Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-Free Knowledge Distillation for Deep Neural Networks
As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1710.07535.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T22:51:30.218317Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-29T18:33:50.595705Z
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 3bbdfe05-ce84-4fce-a053-8cd319940d9b · inbound
Dataset Distillation cites this paper.
Dataset Distillation Data-Free Knowledge Distillation for Deep Neural Networks
Reference 104
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T23:53:19.791235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0abc1751-955e-409b-bf97-d44f4cf30030 · inbound
Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training cites this paper.
Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training Data-Free Knowledge Distillation for Deep Neural Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:51:30.218317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99de305f-3848-4c8b-859c-080a4b88e23d · inbound
Improving Diversity in Black-box Few-shot Knowledge Distillation cites this paper.
Improving Diversity in Black-box Few-shot Knowledge Distillation Data-Free Knowledge Distillation for Deep Neural Networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:36:17.152383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a9d65cbc-cf83-4374-9acc-ad54490aac10 · inbound
Learning Through Noise: Why Subliminal Learning Works and When It Fails cites this paper.
Learning Through Noise: Why Subliminal Learning Works and When It Fails Data-Free Knowledge Distillation for Deep Neural Networks
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T05:15:22.286014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 69c3693f-c630-48f8-b4b1-96da9d068fc3 · inbound
Gradient Transformer: Learning to Generate Updates for LLMs cites this paper.
Gradient Transformer: Learning to Generate Updates for LLMs Data-Free Knowledge Distillation for Deep Neural Networks
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T18:33:50.597007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.