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Paper Citation Record · LEDGER

AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.16594.

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

pith.paper-citation-record.v1
2412.16594 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:54:47.550790Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:04:31.001384Z

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 b56d17bf-0820-4c14-b634-a8c9470d7210 · inbound

Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning cites this paper.

Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T06:04:31.127082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:04:23.045443Z digest=sha256:45a7105ae8e717a3fb0a5db1e270b84786ac63d0fbd4f4f41e402b2f14b40fe8

Observation 9338dc5a-b143-4bc3-821b-57e1450a2458 · inbound

CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs cites this paper.

CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:54:47.550790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:47.550790Z digest=sha256:420993e77056b45c1ccf33cbc7ec3e30567f22ba304b259042b198d90be5a1fa