Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.04404.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:39:05.037391Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T01:42:03.619049Z
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 1a082fae-2b72-42d0-8ef8-cbebfdebd096 · inbound
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data cites this paper.
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:39:05.037391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a601274-ea06-4bf5-ad6d-7847c141dcfe · inbound
Towards Scalable Persistence-Based Topological Optimization cites this paper.
Towards Scalable Persistence-Based Topological Optimization Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:42:03.621937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.