Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.08036.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:53.658598Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T21:30:20.560224Z
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 c50a5bcb-daed-412e-9ba6-05c7dc4fdd3f · inbound
Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution cites this paper.
Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:30:53.658598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb77660a-9e2a-4114-a8e9-f7218f2d0f08 · inbound
DARTH-PUM: A Hybrid Processing-Using-Memory Architecture cites this paper.
DARTH-PUM: A Hybrid Processing-Using-Memory Architecture Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet
Reference 140
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:30:20.563502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.