Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BP-Transformer: Modelling Long-Range Context via Binary Partitioning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.04070.
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 2026-08-04T21:33:59.005872Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:36:27.028013Z
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 266bbf49-a2b2-43ea-83c2-169ed23fecb9 · inbound
Longformer: The Long-Document Transformer cites this paper.
Longformer: The Long-Document Transformer BP-Transformer: Modelling Long-Range Context via Binary Partitioning
Reference 129
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:29:58.795670Z
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 203c83a2-4eb1-42a8-aa2b-632ee73ae8cb · inbound
Customizing the Inductive Biases of Softmax Attention using Structured Matrices cites this paper.
Customizing the Inductive Biases of Softmax Attention using Structured Matrices BP-Transformer: Modelling Long-Range Context via Binary Partitioning
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:33:59.005872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76ca895c-16c2-4ce0-a0f4-93fd63e4db18 · inbound
Dynamic Short Convolutions Improve Transformers cites this paper.
Dynamic Short Convolutions Improve Transformers BP-Transformer: Modelling Long-Range Context via Binary Partitioning
Reference 166
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:36:27.029405Z
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.