Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2204.06644.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-24T06:35:22.947009Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
18
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0d227d5a-5188-43ba-a745-d0380534be26 · inbound
Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways cites this paper.
Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:36:01.774883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.