Paper Citation Record · LEDGER

Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.02179.

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

pith.paper-citation-record.v1
2307.02179 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:13:31.884659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T08:39:28.164364Z

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 8d9c085d-6e39-4ae5-8ef4-c2bd198a7064 · inbound

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models cites this paper.

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T08:39:28.167017Z

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 29252ca1-e8a3-451b-b0ad-34a46d007d2a · inbound

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs cites this paper.

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:31.884659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe86cd5c-f59a-4f0e-bf76-efcf1f393c6f · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T11:34:08.091209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6a2661-8fe5-4cda-b9ee-a31c05e6d319 · inbound

Concept Navigation and Classification via Open-Source Large Language Model Processing cites this paper.

Concept Navigation and Classification via Open-Source Large Language Model Processing Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:45.893050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3bfb64a-b552-4833-937c-372c05629403 · inbound

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications cites this paper.

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:30.128678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db92829f-04e8-4e15-9388-a6100d99a3d8 · inbound

ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection cites this paper.

ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T21:53:04.125439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d58986c-7e14-4e38-8c82-ee71a1672364 · inbound

Evaluating Large Language Models as Expert Annotators cites this paper.

Evaluating Large Language Models as Expert Annotators Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T21:57:58.829185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.