Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.19262.
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 2026-08-06T19:57:53.885063Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ec5ba857-c407-45af-bfaf-2d069bc8eadb · inbound
Towards the Anonymization of the Language Modeling cites this paper.
Towards the Anonymization of the Language Modeling Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:32:39.552609Z
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.
Observation 2c3c9563-de9e-4322-b6e5-bdc6c52e5c4a · inbound
Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling cites this paper.
Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:57:53.885063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13dfc6ac-01bb-4750-9339-37065e31a75f · inbound
Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop? cites this paper.
Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop? Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T08:23:14.493354Z
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.