Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Concurrent Training and Layer Pruning of Deep Neural Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.04549.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:46:15.636668Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:19:04.394412Z
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 e3bd17e8-627a-42c4-8681-e93536080871 · inbound
Advanced deep architecture pruning using single filter performance cites this paper.
Advanced deep architecture pruning using single filter performance Concurrent Training and Layer Pruning of Deep Neural Networks
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:46:15.636668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcbb66cd-9d04-47a9-9245-f88f6bc35c8c · inbound
Online Training and Pruning of Deep Reinforcement Learning Networks cites this paper.
Online Training and Pruning of Deep Reinforcement Learning Networks Concurrent Training and Layer Pruning of Deep Neural Networks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:05:16.207626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c51b1efe-0a1b-4d28-8497-f82c8bd70425 · inbound
Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression cites this paper.
Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression Concurrent Training and Layer Pruning of Deep Neural Networks
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:19:04.401873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.