Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Introduction to Transformers: an NLP Perspective
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.17633.
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 2026-08-12T20:57:50.880102Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T02:39:41.352293Z
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 c5a8927e-4089-478c-8ad7-11d47cb1efa1 · inbound
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers cites this paper.
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers Introduction to Transformers: an NLP Perspective
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:57:50.880102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c53a7e35-5bd0-458e-90de-dd1d13cb2748 · inbound
Foundations of Large Language Models cites this paper.
Foundations of Large Language Models Introduction to Transformers: an NLP Perspective
Reference 271
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:14:59.405606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9817abc6-c845-4d54-a208-3bdbe5cfadb1 · inbound
Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement cites this paper.
Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Introduction to Transformers: an NLP Perspective
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T02:17:04.268860Z
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.