Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.10242.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:30.924737Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T02:07:33.490588Z
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 554a1aab-d4a9-4732-b58f-c68ceb5c21c6 · inbound
Membership Inference Attacks on Sequence Models cites this paper.
Membership Inference Attacks on Sequence Models Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:27:30.924737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 125ac473-0634-420a-81d4-4ca8f561fee9 · inbound
LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs cites this paper.
LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:56:57.472921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 403014c9-b9b9-47b7-a38c-6620ed20f3eb · inbound
SoK: Colluding Adversaries in Machine Learning Pipelines cites this paper.
SoK: Colluding Adversaries in Machine Learning Pipelines Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T02:07:33.492459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.