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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 7 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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=sha256:6f772535341c619f0d2b79c9d3d873f87c32943271db64125585f354b4ff5fd8

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=sha256:61c984f8d4ddadc6ff26a92b660698e370b838ac23d9f44710cd173bb8934e57

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:c3dd9deb90eeab9fd48694cc271123b750c257800b18a5663a329e2ee83af35b

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:a9756946880bcb8615beade9c791f2aa6bc14a2f847d4aba3d569a3a1d70ae26

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:beea853d917f9a3ebfc7978d6a42d6ab290f58e96d2a9d869ab5dfb26b378f4e

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=sha256:3cc3f79cead508a2089c2854dae2bf402ee342bdc0dce194e4cc4f73dc4668e4

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=sha256:92bba0494a367aca01bbad75211ef90c38f1bebd1f63ee0e7ef39a5f62edde99

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:c5a4db6dd23074bb970a3a8c064b7fd1ff92bd9ad8b2f63f7a0c837bf2450eae

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=sha256:126d3c9a26c944b306bc75bf3977a854ae9e2cec591a06ba977b954823c5cb50

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:e9a6b281c8a759747afcf01f25bedeb02c1ada0a38f6e0f37bafbd84a64b0f93

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:c175e4d1201e31bf009c4f1ca6fe7ef13779770d0ac3e8322e31440109bbceec

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=sha256:0ba9f6a23375257426319e3014592e7139f88f3def3b750121132f379b2ee6c0

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:dd2f1745ef190841f8bf2f106732a9ed2173b35a5504977e734030c7457a8ffd

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:aea27881f70ceacf65df4b6bd7a7844489f6bae46b6c57f57e953e10c02124ea

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=sha256:387fc8108d51a538fccc8d0965a7df12815a87da8df18d0bd1bedcf896ed10f3

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:e05a3a602facd5f7aa841f7c6fb0f6de1dba9ad6afdf8958c2ecd6eed3a78f2d

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=sha256:4f4cceb7f6336777575f6e1b09c31d8f46074a113bb135834f9b8bdaf0e4f4be

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=sha256:8a92182a774ff7b2f7e58186dfd81333a15dd3bfe7e101362809a84980183e67

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=sha256:0ae689b6bc6c0a816da0d597564a74495f8a24676fedca03de6dd863d5714acb

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:cd322671073e9b4bda78cae32fff4535ef96bcd5929688210576102749a07c5c

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:c1d3d87c19fa737ae60c3705c2b58ead84d501b6bb477e124a3a819ffe207a91

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=sha256:70a03160746e48d5e7995ed8fee345e95ee857b48c63ff421e4a354eeeacf62a

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=sha256:6607aa70ae7caca0a66e2d531580e00af9dd1c7030f190eb04d2b6c5dc38e938

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=sha256:3225b09cdb06d57480dbc33c367ff8bec83dfcbbb9b43098dad7dfc26ba35fa0

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=sha256:9424819a7436f59eedb7ad93913128aea64f114cafa17288581027037250b525

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=sha256:9db737583702f3fd83a62945cafeef755c65b99c0f74d57f69fe9ad8233d76fb

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=sha256:5e5c58d9377d5d838d12051d5159d89efa500e71906bb5474f050b21731b7fb4

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=sha256:60d16bb436381eeb2c96242eb77056faeddf42911f454cdfb65611258d69ed3b

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=sha256:780782edcf36b002784bb849f058981cf56cd9b047b33720bafb77176749483c

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=sha256:55d4c87e55d28e8ba85f441faf632af6174e9740c954a38943810649d036a8bd

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=sha256:0ffc4c73cc17357bad9d78a9067e23092d4d66e56b89b6b1f967b390e4d0ee09

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=sha256:89d2bece4f0f694fe7e90772756fd60a42300560bab5e312fce2d64dfb156d49

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=sha256:6748828924c73300298703747df8b43f9191643fbe55b930bec7fa4dce0f0b87

