Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.08875.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:25:56.733719Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:44:34.874278Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 1e23bb82-6742-4636-aafd-bc83be4c44da · inbound
Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training Predicting the Performance of Multilingual NLP Models
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b6b13c3-4d7d-4a1b-8e9d-deab6f78d89a · inbound
Analysis of Indic Language Capabilities in LLMs Predicting the Performance of Multilingual NLP Models
Reference 71
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d72ade8-c837-4475-bf78-ba2e4abb7021 · inbound
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter Predicting the Performance of Multilingual NLP Models
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae5573d3-fa07-43e2-a4ad-11f97e55abf3 · inbound
SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods Predicting the Performance of Multilingual NLP Models
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.