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Paper Citation Record · LEDGER

Evaluating AIGC Detectors on Code Content

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.05193.

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

pith.paper-citation-record.v1
2304.05193 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:39:02.521828Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 4167f825-4da5-4141-bf19-149db6b1a853 · inbound

Understanding the Ability of LLMs to Handle Character-Level Perturbation cites this paper.

Understanding the Ability of LLMs to Handle Character-Level Perturbation Evaluating AIGC Detectors on Code Content

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T09:39:02.521828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:39:02.521828Z digest=sha256:d1504e6448ea47e8cd6d2450ad8551dee8558e33372db8445cbba0c68ed2de75

Observation 501e53aa-d4f2-413e-be45-fd07222b77a1 · inbound

MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark cites this paper.

MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark Evaluating AIGC Detectors on Code Content

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-03T12:01:37.188140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:01:37.188140Z digest=sha256:01cae8c4011bab8cbbdffdfcbf6edeca9699f7e53653a5dc23a9a31a3dd09049