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Paper Citation Record · LEDGER

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.12837.

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

pith.paper-citation-record.v1
2406.12837 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:00.355468Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T10:45:00.806588Z

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 e45a3911-9a0b-451f-aa44-14e8838d26ea · inbound

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation cites this paper.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:45:00.811767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:45:00.355468Z digest=sha256:721418eb18579e4ae5b200282f8f7bfc45fd01bcc8de358716de919e792d8595

Observation 3b6b2445-471d-4ec0-b307-2f0e8d18600c · inbound

Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective cites this paper.

Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging

Reference 50

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:b71c3f6d4b93a7605bec2bc797c69b927bbe7334b91e0bda460290099047233a