Pith. sign in

Paper Citation Record · LEDGER

Slimming Neural Networks using Adaptive Connectivity Scores

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2006.12463.

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

pith.paper-citation-record.v1
2006.12463 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:14:41.745999Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:14:42.200743Z

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 79597dd2-7dd2-436b-863d-f9f9e51eca27 · inbound

Information Consistent Pruning: How to Efficiently Search for Sparse Networks? cites this paper.

Information Consistent Pruning: How to Efficiently Search for Sparse Networks? Slimming Neural Networks using Adaptive Connectivity Scores

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:14:42.207689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:14:41.745999Z digest=sha256:529cf923b0ea5aa831cfa628115331189b2072637be3c7209e0cb9c38ac975c3