Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.07638.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:59:44.877722Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d9b5d03e-6459-4f2a-ba86-0d32d56f865c · inbound
Adapting Large Language Models for Improving TCP Fairness over WiFi cites this paper.
Adapting Large Language Models for Improving TCP Fairness over WiFi DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:59:44.877722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9f0bd99-380f-4667-914c-ac5b1519add8 · inbound
Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.
Large Language Models for Security Operations Centers: A Comprehensive Survey DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
Reference 223
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:32:21.470084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9eb0e878-d908-4ca1-9960-fbbd93793620 · inbound
CTIConnect: A Benchmark for Retrieval-Augmented LLMs over Heterogeneous Cyber Threat Intelligence cites this paper.
CTIConnect: A Benchmark for Retrieval-Augmented LLMs over Heterogeneous Cyber Threat Intelligence DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:05:28.635907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc6d1eb7-28d3-4a23-975f-e13e2f81e070 · inbound
Cardinality is Not Enough: Super Host Detection via Segmented Cardinality Estimation cites this paper.
Cardinality is Not Enough: Super Host Detection via Segmented Cardinality Estimation DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:18:21.062322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 618d657d-7c6e-4c72-b6d3-e826cd1d7028 · inbound
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models cites this paper.
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:13:58.716060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.