Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.08027.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T09:37:05.815270Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:46:08.233365Z
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 549c1370-1914-4284-9627-dfc7472ff2d0 · inbound
AfroScope: A Framework for Studying the Linguistic Landscape of Africa cites this paper.
AfroScope: A Framework for Studying the Linguistic Landscape of Africa Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:37:05.815270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09775f12-b6ab-4daf-9769-0a89a60b390c · inbound
Anticipating Innovation Using Large Language Models cites this paper.
Anticipating Innovation Using Large Language Models Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:46:08.241204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.