Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04118.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:07:06.807104Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:08:20.723129Z
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 f0846533-7039-4b97-a8a3-f0abb39a18c1 · inbound
From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.
From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:08:20.726127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6cdf4b7a-29b6-474c-bfe9-a3faf91079d1 · inbound
The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future cites this paper.
The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:07:06.807104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.