Paper Citation Record · LEDGER

The Zamba2 Suite: Technical Report

As of 21 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 18 inbound Pith citation observations for arXiv:2411.15242.

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

pith.paper-citation-record.v1
2411.15242 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:04:38.340700Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:19.730935Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.205634Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy11
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f00b46be-ea73-427a-a9d6-7762a9df72ad · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

The Zamba2 Suite: Technical Report Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.061391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f55f682-927c-4488-8b49-ae682b886d55 · outbound

This paper cites The Case for Co-Designing Model Architectures with Hardware.

The Zamba2 Suite: Technical Report The Case for Co-Designing Model Architectures with Hardware

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.067249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d9f0a63-8fcc-4ed0-93a6-81facd1e6cd4 · outbound

This paper cites The Zyphra Cookbook.

The Zamba2 Suite: Technical Report The Zyphra Cookbook

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:39.072906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d7a1a0f-575b-4ede-a48c-d725ed0499a8 · outbound

This paper cites BlackMamba: Mixture of Experts for State-Space Models.

The Zamba2 Suite: Technical Report BlackMamba: Mixture of Experts for State-Space Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.076559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e16033e-57cd-4036-adc5-de9bba97386a · outbound

This paper cites Infinity instruct.

The Zamba2 Suite: Technical Report Infinity instruct

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:39.059796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7aa2cad-7a8d-42cc-b9d8-b5c28355f71d · outbound

This paper cites Orca dpo pairs.

The Zamba2 Suite: Technical Report Orca dpo pairs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:39.047938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 659a3b3d-41c5-458b-888d-a765d68b6739 · outbound

This paper cites Does your data spark joy? Performance gains from domain upsampling at the end of training.

The Zamba2 Suite: Technical Report Does your data spark joy? Performance gains from domain upsampling at the end of training

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.090863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0700ba3e-c107-4830-a417-a584e7d217bf · outbound

This paper cites NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation.

The Zamba2 Suite: Technical Report NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.095727Z

Source-reported events for the cited work

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Observation 3d138598-0cf9-40e2-bfda-0cd2d6ea809e · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

The Zamba2 Suite: Technical Report Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.100356Z

Source-reported events for the cited work

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Observation 3ca05d15-4022-4934-9873-d2f98fecd010 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

The Zamba2 Suite: Technical Report UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.106540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0543c93-2e3d-4e0f-9989-b4712460724d · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

The Zamba2 Suite: Technical Report Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.111469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10470e39-fe44-44f0-8881-33d378f8c3af · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

The Zamba2 Suite: Technical Report LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.117430Z

Source-reported events for the cited work

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Observation 087a5292-9bcf-4f89-90e7-ebd0a0727092 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

The Zamba2 Suite: Technical Report QLoRA: Efficient Finetuning of Quantized LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.123088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8ddb45-74cc-4920-b303-3442d236b5a6 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

The Zamba2 Suite: Technical Report Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.128772Z

Source-reported events for the cited work

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Observation f9183024-6e2a-4b74-9157-a597f796fad4 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

The Zamba2 Suite: Technical Report Gemma 2: Improving Open Language Models at a Practical Size

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.136654Z

Source-reported events for the cited work

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Observation 795ceaf5-aca0-4c27-91d3-469bc7ec9eae · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

The Zamba2 Suite: Technical Report Gemma: Open Models Based on Gemini Research and Technology

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.141255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Zamba: A Compact 7B SSM Hybrid Model.

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

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.145841Z

Source-reported events for the cited work

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Observation e8e56229-3e78-4b5f-94db-5c6c6dd112ab · outbound

This paper cites Is mamba capable of in-context learning?, 2024.

The Zamba2 Suite: Technical Report Is mamba capable of in-context learning?, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:39.028684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eaca669c-6221-467a-92d1-4f97bab80ebc · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

The Zamba2 Suite: Technical Report Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.155927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420d9e9f-d01b-4d47-b59e-955e53bf6671 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

The Zamba2 Suite: Technical Report Deep Learning Scaling is Predictable, Empirically

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.162171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb1c95e-dfbf-49c9-bb8f-1403ac446aa6 · outbound

This paper cites Long short-term memory.

The Zamba2 Suite: Technical Report Long short-term memory

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.167743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e1a6d3-6ff1-4d60-897a-64651ed071e0 · outbound

This paper cites Rae, Oriol Vinyals, and Laurent Sifre.

The Zamba2 Suite: Technical Report Rae, Oriol Vinyals, and Laurent Sifre

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.171891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9572ef53-6785-4704-853a-1ea751f0f3c6 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

The Zamba2 Suite: Technical Report LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.175619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e85111f-2d89-4e33-ab98-78db6aad6200 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

The Zamba2 Suite: Technical Report MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.179971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab5d780-c318-4b77-af36-a9c77c807496 · outbound

This paper cites Open Hermes Preferences.

The Zamba2 Suite: Technical Report Open Hermes Preferences

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:39.001125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f013f16e-9803-4efe-9f5e-55e1b6ac7ed8 · outbound

This paper cites Simple and Scalable Strategies to Continually Pre-train Large Language Models.

The Zamba2 Suite: Technical Report Simple and Scalable Strategies to Continually Pre-train Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.188161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80869967-a21b-43ce-a84b-a79f289dd0ed · outbound

This paper cites Jamba-1.5: Hybrid Transformer-Mamba Models at Scale.

The Zamba2 Suite: Technical Report Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.192137Z

Source-reported events for the cited work

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Observation 79019d00-09d1-40fe-9bff-9e3b13b27ba1 · outbound

This paper cites Mistral 7B.

