Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.15298.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T11:09:22.275369Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T22:35:49.803600Z
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 783859c4-2f48-4371-9601-93430e7dd6e7 · inbound
FMI@SU ToxHabits: Evaluating LLMs Performance on Toxic Habit Extraction in Spanish Clinical Texts cites this paper.
FMI@SU ToxHabits: Evaluating LLMs Performance on Toxic Habit Extraction in Spanish Clinical Texts A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:35:49.809037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a27738a-a448-4059-bf05-c18fee98723b · inbound
From Errors to Rules: Iterative Prompt Optimization for Text Classification cites this paper.
From Errors to Rules: Iterative Prompt Optimization for Text Classification A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:09:22.275369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.