Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models | Paper Citation Record

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:03:18.791309Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy3
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f825acfc-e9d6-4e61-af25-7db02b3769b2 · outbound

This paper cites paradigm shift.

Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models paradigm shift

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:18.915797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1350194a-ef26-4dc1-bf07-50035c09054d · outbound

This paper cites vaccine favorability,.

Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models vaccine favorability,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:18.892159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f1717dcb-193c-43a6-86f7-1ef8f878011b · outbound

This paper cites Many-Shot In-Context Learning.

Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models Many-Shot In-Context Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T15:03:18.784420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a4768a1-7988-456c-9ab2-233591090903 · outbound

This paper cites in favor.

Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models in favor

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:18.870716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.