Paper Citation Record · LEDGER

Natural Language to Code Generation in Interactive Data Science Notebooks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2212.09248.

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

pith.paper-citation-record.v1
2212.09248 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:46:04.054718Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:04:44.489085Z

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 29a7cb2b-96ac-4b74-91f0-c07dffc899de · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:06:44.699695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5db31f4b-7bb0-4cac-a2bb-e23cafece043 · inbound

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

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:04:44.491270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed931c2c-3b4f-4706-a563-19fbf052a842 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:34:42.684676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be8cfd84-c410-4b06-bacd-2aa31b2d4f5e · inbound

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories cites this paper.

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T16:46:04.054718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c362341-1348-4ed4-bc0b-e73b01dcacee · inbound

Knowledge-Enhanced Program Repair for Data Science Code cites this paper.

Knowledge-Enhanced Program Repair for Data Science Code Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T20:37:30.689106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb373681-2cd1-4688-80b1-e656e8507ee3 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:17.290883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f43140-ffb4-4a75-b919-c308c0437bbb · inbound

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code cites this paper.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.781148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77027596-2ac8-413f-a228-9f2539f77eb6 · inbound

Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation cites this paper.

Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:57:29.089893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.