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Paper Citation Record · LEDGER

Large Language Models for Blockchain Security: A Systematic Literature Review

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.14280.

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

pith.paper-citation-record.v1
2403.14280 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.963490Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:14:04.095334Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bb59d99e-d90b-4048-864e-43c08836a429 · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:41.963490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:41.963490Z digest=sha256:c93d8211dbc78168d4641d92ba99ce04590e2a9fe6be8cddd9849048c09d8007

Observation 4bac1f80-5bc0-4993-b83e-eb3b0c83842c · inbound

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

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:25.198917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:25.198917Z digest=sha256:f550299e0ea1758eae9f27bff42e1d7de34ee7049350a02053fc102a20f1c67e

Observation 2902f726-91cb-432a-9c4b-af0287e51c6d · inbound

evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments cites this paper.

evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T13:17:43.526453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:17:43.526453Z digest=sha256:b1a8790e402f638396d98b71e2c2c4de26ac9e4ec2ba4d555814340e61cebdea

Observation 73bafdc0-d8b4-4216-b865-1f79471070d0 · inbound

Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents cites this paper.

Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T23:37:52.677037Z

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=2026-05-19T23:34:25.204830Z digest=sha256:a3d484cab88acad25833f4a0d4ba7b3745534270371bcaf1df2f768f1b174c2e

Observation ad2648c6-a865-463f-bda4-f8f0db559d27 · inbound

APT-Agent: Automated Penetration Testing using Large Language Models cites this paper.

APT-Agent: Automated Penetration Testing using Large Language Models Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:14:04.097111Z

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=2026-06-30T00:11:02.928108Z digest=sha256:4f77aa8fea3caaef28d3ee49ae5c57e7c676bf8a13118dc51103ae23f5413577