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Paper Citation Record · LEDGER

Exploring Multi-Lingual Bias of Large Code Models in Code Generation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.19368.

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

pith.paper-citation-record.v1
2404.19368 v1

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 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:40:07.260961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:55:12.338332Z

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 8f2ebaa5-aeb2-47ba-a82e-de3538ccd552 · inbound

BitsAI-CR: Automated Code Review via LLM in Practice cites this paper.

BitsAI-CR: Automated Code Review via LLM in Practice Exploring Multi-Lingual Bias of Large Code Models in Code Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:07.260961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:07.260961Z digest=sha256:f4a327a67e9105e37d78f2af39e717247828a5476ee03dea80e58d1d79bc78b6

Observation 19938b79-6abe-4e3f-bd70-57db6661ab1c · inbound

A Study of LLMs' Preferences for Libraries and Programming Languages cites this paper.

A Study of LLMs' Preferences for Libraries and Programming Languages Exploring Multi-Lingual Bias of Large Code Models in Code Generation

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:55:12.341167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T22:53:16.951417Z digest=sha256:930984c0b3f85e3fd6b6854a7270a8eb60a72c78abb301c8801f1b43a9f9e433

Observation be97ae33-6629-44cf-bdca-6ef56cfa74c0 · inbound

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry cites this paper.

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry Exploring Multi-Lingual Bias of Large Code Models in Code Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:38.449792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:38.449792Z digest=sha256:350ca4df9887d764d5f29631463515df789377370b0abb4b55ecdeb87509cf31

Observation 76a0fc30-62b3-43cd-ab19-c4e636451a4e · inbound

Let's Take Esoteric Programming Languages Seriously cites this paper.

Let's Take Esoteric Programming Languages Seriously Exploring Multi-Lingual Bias of Large Code Models in Code Generation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:46.309770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:46.309770Z digest=sha256:9921839109ff603c3888cdf95763c18c7d5e7bf95a6761253feaa47820c7612c

Observation cf2466e7-aa5d-4bef-88ed-4e7bfad94ad4 · inbound

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models cites this paper.

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models Exploring Multi-Lingual Bias of Large Code Models in Code Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:18.490672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:18.490672Z digest=sha256:da72bf40d7965ffcc5ed51ea878d0ee8fed723d1f5ffc6e204d019854b3883d6

Observation 835c85a5-d42e-4f20-9ed9-0a1d54b9f4e8 · inbound

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing cites this paper.

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing Exploring Multi-Lingual Bias of Large Code Models in Code Generation

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:05.653954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:35:55.075730Z digest=sha256:1338295b4c06185075b98dd0d7dd45d9c2ab93b7552645d27ac4d5a96053833e