Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Pruning via Growing Regularization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.09243.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:17:44.034506Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:06:13.574075Z
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 18d7b047-7c38-4d8a-99c3-22bb2b1b94de · inbound
Towards Universal & Efficient Model Compression via Exponential Torque Pruning cites this paper.
Towards Universal & Efficient Model Compression via Exponential Torque Pruning Neural Pruning via Growing Regularization
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:17:44.034506Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c211104-8af5-4850-9020-9b96d11bab12 · inbound
Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space cites this paper.
Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Neural Pruning via Growing Regularization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:42:05.875145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a67217e4-a0e3-44d7-80a8-a1bd3e5dc161 · inbound
Neural Network Compression by Approximate Differential Equivalence cites this paper.
Neural Network Compression by Approximate Differential Equivalence Neural Pruning via Growing Regularization
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:06:13.575425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.