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Paper Citation Record · LEDGER

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 inbound Pith citation observations for arXiv:2406.07522.

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

pith.paper-citation-record.v1
2406.07522 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:30.499578Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 17681963-4592-4dff-bf71-d0fc8d236b48 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 156

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arxiv_id, observed 2026-05-23T22:13:30.589470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:d75446fca0ba3ecc2e5c36c00bcfd8a0eadfc3aad05d940fb3cd119aff955735

Observation 36a6edb2-9ea8-40f7-8f2a-0ad9df9c4855 · inbound

Hymba: A Hybrid-head Architecture for Small Language Models cites this paper.

Hymba: A Hybrid-head Architecture for Small Language Models Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 7

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source=pdf_text observed=2026-08-12T16:20:32.321340Z digest=sha256:fef342930354c3f307b1a92a11f2516df5e5c5d41984652e86dc3043b690a292

Observation b56b1253-ccd6-4f37-b418-c795b80004f5 · inbound

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation cites this paper.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 40

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source=pdf_text observed=2026-08-12T15:54:43.941683Z digest=sha256:6f1acec15a9fa2a95623af8785602b6cc46452c6695753fc228e61a83428f000

Observation 5a23cab4-3ef8-48e7-8126-2bb5f0a57036 · inbound

MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series cites this paper.

MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 59

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source=pdf_text observed=2026-08-12T13:02:19.571660Z digest=sha256:381db2978da3711784de404550b9e4aae0c6584d49ff9dbc6bc622e0ffec4cfb

Observation f8a2edbf-8793-4fe6-ad50-14da3cafa814 · inbound

Attamba: Attending To Multi-Token States cites this paper.

Attamba: Attending To Multi-Token States Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 16

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no resolver link, observed 2026-08-12T11:56:33.078992Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:56:33.078992Z digest=sha256:7c0f2ca1580d5b4f60275ce710cf33aebd8ec6fee8388df211cdce8e9d43d7db

Observation 42277c9a-040e-488c-8d97-83411a9df47b · inbound

Marconi: Prefix Caching for the Era of Hybrid LLMs cites this paper.

Marconi: Prefix Caching for the Era of Hybrid LLMs Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:19:00.173116Z digest=sha256:058d8fbe8937b414fa5c92fd05fc2db1b496e75e3f1764bc3c6612a7cd25db7c

Observation 394572c4-2cf3-4c0e-b9c2-57989059a4f5 · inbound

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity cites this paper.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 43

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source=pdf_text observed=2026-08-11T16:43:08.406817Z digest=sha256:9de203e570678ea1a692d04e9065d7c13dead4b66ed26a5c0e08a89e23d4c89a

Observation 29a83bbc-d42d-4b59-bbcb-c2afd0f2da53 · inbound

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

Titans: Learning to Memorize at Test Time Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 89

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arxiv_id, observed 2026-05-14T22:08:15.390338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T22:08:14.982302Z digest=sha256:367d81ffffe479ce8e9a2fb1a081f0ac437c42d720d7ac5629755ba7ae788d09

Observation 7fe7f344-838c-4851-87e7-69d5433c02a2 · inbound

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions cites this paper.

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 22

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source=pdf_text observed=2026-08-10T16:26:51.269633Z digest=sha256:6dd772ecd967712f9bde7af69a539df375056b27c4e5160bedaf3dc71aba87a9

Observation 339ae241-9a41-4f7a-9c8e-ecafd7c78a05 · 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 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 21

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no resolver link, observed 2026-08-08T12:25:42.711865Z

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source=pdf_text observed=2026-08-08T12:25:42.711865Z digest=sha256:cfc6042a56007a2f61fc0d5f4c81d5c92e31c70847f007f84753da41227bde1d

Observation 811b5b02-6556-4bf2-8e05-dcec8c75248e · inbound

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization cites this paper.

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 70

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:19:30.499578Z digest=sha256:b88ef7a403b90ae5c7daf9b4b1aceca2c78a0f7e400a9e8e4e29f77db6661d9f

Observation a767c654-e658-4110-bf3e-973bc512b0e8 · inbound

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism cites this paper.

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:17:29.429018Z digest=sha256:7135e22340372ebc8e07370dc45bec2cb56819f4452badb354a0d370b67c5f15

Observation 4ccb719e-0450-4b45-9104-d97ea4908ed5 · inbound

Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation cites this paper.

Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 25

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source=arxiv_source observed=2026-08-15T23:56:22.099611Z digest=sha256:5bf34f9aac4f5d8ff2c2fe97bccad67ef10466da1c3af43ae5c641d1c34a535f

Observation 38ed34b6-f46b-4a6b-afda-7c1dc8ab06af · inbound

Overflow Prevention Enhances Long-Context Recurrent LLMs cites this paper.

Overflow Prevention Enhances Long-Context Recurrent LLMs Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 55

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:58.815331Z digest=sha256:18f1be3f239d85e14de7652a1a4b7605ef4fc7d01ead0c6dd53738cdb79fc6cf

Observation 4666ba30-0ddc-4635-8118-c16861fce410 · inbound

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks cites this paper.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.526655Z digest=sha256:6b661b2c493d09590c4fd5493978b38ec0371aa80a2da1e4d2eccaaa957423e8

Observation 18fd7d6d-d3fd-413a-840d-280a2be88e76 · inbound

Long-Context State-Space Video World Models cites this paper.

Long-Context State-Space Video World Models Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 54

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:03:19.068672Z digest=sha256:20df64cfa7deb6f93d71b710e6f4c26af167e69d125def1d0f0a67920dff17c6

Observation f1eaacc1-e7b1-4749-876b-ef971285a3f2 · inbound

RAD: Redundancy-Aware Distillation for Hybrid Models via Self-Speculative Decoding cites this paper.

RAD: Redundancy-Aware Distillation for Hybrid Models via Self-Speculative Decoding Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:30.608844Z digest=sha256:71e6e5ed8fac99627834a347f7dd799389dbc08290a6070a4b378a755b3f0014

Observation d8217d6e-6a6e-4252-8ef6-aa80903612cd · inbound

ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.

ATLAS: Learning to Optimally Memorize the Context at Test Time Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 65

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source=pdf_text observed=2026-08-07T12:44:20.430533Z digest=sha256:a1eac782a457993bec16f477cbaaf8f1314c28f3c3e7e71a765db815e6029053

Observation c20b2571-24fe-4f0a-8c43-4f5d0a729026 · inbound

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention cites this paper.

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 49

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source=arxiv_source observed=2026-08-07T04:58:53.560687Z digest=sha256:d3fdafebe6bb319b5ec1a15397379e9e911feed58658ac46bc2871f8e9439171

Observation ac6178bb-e10d-4ae7-97d6-0ba683e90d2a · inbound

MT-PCR: Hybrid Mamba-Transformer Network with Spatial Serialization for Point Cloud Registration cites this paper.

MT-PCR: Hybrid Mamba-Transformer Network with Spatial Serialization for Point Cloud Registration Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 36

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arxiv_id, observed 2026-05-19T10:02:14.443662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T09:57:27.513467Z digest=sha256:09e2829f4e5f25e11e27b74393a1951ea844a41446e472ffb5145aa6da81515b

Observation 2abd9990-72fc-4936-8a72-533e2a802a8a · inbound

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention cites this paper.

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 29

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arxiv_id, observed 2026-05-12T09:28:16.474483Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T09:28:16.189617Z digest=sha256:2d1355021103acab0f5ccef9503fc525867cea5c1249844882af9df49ba28c34

Observation 30f7755b-eb4d-44ce-b16b-f869de9c78ce · inbound

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection cites this paper.

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 39

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source=pdf_text observed=2026-08-06T23:28:48.482116Z digest=sha256:386fa1ec9273cc6ae97386937e41136e1ef9db7c560769de132b6c378cb02957

Observation 393867cb-602c-4308-bba1-113d0c510b64 · inbound

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance cites this paper.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 90

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source=arxiv_source observed=2026-08-06T11:44:05.118331Z digest=sha256:344d9c83c3c66554f2bf8e97de79ed5de7517bbed0f8bbc73226a3cb46c2262a

Observation db146689-26c6-4744-b3b2-cd40b4767e83 · inbound

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers cites this paper.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 12

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source=pdf_text observed=2026-08-05T13:07:40.851777Z digest=sha256:367aa28a8608be73fccc385b86b16f43976bd64fc7341c2a0d821ff1f9ed2a8d

Observation 59b2d2e6-6d40-44a0-bb88-56b75c49521f · inbound

Short window attention enables long-term memorization cites this paper.

