Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Computational Power of Transformers and its Implications in Sequence Modeling
As of 15 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.09286.
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 2026-07-15T06:30:58.975436+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-18T20:49:26.966293Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T20:51:50.763304Z
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 56899cd4-4c4a-4ef3-b630-cee31339b162 · inbound
Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling cites this paper.
Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling On the Computational Power of Transformers and its Implications in Sequence Modeling
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T20:51:50.765643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f35b7189-1d71-4af6-abbf-65e3f7486f1e · inbound
Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy cites this paper.
Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy On the Computational Power of Transformers and its Implications in Sequence Modeling
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:53:11.725699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.