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Paper Citation Record · LEDGER

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.01449.

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

pith.paper-citation-record.v1
2503.01449 v1

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:16:16.231636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:41:51.538244Z

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 843b4fae-ba21-4ec5-ab14-c11f5be1904a · inbound

Can LLMs Find Bugs in Code? An Evaluation from Beginner Errors to Security Vulnerabilities in Python and C++ cites this paper.

Can LLMs Find Bugs in Code? An Evaluation from Beginner Errors to Security Vulnerabilities in Python and C++ Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:41:51.541383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T21:41:44.146204Z digest=sha256:11e9ca01ec80b015ef3fd9d2df48dd62bc8f60e4de342bc33beacb92b2475248

Observation 8b913c0b-f581-47f1-b839-c684d318fd4e · inbound

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings cites this paper.

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T16:16:16.231636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:16:16.231636Z digest=sha256:e521b5fbab7414949fbdfac185fd6f92344c8a8a518cc87fa00f0ac70b137ced

Observation 0f812b53-6363-4344-9602-b3753c9ae2df · inbound

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? cites this paper.

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:26:43.799833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T18:24:14.848351Z digest=sha256:abb60f1ec136b57425a9547106258fa8280f57014eeaf3fea11b68215420d029