Paper Citation Record · LEDGER

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2402.17453.

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

pith.paper-citation-record.v1
2402.17453 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 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 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:33:13.167944Z

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

7
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 4cf5c454-0308-43ae-8b62-b4ad963cb9ed · inbound

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts cites this paper.

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:33:13.167944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4659a44c-bcf5-458b-9936-4acab57bde96 · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T23:07:33.823933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e4fa94c-7327-4c82-91a6-bae31357304b · inbound

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model cites this paper.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:58.750533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ae36bc-2665-4077-a4aa-06d8736d1145 · inbound

PINNsAgent: Automated PDE Surrogation with Large Language Models cites this paper.

PINNsAgent: Automated PDE Surrogation with Large Language Models DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T17:38:24.144040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a846e40-0736-4af6-89e4-763bc7410d8e · 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 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.337332Z

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.

Observation 387be6fa-0716-496f-bffa-74115261da65 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:43.286124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52053ff-840b-4af4-9163-55ea9c17375c · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:16.934373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d151cb-20e9-47e0-9ac8-7cdb7334dbde · inbound

AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 266

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:12.846149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 077f9ec0-2e76-427a-a639-5b85e9862d1e · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T13:05:35.520350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a8fab7-3e11-4586-a0d8-cb4cd88ce8e9 · inbound

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data cites this paper.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T22:43:06.482387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d4fda5-22cb-428c-96e2-143f5ba2fcb5 · inbound

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study cites this paper.

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T21:09:18.923440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c968334a-ec0d-43e4-9e28-e52c46ce7caf · inbound

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report cites this paper.

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T10:40:24.594734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f2056f-ab41-4a1b-b5ce-6602ea9b8569 · inbound

TusoAI: Agentic Optimization for Scientific Methods cites this paper.

TusoAI: Agentic Optimization for Scientific Methods DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:34:23.772365Z

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.

Observation 0e871f9f-a35a-425f-ab7d-af1d25edc6cf · inbound

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML cites this paper.

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T23:25:33.853244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e13a331-bcba-4b0f-8adb-6529d74eaf4e · inbound

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery cites this paper.

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:16:04.607563Z

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.

Observation 5126a5e4-08a2-411c-b85e-92d196367015 · inbound

Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research cites this paper.

Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:00.789256Z

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.

Observation c5921ea9-bdd1-40da-9556-e9573e591e17 · inbound

AgentGA: Evolving Code Solutions in Agent-Seed Space cites this paper.

AgentGA: Evolving Code Solutions in Agent-Seed Space DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:20.973020Z

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.

Observation b53bacc6-c686-4485-bc2d-cd3b058de020 · inbound

AgentGA: Evolving Code Solutions in Agent-Seed Space cites this paper.

AgentGA: Evolving Code Solutions in Agent-Seed Space DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:16:20.156836Z

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.

Observation 64550051-c40d-40b7-8047-bdd6bcbaa68b · inbound

Agentic-imodels: Evolving agentic interpretability tools via autoresearch cites this paper.

Agentic-imodels: Evolving agentic interpretability tools via autoresearch DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:36.295680Z

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.

Observation f2192aea-078f-4b46-b81a-b8e225c246fa · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:57.254090Z

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.

Observation 9f907d30-573d-464f-9dda-5ef890475313 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:19:15.385966Z

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.

Observation 5f7c78d8-f590-4524-960f-4a1ea7eb4468 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:25:07.399146Z

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.

Observation d41958c4-0ef1-43bf-8da4-c3dadf764849 · inbound

CellDX AI Autopilot: Agent-Guided Training and Deployment of Pathology Classifiers cites this paper.

CellDX AI Autopilot: Agent-Guided Training and Deployment of Pathology Classifiers DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:06:24.256893Z

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.

Observation 8a809415-0181-442b-9039-31cb91cbfad3 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:12.588909Z

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.

Observation bf578ee1-1679-41f2-8d97-fcb9d5c14e39 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T13:43:34.559307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 815cdb40-e5bc-4cbd-93e3-23dd9765e022 · inbound

Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model cites this paper.

Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T10:06:51.700213Z

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.

Observation ad745a9a-e73c-4ebe-8dbb-0bbccb0fc206 · inbound

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory cites this paper.

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:17:30.358022Z

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.

Observation c9abf577-26fb-4414-a0ea-5ac23075eea8 · inbound

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization cites this paper.

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:02.926497Z

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.

Observation bf54f715-35fc-4591-bd9d-adc4e28cb5af · inbound

ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments cites this paper.

ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:40:00.822056Z

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.

Observation 220d49aa-59d6-4d16-bd14-4ed13f53ab08 · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:40:08.245015Z

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.

Observation f8a59770-4d3e-47d1-a0e0-240b0722c54e · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:51.256975Z

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.

Observation 7fdde1a0-5123-45c4-82fd-ed38313115cd · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T12:08:06.206832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4cacc42-7757-44ac-abd0-a72cac0d4895 · inbound

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering cites this paper.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:46.981119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.