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Paper Citation Record · LEDGER

Multi-domain anomaly detection in a 5G network

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.12070.

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

pith.paper-citation-record.v1
2506.12070 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:00:40.748815Z

measured 20 of 20 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact8
  • verified fuzzy6
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3040b65-0c9e-418c-8fa9-c3bfeb52d885 · outbound

This paper cites Machine Learning 5G Attack Detection in Programmable Logic,.

Multi-domain anomaly detection in a 5G network Machine Learning 5G Attack Detection in Programmable Logic,

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:00:41.506501Z

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=2026-08-07T11:00:40.677043Z digest=sha256:bc0ac12b65da4660b13b7c9b0a638f4a27d1fc9c1bc255121d034e604c97d25e

Observation f0accd74-edfc-4deb-8d25-3efb8ee47477 · outbound

This paper cites Threatening the 5G core via PFCP DoS attacks: the case of blocking UA V communications,.

Multi-domain anomaly detection in a 5G network Threatening the 5G core via PFCP DoS attacks: the case of blocking UA V communications,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:41.574022Z

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=2026-08-07T11:00:40.681355Z digest=sha256:372b33a97ac43c4ac616f7fe6808ed12b1a256618602f8db612886a7a19bac21

Observation 7c20a846-0d73-4cb7-8a68-21fb29c18efc · outbound

This paper cites 5Ghoul: Unleashing Chaos on 5G Edge Devices,.

Multi-domain anomaly detection in a 5G network 5Ghoul: Unleashing Chaos on 5G Edge Devices,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:41.562613Z

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=2026-08-07T11:00:40.689162Z digest=sha256:bf35abc5707e80465236a7f580e3c807ac456892dd2a43305f685a3f8e634201

Observation a3ad04cc-a62f-4b6c-bc11-b1257984cadc · outbound

This paper cites Open Air Interface - Core Network 5G,.

Multi-domain anomaly detection in a 5G network Open Air Interface - Core Network 5G,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:41.552584Z

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=2026-08-07T11:00:40.692814Z digest=sha256:a17a874babcec23ac379e60e0ab1132a5373c6f1507bcedf030119bfd98f7b29

Observation e257f480-f62f-4e7d-983c-2a123b95d546 · outbound

This paper cites Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection,.

Multi-domain anomaly detection in a 5G network Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection,

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:00:41.421256Z

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=2026-08-07T11:00:40.696342Z digest=sha256:751f9f3d788032868896345be20c46dbf8bff8f98655bb5b108ab357cb45cfed

Observation f5bead0c-f141-4c3b-be3a-35a96a867773 · outbound

This paper cites Docker Security: A Threat Model, Attack Taxonomy and Real-Time Attack Scenario of DoS,.

Multi-domain anomaly detection in a 5G network Docker Security: A Threat Model, Attack Taxonomy and Real-Time Attack Scenario of DoS,

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:00:41.319673Z

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=2026-08-07T11:00:40.700193Z digest=sha256:b2dff6623f95b007a1bb3b779a86506317d2d37917aa1b9f16897754df7901fd

Observation 86451099-2376-4bdc-afb6-d4fea65e8586 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Multi-domain anomaly detection in a 5G network Efficient Estimation of Word Representations in Vector Space

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:40.704167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:40.704167Z digest=sha256:59a2698aa9bd72fab46b68a31cafd83a07c67467983bb367d231ec7b3e91dbfb

Observation 3885e6fa-018e-461f-829c-4bb7011864bf · outbound

This paper cites Enriching Word Vectors with Subword Information.

Multi-domain anomaly detection in a 5G network Enriching Word Vectors with Subword Information

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:40.708349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:40.708349Z digest=sha256:b03690ffa059585625f7da494a36935a28c6539f852e1dbaa7c728f0aab3c6ff

Observation 377edc39-ed97-487c-b675-f11b33e4fe86 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,.

Multi-domain anomaly detection in a 5G network BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:41.541207Z

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=2026-08-07T11:00:40.712590Z digest=sha256:75287d5e166126fa69a1ac8955248c1a58e1e9f17f5fd9925c269831ba14c4bf

Observation d7a6d0fc-bd75-4b69-a160-78fb6b1b68e6 · outbound

This paper cites Sec2graph: Network Attack Detection Based on Novelty Detection on Graph Structured Data,.

Multi-domain anomaly detection in a 5G network Sec2graph: Network Attack Detection Based on Novelty Detection on Graph Structured Data,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:41.529624Z

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=2026-08-07T11:00:40.720448Z digest=sha256:a720b6058fde7b426e54b68cb24fb89ee08f67d045db3808b25162bbd0dd593d

Observation c1496e04-f844-4051-886a-59fd5d31efd8 · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

Multi-domain anomaly detection in a 5G network Neural Message Passing for Quantum Chemistry

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:40.723961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:40.723961Z digest=sha256:c5c6e36d9d0547d5505e335e6c9e5e6c33e2d7b63cb3e1e0469ea66522e5ac26

Observation e64f9907-fb1d-43b7-bb8d-a92058187371 · outbound

This paper cites Payload-based 5G Attack Detection,.

