Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Compression-aware Training of Neural Networks using Frank-Wolfe
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.11921.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:44:07.489121Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T02:06:42.169321Z
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 48ed2c98-5c22-4a78-8e03-3655ab758e03 · inbound
prunAdag: an adaptive pruning-aware gradient method cites this paper.
prunAdag: an adaptive pruning-aware gradient method Compression-aware Training of Neural Networks using Frank-Wolfe
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:44:07.489121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79691309-029f-442b-b093-6942fd576fb8 · inbound
Compression Aware Certified Training cites this paper.
Compression Aware Certified Training Compression-aware Training of Neural Networks using Frank-Wolfe
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:07:51.344916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be3eb4ef-fc48-4eca-b8d0-4dfe075aa6de · inbound
SLORR: Simple and Efficient In-Training Low-Rank Regularization cites this paper.
SLORR: Simple and Efficient In-Training Low-Rank Regularization Compression-aware Training of Neural Networks using Frank-Wolfe
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T02:06:42.170864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.