Paper Citation Record · LEDGER

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2607.07504.

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

pith.paper-citation-record.v1
2607.07504 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T09:01:10.366890Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:35:06.786385Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact11
verified fuzzy1
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1ef08d5-8e60-440e-8a12-9177e2374d08 · outbound

This paper cites an unresolved cited work.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-07-09T09:06:06.401920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09d0a9de-c414-4766-aba1-75a1a4f54bf9 · outbound

This paper cites an unresolved cited work.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-07-09T09:06:06.404650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 93953701-11d7-4430-96e5-7d9e96237f6b · outbound

This paper cites SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.130866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f22a2e72-0f09-4d72-b003-a7c628239b6f · outbound

This paper cites an unresolved cited work.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-07-09T09:06:06.408625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f27b98f-55ae-40d6-acc9-06c9a92c1442 · outbound

This paper cites DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.133830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86898c1e-ad37-47cd-bbd7-4350a2efb67e · outbound

This paper cites an unresolved cited work.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-07-09T09:06:06.406501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0419213-ee9d-4b80-a42f-e4c338735113 · outbound

This paper cites Advances in Neural Information Processing Systems33 (2020), 9459–9474.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Advances in Neural Information Processing Systems33 (2020), 9459–9474

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.399724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee6846d7-14ac-4868-99d4-8a12d99aa43f · outbound

This paper cites AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.143880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d15ac8f1-18c3-4d69-bd29-4b83bf4449f8 · outbound

This paper cites SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.117269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a79288f6-49c0-4932-bb08-4e4c562b752f · outbound

This paper cites an unresolved cited work.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-07-09T09:06:06.406788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f671541-6cea-4542-a5ae-64519f0f1e16 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.141613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05041e25-47f6-4e87-8b1a-1b26a33f5c0b · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.154704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0625b5d3-5f77-41e8-af3c-dfb249bf919f · outbound

This paper cites LLM4DS: Evaluating Large Language Models for Data Science Code Generation.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows LLM4DS: Evaluating Large Language Models for Data Science Code Generation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.145336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 910858c5-2644-4638-8c81-5c2cbfa4ebd4 · outbound

This paper cites an unresolved cited work.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Unresolved cited work

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-09T09:06:06.127569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e0f0e24-9e40-4397-8d8b-3ee7a87b32df · outbound

This paper cites PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.149504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 736d9a04-7a50-4ce0-8288-8d3905cf1aa5 · outbound

This paper cites an unresolved cited work.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-07-09T09:06:06.396644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb8e1859-f952-49df-b828-53cf5e68d1ea · outbound

This paper cites DataSciBench: An LLM Agent Benchmark for Data Science.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows DataSciBench: An LLM Agent Benchmark for Data Science

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.147665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c39d3934-296e-4a00-b58d-f937b4bb400f · outbound

This paper cites SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.151311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation a02860c8-bd7b-44f9-bd72-d4b19e054b75 · inbound

Is Progressive Disclosure All You Need for Long-Context Agents? cites this paper.

Is Progressive Disclosure All You Need for Long-Context Agents? Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T17:35:06.786385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5198b524-eec3-48cd-9bc4-6faa16cc494a · inbound

The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents cites this paper.

The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T04:31:35.698995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.