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Paper Citation Record · LEDGER

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.01152.

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

pith.paper-citation-record.v1
2310.01152 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:12.320695Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:52:41.060961Z

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 67c64ce5-1deb-4e30-a554-7f71e5368ce2 · inbound

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects cites this paper.

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:12.320695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:12.320695Z digest=sha256:f47a42d07a38fcfbef39f207ee2509e294386b9f20f55589084e9410b702b325

Observation 8f851637-4b1a-42cf-a4ce-e2e9cd917880 · inbound

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection cites this paper.

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:21.543764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:21.543764Z digest=sha256:5bfbf8806c86bbfd7ee33fbeb62be50fc4b179e3d967e8d86ed5c07e81d9a38f

Observation 94db8525-58c9-4faa-9dcf-ec27660da2c6 · inbound

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection cites this paper.

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:52:41.068511Z

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=2026-08-06T11:52:40.864936Z digest=sha256:7cf8f3b3e90a78551f5b158b14cd98ac3a14b38c63bc26217d471309a9e65026