Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey on Automated Machine Learning for Recommendations
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.01390.
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 2026-08-06T19:50:41.097865Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:48:36.716576Z
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 d23f2131-e4c5-494c-a719-0fc21a2f165c · inbound
Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework cites this paper.
Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework A Comprehensive Survey on Automated Machine Learning for Recommendations
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:50:41.097865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 239ece0b-f33a-46e0-a2d7-3a958074d094 · inbound
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation cites this paper.
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation A Comprehensive Survey on Automated Machine Learning for Recommendations
Reference 2019
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:48:36.821431Z
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.