Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Linear attention is (maybe) all you need (to understand transformer optimization)
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.01082.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:47.613549Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T15:04:46.136709Z
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 ec1e4f59-413a-46e9-8bfc-2cae6704f589 · inbound
Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization cites this paper.
Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:47.613549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2829d5ae-d210-43c7-a57f-8b0f2fb32faf · inbound
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization cites this paper.
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:10:16.118380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c56be0f-8610-4504-8510-4e9111b6f761 · inbound
Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling cites this paper.
Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:50:29.838100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1afaba9e-c5ad-414e-a3c8-348c35f33682 · inbound
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression cites this paper.
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:10:17.419244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afa979e0-9e86-4032-993b-d27729694443 · inbound
Nonconvex Decentralized Stochastic Bilevel Optimization under Heavy-Tailed Noise cites this paper.
Nonconvex Decentralized Stochastic Bilevel Optimization under Heavy-Tailed Noise Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:23:15.929444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f831fb28-cc3a-427a-a346-77d8a08ce436 · inbound
Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters cites this paper.
Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:02:27.337503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 611116c3-b893-4fc0-b03c-8dbe8a9f2ca8 · inbound
Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise cites this paper.
Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:04:46.138420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4c67f297-5b71-4076-905f-578153a0e7ea · inbound
The Convergence Behavior of Adam under Heavy-Tailed Noise cites this paper.
The Convergence Behavior of Adam under Heavy-Tailed Noise Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:37:46.250989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05b88bd0-d395-4f1b-8db1-dd7b93dd0aa7 · inbound
The Convergence Behavior of Adam under Heavy-Tailed Noise cites this paper.
The Convergence Behavior of Adam under Heavy-Tailed Noise Linear attention is (maybe) all you need (to understand transformer optimization)
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T03:30:54.192015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.