Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The effectiveness of MAE pre-pretraining for billion-scale pretraining
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.13496.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:46.245652Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T22:46:10.106726Z
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 cdd5b176-3708-454b-8ce4-402be697162a · inbound
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks cites this paper.
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks The effectiveness of MAE pre-pretraining for billion-scale pretraining
Reference 129
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:46:10.109386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 92706e5b-b3d8-46d6-a611-b08cdcea6f0f · inbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images cites this paper.
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images The effectiveness of MAE pre-pretraining for billion-scale pretraining
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:46.245652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.