Pith. sign in

Paper Citation Record · LEDGER

Benchmarking Data Science Agents

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.17168.

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

pith.paper-citation-record.v1
2402.17168 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 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:02.675582Z

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

1
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 a2ed1429-c327-4ad6-8ac8-d2e894e2a3ca · inbound

Interactive Data Harmonization with LLM Agents: Opportunities and Challenges cites this paper.

Interactive Data Harmonization with LLM Agents: Opportunities and Challenges Benchmarking Data Science Agents

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:49.733931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:49.733931Z digest=sha256:f41d525cabb3305c39748b80747e1b9fe8e2576441938df829942ea1f3d3f928

Observation ef6457dc-2efe-4937-ac1b-ee6f4a1f7cee · 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 Benchmarking Data Science Agents

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.381968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:6df4a479920113823492266ab08a110404b8fd8776ef8e973da377127dfa2b2d

Observation 0c5fbab4-3386-4b8c-9573-bf08a0ea9527 · inbound

Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey cites this paper.

Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey Benchmarking Data Science Agents

Reference 172

Resolution
unresolved
no resolver link, observed 2026-08-15T23:56:02.675582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:56:02.675582Z digest=sha256:70bf9e8d2e291f772e4748f97f6511ace2b4847a587d5e54e4ac71439db316fd

Observation 4de4f6d1-b4ea-4d4e-985b-bc5f46820451 · inbound

MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering cites this paper.

MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering Benchmarking Data Science Agents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T22:11:54.231044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:11:54.231044Z digest=sha256:745c5a001e8e3bec8563fc0385db47e3ac2ebe3166d9b0aa4d0a81e4888c9a56

Observation 23a9d37c-682d-49bf-b918-82cc5a85db64 · inbound

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation cites this paper.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Benchmarking Data Science Agents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.747424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.747424Z digest=sha256:1f7ba7a1cb8d6323ecdd89c603dead7c7a7d27268eb8e82f66f6d1dee00faa14

Observation 3bd3dcb2-853e-41e9-a90f-a39c54cc433b · 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 Benchmarking Data Science Agents

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:19.486540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:19.486540Z digest=sha256:666fdcb2c213774fbf49a9775333fd2558590e0b165ea6e558eb04e673cf6f93

Observation 91dc55bc-1c01-4da7-8b2e-03b5a330c0a2 · inbound

Memory in the Age of AI Agents cites this paper.

Memory in the Age of AI Agents Benchmarking Data Science Agents

Reference 300

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:18:20.523646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-11T18:18:19.911342Z digest=sha256:c0ec0b1885e9d8cb10dcf728d32ea5e3ab3d9c5e6691718fe3cb2c24a607976f

Observation 110eafb3-25be-4e6d-bc56-406c758754ae · 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 Benchmarking Data Science Agents

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:35:07.009837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T23:25:17.416071Z digest=sha256:c28636eab54e1aaa3994e804210db9ddb4ab846d94550b12aed64bdeb66444d3