Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1709.06030.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:59:54.461465Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T10:17:56.620364Z
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 95674ba4-7125-4f12-80b2-cb128a9b15e4 · inbound
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research cites this paper.
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:59:54.461465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebf228cc-f910-4b51-b83d-1538bacaf808 · inbound
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning cites this paper.
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T10:17:56.627619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.