Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.14432.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T23:21:42.029285Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T23:21:42.357789Z
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 10d357ba-367e-4f34-9ea3-1d4478194c39 · inbound
A Survey of Context Engineering for Large Language Models cites this paper.
A Survey of Context Engineering for Large Language Models PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
Reference 270
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:58:45.462653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cd417e03-2dc0-4060-925b-32797f007787 · inbound
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:21:42.361449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.