Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.22068.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T23:55:22.768635Z
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
0
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 379a3b1b-3cb7-459c-a496-f166fe5ee36e · inbound
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction cites this paper.
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T17:23:40.406161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 39cf0a59-5e35-438d-ad03-c352d175247f · inbound
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction cites this paper.
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:05:09.456610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.