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Paper Citation Record · LEDGER

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.05844.

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

pith.paper-citation-record.v1
2606.05844 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:01:14.407615Z

measured 25 of 25 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

25 of 25 outbound references displayed

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  • verified fuzzy0
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5897b955-116b-4711-ad79-bac381cbb993 · outbound

This paper cites {xNIDS}: Explaining deep learning-based network intrusion detection systems for active intrusion responses,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks {xNIDS}: Explaining deep learning-based network intrusion detection systems for active intrusion responses,

Reference 1

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:f3e58641b8af12e73e15c6d45dfd489843ea16d9d2c3a200772e6817e673ec90

Observation 582cec22-88e2-4b37-84cd-953ee49ece11 · outbound

This paper cites Understanding situation awareness in socs, a systematic literature review,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Understanding situation awareness in socs, a systematic literature review,

Reference 2

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:c50af6034e9eadc1026ff1b129b9b6996ed4d9fdc13a113ada11183091fb6f79

Observation 7f6c8700-b96c-418c-93fd-65963c27d851 · outbound

This paper cites Proactive threat detection in enterprise systems using wazuh: A mitre att&ck evaluation,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Proactive threat detection in enterprise systems using wazuh: A mitre att&ck evaluation,

Reference 3

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:355629dd93c641ae0f99e253ab944f055da933c85eb799b92bc3b2aa6bc89792

Observation 0a393cf6-8198-4152-951d-e54841b9d055 · outbound

This paper cites Adversarial machine learning for network intrusion detection systems: A comprehensive survey,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Adversarial machine learning for network intrusion detection systems: A comprehensive survey,

Reference 4

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:684c44814a1e151d19a03cdf4dd7aaaca5feee9ef49a66fb1eecadd81dfbe77e

Observation 14f4475a-43b9-4590-b2a0-a728678f7b20 · outbound

This paper cites Analysis of extreme learning machines (elms) for intelligent intrusion detection systems: a survey,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Analysis of extreme learning machines (elms) for intelligent intrusion detection systems: a survey,

Reference 5

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:7b4b1a371d275c6bde698c951fa421b262153cb9f7a1fa47f433b959c0ca0e31

Observation 9e6284a9-dc81-402d-ba78-85f88c1e19c3 · outbound

This paper cites Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues,

Reference 6

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:6871f765ddc6866b0a662f2c62ed478d95ccb7f82cf3dbc37a1af46db3e285c8

Observation 18d0217b-f25f-4a63-99d6-086ec57c7723 · outbound

This paper cites Multi-stage enhanced zero trust intrusion detection system for unknown attack detection in internet of things and traditional networks,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Multi-stage enhanced zero trust intrusion detection system for unknown attack detection in internet of things and traditional networks,

Reference 7

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:eeebf0d6fd17639ae8d4f24abaf87bec5946a6b536e432a867d2340093b7fb52

Observation 9bfcec40-492b-4798-ad3d-b99215700ed0 · outbound

This paper cites Toward generating a new intrusion detection dataset and intrusion traffic characterization.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Toward generating a new intrusion detection dataset and intrusion traffic characterization

Reference 8

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:104b1a2d30346ee8c00fbd489ed5666dba03bc439e23a55da79523938fb25dca

Observation 9ae4b2a1-19dd-4fa1-9df6-8389337df46f · outbound

This paper cites Kdd cup 1999 data,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Kdd cup 1999 data,

Reference 9

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:33e92c52c144aa9247b5f807c609d3d4abf73d576f0d3c93ef66cc166ccb261d

Observation cd8f5e50-33a9-4cbb-a44d-7c61ced1b13c · outbound

This paper cites Nsl-kdd dataset,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Nsl-kdd dataset,

Reference 10

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:882fc80df15f2427e9fec87ee0dd25a575b4dab63970ca7311e9d945c26592dc

Observation f93672fc-e756-4b07-ba8d-b657c70c9e84 · outbound

This paper cites Def con hacking conference: Cap- ture the flag archive,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Def con hacking conference: Cap- ture the flag archive,

Reference 11

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:f362d2c7c1f6f1c0479d06f4189dcf9c81fd1d7e1e3a0523db6ba2f23ece3757

Observation fed94e58-13b9-473d-949f-7b4061dff296 · outbound

This paper cites 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network

Reference 12

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arxiv_id, observed 2026-07-02T13:46:59.378810Z

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=2026-06-28T01:01:14.407615Z digest=sha256:3822b820ad9fc1cf32f0d9106f1bd91068559263681792544924ba8e597c36ba

