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Paper Citation Record · LEDGER

Zamba: A Compact 7B SSM Hybrid Model

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 inbound Pith citation observations for arXiv:2405.16712.

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

pith.paper-citation-record.v1
2405.16712 v1

Coverage vector

measured 0 of 0 reference resolution

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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 2026-08-16T06:30:59.297886+00:00

measured 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:29.362835Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 66586453-650b-4276-b4fb-77c64c64192d · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 37

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arxiv_id, observed 2026-05-11T12:16:25.751533Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0fe4345f-dd27-46e0-bc83-0897d7f34008 · inbound

An Empirical Study of Mamba-based Language Models cites this paper.

An Empirical Study of Mamba-based Language Models Zamba: A Compact 7B SSM Hybrid Model

Reference 15

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arxiv_id, observed 2026-05-18T10:31:03.960984Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a1792313-652f-429f-aa5d-e8c81c0e1a57 · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models Zamba: A Compact 7B SSM Hybrid Model

Reference 75

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arxiv_id, observed 2026-05-17T22:58:16.987500Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d8a2bc40-3045-474e-8c87-7f18873356c4 · inbound

PoM: Efficient Image and Video Generation with the Polynomial Mixer cites this paper.

PoM: Efficient Image and Video Generation with the Polynomial Mixer Zamba: A Compact 7B SSM Hybrid Model

Reference 23

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no resolver link, observed 2026-08-12T17:22:47.043825Z

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source=pdf_text observed=2026-08-12T17:22:47.043825Z digest=sha256:c84413e73ed70af25c03b8c0f18890d4a4cfd91a44bec5396c5073e8b0660ccf

Observation 0bf35d70-0d9a-4231-82d4-edfbee70b0c8 · inbound

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

Hymba: A Hybrid-head Architecture for Small Language Models Zamba: A Compact 7B SSM Hybrid Model

Reference 17

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source=pdf_text observed=2026-08-12T16:20:32.379199Z digest=sha256:1c22f56199ba7f6351b81c1790abcdaf28d3d782e4dd160f3681e43f6501ace1

Observation 6a738d32-948e-48aa-a382-1aac2b418727 · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 12

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source=pdf_text observed=2026-08-12T15:54:43.872102Z digest=sha256:7a93b4ab6303a249606422ac68e6defb11da6eea81840370e5927ad3f3832d71

Observation 19166029-e271-4142-a9e1-1b814ee8c439 · inbound

The Zamba2 Suite: Technical Report cites this paper.

The Zamba2 Suite: Technical Report Zamba: A Compact 7B SSM Hybrid Model

Reference 17

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source=arxiv_source observed=2026-08-12T15:04:38.145841Z digest=sha256:1442e48eaa34f5672f3ae232ecc466272fa86c28c03341822f45545a1ca41dab

Observation f404d1f7-6cf8-4c03-aaf0-edd0d8b304e5 · inbound

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

Marconi: Prefix Caching for the Era of Hybrid LLMs Zamba: A Compact 7B SSM Hybrid Model

Reference 11

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no resolver link, observed 2026-08-12T10:19:00.116874Z

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Observation 5f225b63-69b9-4ea9-b4b8-18736b566bb1 · inbound

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models cites this paper.

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models Zamba: A Compact 7B SSM Hybrid Model

Reference 14

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source=arxiv_source observed=2026-08-11T13:17:49.949758Z digest=sha256:ba0787da33bac8306fc51a16e2ddc1d145ed2203e53ab97a80615ae9629faa98

Observation b877c0ab-3fe2-4135-9a25-eb18fea80fc4 · inbound

State Space Models are Strong Text Rerankers cites this paper.

State Space Models are Strong Text Rerankers Zamba: A Compact 7B SSM Hybrid Model

Reference 21

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Observation 33daa8fa-c889-4b9e-a905-4d27fd79c469 · inbound

Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining cites this paper.

Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining Zamba: A Compact 7B SSM Hybrid Model

Reference 16

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source=arxiv_source observed=2026-08-11T12:34:16.628386Z digest=sha256:7a8bc94f07fdfcfa545b81d8aa838cb34e33ee29b80bea7c7427de5da4dfc7de

Observation ce48b671-ca6c-45b9-9e42-0412d7cc3836 · inbound

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG cites this paper.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Zamba: A Compact 7B SSM Hybrid Model

Reference 31

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Observation e180b0e9-9e3d-419f-914c-ce3057c032ed · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 2022

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Observation 871305e0-ce93-49b2-9682-626518cb6722 · inbound

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling cites this paper.

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling Zamba: A Compact 7B SSM Hybrid Model

Reference 20

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arxiv_id, observed 2026-05-23T02:32:25.754226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fed10c69-a309-4301-91f3-be4cfbb9f309 · inbound

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba cites this paper.

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba Zamba: A Compact 7B SSM Hybrid Model

Reference 67

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arxiv_id, observed 2026-05-22T22:12:11.723920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 10a14136-eb73-42ac-b0b6-5ec193d430d9 · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 19

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source=arxiv_source observed=2026-08-16T11:17:29.362835Z digest=sha256:e72a1ab925c2bd20e1229e7c2ebaaa9da9abcc2ac9b306de3c3d3a6226355d74

Observation 3d0686c8-79b8-4cb1-ad91-0e6fd608ab52 · inbound

Quantifying Memory Utilization with Effective State-Size cites this paper.

Quantifying Memory Utilization with Effective State-Size Zamba: A Compact 7B SSM Hybrid Model

Reference 25

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Observation 6ff56a99-6e2f-4f0d-97d8-534d6aa0fc50 · inbound

RWKV-X: A Linear Complexity Hybrid Language Model cites this paper.

RWKV-X: A Linear Complexity Hybrid Language Model Zamba: A Compact 7B SSM Hybrid Model

Reference 6

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Observation 10680adf-502b-468a-802e-fa5f7ad8fe13 · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 15

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Observation 00105b00-2053-4aee-8bf6-8b37ef7c0782 · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 23

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Observation 9654d861-6642-4b76-88b4-5557070304b0 · inbound

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

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Zamba: A Compact 7B SSM Hybrid Model

Reference 10

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arxiv_id, observed 2026-05-12T09:28:16.320560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4bf17fc8-973d-4244-92be-3a9a39845fa9 · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 38

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Unavailable: canonical work link unavailable.

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Observation dd7805ad-8826-4928-8e6d-86b2b17f6d7a · inbound

SpikingBrain: Spiking Brain-inspired Large Models cites this paper.

SpikingBrain: Spiking Brain-inspired Large Models Zamba: A Compact 7B SSM Hybrid Model

Reference 10

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arxiv_id, observed 2026-05-18T18:51:45.821113Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8a9f9172-58e4-4bf4-993f-7ea089a8ce94 · inbound

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs cites this paper.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Zamba: A Compact 7B SSM Hybrid Model

Reference 19

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Observation 4e6f487d-ed67-4d1b-a7f1-4a5432704222 · inbound

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression cites this paper.

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression Zamba: A Compact 7B SSM Hybrid Model

Reference 17

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arxiv_id, observed 2026-05-21T18:00:27.048157Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 57a65f30-e917-4f01-8519-89738a4bfd59 · inbound

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

Hidden State Poisoning Attacks against Mamba-based Language Models Zamba: A Compact 7B SSM Hybrid Model

Reference 6

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arxiv_id, observed 2026-05-16T18:18:14.529121Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3d9adff0-c827-411b-ac9a-e6e1f308b286 · inbound

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

Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction Zamba: A Compact 7B SSM Hybrid Model

Reference 15

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Observation 8a339f8f-562c-4d51-afc2-97b15f311a07 · inbound

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models cites this paper.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Zamba: A Compact 7B SSM Hybrid Model

Reference 8

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arxiv_id, observed 2026-05-16T11:50:52.818598Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation adf46826-38d7-4045-b2e1-99b344d3a2e1 · inbound

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer cites this paper.

