Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.06580.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:08.472839Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T11:11:18.175845Z
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 ba4b92eb-7b3e-4d32-9517-c76a3d75a398 · inbound
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning Agent models: Internalizing Chain-of-Action Generation into Reasoning models
Reference 80
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34004d64-1731-4d15-8987-9d9d92763634 · inbound
WebDancer: Towards Autonomous Information Seeking Agency Agent models: Internalizing Chain-of-Action Generation into Reasoning models
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 741fff49-6051-4b69-8548-4d5a7709980d · inbound
TaskCraft: Automated Generation of Agentic Tasks Agent models: Internalizing Chain-of-Action Generation into Reasoning models
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fb80d5e-1fd7-449b-a908-02bc1a97f13f · inbound
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs Agent models: Internalizing Chain-of-Action Generation into Reasoning models
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.