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Paper Citation Record · LEDGER

Large Language Models for Blockchain Security: A Systematic Literature Review

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T01:03:07.410709Z

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 519afb5c-0650-49f5-bebc-6636ac77e1b3 · inbound

Following Devils' Footprint: Towards Real-time Detection of Price Manipulation Attacks cites this paper.

Following Devils' Footprint: Towards Real-time Detection of Price Manipulation Attacks Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T01:03:07.410709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T01:03:07.410709Z digest=sha256:8ece267ca344089c87a146b1ae931df747e121c8dd16ee49454ac831823729a0

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:d631976b468c718f20ff15fcdbcdc088c053aab37e21d2b1d709bcb9155a1161

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:c24c10a9dada1f00b9286ed35f76551a7b0531e65512b5b2abcf1c5279d5dfc1

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=sha256:5c4424c7922b783cf42546681f9fc39849d123170e6f51647b31f19ead60e2bd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T23:34:25.204830Z digest=sha256:ef5ac8b7390817a8c7ad2e41089517b2b25455e7df715421f2514214dd36dedd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:11:02.928108Z digest=sha256:1bdafefce1513871a676282b6233a5a5ef7fec103e702e1dab9d86f5350fdce4