Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.13336.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:02:52.344691Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T07:01:01.449340Z
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 68846ee7-aae0-45f4-bad7-ba174af485a1 · inbound
MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection cites this paper.
MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:02:52.344691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d54bc299-f53e-42e0-bd35-4b804409cad3 · inbound
Spiking Neural Network Architecture Search: A Survey cites this paper.
Spiking Neural Network Architecture Search: A Survey MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Reference 170
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:01:01.451752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 57ec14b8-180f-40f3-b12c-a1b24d762842 · inbound
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation cites this paper.
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:25:28.607601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.