Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.833542Z digest=sha256:af37afc7f100f843ef0dd098ea2148c415a47ffba3a06e34b6d39791e859f878

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.853825Z digest=sha256:4bad055ecf7ced6104431961717ca57de42782b6a2dd94b595f809ed095e8f29

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.857934Z digest=sha256:1cbd90ae371e7a5112f9563a5c1395a32129f30694d1f723ea5edf298c391519

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.862077Z digest=sha256:af2cc5329fc8cd37b2e61ad97006403fc6519c194bbae8a9669b1efb4f3c246e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.871354Z digest=sha256:56fb8fe701727647855f886d7771853adf9dd4fcd43b037444b01312934d38d8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.874962Z digest=sha256:464302b228e930a5bc23a7e81e8246c650f7e22c2feb0e3ae8b89209a475f740

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.878808Z digest=sha256:e0aa438a98e642edfeb136707b87e0917ffd3bbd1ac93a08f2a2394f7aced794

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.882023Z digest=sha256:ef4828f08594359ab3f91f1b3883a7e56b0559859383279c6737ec56214d2fbf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.885796Z digest=sha256:c5de42ed72a51471cab848ec3b09a826115739da422f6c0574d1da3763a09c04

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.889694Z digest=sha256:349c079c6e622fbf1dd0e008bcdb93facadaa6d75de268e91596f4d0875440a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T05:50:41.867227Z digest=sha256:0eaa78f3689c8a520125597cf8dc025f136a4653cf56cf1ab342eb20492585e9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T12:27:45.690453Z digest=sha256:6d50410ea76ecfc7440ed48b5a84c0e6419306d03d7624db8cb771718f2faa1f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T11:33:50.033400Z digest=sha256:6f1dd471afd32c6d937f9d89fd02784ba8781ab10a7d321fa565195cb8886728