0484ea7-3e0c-409a-9f30-0270b43b0145 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.727107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.727107Z digest=sha256:21ff1b5f781e4afb1bc25667f6754d07c938a1cd41f5c24c0fc531894ae629b0

Observation c61a7981-a968-4c46-9112-d17e2f0ab963 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.732417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.732417Z digest=sha256:04fe2e605353ca1899bf2a759041e518e9c88f862fc04f08690c6221a3f0302f

Observation 3786d02b-2e10-4ec1-89b9-7a4d2ae4a64f · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.737569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.737569Z digest=sha256:e1583432090c5da5be4113bdac4e0357e60a85a32cfe0f35f723fcd2bee971a2

Observation 139d2fbf-69da-4976-a16a-f06229577e4c · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.741850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.741850Z digest=sha256:fbbf5568656b6c691f7485abcc2e797aebca388f3c21434785edd70a8083dac7

Observation 5a82331a-adb5-42e6-8d24-a3dd495d4212 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.746006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.746006Z digest=sha256:682e11a9ad491f68835da68762243b8ce2734b7ed9c896abe1c9cb4bbf30ab7f

Observation e52597b0-e2c5-46af-a761-4e3d2ea22bdd · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.756395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.756395Z digest=sha256:be498815488da684dc20727aeddce14c91f1c96bbec8e19c4f02e8405ffaa0a5

Observation 33aac5c1-ac13-427d-b295-763d9f62ed05 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.761793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.761793Z digest=sha256:7be01d2d321d3cf538b2be0a74dbced7e70f2ccbcba296bde23a9c1b6a971a1b

Observation 46e475c1-3de0-4fdc-8bd9-f6584ae27060 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Deduplicating Training Data Makes Language Models Better

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.766346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.766346Z digest=sha256:93c0f039cb0dadb2951eb4e7bd1829e43291ffb6b5f8662b8d57df9b1862b1dc

Observation 38afd1aa-aa5f-4816-9dbf-9fb32e842208 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.771408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.771408Z digest=sha256:7a4f80b470e90691cef0bc016f2b92a9a1ef991ae9cc570e6044bc95980df4fc

Observation b2738b1c-bc95-41e5-a072-5882a272e253 · outbound

This paper cites Rationalizing Neural Predictions.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Rationalizing Neural Predictions

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.776323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:25:34.776323Z digest=sha256:424cd0296617581e7c2fe572f40e6a39cad8167f6446ac3955d8c8879a9518ed

Observation 4eb078c7-4f3e-47ca-b29b-83ed5a14c89f · outbound

This paper cites Revisiting Large Language Models as Zero-shot Relation Extractors.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Revisiting Large Language Models as Zero-shot Relation Extractors

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T15:25:34.781659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a49567f-f8ce-42d3-9365-c63f1fd944af · outbound

This paper cites Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification

Reference 41

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Observation 9f6cd03b-125b-4c55-bf4e-1294f9916571 · outbound

This paper cites Efficient Representations for High-Cardinality Categorical Variables in Machine Learning.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Efficient Representations for High-Cardinality Categorical Variables in Machine Learning

Reference 42

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Observation 33d614f8-f39b-4c1a-a052-b2316bab3803 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 43

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Observation fa04cb9d-e441-44bd-a17b-7864b4943256 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 44

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Observation 46e48b51-75db-476e-ac44-56822ae9ddc5 · outbound

This paper cites TSDS: Data Selection for Task-Specific Model Finetuning.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale TSDS: Data Selection for Task-Specific Model Finetuning

Reference 45

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Observation ff354641-71e3-40f5-80a9-f55dad04aec6 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 46

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Observation 60319498-67ef-40ce-a506-151e5762cb5c · outbound

This paper cites Diver: Large Language Model Decoding with Span-Level Mutual Information Verification.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Diver: Large Language Model Decoding with Span-Level Mutual Information Verification

Reference 47

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Observation 614a4f91-7c34-466d-863e-d019127c23b7 · outbound

