Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.10090.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T00:41:47.839826Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:19:44.372614Z
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 a94b7d40-de6f-4dc4-9aa1-dc4d7a99549c · inbound
On the Generalization of Knowledge Distillation: An Information-Theoretic View cites this paper.
On the Generalization of Knowledge Distillation: An Information-Theoretic View Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T18:03:10.039803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f20bce9f-ff68-4920-92f5-bab53b5824aa · inbound
Channel Location Constrains the Auditability of Subliminal Learning cites this paper.
Channel Location Constrains the Auditability of Subliminal Learning Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:19:44.374065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 471187d8-1150-47f1-be0f-e4c1fe22a198 · inbound
Optimal Self-Distillation for Rectified Flow via Linear Probing cites this paper.
Optimal Self-Distillation for Rectified Flow via Linear Probing Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:41:47.839826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.