Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14751.
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 2026-08-15T18:05:09.338173Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T12:02:16.691021Z
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 eb2d3262-c742-4b9b-91db-f4bc0f603e5a · inbound
Enabling Autonomic Microservice Management through Self-Learning Agents cites this paper.
Enabling Autonomic Microservice Management through Self-Learning Agents AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:32:45.897175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3bb3af5-ab39-4077-9a86-7461ff5ecf13 · inbound
MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.
MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:59:17.923881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c511ea40-060a-4eae-ac6c-2f12ffdad89e · inbound
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T12:02:16.693117Z
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.
Observation 5cd0baff-79b0-4f3b-85fe-5688eaf22f2a · inbound
OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth? cites this paper.
OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth? AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:05:09.338173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1287f9b-babd-4ceb-9e37-6c71da9d6bdc · inbound
Cognitive Agents Powered by Large Language Models for Agile Software Project Management cites this paper.
Cognitive Agents Powered by Large Language Models for Agile Software Project Management AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:59:25.672829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.