Paper Citation Record · LEDGER

Native Hybrid Attention for Efficient Sequence Modeling

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2510.07019.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2510.07019 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:39:28.211515Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-03T13:48:20.314999Z

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 14ffcf2d-481a-441f-8541-849cc8083d27 · inbound

Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.

Kimi Linear: An Expressive, Efficient Attention Architecture Native Hybrid Attention for Efficient Sequence Modeling

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-13T23:49:11.073560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 389ea3d7-d7c0-424b-b13b-ebf225104c1c · inbound

Stem: Rethinking Causal Information Flow in Sparse Attention cites this paper.

Stem: Rethinking Causal Information Flow in Sparse Attention Native Hybrid Attention for Efficient Sequence Modeling

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T02:39:28.211515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84fe8c76-4b81-4def-9814-1954a2ea2e6d · inbound

Morphing into Hybrid Attention Models cites this paper.

Morphing into Hybrid Attention Models Native Hybrid Attention for Efficient Sequence Modeling

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:44:28.030389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6abd0130-86be-4c01-8737-beb7e5e67026 · inbound

A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets cites this paper.

A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets Native Hybrid Attention for Efficient Sequence Modeling

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-03T13:48:20.316308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.