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Paper Citation Record · LEDGER

MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2203.08388.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2203.08388 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:37:38.148710Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T07:04:44.547406Z

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 cf39eb5d-04bd-485b-8bfc-0191b36e26c9 · inbound

Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integration cites this paper.

Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integration MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T23:56:14.488934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:56:14.488934Z digest=sha256:bc2869c3a845388c45b811e8b084733c5dbe191f89bfd64aaa251a656a184c73

Observation 8e2fb44b-728e-4ccb-b5a7-7f88b8e9b4f6 · inbound

LLM Code Customization with Visual Results: A Benchmark on TikZ cites this paper.

LLM Code Customization with Visual Results: A Benchmark on TikZ MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T23:37:38.148710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:37:38.148710Z digest=sha256:ba4533a9fadab197e8a83028024cb3619f7d1a2c5f8860841e6ac08ac40e612c

Observation 4494aa1a-fc8f-460b-bd00-7ddf1fdadab1 · inbound

Toward Inclusive AI-Driven Development: Exploring Gender Differences in Code Generation Tool Interactions cites this paper.

Toward Inclusive AI-Driven Development: Exploring Gender Differences in Code Generation Tool Interactions MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:04.098654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:04.098654Z digest=sha256:59d67676d71ff41b1198aa0c8006e0c5b6f96309af2927b02776910bb3054982

Observation 0373be4a-3c79-484c-9b03-7ede74aba817 · inbound

ML2B: Benchmarking LLMs on Cross-Lingual ML Pipeline Generation cites this paper.

ML2B: Benchmarking LLMs on Cross-Lingual ML Pipeline Generation MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T14:52:50.080171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:52:50.080171Z digest=sha256:1af4bb96a014a46e9681882cadfb19bbfc6f28cb9c9aa0ba65112422f1a3b580

Observation 4805d1cc-264c-4065-8d7c-2d48e7a68d21 · inbound

RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications cites this paper.

RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-08T07:04:44.548926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-08T06:55:40.830922Z digest=sha256:e687373a7ddc3f84358e7752b7916b3b4acfd86a6496a9d2d5e883e32bc48da0

Observation d9069d21-4c4a-469a-ad8c-0bd1f78a22aa · inbound

RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications cites this paper.

RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T08:21:50.163874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:21:50.163874Z digest=sha256:0399d66b9cddab941fcc0d9199ab7128e81843edc1c73d400c4b2391a8ce3895