Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.03760.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:21:47.618805Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T13:38:42.881831Z
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 723bb327-0b2a-4e4b-abd9-44ff7d5f0c13 · inbound
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods cites this paper.
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:21:47.618805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f67759c2-a3a3-4cfe-9a48-9e6c85993b7e · inbound
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning cites this paper.
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T13:38:42.886861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.