Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Efficient Convolutional Networks through Network Slimming
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1708.06519.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:18.151229Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:19:23.062031Z
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 3473d1cf-5371-47de-a326-918a24857c7f · inbound
On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.
On Accelerating Edge AI: Optimizing Resource-Constrained Environments Learning Efficient Convolutional Networks through Network Slimming
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:46:38.272982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6b09eae-1885-44a8-8cb5-00f9d021bc27 · inbound
Efficient Object Detection of Marine Debris using Pruned YOLO Model cites this paper.
Efficient Object Detection of Marine Debris using Pruned YOLO Model Learning Efficient Convolutional Networks through Network Slimming
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T12:17:32.347011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4636798-48c4-450c-8bcc-b7ce8dced4e0 · inbound
Towards Adaptive Deep Learning: Model Elasticity via Prune-and-Grow CNN Architectures cites this paper.
Towards Adaptive Deep Learning: Model Elasticity via Prune-and-Grow CNN Architectures Learning Efficient Convolutional Networks through Network Slimming
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:02:18.151229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbc02b38-aae7-4662-b314-f5a94281ec7b · inbound
Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning cites this paper.
Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning Learning Efficient Convolutional Networks through Network Slimming
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:19:23.067036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.