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer Zamba: A Compact 7B SSM Hybrid Model

Reference 25

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arxiv_id, observed 2026-05-10T23:05:49.199894Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 668708b7-38ad-450c-9404-a53080605306 · inbound

The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency cites this paper.

The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency Zamba: A Compact 7B SSM Hybrid Model

Reference 6

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arxiv_id, observed 2026-05-11T06:11:00.998112Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11d4258f-62c4-4252-b8e4-5d21d64a8a8b · inbound

A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models cites this paper.

A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models Zamba: A Compact 7B SSM Hybrid Model

Reference 7

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arxiv_id, observed 2026-05-10T14:25:29.263873Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3ce52ea1-c075-43ff-841b-3a0ff041b7f2 · inbound

HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models cites this paper.

HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models Zamba: A Compact 7B SSM Hybrid Model

Reference 6

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arxiv_id, observed 2026-05-11T19:16:09.945878Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f375c9b3-ad90-413a-996d-556984544200 · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 15

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arxiv_id, observed 2026-05-11T22:01:10.764913Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d64e0908-c1d7-4d39-b05e-1c5db13065b0 · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report Zamba: A Compact 7B SSM Hybrid Model

Reference 114

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arxiv_id, observed 2026-05-11T17:26:05.141947Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fd38ec43-0b00-4e6a-a7ac-f512d67849b6 · inbound

Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control cites this paper.

Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control Zamba: A Compact 7B SSM Hybrid Model

Reference 13

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arxiv_id, observed 2026-05-11T04:50:55.092949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T01:03:28.231935Z digest=sha256:3b2ed230f61c2943278689acfc7d352523fa75fb86d57db9155fba6f7ea50d2f

Observation 1cabd8dc-b39d-40ab-81f7-05a3ffbb71d6 · inbound

Priming: Hybrid State Space Models From Pre-trained Transformers cites this paper.

Priming: Hybrid State Space Models From Pre-trained Transformers Zamba: A Compact 7B SSM Hybrid Model

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:21:24.308739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T01:14:01.584159Z digest=sha256:201fb73fe5e103f626aef570e392999ded98cf6e001e1ab273b5f5b72d0cb306

Observation e21dacf3-2bbe-4fe0-830d-35fa4ae0ee99 · inbound

Mixture of Layers with Hybrid Attention cites this paper.

Mixture of Layers with Hybrid Attention Zamba: A Compact 7B SSM Hybrid Model

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:51:30.470644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T03:51:24.779108Z digest=sha256:0b434424b9a72039dd1de5426eb1874c2625e40c76f650699a36b6315379fe08

Observation 532fb9b7-f140-4b55-9b32-7302f87ea9c1 · inbound

The Routing and Filtering Structure of Attention cites this paper.

The Routing and Filtering Structure of Attention Zamba: A Compact 7B SSM Hybrid Model

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:09:07.715921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T22:04:15.518405Z digest=sha256:909cbfbb5876ef500005c5970a4e0f863c1c9ac905d0ef407a2166b39f3b633c

Observation cfa8b209-0fdf-428a-a347-f5b1453a8e57 · inbound

Zamba2-VL Technical Report cites this paper.

