Paper Citation Record · LEDGER

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.07331.

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

pith.paper-citation-record.v1
2410.07331 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:19.491104Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d121ce82-086d-4d30-a89e-e59964d33560 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

Reference 140

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.421754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b944511-a60a-467d-87f4-4285fa1271aa · 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 DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:19.491104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e2d337a-746b-4917-ab7f-3eb5b5e4049b · inbound

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:56:33.898593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84ac1730-5e0c-46e9-8020-3906a0f8732a · inbound

Business Utility of Large Language Models as Exploratory Data Analysis Agents cites this paper.

Business Utility of Large Language Models as Exploratory Data Analysis Agents DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:35:06.967514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ade5c9a6-3b8d-4267-aefb-aeb31df3c3c0 · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:47:32.165108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 042e4f50-b82f-4ff9-aa66-73d617b5b81c · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:13:32.320321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1f33716-ad98-44dd-9bd5-32a47f59ed69 · inbound

Matching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents cites this paper.

Matching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:59:37.157500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.