Paper Citation Record · LEDGER

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.10644.

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

pith.paper-citation-record.v1
2402.10644 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:22:06.935171Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:08:15.405681Z

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 4916a4ee-203f-4de1-a64a-2de066950051 · inbound

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:16:25.581876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d97c8a28-45ff-4032-99ac-3f7f1b598365 · inbound

Titans: Learning to Memorize at Test Time cites this paper.

Titans: Learning to Memorize at Test Time Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:15.409134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d1ac0cf-6e48-4f0b-b297-9fa3b0037b5a · inbound

Test-time regression: a unifying framework for designing sequence models with associative memory cites this paper.

Test-time regression: a unifying framework for designing sequence models with associative memory Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:22:06.935171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1565af2-adb7-4c74-b980-67bf83a13cfe · inbound

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid cites this paper.

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:42.624361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.