Zamba2-VL Technical Report Zamba: A Compact 7B SSM Hybrid Model

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:26:00.728589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T22:34:20.970856Z digest=sha256:fb0954fc69d4bbf260954d4f6acba03edac7d61b46f3f7a357db33c45f5fe1dc

Observation 40a2afd8-faf8-4034-8684-2bdb39296be9 · inbound

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

Forget Attention: Importance-Aware Attention Is All You Need Zamba: A Compact 7B SSM Hybrid Model

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:21.008330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T14:38:40.948032Z digest=sha256:bc2eaa9057d3e80754d157f08a06d604c12d43b9743e4a2ac7df27baeb340a31

Observation 759e9971-1950-4a8e-b273-655e6239a1f4 · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T11:42:04.483147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-28T11:34:24.019560Z digest=sha256:4185eb5fb4f6859dca0cb3307b0091b08d3c2f40977589f17b7ec4df467bca60

Observation ab9c95ad-474c-45a9-81c3-53942e80c746 · inbound

On Subquadratic Architectures: From Applications to Principles cites this paper.

On Subquadratic Architectures: From Applications to Principles Zamba: A Compact 7B SSM Hybrid Model

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-27T10:30:51.635073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T10:27:34.213676Z digest=sha256:63d278a716e7e603f70ccd82cab3858c3437048d9c1be4e70b4323d2f7418326

Observation 9c697884-8f30-41e3-890c-103d41f4ffbf · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Zamba: A Compact 7B SSM Hybrid Model

Reference 139

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T18:40:03.260967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-25T22:37:15.072758Z digest=sha256:4b6719f59cba34b2e973057237f590f6a38b45938f39af60c05126f7904cf9d3

Observation e3df59c2-443b-4a06-8b26-651bb4bef7d3 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Zamba: A Compact 7B SSM Hybrid Model

Reference 139

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T18:15:59.060402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-29T02:07:31.791835Z digest=sha256:f6e833fa6c9a0e1b03297da0db4d423e8f78f9f9d4fa9a4a1f71c5ac344adad7

Observation 1e300dd8-4d6c-453a-9656-bca6e1ef25c9 · inbound

Morphing into Hybrid Attention Models cites this paper.

Morphing into Hybrid Attention Models Zamba: A Compact 7B SSM Hybrid Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:44:28.050046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T05:56:51.447893Z digest=sha256:c037c87988c6b41a12f2d58f1256f6e5f4110903acb575736ac10d202399bf8a

Observation 6a4d9e93-d363-48ab-bc0e-47a33dc73e5c · 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 Zamba: A Compact 7B SSM Hybrid Model

Reference 3

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=sha256:3b0a229e8d417bf55356b4b15f8db06b346332cf668ddc086d1b4a3370db8093

Observation 348b8496-4eb1-4a12-bc1c-a7ad86cfd79c · inbound

The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale cites this paper.

The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale Zamba: A Compact 7B SSM Hybrid Model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T06:39:21.572021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:39:21.572021Z digest=sha256:278ec65d3d0037f0e70c6fbc2f7b2892af11790f1923b87e52fd2c44e88003b2

Observation b2dbdd2c-6902-45d6-8731-d53428c90e53 · inbound

The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale cites this paper.

The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale Zamba: A Compact 7B SSM Hybrid Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T02:03:23.185136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:03:23.185136Z digest=sha256:8f3ed1bb103e190039ffce8dc80d6dabf5fafa1d0e72b6404a27cc7c9e951a1e

Observation ff284577-60ce-4da5-a50b-d5446d989e97 · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution Zamba: A Compact 7B SSM Hybrid Model

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-01T09:52:01.905828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:52:01.905828Z digest=sha256:91f06f1def9325df633c42eb1cdffa7656d96612943785daea4fea047c041af7

Observation 0dc0081a-e71a-46bd-9e91-054b53168889 · inbound

DART: Decoded Attention over Recurrent States for Efficient Long-Context Sequence Modeling cites this paper.

DART: Decoded Attention over Recurrent States for Efficient Long-Context Sequence Modeling Zamba: A Compact 7B SSM Hybrid Model

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T16:23:13.534743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:23:13.534743Z digest=sha256:105a5755cd7ddf638f8046a702743d1b6d59b67e8fa32814a4b9be8b1fbcbe95