Paper Citation Record · LEDGER

A Recipe For Arbitrary Text Style Transfer with Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.03910.

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

pith.paper-citation-record.v1
2109.03910 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:52:45.776777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:03:06.019459Z

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 fcc6d1a8-9379-4080-9460-e9f5b734f8f6 · inbound

Finetuned Language Models Are Zero-Shot Learners cites this paper.

Finetuned Language Models Are Zero-Shot Learners A Recipe For Arbitrary Text Style Transfer with Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:14:13.264907Z

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.

Observation 3791123a-9f0d-487a-908e-f8d446dd3aa7 · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models A Recipe For Arbitrary Text Style Transfer with Large Language Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:54:44.773649Z

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.

Observation f2a2967a-df33-46eb-bc19-b1d7930dce5c · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models A Recipe For Arbitrary Text Style Transfer with Large Language Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:02:50.354788Z

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.

Observation c18b4113-eaf7-4fa9-848b-f1ded07e658d · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models A Recipe For Arbitrary Text Style Transfer with Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:03:06.022122Z

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.

Observation 95ae232e-8e0e-4f6d-aef0-99dbeef1eed6 · inbound

Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming cites this paper.

Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming A Recipe For Arbitrary Text Style Transfer with Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T21:52:45.776777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.