Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.13163.
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 2026-08-07T06:10:21.092976Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T13:40:33.968231Z
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 83a1adf2-097c-47ce-9348-fda04cc58e76 · inbound
What learning algorithm is in-context learning? Investigations with linear models cites this paper.
What learning algorithm is in-context learning? Investigations with linear models Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T13:40:33.971330Z
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 4559da0e-1c67-4936-926e-00f186f34955 · 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 Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:10:21.092976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0269cc66-d7ca-4cfb-b3e1-c8cd82b63e1a · inbound
A PyTorch Library of Turing-Complete Neural Networks cites this paper.
A PyTorch Library of Turing-Complete Neural Networks Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:26:25.045888Z
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.