Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.13733.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:54:52.108811Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:40:00.559713Z
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 3f3a22e2-6ddf-4c0d-8dc1-a910825615d8 · 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 CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:54:52.108811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e91a3fb1-e85f-40c2-b894-015a01dc9466 · inbound
$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection cites this paper.
$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:22:17.434950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4d48dab-bf4e-4f34-8bb1-4cac4dc15b9c · inbound
Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift cites this paper.
Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:40:00.561444Z
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.