This paper cites 2009.Nmap network scanning: The official Nmap project guide to network discovery and security scanning.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale 2009.Nmap network scanning: The official Nmap project guide to network discovery and security scanning

Reference 48

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Observation 8c94531a-3b89-4c90-93e3-7d721cbfd65f · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-04T15:25:34.825146Z digest=sha256:e654f9cfe45f31ee35e7b93cfa1b7110af8124fa06e0cf53ab02ba13b99057cd

Observation 6ba74114-f962-4328-aeb8-7bc252f06b1b · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 50

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Observation 78ee573b-4c8e-4979-b7d5-be1fd181e63f · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 51

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Observation 1afde5c1-9d68-4ad2-9fe9-bb0ed57935f5 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 52

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Observation bee7fce0-f418-48e7-be3b-d27635e795a0 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-04T15:25:34.845252Z digest=sha256:6cb9f2018233958168c8d292612a1e8bacd6f829ab577a7bf113c6dcdfe5dd8a

Observation 019f6744-73e8-4f3a-97b1-75ff5dd7eba5 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 54

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Observation bb1dad32-4ab5-4140-8044-fb81404ca0fd · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 55

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Observation a70538c1-6c71-448b-83f3-4986403dc986 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-04T15:25:34.859425Z digest=sha256:6c5dd6aa2c756d6ca5bb3d597f4acbc360bb0b857bd383d77c812a6cba5ff73c

Observation 1784369c-8ec1-4988-83bc-e0ad062f5147 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 57

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Observation dd653221-46cc-4919-8ae5-e69ffdc5aa44 · outbound

This paper cites Entropy-Based Decoding for Retrieval-Augmented Large Language Models.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Entropy-Based Decoding for Retrieval-Augmented Large Language Models

Reference 58

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source=pdf_text observed=2026-08-04T15:25:34.867934Z digest=sha256:9c84a66d3f6ee0a178654bbc934b9ac10d851cef1f10132517e7f0c93142b78c

Observation 051d65c3-8b78-4522-bf6c-b8416ce0cd48 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 59

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Observation f7aa88c5-5a8c-4bfd-8077-1ca42b5157a1 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-04T15:25:34.876909Z digest=sha256:a1154771cf4e85fde2e91b42631b9ea071430481b35e38117b0b53fd5a1f4993

Observation 2ac92c30-24da-4822-9422-cefb32620786 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 61

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Observation e9b6f4da-24b9-4322-9ea8-225f211ec12e · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 62

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Observation 1313f2b6-5345-49c0-a2a0-8f862159ce53 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-04T15:25:34.892459Z digest=sha256:145cf292a306af2734c40aff6d741c3b43c675c62fd281365a14afe428e17ec6

Observation 1b777f5f-3357-48e2-9cc5-f0769eadf90b · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-04T15:25:34.897062Z digest=sha256:df76915723e3a7b9a7482afb88ecb21cb967e9c8dea708f8e14cd2f3892f8119

Observation 7c0810fb-e70e-48bb-9bb5-3496eaef5477 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 65

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Observation 6826968d-ef12-4afe-a700-cf5a566d796d · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 66

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Observation 75775c30-3c33-4efb-a75c-9f30504692e9 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 67

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Observation d3c7fc8f-273c-411b-ba87-56060f63838c · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-04T15:25:34.916982Z digest=sha256:e85d2e31f7629361443b7a1df63f88e0aa978ee8f1847ae3316fb5e18bc24d36

Observation 78a4aa25-e0e6-4779-9d8b-951fd159bdaf · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-04T15:25:34.927426Z digest=sha256:4c803af8cd8b9c6a6b5ed3e4d475ae5fd3e16b4ff913543f3fe854da2f43b414

Observation 7bffce5b-0ae5-46b0-9f22-dc9bfa155391 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-04T15:25:34.932050Z digest=sha256:34cbd4d30de70687cb007d4add04327ea7780f228246ac5d38a413a9933844fe