Observation 740eaefa-10dc-4bc8-ab3d-0895e8061770 · outbound

This paper cites A scheme for generating a dataset for anomalous activity detection in iot networks,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks A scheme for generating a dataset for anomalous activity detection in iot networks,

Reference 13

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:81bc249049df34184feec887e8f44ae171623d064448dff11a8f315551a42e56

Observation d69fd26b-9181-4c2d-a823-d45c2c623ae7 · outbound

This paper cites Design and development of a deep learning-based model for anomaly detection in iot networks,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Design and development of a deep learning-based model for anomaly detection in iot networks,

Reference 14

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:e703169ba9867c1182e1b7dc5f1fe561edda8a0d1d0c88491022b5e8c2f4b983

Observation fc3e59f6-ae80-4cad-a613-cff8c096d334 · outbound

This paper cites Machine learning based iot intrusion detection system: An mqtt case study (mqtt-iot-ids2020 dataset),.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Machine learning based iot intrusion detection system: An mqtt case study (mqtt-iot-ids2020 dataset),

Reference 15

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:a20c87777ec47e3774a6b81f111e90c77bf5ca572aaa03954a933256767675c3

Observation 52658a9a-1d85-4a38-b084-2eb5e383a8b8 · outbound

This paper cites Uav- nidd: A dynamic dataset for cybersecurity and intrusion detection in uav networks,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Uav- nidd: A dynamic dataset for cybersecurity and intrusion detection in uav networks,

Reference 16

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:2a4c049af2a2b968cd41b61ac050c02fba1c88b41edf5974bb1fd127e8573be2

Observation 169c9285-337b-41f8-9367-b2eed3a893b8 · outbound

This paper cites Evaluating intrusion detection systems: The 1998 darpa off-line intrusion detection evaluation,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Evaluating intrusion detection systems: The 1998 darpa off-line intrusion detection evaluation,

Reference 17

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:03134440ca571bdafe9a569f80a9705f3d213a4d278c5f3b6f5c72727a0055dc

Observation 815c8a50-9053-4bd1-9cf2-2c7809c505f1 · outbound

This paper cites The caida DDoS attack 2007 dataset,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks The caida DDoS attack 2007 dataset,

Reference 18

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:d48cc14e429f058ca272648d80490eb2e211b663e7df37d6df48dd0218d9bbe7

Observation f281a026-4ff7-45eb-8238-d0bbf9315de9 · outbound

This paper cites Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),

Reference 19

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Observation 17d0aad5-fd50-4d64-bf26-e19e82e2becc · outbound

This paper cites Honeycomb: creating intrusion detection signatures using honeypots,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Honeycomb: creating intrusion detection signatures using honeypots,

Reference 20

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:3e3d068e3033f5c16a111bb426627e1b48ac20e5dfe49875a5c57290e29d7366

Observation 5aba666f-5c70-4071-9eb3-c969d01bd45b · outbound

This paper cites Cmirgen: Automatic signature generation algorithm for malicious network traffic,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Cmirgen: Automatic signature generation algorithm for malicious network traffic,

Reference 21

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:8e67c56a2d90672b90499dec522bc8583a0a59fb0b2e24deb1d12cdb0b002dae

Observation b0d85199-433b-44df-8de6-e12dba8ecf4f · outbound

This paper cites Automatic nids rule generating system for detecting http-like malware communication,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Automatic nids rule generating system for detecting http-like malware communication,

Reference 22

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source=pdf_text observed=2026-06-28T01:01:14.407615Z digest=sha256:1857b9e3e60cfb8087e394e0db2a2caa93feac9c96233aef4729f70085055cb0

Observation 67286555-2053-4101-a01f-22d2584b284e · outbound

This paper cites Harnessing large language models for automated intrusion detection rule generation in cyber range,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Harnessing large language models for automated intrusion detection rule generation in cyber range,

Reference 23

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Observation 630f8563-f3f5-4129-ac6d-06798b76763a · outbound

This paper cites Hex2sign: Automatic ids signature generation from hex- adecimal data using llms,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks Hex2sign: Automatic ids signature generation from hex- adecimal data using llms,

Reference 24

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Observation 27e3bb97-6359-4389-8ef6-062604cda9ba · outbound

This paper cites A llm-based agent for the automatic generation and generalization of ids rules,.

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks A llm-based agent for the automatic generation and generalization of ids rules,

Reference 25

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Pith citing papers

No inbound Pith citation observations are available.