Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Large Language Models Replace Data Scientists in Biomedical Research?
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.21591.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:03:41.271056Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T17:48:48.878482Z
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 d32b6a8a-f763-44cb-8cfe-80228985eace · inbound
How Well Can Modern LLMs Act as Agent Cores in Radiology Environments? cites this paper.
How Well Can Modern LLMs Act as Agent Cores in Radiology Environments? Can Large Language Models Replace Data Scientists in Biomedical Research?
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:03:41.271056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d6ecc6e-7d30-47ff-94b4-c25dfa7a0ed4 · inbound
BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research cites this paper.
BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research Can Large Language Models Replace Data Scientists in Biomedical Research?
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:31.577938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee7801c0-0422-45e7-8471-bcef022d6006 · inbound
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? cites this paper.
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? Can Large Language Models Replace Data Scientists in Biomedical Research?
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T17:48:48.880290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.