Observation 3a77be46-ca1c-4429-b12a-5d972678280b · outbound

This paper cites Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders

Reference 71

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Observation c0ddb1eb-b387-4055-9f6a-cef9ef2db4b7 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-04T15:25:34.941345Z digest=sha256:fb9890ece94b1f05bb6e8d81376a47918a0c4fe12403b77551b4d099f3a249c7

Observation 6988ecb8-4c8c-4aec-bb54-47d6b5adfe6b · outbound

This paper cites Explanation.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Explanation

Reference 73

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source=pdf_text observed=2026-08-04T15:25:34.945685Z digest=sha256:55ca435293b32ee32d6e484c410e9cae241852e772c9d495bf34135d984b7473

Observation c2b17882-2f50-401f-9e50-385b8782effc · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 2017

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source=pdf_text observed=2026-08-04T15:25:34.751632Z digest=sha256:59a674186eb33b8e0af01e4ed529119f9c4d33c6d26caf41abc7bf563644a503

Observation ec7fff1b-fc9f-4175-858d-831d33aef812 · outbound

This paper cites InProceedings of the 3rd acm conext workshop on big data, machine learning and artificial intelligence for data communication networks.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale InProceedings of the 3rd acm conext workshop on big data, machine learning and artificial intelligence for data communication networks

Reference 2019

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source=pdf_text observed=2026-08-04T15:25:34.602677Z digest=sha256:d9caa24c585741d19d3b9b95460c4fcc9bfe3e544c7b17d5d293da57db49d7ec

Observation 7b8d85d4-4125-4c49-adf8-867dc03c665d · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 2020

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source=pdf_text observed=2026-08-04T15:25:34.708700Z digest=sha256:79dd28e936406ad2a70a748efbb19c193173527891fa25a7509dfafc258faf3f

Observation 32f2e005-ba1d-4c2b-abbe-478585daf7e9 · outbound

This paper cites Rationale-Augmented Ensembles in Language Models.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Rationale-Augmented Ensembles in Language Models

Reference 2022

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source=pdf_text observed=2026-08-04T15:25:34.921858Z digest=sha256:fc8a0469898fdc151efea4697dddd9e1d2e3ebedc2ef2a30a6259671c129c806

Observation b051ea7e-dcc9-4006-b313-8c69e7860929 · outbound

This paper cites an unresolved cited work.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Unresolved cited work

Reference 2023

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source=pdf_text observed=2026-08-04T15:25:34.683707Z digest=sha256:d65cf1ec61ed892a8f988ec14d5c68bcced43ba81f674d3dc0f4ae7fe80c070b

Observation ecb79843-687b-4764-b9b8-0314d3a4a3ff · outbound

This paper cites Learning to Maximize Mutual Information for Chain-of-Thought Distillation.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Learning to Maximize Mutual Information for Chain-of-Thought Distillation

Reference 2024

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source=pdf_text observed=2026-08-04T15:25:34.631211Z digest=sha256:6ca91fdb1d176180e222be44b24f0f0bf1c76b3dbe3e8b0dcf51e70bc0f3098a

Pith citing papers

Observation 67ecd135-b491-47f5-ba9b-d2e81d22f194 · inbound

Learning Behavioral Signals from Encrypted Smartphone Network Traffic cites this paper.

Learning Behavioral Signals from Encrypted Smartphone Network Traffic What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale

Reference 41

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arxiv_id, observed 2026-07-09T02:20:28.227131Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T14:37:47.087403Z digest=sha256:8dcdc87cad8a067381d9b558bff92a0dba1e60f9f9c4efbd72ebdcede8c676a8

Observation e6a8a58a-e3a2-4d3d-a8d2-033822476695 · inbound

Learning Behavioral Signals from Encrypted Smartphone Network Traffic cites this paper.

Learning Behavioral Signals from Encrypted Smartphone Network Traffic What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:20:28.227131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T00:12:15.847337Z digest=sha256:3a84485b92f0f70de4caac3f697292a74fe024451974f7c0834b357e858def13