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Paper Citation Record · LEDGER

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research

As of 11 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 3 inbound Pith citation observations for arXiv:2502.03134.

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

pith.paper-citation-record.v1
2502.03134 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:50:41.889694Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:12:54.022470Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:54.738522Z

Reference resolution

11 of 11 outbound references displayed

  • verified exact8
  • verified fuzzy3
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef40de54-de54-4d1b-a986-b50ebcab7d52 · outbound

This paper cites Abstract In this paper, a dataset of IoT network traffic is presented.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Abstract In this paper, a dataset of IoT network traffic is presented

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-09T05:50:43.081082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.833542Z digest=sha256:8b1319541db423763666abbbdeac5a4d3fee3a6eca0a91fb538b4761c09b4530

Observation e2e1383b-3118-4fb4-a168-da76b6f8da45 · outbound

This paper cites A Comprehensive Survey for IoT Security Datasets Taxonomy, ClassificaDon and Machine Learning Mechanisms,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research A Comprehensive Survey for IoT Security Datasets Taxonomy, ClassificaDon and Machine Learning Mechanisms,

Reference 2

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T05:50:42.969955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.853825Z digest=sha256:55222aca35e75016c6c32700c107ee98b017e3fbace9db066aeeebee3434b446

Observation 267d098a-e93c-4c49-a352-34a41484754f · outbound

This paper cites A survey on intrusion detecDon system in IoT networks,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research A survey on intrusion detecDon system in IoT networks,

Reference 3

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T05:50:42.683490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.857934Z digest=sha256:4bb535d7f64e6316321a878ef7fc4a728a23fc9ef0849ceb11ffb570fd897580

Observation 20ef17c0-a359-4d31-b8b6-4475506d434b · outbound

This paper cites Advancing IoT security: A systemaDc review of machine learning approaches for the detecDon of IoT botnets,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Advancing IoT security: A systemaDc review of machine learning approaches for the detecDon of IoT botnets,

Reference 4

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T05:50:42.653771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.862077Z digest=sha256:a3238b8eed940f66edf7dee45dd22d6047b69827a49183ba323188d3a35fa627

Observation 8ef8b2c8-e086-4a94-9592-3a287ba5f851 · outbound

This paper cites Gotham testbed: a reproducible IoT testbed for security experiments and dataset generaDon,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Gotham testbed: a reproducible IoT testbed for security experiments and dataset generaDon,

Reference 5

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T05:50:42.471973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.871354Z digest=sha256:0c51d6ca832f0478620078787015d03f0734fc4ed8f7f724adec0371fedb5184

Observation ecc51a3b-62ab-4cd5-b695-b561e6569c01 · outbound

This paper cites Graphical Network Simulator 3,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Graphical Network Simulator 3,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:50:43.115916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.874962Z digest=sha256:59bee1df0e6a669073b43a300380fc2c72d0a9b4e759a0dbb4338d589bc4a928

Observation 5458a957-52a0-402a-b68a-530c028541a0 · outbound

This paper cites Leaked Mirai source code for research/IOC development purposes,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Leaked Mirai source code for research/IOC development purposes,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:50:43.104870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.878808Z digest=sha256:834161b0f41829bca31f42b42537a39896e2f3d1ba316fe28fc9abff10b51f32

Observation 7363184e-2a7e-467c-9f07-67b13de3c138 · outbound

This paper cites Merlin is a cross-platorm post-exploitaDon HTTP/2 command & control server and agent wri]en in Golang,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Merlin is a cross-platorm post-exploitaDon HTTP/2 command & control server and agent wri]en in Golang,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:50:43.093926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.882023Z digest=sha256:ce691741f328a1899dfbf93ab9748847f0240290bce13d7a22ae2d608692b4e5

Observation 1f603a19-9fe6-4676-8226-6db97d37be81 · outbound

This paper cites Edge-IIoTset: A New Comprehensive RealisDc Cyber Security Dataset of IoT and IIoT ApplicaDons for Centralized and Federated Learning,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Edge-IIoTset: A New Comprehensive RealisDc Cyber Security Dataset of IoT and IIoT ApplicaDons for Centralized and Federated Learning,

Reference 10

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T05:50:42.284468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.885796Z digest=sha256:03ca39f8c52807b61a74735fe7e6103a3177ce00782d376a29ab81a6c2fa2d70

Observation 8792b13f-1b8f-4c72-a8b3-3491c5e3515f · outbound

This paper cites Federated Deep Learning for Intrusion DetecDon in IoT Networks,.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Federated Deep Learning for Intrusion DetecDon in IoT Networks,

Reference 11

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T05:50:42.120273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.889694Z digest=sha256:faf334442472eb675b02d4e1256fa53af138017fdc8c8d09578dc078aadf4c03

Observation 27ea3590-1061-44a9-987a-d4064bd72a3a · outbound

This paper cites an unresolved cited work.

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research Unresolved cited work

Reference 2025

Resolution
verified exact
doi, observed 2026-08-09T05:50:41.920733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T05:50:41.867227Z digest=sha256:2bc49489c2c3f45938acebc30a57bbe1f9bd5de3f418c691da9fbd4890c5b2a4

Pith citing papers

Observation 859dd226-ca3f-41d6-b629-a60c2c632cde · inbound

From Data Center IoT Telemetry to Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need cites this paper.

From Data Center IoT Telemetry to Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:54.022470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:54.022470Z digest=sha256:3dfa2dd7dc4d3197fb47c6b7c12c7ec143db908d0efbafb4712b962ad35f9859

Observation d8cbdbb0-00d6-44ae-98ad-5d8194da243a · inbound

CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification cites this paper.

CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:07.915980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T12:27:45.690453Z digest=sha256:38a0302153fab756553d929c761044e8fa71560e1fdb1754bcf3edd1ef3242df

Observation cc5f98ae-43a7-49c4-87bd-0d1985893e65 · inbound

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks cites this paper.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:36:54.740019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-02T11:33:50.033400Z digest=sha256:f1dc32f3eb2a3c6acf36cc094c6e7b70e0e63f563902bc13ffaf95739a9b8e26