Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning and Evaluating General Linguistic Intelligence
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1901.11373.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-25T09:01:03.286718Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-25T09:05:36.052837Z
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 60b097d3-7789-4b43-b492-6cc342813570 · inbound
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study cites this paper.
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study Learning and Evaluating General Linguistic Intelligence
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T09:05:36.055246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aabd22bf-9114-4751-8c62-80c3be334456 · inbound
Language Models as Knowledge Bases? cites this paper.
Language Models as Knowledge Bases? Learning and Evaluating General Linguistic Intelligence
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T10:51:45.762263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c25c318b-b7cf-4ade-a656-8a4ed5078beb · inbound
Language Models are Few-Shot Learners cites this paper.
Language Models are Few-Shot Learners Learning and Evaluating General Linguistic Intelligence
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:05:38.106841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 807f0376-60e0-4910-ba28-ecc2a63210d5 · inbound
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Learning and Evaluating General Linguistic Intelligence
Reference 75
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T12:14:26.676273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.