Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.17282.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:35.689491Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T21:53:58.994435Z
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 4356e91a-2922-4bb4-8c5a-be5159899cfa · inbound
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants cites this paper.
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:12:35.689491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76ab1d5f-4f61-4dfe-94c6-aa3c4bc20ba9 · inbound
Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration cites this paper.
Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:16:19.448424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28d8af51-3f25-4ae4-af06-0431fbb793c6 · inbound
Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching cites this paper.
Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:53:58.995726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.