Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.11385.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:13.079539Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T00:38:44.971183Z
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 998767c1-e8e4-42ac-935d-36bbe357f3fd · inbound
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer cites this paper.
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:13.079539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a321585-e291-49c4-9d6e-32adc78b4397 · inbound
Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks cites this paper.
Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:03:23.515122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c63b9ad-fab1-45d6-b894-60df4a425c10 · inbound
Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems cites this paper.
Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:38:44.974344Z
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 dd1c3ec0-4939-4987-be40-97b8ffcb68a6 · inbound
Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking cites this paper.
Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:28:06.410255Z
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 8dde9a49-2bd8-4e68-9f8a-8a75aeccbca9 · inbound
FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning cites this paper.
FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:25.637452Z
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 f69d0391-fd13-4e3f-9638-b707064873c4 · inbound
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing cites this paper.
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:52:05.760292Z
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 6638c425-8250-4758-bcad-6f9428afe809 · inbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks cites this paper.
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T19:04:33.760614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.