Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stiffness: A New Perspective on Generalization in Neural Networks
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.09491.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:24.984953Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:19:44.442851Z
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 d8dc7f48-c7f0-4a36-9354-f562eeec831b · inbound
Knowledge Consistency between Neural Networks and Beyond cites this paper.
Knowledge Consistency between Neural Networks and Beyond Stiffness: A New Perspective on Generalization in Neural Networks
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:15:02.305944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 797ddb49-aaa1-46bf-950a-7c3592a72015 · inbound
Importance Analysis for Dynamic Control of Balancing Parameter in a Simple Knowledge Distillation Setting cites this paper.
Importance Analysis for Dynamic Control of Balancing Parameter in a Simple Knowledge Distillation Setting Stiffness: A New Perspective on Generalization in Neural Networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:01:24.984953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 338faeea-8cd0-4320-9fab-e441227da25e · inbound
Channel Location Constrains the Auditability of Subliminal Learning cites this paper.
Channel Location Constrains the Auditability of Subliminal Learning Stiffness: A New Perspective on Generalization in Neural Networks
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:19:44.444109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.