Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14751.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:32:45.897175Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T12:02:16.691021Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation eb2d3262-c742-4b9b-91db-f4bc0f603e5a · inbound
Enabling Autonomic Microservice Management through Self-Learning Agents AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 9
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 AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 36
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 AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e1287f9b-babd-4ceb-9e37-6c71da9d6bdc · inbound
Cognitive Agents Powered by Large Language Models for Agile Software Project Management AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.