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=sha256:73fe8e9a95f0fdd1cb2f5791113a126bbcd6bf82082bc332106c3a7119fd5b44

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=sha256:9417cca2ef276041f9ecf03f686bdafef0804bf808fe0552ffbd07af03bd41bc

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=sha256:10bfa8c0dd15e8cfa0a10a4c2d25fc5937ee1d29dc5bd65cbd33eb4632435065

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=sha256:2e57d94b740956a6cd3a322960639e6b3f846a9b86e45e4cdd407803cb2e9e3a

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:fd5394b7826f893796f45f61a26d43d1d9ee21f1df5b633a4d7d0d5cf10e8c1b

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=sha256:66d13885d71f4a8036ab56fdd848f0c538fd6923c60e6b70fd3231de7e4da513

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

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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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source=pdf_text observed=2026-08-04T15:25:34.802261Z digest=sha256:3ee51a2efc5bea8620c2b0b99adefeb3b245d7432571cdcf35e0fabc914e7573

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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source=pdf_text observed=2026-08-04T15:25:34.811412Z digest=sha256:7e02e2017dec8e0cc14507d111782b3bd0e98e9c2d86591e64b38f1fd66a7094

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=sha256:802f038ba9423e4e12498e6996bc428aeb8c008d8483bcdbc57b8f04875ee7bd

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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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=sha256:0b9d6407d4505f61d46e13a3126d5d3a6005b0dd7120510a34507c3a6444bd1b

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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source=pdf_text observed=2026-08-04T15:25:34.863559Z digest=sha256:2ce3f25e582e487f2f1eeb731259f5f69011ac9c915f6038679a453c1552d166

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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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=sha256:80141d6fd01e2031a86a4323a2dd7e9e6ed4a5b7f6ecd5b501c14b87d51b29d1

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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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=sha256:0e7bb078a92d7758ce30c8ec5fc04ed22bcf017bc27fd762076759b9d419ad0c

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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source=pdf_text observed=2026-08-04T15:25:34.901497Z digest=sha256:99e772fd3c44a83d80d13e61f004e16b5acc3c53708fde89922291b2c4569f1f

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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source=pdf_text observed=2026-08-04T15:25:34.907375Z digest=sha256:22b95c88794b3b3f53cf359a99cae2c039b5ff01e39409a426822c4bd5827100

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=sha256:8bd7092a8e944a88617d7d0a660846911b2010406853856ef8affffe25d83b5d

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:f7c8a5fd2010aa9b6f79cefebc324ad33bf042c8dab25cb3a1aa0d3d29373cae

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:fb2266678f74cb95fb44bf5209b276861be8faad8ccdb21730c5a7ba089d3f66

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=sha256:1dbfb42dbe596382f4748c6d69f7dc96601eaf0f34949f938f0b6925b7533d6a

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=sha256:610b48b480bffe5f59a218825f39b35447d6f871f7d1cec4a56e4817d53bf855

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=sha256:3d76df177871097d8965f125bf4972e953b3125d8771ebdfed0fc6c33e54ffb4

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=sha256:5feffe9f935630cd015fd4147c40ac44942fc7668068b358562bc75385f694c4

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:ffad1271486eca8fd32b6e4877c759dbc9584a63fd0d2962a727890b826b2eee

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=sha256:12794818a9106680269af148615c2d35809d117abdf6ee2902102cd851eeaada

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=sha256:45c35bfd035de9d4374d6f4fc6eb87dd663c002f4e1468cfc7861a2d035e4ba0

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=sha256:1626a536dcb1eb8cbc188b00d4c303137057aea4217849deaa9cd7ff77cea04c

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

source=pdf_text observed=2026-05-09T14:37:47.087403Z digest=sha256:ee85bcc90edb458e1a99060105ac96a75ef6039326c6cd6e177750f16d9e5471

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

source=pdf_text observed=2026-07-01T00:12:15.847337Z digest=sha256:b692f85a3ea13fab56db72ed9cc6d2b9dd3589a3e357434e8e3c6c8475937230