Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2009.11243.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:35:46.475611Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:19:30.034335Z
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 cd516bb9-96a0-47d6-9402-4d43cbb745bc · inbound
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning cites this paper.
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:35:46.475611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7ead697-18fc-413d-bf75-9672ca8a29de · inbound
Celo: Training Versatile Learned Optimizers on a Compute Diet cites this paper.
Celo: Training Versatile Learned Optimizers on a Compute Diet Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:01:13.969069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44f62159-29b7-427f-9199-f6b3536a3d0c · inbound
How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.
How Should We Meta-Learn Reinforcement Learning Algorithms? Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:48:49.605196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66849f39-ba42-4de8-81f2-0880973a415b · inbound
Learn2Splat: Extending the Horizon of Learned 3DGS Optimization cites this paper.
Learn2Splat: Extending the Horizon of Learned 3DGS Optimization Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:58:53.930645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 68a2e6ff-fda1-400c-95ab-e4e99d9a2d03 · inbound
FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows cites this paper.
FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T03:19:30.036596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.