Paper Citation Record · LEDGER

Liger: Linearizing Large Language Models to Gated Recurrent Structures

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.01496.

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

pith.paper-citation-record.v1
2503.01496 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:46.813241Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T01:45:50.818008Z

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 cc375e24-1f4e-4dbb-818b-8f96341d2f05 · inbound

TPTT: Transforming Pretrained Transformers into Titans cites this paper.

TPTT: Transforming Pretrained Transformers into Titans Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:46.813241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d333940-bf40-4f2b-afb4-b07a5c7bad73 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:27.612663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ba0507-9e89-4688-b5dc-74ef93de9fe9 · inbound

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights cites this paper.

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:21:14.936494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41f191aa-887b-4a77-a4c0-0843758cf62a · inbound

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

Kimi Linear: An Expressive, Efficient Attention Architecture Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:49:11.189920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81c407de-d5eb-4996-a000-0d1e1d3fdf61 · inbound

Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning cites this paper.

Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:47:59.836594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f97b8acd-2ee9-411c-82fc-d1f741cc0eb9 · inbound

Morphing into Hybrid Attention Models cites this paper.

Morphing into Hybrid Attention Models Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:44:28.046828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation badf63e4-9b46-4040-a5a1-e340e75d872e · inbound

The Key to Going Linear: Analysis-Driven Transformer Linearization cites this paper.

The Key to Going Linear: Analysis-Driven Transformer Linearization Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-09T01:45:50.819522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6cd15d77-fbb2-4a15-b726-fee18ee32296 · inbound

GLIDE: Guided Layerwise Hybrid Attention for Efficient LLM Inference cites this paper.

GLIDE: Guided Layerwise Hybrid Attention for Efficient LLM Inference Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:52:43.322854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.