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Paper Citation Record · LEDGER

Layer Folding: Neural Network Depth Reduction using Activation Linearization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.09309.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2106.09309 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:46:15.632102Z

measured 0 of 1 external citation measurements

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T16:46:15.632102Z digest=sha256:3c3b19b482362c9977cf71d0bf324fbf6a8b0b09c433ece9533f3685f37cdfec

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.

source=arxiv_source observed=2026-07-11T23:58:47.097757Z digest=sha256:ad7caa5db8c8916de71370c818da10ca8f42b7dc87d632980d8ff4bb0aafd445