Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The potential of LLMs for coding with low-resource and domain-specific programming languages
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.13018.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:03:55.216981Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T03:12:28.532445Z
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 1bfa483e-785f-4ef6-aa76-67a740e65de6 · inbound
Generating Move Smart Contracts based on Concepts cites this paper.
Generating Move Smart Contracts based on Concepts The potential of LLMs for coding with low-resource and domain-specific programming languages
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:55.216981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50c9dd9f-96bf-4d01-ac05-300a3992cc44 · inbound
CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models cites this paper.
CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models The potential of LLMs for coding with low-resource and domain-specific programming languages
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:12:28.535299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c65892ca-9d8c-49de-9445-8195ff8c8eb5 · inbound
CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer cites this paper.
CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer The potential of LLMs for coding with low-resource and domain-specific programming languages
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:26:50.363649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.