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Paper Citation Record · LEDGER

Personalized Text Generation with Fine-Grained Linguistic Control

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.04914.

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

pith.paper-citation-record.v1
2402.04914 v1

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:50:40.575012Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 158a479a-acac-4f81-bbc9-aa5c015332d4 · inbound

Evaluating Style-Personalized Text Generation: Challenges and Directions cites this paper.

Evaluating Style-Personalized Text Generation: Challenges and Directions Personalized Text Generation with Fine-Grained Linguistic Control

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T22:50:40.575012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:50:40.575012Z digest=sha256:dc4176cb39d6cc1e3b29cbe07f9475e6fce102787765d6fe1e109dcb6f24326c

Observation 4370be20-d6d9-44ea-afc6-86a96278747e · inbound

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework cites this paper.

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework Personalized Text Generation with Fine-Grained Linguistic Control

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:25:19.064998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-25T04:20:18.157637Z digest=sha256:6c415e9a958ec9c97dbf577e79354c523977ee791cd52eb370ca008ed31147f7