Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.13687.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:03:33.933966Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:58:02.891524Z
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 eb0491ae-09a9-4766-9620-e15a28914a51 · inbound
Integrated Sensing, Computing, Communication, and Control for Time-Sequence-Based Semantic Communications panda-gym: Open-source goal-conditioned environments for robotic learning
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 724d31af-04ba-4815-9315-aeb279a4136c · inbound
DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning panda-gym: Open-source goal-conditioned environments for robotic learning
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 542e7953-4f5f-43d3-b567-4774c9be30e0 · inbound
LLM Trainer: Automated Robotic Data Generation via Demonstration Augmentation using LLMs panda-gym: Open-source goal-conditioned environments for robotic learning
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f34c5b2-539f-49a0-9548-d7b7eec36295 · inbound
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application panda-gym: Open-source goal-conditioned environments for robotic learning
Reference 91
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.