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Paper Citation Record · LEDGER

Layerwise Knowledge Extraction from Deep Convolutional Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.09000.

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

pith.paper-citation-record.v1
2003.09000 v1

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:33:45.920226Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:46:32.527255Z

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 4de6b27e-c64e-43ab-ba23-2156552120f2 · inbound

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review cites this paper.

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Layerwise Knowledge Extraction from Deep Convolutional Networks

Reference 196

Resolution
unresolved
no resolver link, observed 2026-08-10T15:33:45.920226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:33:45.920226Z digest=sha256:566825860d4363fa90102c6045bfac43b259250973682d54444850b111dfc124

Observation 8cf7f608-0438-41ef-9125-8916a7dbfd24 · inbound

Hierarchical Feature-level Reverse Propagation for Post-Training Neural Networks cites this paper.

Hierarchical Feature-level Reverse Propagation for Post-Training Neural Networks Layerwise Knowledge Extraction from Deep Convolutional Networks

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:46:32.534225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T05:46:32.391104Z digest=sha256:bbaaf12d6adf9c38d073c42550d35b200b396a1db3328bd7d7504d34e6b2241c