Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Evolution of the Interplay Between Input Distributions and Linear Regions in Networks
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.18725.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-13T07:04:42.727220Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T07:07:27.226923Z
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 02be7fe1-4166-4107-9d60-895a2df036c1 · inbound
Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks cites this paper.
Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks The Evolution of the Interplay Between Input Distributions and Linear Regions in Networks
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:50:40.404668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9c285b29-518d-4ded-af30-2cbc87b31531 · inbound
Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks cites this paper.
Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks The Evolution of the Interplay Between Input Distributions and Linear Regions in Networks
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:57:28.356981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f798bae3-6bbd-4a4b-9bef-9699d6720e5e · inbound
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks cites this paper.
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks The Evolution of the Interplay Between Input Distributions and Linear Regions in Networks
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:10:58.330070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 980b308d-5dd8-4ca1-9617-f32ad8787227 · inbound
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks cites this paper.
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks The Evolution of the Interplay Between Input Distributions and Linear Regions in Networks
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:07:27.230466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 46a77a01-0a99-476f-9ebf-1954e0a9173a · inbound
Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks cites this paper.
Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks The Evolution of the Interplay Between Input Distributions and Linear Regions in Networks
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:42:08.089499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.