Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the geometry of generalization and memorization in deep neural networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.14602.
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 2026-08-08T11:11:42.744531Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T14:24:45.253594Z
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 1e71a438-b545-48fd-8569-283aa66d6b3d · inbound
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models cites this paper.
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models On the geometry of generalization and memorization in deep neural networks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:11:42.744531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 255ef25c-80e4-4cbb-a0d4-5a4a8dcec433 · inbound
Emergent Manifold Separability during Reasoning in Large Language Models cites this paper.
Emergent Manifold Separability during Reasoning in Large Language Models On the geometry of generalization and memorization in deep neural networks
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:16:35.053136Z
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 dc0731fd-1e76-4abb-a959-8da54eb9bf80 · inbound
Batch Normalization Amplifies Memorization and Privacy Risks cites this paper.
Batch Normalization Amplifies Memorization and Privacy Risks On the geometry of generalization and memorization in deep neural networks
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T14:24:45.255251Z
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.