Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2508.00619.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T18:14:37.490104Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:40:00.600569Z
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 73cd5aeb-da92-40f1-b478-9f2af2b3d18c · inbound
Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training cites this paper.
Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:11:15.343212Z
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.
Observation aeef1ff3-4701-4f50-8991-f34eab2f011e · 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 DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:40:00.601980Z
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.
Observation 249ac136-8ce0-47ce-b2af-3cca0ca48111 · inbound
Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection cites this paper.
Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:14:37.490104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.