Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Layer Folding: Neural Network Depth Reduction using Activation Linearization
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.09309.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:25.324358Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T16:46:15.938520Z
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 92505a6d-2183-4a9d-8225-8db444704a9b · inbound
Advanced deep architecture pruning using single filter performance cites this paper.
Advanced deep architecture pruning using single filter performance Layer Folding: Neural Network Depth Reduction using Activation Linearization
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T16:46:15.943092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f0ed66e6-fae3-48c6-b3aa-f5602b1dc0d9 · inbound
ResNets Are Deeper Than You Think cites this paper.
ResNets Are Deeper Than You Think Layer Folding: Neural Network Depth Reduction using Activation Linearization
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:57:25.324358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 511ae96d-cd05-4efc-9cca-ffbc0fc106a8 · inbound
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective cites this paper.
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective Layer Folding: Neural Network Depth Reduction using Activation Linearization
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:58:47.097757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.