Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.11268.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:39:14.118607Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T23:23:51.654192Z
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 476ef222-2196-4878-8eec-db59a372e755 · inbound
Universal Approximation of Visual Autoregressive Transformers cites this paper.
Universal Approximation of Visual Autoregressive Transformers Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:39:14.118607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 362eea60-591f-4fab-8478-510d067a27f9 · inbound
A Survey on Latent Reasoning cites this paper.
A Survey on Latent Reasoning Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:14:22.857140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c58ff7cf-4744-4c63-9628-d0183ad75873 · inbound
Simply Stabilizing the Loop via Fully Looped Transformer cites this paper.
Simply Stabilizing the Loop via Fully Looped Transformer Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:23:51.678015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.