Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.13226.
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 2026-08-08T12:25:42.703293Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:58:17.175551Z
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 cf0daa4a-04d5-425b-97aa-b54a59458357 · inbound
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:16:25.898611Z
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 b2962335-3f67-497d-a326-2b803159f749 · inbound
DataComp-LM: In search of the next generation of training sets for language models cites this paper.
DataComp-LM: In search of the next generation of training sets for language models Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Reference 144
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:58:17.178658Z
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 7c2fab43-7087-4322-8cde-93c3f06e6345 · inbound
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid cites this paper.
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T12:25:42.703293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.