Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.13161.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:06.820344Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T13:12:27.552196Z
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 3a28bd60-e42a-4b47-874d-1726a0c0026a · inbound
Formally Solving Answer-Construction Problems in Lean cites this paper.
Formally Solving Answer-Construction Problems in Lean APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:06.820344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 624e43b7-e775-4632-adfb-fece35d6f95d · inbound
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories cites this paper.
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:12:27.644129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a978aaab-3763-4a1a-a6ea-05e054538348 · inbound
Imprompt: A Language Framework for Prompt Programming cites this paper.
Imprompt: A Language Framework for Prompt Programming APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:07:40.535325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.