Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.02273.
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 2026-08-05T20:15:51.253468Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T00:21:56.310793Z
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 e612cc1e-244c-48f0-b23a-b4db2ea3f295 · inbound
SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning cites this paper.
SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:21:56.313739Z
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 44bc586b-1eaf-4ac2-b9d4-6d0ac48b6fb3 · inbound
Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures cites this paper.
Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:15:51.253468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.