Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2504.03624.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:56.399872Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
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Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 39
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Observation dabbd519-186a-45b3-baf4-f1d6a5b90df9 · inbound
Small Language Models are the Future of Agentic AI Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 9
Source-reported events for the cited work
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Observation 71fa6136-83f6-443a-b622-38d3c3db4ce4 · inbound
OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 2
Source-reported events for the cited work
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Observation 5a3f135e-d9fe-460f-9d69-4d567c577256 · inbound
HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 4
Source-reported events for the cited work
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Observation c01d3a7e-0eb0-45a8-a07b-73a215be7998 · inbound
Short window attention enables long-term memorization Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 25
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Observation 17536ca1-0ea1-4476-ae2f-a8009bac0b87 · inbound
Kimi Linear: An Expressive, Efficient Attention Architecture Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
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Source-reported events for the cited work
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Observation 883b174a-4ea0-469e-a506-d40ae8778cb5 · inbound
NVIDIA Nemotron 3: Efficient and Open Intelligence Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 205
Source-reported events for the cited work
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Observation f6404bbf-51bb-43ec-a211-91422ca79416 · inbound
Hidden State Poisoning Attacks against Mamba-based Language Models Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 2
Source-reported events for the cited work
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Observation 3d7c44da-a732-4de0-81b4-b7cb2e36a795 · inbound
Mambalaya: Einsum-Based Fusion Optimizations on State-Space Models Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 9
Source-reported events for the cited work
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Observation 9823b325-7a16-4774-98ef-668996788a65 · inbound
Mambalaya: Einsum-Based Fusion Optimizations on State-Space Models Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 8
Source-reported events for the cited work
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Observation 4ff5209c-b817-4fc9-abd6-55619ffb352f · inbound
ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 5
Source-reported events for the cited work
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Observation 3272de96-d2b1-4ad2-8420-0062f94eba19 · inbound
The Impossibility Triangle of Long-Context Modeling Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 5
Source-reported events for the cited work
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Observation d13e5201-8000-4b0d-aa18-07e5f85763b9 · inbound
VibeServe: Can AI Agents Build Bespoke LLM Serving Systems? Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 56
Source-reported events for the cited work
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Observation f522e30f-ce27-4519-89ce-dd598363088d · inbound
ModelLens: Finding the Best for Your Task from Myriads of Models Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 48
Source-reported events for the cited work
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Observation 59fe2bc6-75da-444a-8474-20c9a917986b · inbound
Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 14
Source-reported events for the cited work
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Observation 2286e130-1caf-419c-b377-6568736c2240 · inbound
HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 3
Source-reported events for the cited work
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Observation b387206a-3673-41b1-9161-664b978492c4 · inbound
DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 69
Source-reported events for the cited work
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Observation b6a66969-09da-4c5d-abe2-55f53d2f5bcd · inbound
The Routing and Filtering Structure of Attention Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 2
Source-reported events for the cited work
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Observation e41bca02-35bd-4e5c-ae35-db6a790cf236 · inbound
Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 6
Source-reported events for the cited work
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Observation d5ae584b-4d54-4a35-9c2b-ebc188c1c58c · inbound
Forget Attention: Importance-Aware Attention Is All You Need Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 23
Source-reported events for the cited work
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Observation 604a708f-fc92-4608-9414-ed8786d7ab47 · inbound
MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 47
Source-reported events for the cited work
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Observation a6bafb7b-3bef-48f9-9710-a5b9b38345ea · inbound
MOSAIC: A Workload-Driven Simulation and Design-Space Exploration Framework for Heterogeneous NPUs Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 32
Source-reported events for the cited work
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Observation 4dd3401d-99c4-49b3-b6e0-456bce1775b3 · inbound
Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 4
Source-reported events for the cited work
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Observation 253d5645-3a5c-412f-a1e7-6a484d5d36be · inbound
Morphing into Hybrid Attention Models Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 7
Source-reported events for the cited work
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Observation a96aabe7-bf1e-4063-b703-71fd9a84e2ce · inbound
Unified Audio Intelligence Without Regressing on Text Intelligence Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 221
Source-reported events for the cited work
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Observation 89721c97-d47b-44a4-80d1-7f33b44e81c8 · inbound
Unified Audio Intelligence Without Regressing on Text Intelligence Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 221
Source-reported events for the cited work
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Observation d9d6e979-cc5d-4844-9eec-ec81f731ee8d · inbound
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Reference 60
Source-reported events for the cited work
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Observation c02f6b85-fdc7-4150-8861-41a313870a94 · inbound
A Sovereign, Open-Source Foundation Model for German and English Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 60
Source-reported events for the cited work
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Observation db04f6a8-c43c-4098-b3b3-e207b1c96340 · inbound
A Sovereign, Open-Source Foundation Model for German and English Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 60
Source-reported events for the cited work
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Observation 2a5e04d6-aeec-4bf9-b324-0a58a9fc8614 · inbound
The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 5
Source-reported events for the cited work
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Observation 9ed1622f-785c-4af7-ac0e-ad3782ea68ee · inbound
The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 5
Source-reported events for the cited work
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Observation b852a0db-a10b-4374-b161-84fe4122c301 · inbound
SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 46
Source-reported events for the cited work
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Observation ca86e092-437b-4d4c-8cc9-37fbae4c9e3b · inbound
Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 7
Source-reported events for the cited work
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