Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.19756.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:36.064866Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:46:33.413724Z
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 6fb9b090-5635-483b-ba80-c437652ac54e · inbound
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties cites this paper.
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation
Reference 2004
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:30:36.064866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30c85b91-49e7-4937-a634-b0b933e1094b · inbound
The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas cites this paper.
The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:46:33.488984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.