Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.13233.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:22:46.444442Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T05:57:41.606368Z
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 2d94a4be-7d04-4ddc-aded-a0987fe79986 · inbound
Supervising the search process produces reliable and generalizable information-seeking agents cites this paper.
Supervising the search process produces reliable and generalizable information-seeking agents SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:22:25.381371Z
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.
Observation a113dfbf-884a-4d75-994b-5adc273e4939 · inbound
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis cites this paper.
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:22:46.444442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54046555-b703-48b9-9468-a8285f54f3b2 · inbound
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Reference 211
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:57:41.607895Z
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.