Paper Citation Record · LEDGER

Scaling Laws for Linear Complexity Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.16690.

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

pith.paper-citation-record.v1
2406.16690 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:25:42.721108Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:44:02.760568Z

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 ee0d4a49-1b80-4720-9669-95881963ddff · 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 Scaling Laws for Linear Complexity Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:42.721108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 084effe9-d473-4cb3-a801-0e8d4de400f8 · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data Scaling Laws for Linear Complexity Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:46.594918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432c101f-d92f-4887-b0d2-2eeb22130f23 · inbound

Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective cites this paper.

Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective Scaling Laws for Linear Complexity Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:49.345780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7e133b-f805-4a35-81f7-064cee55d01d · inbound

Fast and Simplex: 2-Simplicial Attention in Triton cites this paper.

Fast and Simplex: 2-Simplicial Attention in Triton Scaling Laws for Linear Complexity Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.953763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481851f3-5918-4e4d-9d6f-66c7cea9ad12 · inbound

A Systematic Analysis of Hybrid Linear Attention cites this paper.

A Systematic Analysis of Hybrid Linear Attention Scaling Laws for Linear Complexity Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:55.644630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ff954f-3fa7-4c90-b627-9b38406b55cd · inbound

Small transformer architectures for task switching cites this paper.

Small transformer architectures for task switching Scaling Laws for Linear Complexity Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:02:07.446572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20af7bd4-ff35-4eb5-8d5c-9b8d2dfd48a6 · inbound

Unified Neural Scaling Laws cites this paper.

Unified Neural Scaling Laws Scaling Laws for Linear Complexity Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:44:02.762246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.