Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fundamental Limitations on Subquadratic Alternatives to Transformers
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.04271.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:07:04.127924Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T09:28:39.174356Z
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 a6da9b8c-20d6-4119-b53d-161f147b3710 · inbound
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency cites this paper.
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency Fundamental Limitations on Subquadratic Alternatives to Transformers
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:04.127924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08871b70-949e-4363-94e1-b9ffa883dd0b · inbound
KV Shifting Attention Enhances Language Modeling cites this paper.
KV Shifting Attention Enhances Language Modeling Fundamental Limitations on Subquadratic Alternatives to Transformers
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:10:29.848903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7be7997-f7d1-4b45-8e5d-a07dff7c9447 · inbound
How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers cites this paper.
How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers Fundamental Limitations on Subquadratic Alternatives to Transformers
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:28:39.175834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.