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Paper Citation Record · LEDGER

Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.14838.

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

pith.paper-citation-record.v1
2407.14838 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:03:43.343286Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:18:10.119754Z

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 7400c0e3-0104-434e-93a1-334c44e4446d · inbound

Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy? cites this paper.

Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy? Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:43.343286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:43.343286Z digest=sha256:20cdda0529cc7d8a58f675dead66bf5c081794a5d06ac1997c9b26a0b6dfb658

Observation 256b3713-19c0-44fa-aab0-1ebb4f797ead · inbound

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection cites this paper.

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:18:10.121057Z

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.

source=pdf_text observed=2026-05-20T09:16:56.388348Z digest=sha256:7a224cbf711a28ef5d4c29c07abb25d1134e88592fcb2dbe1b586e5a8ae1c8a6