Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HGRN2: Gated Linear RNNs with State Expansion
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2404.07904.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:22:28.467675Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:28:44.977281Z
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 028141c2-506e-482e-9706-b95408296bc9 · inbound
Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.
Gated Linear Attention Transformers with Hardware-Efficient Training HGRN2: Gated Linear RNNs with State Expansion
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:15:14.178481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3180dd9b-e417-4b83-bb09-9c7aee3395a6 · 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 HGRN2: Gated Linear RNNs with State Expansion
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:16:25.924691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cdfc1606-882b-4c46-9e3a-584d247c356c · inbound
State Space Models are Strong Text Rerankers cites this paper.
State Space Models are Strong Text Rerankers HGRN2: Gated Linear RNNs with State Expansion
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:22:28.467675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb9dc605-5b32-4362-95c2-dfc742b0af19 · inbound
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing cites this paper.
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing HGRN2: Gated Linear RNNs with State Expansion
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:52:33.568763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bd148f1-0b79-4d3e-b370-2b16168f3bca · inbound
An Uncertainty Principle for Linear Recurrent Neural Networks cites this paper.
An Uncertainty Principle for Linear Recurrent Neural Networks HGRN2: Gated Linear RNNs with State Expansion
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:10:15.909661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53e3cf3f-bd85-4455-9a3e-65a41694f548 · inbound
Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2 cites this paper.
Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2 HGRN2: Gated Linear RNNs with State Expansion
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:59:50.623523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 573992a7-f2eb-43aa-b04e-c85c2dff66dd · 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 HGRN2: Gated Linear RNNs with State Expansion
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:53:49.949048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd664a8c-0092-49a1-b441-3ec3454ef6ee · inbound
A Survey on Latent Reasoning cites this paper.
A Survey on Latent Reasoning HGRN2: Gated Linear RNNs with State Expansion
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:14:29.778788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f9b6f7c-42b2-4d19-9f4f-fb6d6cc589ad · inbound
Elucidating the Design Space of Decay in Linear Attention cites this paper.
Elucidating the Design Space of Decay in Linear Attention HGRN2: Gated Linear RNNs with State Expansion
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:29:21.596988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b894af1-4bf3-4a35-8a49-af66b2722404 · inbound
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism HGRN2: Gated Linear RNNs with State Expansion
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:05:48.046309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2fc4299c-e2db-4779-aba3-9f49db45f35f · inbound
Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.
Kimi Linear: An Expressive, Efficient Attention Architecture HGRN2: Gated Linear RNNs with State Expansion
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:49:10.756376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4fbf30cf-0485-4cbc-ab7b-b2ff3e879222 · inbound
Selective Rotary Position Embedding cites this paper.
Selective Rotary Position Embedding HGRN2: Gated Linear RNNs with State Expansion
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:40:14.876027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 57230f3d-9378-40cb-8c2f-cebced81accd · inbound
Selective Rotary Position Embedding cites this paper.
Selective Rotary Position Embedding HGRN2: Gated Linear RNNs with State Expansion
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:03:22.534290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2462ea1a-cdd9-4d42-aa05-ab26cce44ba9 · inbound
Test-Time Training with KV Binding Is Secretly Linear Attention cites this paper.
Test-Time Training with KV Binding Is Secretly Linear Attention HGRN2: Gated Linear RNNs with State Expansion
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:41:32.655604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 256821c7-39ac-4d26-bc67-d7e1a707ad25 · inbound
Attention Residuals cites this paper.
Attention Residuals HGRN2: Gated Linear RNNs with State Expansion
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:39:04.421192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f09d6923-58ed-4883-a640-16d130ffb17e · inbound
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control cites this paper.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control HGRN2: Gated Linear RNNs with State Expansion
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:01:23.745730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 09aa5059-09a1-4359-aefd-d3ac460fc2ea · inbound
The Impossibility Triangle of Long-Context Modeling cites this paper.
The Impossibility Triangle of Long-Context Modeling HGRN2: Gated Linear RNNs with State Expansion
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:08.965747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3d723a27-c177-4a9d-bf34-390fced108ca · inbound
Cubit: Token Mixer with Kernel Ridge Regression cites this paper.
Cubit: Token Mixer with Kernel Ridge Regression HGRN2: Gated Linear RNNs with State Expansion
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:10.811375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c8242dce-7d6d-41ea-ac26-ad571e9917a8 · inbound
Cubit: Token Mixer with Kernel Ridge Regression cites this paper.
Cubit: Token Mixer with Kernel Ridge Regression HGRN2: Gated Linear RNNs with State Expansion
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:39:11.022749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 286fdac0-1d10-48d5-83b3-abbc37c78f17 · inbound
Elastic Attention Cores for Scalable Vision Transformers cites this paper.
Elastic Attention Cores for Scalable Vision Transformers HGRN2: Gated Linear RNNs with State Expansion
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:07:22.515060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 11cc2d6a-49c9-4f2f-95bf-a83671a01053 · inbound
SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting cites this paper.
SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting HGRN2: Gated Linear RNNs with State Expansion
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:18:37.510692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2a073cd0-b19c-4d8e-9003-5973ba72f6e0 · inbound
LT2: Linear-Time Looped Transformers cites this paper.
LT2: Linear-Time Looped Transformers HGRN2: Gated Linear RNNs with State Expansion
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:13:59.615527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7fada328-71dc-4991-8818-72c4914f5af7 · inbound
LT2: Linear-Time Looped Transformers cites this paper.
LT2: Linear-Time Looped Transformers HGRN2: Gated Linear RNNs with State Expansion
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:54:57.816696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2af5326e-6c1c-4c7a-8052-81474fca269d · inbound
Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention cites this paper.
Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention HGRN2: Gated Linear RNNs with State Expansion
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T04:54:36.620527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7bf3a3f5-a8fe-4aaa-8b4e-07f072b5ffef · inbound
Universal Time Series Generation with Neural Controlled Differential Equations cites this paper.
Universal Time Series Generation with Neural Controlled Differential Equations HGRN2: Gated Linear RNNs with State Expansion
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:13:30.017761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 06e63161-e187-4f3d-b004-5d4da99d1b39 · inbound
Memory by Design: Probabilistic Sequence Layers cites this paper.
Memory by Design: Probabilistic Sequence Layers HGRN2: Gated Linear RNNs with State Expansion
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:26:12.859084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c413e580-7b36-4bea-888e-fe0e4cf2d629 · inbound
Dynamic Short Convolutions Improve Transformers cites this paper.
Dynamic Short Convolutions Improve Transformers HGRN2: Gated Linear RNNs with State Expansion
Reference 174
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:36:27.001391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a1d64929-c85f-4d00-a050-bcb460179fa0 · 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 HGRN2: Gated Linear RNNs with State Expansion
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:47:59.839072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4f22a659-6728-4a2c-a2ea-e049194f67f6 · inbound
Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI cites this paper.
Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI HGRN2: Gated Linear RNNs with State Expansion
Reference 185
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:28:44.978700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7d24fd88-1556-4edf-a88b-f2fd67fe5c67 · inbound
Morphing into Hybrid Attention Models cites this paper.
Morphing into Hybrid Attention Models HGRN2: Gated Linear RNNs with State Expansion
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:44:28.077887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.