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Paper Citation Record · LEDGER

Introduction to Transformers: an NLP Perspective

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.17633.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.17633 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:14:59.405606Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-10T20:14:59.405606Z digest=sha256:9b879ab739add12a7b6a3aae340a44c2c54a0c41e573f20b949bab46c2ae173a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:8079ab373f75911ea9846b174c41a07e73ed9840142680cde4f4fd137ba3afc8