Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.08719.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:23:28.936288Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T23:49:10.749030Z
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 fe710e60-0889-4fe5-9610-e12dfe0d63b8 · inbound
Critical attention scaling in long-context transformers cites this paper.
Critical attention scaling in long-context transformers SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:23:28.936288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c93cd242-856c-464a-ac27-e9f2b15970f8 · inbound
Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.
Kimi Linear: An Expressive, Efficient Attention Architecture SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:49:10.751896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed4057f1-2743-487d-a3b3-94690b9c8024 · inbound
Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D cites this paper.
Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:31:01.698242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.