Short window attention enables long-term memorization Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 28

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arxiv_id, observed 2026-05-18T12:11:21.803150Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T12:10:42.646127Z digest=sha256:8e611fc65a34a54adb8d11dd995c96c5ceff25e6e12da7ff05de7eb9a4d9fc75

Observation 3d82ea6a-2bd8-4d09-aba2-9aff02c3759c · inbound

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

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 47

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arxiv_id, observed 2026-05-18T10:21:14.949986Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T10:18:04.431436Z digest=sha256:aaae20ca6624e54d4ec7efc704b53ad19d0d3ade30e45950a98416e6ad3e1c3f

Observation ceb7e545-61e8-47da-8e6e-7e2d06eedcce · inbound

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 30

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arxiv_id, observed 2026-05-18T03:05:48.092446Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T03:05:06.069642Z digest=sha256:70f5c7a575aa01489ff9423665ee05ae90f129a448ee0585f7b4ee9a9cd9a0a3

Observation f4a09944-e6fe-4bfd-bce0-5b698df06ae4 · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 50

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source=pdf_text observed=2026-08-03T15:22:52.134717Z digest=sha256:416d2a05bf13299bcccbe3a8ee6e711ecad5a3db37f7ecfe0b179d0ab0c31d76

Observation bcfd5f64-3f71-4475-a5bd-7434c8da849e · inbound

Hidden State Poisoning Attacks against Mamba-based Language Models cites this paper.

Hidden State Poisoning Attacks against Mamba-based Language Models Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 14

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arxiv_id, observed 2026-05-16T18:18:14.475365Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T18:15:05.108462Z digest=sha256:33519a8f02713cf0adbb5c6a6475ae1e18998867f63e20d9514dfabfbcb2ad76

Observation 068276b2-d6b2-49bf-a359-2c27da520928 · inbound

Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction cites this paper.

Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 31

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source=pdf_text observed=2026-08-03T10:12:43.479932Z digest=sha256:54b5d904151446e4ff0e2e22d20327712cc41d964cd955c8ec315b9029ee600b

Observation 6dbd1192-92f5-4530-b7c5-08b399574af6 · inbound

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning cites this paper.

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 28

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source=pdf_text observed=2026-07-15T12:09:16.468055Z digest=sha256:796417d118e167551cd5f650026cbe163610b0cbd625a0bd3e556cd3e824b19d

Observation 11731cad-d2aa-4f44-8e1f-a6880fe5e650 · inbound

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling cites this paper.

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 30

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arxiv_id, observed 2026-05-15T11:39:59.339821Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T11:35:43.088803Z digest=sha256:4f5f5d6fbff8386015435aa8403a4e300c907889659774c9495f3fd31b14139a

Observation e45ccd89-b03e-47a8-9cc2-e54d2c3f802f · inbound

Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling cites this paper.

Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 41

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arxiv_id, observed 2026-05-11T22:01:10.720774Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T03:39:37.485602Z digest=sha256:5922dd74519392320eb084a75a29652236ec357b8aee8d59c18551feb136158c

Observation 9ae97bb7-b02c-4545-ad22-ed8b8a129707 · inbound

Component-Aware Self-Speculative Decoding in Hybrid Language Models cites this paper.

Component-Aware Self-Speculative Decoding in Hybrid Language Models Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 14

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verified exact
arxiv_id, observed 2026-05-11T16:06:40.946554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T18:40:17.017805Z digest=sha256:f4e7a78659ab25d8c2b05f79278a657714caf462e4dee277dc5f08e64fdcd9ff

Observation 71327d78-1428-4729-b0f5-f7493bc37bf5 · inbound

The Impossibility Triangle of Long-Context Modeling cites this paper.

The Impossibility Triangle of Long-Context Modeling Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-11T17:41:09.072467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T17:17:44.033300Z digest=sha256:bc04b779df11091cba373b437175bc4be09892879fd88b93ec808106a59626a0

Observation 09edc562-4ba9-4796-a270-54d3ebb7c649 · inbound

MambaPanoptic: A Vision Mamba-based Structured State Space Framework for Panoptic Segmentation cites this paper.

MambaPanoptic: A Vision Mamba-based Structured State Space Framework for Panoptic Segmentation Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:22:59.567064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-14T21:19:26.445106Z digest=sha256:9935beac2b0ab5e158d9b9aea9695df444470c9ace8a535883bdaf49c2de65b6

Observation 35b34a0c-169c-415d-8c52-580e3a26d259 · inbound

MambaPanoptic: A Vision Mamba-based Structured State Space Framework for Panoptic Segmentation cites this paper.

MambaPanoptic: A Vision Mamba-based Structured State Space Framework for Panoptic Segmentation Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T22:13:47.093493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T22:10:39.040157Z digest=sha256:237f2e4bc8953ed045ed239418927b3360522d6f04f5d467bb67950cc3a91d11

Observation 9ec99304-fc7f-4025-a5dd-1a077410036b · inbound

Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer Inference cites this paper.

Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer Inference Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:31:14.100895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T07:28:35.020478Z digest=sha256:f0b145256c42b681db03079584938cd258897172bdab2e1770805ca9def22999

Observation 8eb0d2e4-f60c-4fe6-8328-569c0b3252e8 · inbound

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference cites this paper.

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T21:43:59.457638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T21:37:51.638904Z digest=sha256:65e59e290bff1a512ac0a5470bce4ae17ef3d53758df4c767d547a3b91e126f5

Observation 9df3f211-9ea8-413f-8347-5e25abf8bb60 · inbound

Forget Attention: Importance-Aware Attention Is All You Need cites this paper.

Forget Attention: Importance-Aware Attention Is All You Need Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:21.033562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T14:38:40.948032Z digest=sha256:4570d7be516f703ac4c32229c4958b706d74e5c25637e82c11c556f6ee6a3622

Observation a6f6a993-83db-4a96-856b-1a590f2c6a01 · inbound

MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency cites this paper.

MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-28T11:42:04.462429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T11:34:24.019560Z digest=sha256:b12a76f6d6de73688495271823f52903e3f63da6fbed5f19757437b0ae8fa524

Observation 53a622e8-4c2e-47b6-a7da-8f0aa70ae4fe · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 140

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:32:46.560099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:1efc3bc1759157785c4e0cf5d1f9d8af42c5c1d561ff7423058e6bc2adaf4632

Observation a5e93a9a-aeec-4e12-9672-d680264f5d24 · inbound

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning cites this paper.

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:48:21.584469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T07:26:58.608421Z digest=sha256:571ef37b68af3f5d74bed09ab32b1c06843c8b2d30407d6e0c442d907ef08413

Observation d36df938-0950-4de7-98d9-8f949b62f877 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 101

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T01:36:44.263469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-10T01:26:59.421158Z digest=sha256:e7cc243b9b66083831789a942ca20bee3545fdd2c7ee1d57bd3ec211e0520c0f

Observation e01df2bf-4ef3-4144-a0f8-ff5e4bf189c8 · inbound

DSSMs: State Space Models with Explicit Memory via Delay Differential Equations cites this paper.

DSSMs: State Space Models with Explicit Memory via Delay Differential Equations Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T13:15:38.524121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:15:38.524121Z digest=sha256:6670a7ec25054621908b9bb264fc42e415f679a0b210ff89af0fc807930b00b5

Observation 6d681382-de16-4ec7-a3f0-87ee610c44c6 · inbound

CS-ETS: Chaos-Inspired Samba-Based EMG-To-Speech Synthesis with Nonlinear Chaotic Losses cites this paper.

CS-ETS: Chaos-Inspired Samba-Based EMG-To-Speech Synthesis with Nonlinear Chaotic Losses Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T14:51:45.680611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:51:45.680611Z digest=sha256:878132598a74d3b04c92f5bb0b10d6f35dbbaa010255d2da054f74ae9facf2c1

Observation 130db0ba-753b-4621-8371-0c81a93b997d · inbound

Scale Weight Decay and Train Better cites this paper.

Scale Weight Decay and Train Better Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-30T12:53:41.105706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:53:41.105706Z digest=sha256:fa43b9e957c5e04d37eeb66afa9c1a1eab1f7aa96b0b0a88a93b00522b5d2e23

Observation 18b80eac-9684-4ca0-9f12-32c618fa7063 · inbound

Raven: High-Recall Sequence Modeling with Sparse Memory Routing cites this paper.

Raven: High-Recall Sequence Modeling with Sparse Memory Routing Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T02:44:01.755790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:44:01.755790Z digest=sha256:9ed28a6e16b762d58197baae269af4b239f16f517ac57f32b5b2fb728c7773e7

Observation af723225-1693-46d8-b55d-f393e7f2feb6 · inbound

Memory for Large Language Models cites this paper.

Memory for Large Language Models Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T02:37:54.180175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:37:54.180175Z digest=sha256:3f17764a9b3e65c13aa5ff4fdd3c8302cb3a2e12f57ac7f58c00cc030b946006

Observation be21c896-e9cf-48b7-b0fa-3d3235a1e5e0 · inbound

Maglev: Sliding Recurrent Memory cites this paper.

Maglev: Sliding Recurrent Memory Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T15:01:30.690224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:01:30.690224Z digest=sha256:6ba434b27a6983fd60574c55f1bee70ecf2919027b8ed6dc2b17aa0d14965033