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Paper Citation Record · LEDGER

SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.03446.

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

pith.paper-citation-record.v1
2405.03446 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:24:27.223815Z

measured 1 of 1 external citation measurements

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

4
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 4696f828-f27c-48fd-a0d7-5f0399739fc7 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:27.223815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:27.223815Z digest=sha256:4d8270b9f9c8ad4f38017be997454703115b691c88126d852f208bc960f698c1

Observation f0a9743d-324b-46dd-9305-bad0f4975483 · inbound

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting cites this paper.

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:57.638474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:57.638474Z digest=sha256:f74468c038ed5f82c7a8af64de94a18291a94ada400d19232fa9f2f2c18c2fe7

Observation c40299bf-c59a-4441-b767-f752e1eeff13 · inbound

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence cites this paper.

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:49.487614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:49.487614Z digest=sha256:750d7bedbc6d21c98b3852e57916a964343c3cec5f92e6d8af957009d1e98cc5

Observation 225894a5-7103-4677-8c99-f22e319a631f · 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 SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T10:05:28.064124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:05:28.064124Z digest=sha256:8ddec20d388dfd6a2b01ed9c1ce1357385479aa11bd08111d4427f5835139170

Observation 554c47eb-edad-4a86-9505-b760e72ac372 · inbound

Capture the Flags: Family-Based Evaluation of Agentic LLMs via Semantics-Preserving Transformations cites this paper.

Capture the Flags: Family-Based Evaluation of Agentic LLMs via Semantics-Preserving Transformations SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:27:31.457737Z

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=2026-05-16T07:26:55.823329Z digest=sha256:8b5d35515ea27b8cb01f267345e31799e876a12a02c20e1a7eb3201bb172c1c7

Observation 08dfdd8f-e2bc-4d40-a937-584ca227e980 · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:26.896949Z

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=2026-06-29T12:07:49.656453Z digest=sha256:e008246941c2b84cff89e7cf9e29a2e5a44ae9210bca064ad0aa0c6b15947e52

Observation 14ce13b8-c18f-498f-8bb1-383209355b84 · inbound

Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning cites this paper.

Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:36:24.135853Z

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=2026-06-28T14:03:41.903170Z digest=sha256:63c165f96c4cf0ae819d4d1cac1f9b9e0c49e2ee1b2e74f6bdff15e343d4070e

Observation e306780e-2a93-40b3-8709-b73bf99b9741 · inbound

Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection cites this paper.

Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T03:45:31.607985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:45:31.607985Z digest=sha256:866bae319b17aaf4a48cd5206ad1533e01acce206442e7a515589dd07a84db3e

Observation 96c80d3e-f825-4524-ac33-b764d2872f66 · inbound

Open Security Benchmark: Towards Autonomous Enterprise Cyber Defense cites this paper.

Open Security Benchmark: Towards Autonomous Enterprise Cyber Defense SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T10:23:20.860851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:23:20.860851Z digest=sha256:b8ee40ee9eedb2f9094d5d6f54a2df2ceb80dbd35b2cef9ae56a40d6ccdcc460