Multi-domain anomaly detection in a 5G network Payload-based 5G Attack Detection,

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:00:41.194910Z

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=2026-08-07T11:00:40.727494Z digest=sha256:6ff86f919270c6a84aaab57864b4db2cde26a743a550779be3af2372eba841ad

Observation a333eee7-ecb4-4ed9-b468-db91e8a1e0d6 · outbound

This paper cites Machine Learning based Anomaly Detection for 5G Networks.

Multi-domain anomaly detection in a 5G network Machine Learning based Anomaly Detection for 5G Networks

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:00:41.114302Z

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=2026-08-07T11:00:40.731077Z digest=sha256:1c24a108a2a7b82cd1e3ed8b057e5aee11449577d231f16028a6ca19a19e2584

Observation b8d6c914-8e40-4e79-95e8-47f3332b0872 · outbound

This paper cites AutoGuard: A Dual Intelligence Proactive Anomaly Detection at Application-Layer in 5G Networks,.

Multi-domain anomaly detection in a 5G network AutoGuard: A Dual Intelligence Proactive Anomaly Detection at Application-Layer in 5G Networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:41.518089Z

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=2026-08-07T11:00:40.734798Z digest=sha256:5f91558d6b91fe571032134501610bec7a4df1bda3769e8c4dc5c0db7c03743b

Observation 3d755d3f-cbbc-4b79-ab6c-13003bc605c7 · outbound

This paper cites ADSeq-5GCN: Anomaly Detection from Network Traffic Sequences in 5G Core Network Control Plane,.

Multi-domain anomaly detection in a 5G network ADSeq-5GCN: Anomaly Detection from Network Traffic Sequences in 5G Core Network Control Plane,

Reference 15

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:00:41.098391Z

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=2026-08-07T11:00:40.738169Z digest=sha256:c92fc85de4f9c3597c1ba5f9d78cec62c0a2a4c1e5c879e1f6a7ed3b66327ced

Observation 0e53c40c-625f-4745-95ec-42e94d82836b · outbound

This paper cites PROV5GC: Hardening 5G Core Network Security with Attack Detection and Attribution Based on Provenance Graphs,.

Multi-domain anomaly detection in a 5G network PROV5GC: Hardening 5G Core Network Security with Attack Detection and Attribution Based on Provenance Graphs,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:40.741575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:40.741575Z digest=sha256:8f35d0e1e10c24b9e0a9b60aac8051f100298d7bf5ce9f15d84c8b470be06dcc

Observation 0c0ee211-5d7b-4e6e-8bd2-1aefeb480a8e · outbound

This paper cites Unsupervised Graph-Sequence Anomaly Detection for 5G Core Network Control Plane Traffic,.

Multi-domain anomaly detection in a 5G network Unsupervised Graph-Sequence Anomaly Detection for 5G Core Network Control Plane Traffic,

Reference 17

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:00:40.929118Z

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=2026-08-07T11:00:40.744909Z digest=sha256:1c027347d2b1875475b07ca49b5d569d9ac9f7044edfcfa8991acb849cee7b47

Observation c938ccb4-770b-46dc-a20c-998a20024450 · outbound

This paper cites 5G Core PFCP Intrusion Detection Dataset,.

Multi-domain anomaly detection in a 5G network 5G Core PFCP Intrusion Detection Dataset,

Reference 18

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:00:40.849155Z

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=2026-08-07T11:00:40.748815Z digest=sha256:d75d9c3b35ad1cb58d946e022aaad0bbbc391743e0442eeb7b4a1c30f7a53221

Observation 1332cccc-3bcd-4e6f-b3e6-4706fdf9c4ad · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Multi-domain anomaly detection in a 5G network BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:40.716281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:40.716281Z digest=sha256:f6489046c4ea9805fe138c8f532d81fe9b3e29b7c35a7348d6555c4ae6106bea

Observation 7260d3c5-0e49-47df-abc5-b6369a8f0f99 · outbound

This paper cites Available: https://jwcn-eurasipjournals.springeropen.

Multi-domain anomaly detection in a 5G network Available: https://jwcn-eurasipjournals.springeropen

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:40.685248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:40.685248Z digest=sha256:0e4f8462daa1fce00cd96e0eeb8532d0db3545fd396e3ae9992a6b9ea5d6e6a6

Pith citing papers

No inbound Pith citation observations are available.