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Paper Citation Record · LEDGER

Execution-based Evaluation for Data Science Code Generation Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.09374.

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

pith.paper-citation-record.v1
2211.09374 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:04:25.923680Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:04:44.485802Z

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 b9aa67de-2bc7-48ae-8c04-cbd2352be207 · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Execution-based Evaluation for Data Science Code Generation Models

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:04:44.487777Z

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=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:86521d5f4e7c8bcc5f428b0448190606d59534aa31262a7e8a2fdeafae0964db

Observation cdd0e85e-b736-4766-9b18-2631d738f4d1 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation Execution-based Evaluation for Data Science Code Generation Models

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.561107Z

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=2026-05-13T20:18:06.304134Z digest=sha256:e353f5db11c604f2b192ce8230c47470f1ad044c4abcd61bd84d83b6612ce19c

Observation 8ca4f069-33a3-4768-8b75-1b2ff9c01810 · inbound

Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility cites this paper.

Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility Execution-based Evaluation for Data Science Code Generation Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T19:04:25.923680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:04:25.923680Z digest=sha256:104c401ee83ab8e29f2d11646cb63794b5d2e23f0c8aa1efcb642ce5c09d0f35