Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.16578.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:11.936652Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:32:22.416039Z
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 3d0fc7af-c17b-45a7-90af-edaab8781c7d · inbound
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
Reference 28
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.
Observation ddc4c65d-dd76-4906-8d39-cd67b10ed9b8 · inbound
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
Reference 28
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.
Observation 595a48b4-583f-4508-961f-4d32ac9e6a73 · inbound
RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30585797-cf51-41d7-94fb-c9b0f01d1009 · inbound
SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cef9b3c-85a4-4876-93c0-d5d070e76c6f · inbound
RoboSSM: Scalable In-context Imitation Learning via State-Space Models FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 715702ee-9e87-41e0-9d79-911f6a90bca4 · inbound
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.