The Zamba2 Suite: Technical Report Mistral 7B

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.196420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd60478a-b3a3-43af-ad06-835acc4ff766 · outbound

This paper cites Scaling Laws for Neural Language Models.

The Zamba2 Suite: Technical Report Scaling Laws for Neural Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.201749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387a1834-3768-40d8-a72c-6c083bd5895f · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

The Zamba2 Suite: Technical Report Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.206228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1786eae4-4b92-454b-8120-0a7f5ea9a661 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

The Zamba2 Suite: Technical Report Adam: A Method for Stochastic Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.210067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c58b1e88-0104-48f8-b17c-3c40b654cebe · outbound

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

The Zamba2 Suite: Technical Report DataComp-LM: In search of the next generation of training sets for language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.213896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e3c0a4-a387-4e69-8ba9-d53eddb36ec7 · outbound

This paper cites StarCoder: may the source be with you!.

The Zamba2 Suite: Technical Report StarCoder: may the source be with you!

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.217913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfc7f9a2-0172-417a-bc77-5e4cea1a7031 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

The Zamba2 Suite: Technical Report Textbooks Are All You Need II: phi-1.5 technical report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.222534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19dbd74-0413-4c82-9c39-c812d4e8979b · outbound

This paper cites Openorca: An open dataset of gpt augmented flan reasoning traces.

The Zamba2 Suite: Technical Report Openorca: An open dataset of gpt augmented flan reasoning traces

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:38.975199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40576ec4-3af7-4ae4-9c0c-ca084231e763 · outbound

This paper cites Jamba: A hybrid transformer-mamba language model, 2024.

The Zamba2 Suite: Technical Report Jamba: A hybrid transformer-mamba language model, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.231014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5ff820-a1c6-40c3-ae10-71223d84c5b8 · outbound

This paper cites The Llama 3 Herd of Models.

The Zamba2 Suite: Technical Report The Llama 3 Herd of Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.235078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a634bdbb-fba2-4b7b-8ae7-8a98f9c71b33 · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods.

The Zamba2 Suite: Technical Report Peft: State-of-the-art parameter-efficient fine-tuning methods

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.239240Z

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Observation 3d2f3346-8296-49f4-ae55-f544fd357abf · outbound

This paper cites Introducing Meta Llama 3: The most capable openly available LLM to date.

The Zamba2 Suite: Technical Report Introducing Meta Llama 3: The most capable openly available LLM to date

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:38.946926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 32070188-a430-4769-9409-2071a6e87337 · outbound

This paper cites Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.

The Zamba2 Suite: Technical Report Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.246881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0408dc6-642d-40db-9ef2-e6a98c897e16 · outbound

This paper cites Can mamba learn how to learn? a comparative study on in-context learning tasks, 2024 b.

The Zamba2 Suite: Technical Report Can mamba learn how to learn? a comparative study on in-context learning tasks, 2024 b

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:38.934886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92106d9b-2470-4af2-b038-857279f9f6bb · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

The Zamba2 Suite: Technical Report The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.255873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11de0fe9-08bb-4dc2-a96a-f5d5b232ca49 · outbound

This paper cites Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, and Rui-Jie Zhu.

The Zamba2 Suite: Technical Report Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, and Rui-Jie Zhu

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.260182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ab5171-0d1e-4d80-8266-b32390e83005 · outbound

This paper cites au2, Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanisław Woźniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, and Rui-Jie Zhu.

The Zamba2 Suite: Technical Report au2, Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanisław Woźniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, and Rui-Jie Zhu

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:38.915042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57658cef-db31-4c95-9644-2c1e69cb1453 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

The Zamba2 Suite: Technical Report YaRN: Efficient Context Window Extension of Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.268007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd089d6-6866-459c-9c17-557a35839e6c · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

The Zamba2 Suite: Technical Report Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.274101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473a0a33-7ea0-4a85-b225-779c160121f1 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

The Zamba2 Suite: Technical Report ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.278698Z

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Observation 86c51a05-9d95-4d12-ab0c-416cce76fa8c · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

The Zamba2 Suite: Technical Report Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.283890Z

Source-reported events for the cited work

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Observation a702250e-e175-40c1-af86-c7411d5b6104 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

The Zamba2 Suite: Technical Report RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.289440Z

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Unavailable: canonical work link unavailable.

Observation 15db5fdd-dd72-44c1-8253-6926d967313a · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

The Zamba2 Suite: Technical Report Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.294666Z

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Observation 69283ad4-0843-4ec2-b69e-af5ebb2bf969 · outbound

This paper cites Zyda: A 1.3T Dataset for Open Language Modeling , 2024.

The Zamba2 Suite: Technical Report Zyda: A 1.3T Dataset for Open Language Modeling , 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:38.893941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24f7be8b-d558-4807-83a9-0f11fc1767a3 · outbound

This paper cites Attention is all you need.

The Zamba2 Suite: Technical Report Attention is all you need

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.302967Z

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Observation 9b421110-4569-411a-86fe-9986bb04e2ef · outbound

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

The Zamba2 Suite: Technical Report An Empirical Study of Mamba-based Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.307370Z

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Observation 4036c3eb-13e1-4c04-a5bf-b953a00fce25 · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

The Zamba2 Suite: Technical Report Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.312548Z

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Observation d0d95405-1021-47d1-85e4-6cab2bbc636b · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

The Zamba2 Suite: Technical Report Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.316694Z

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Observation bcf3292a-07f8-4663-9f2f-da5521cf16dc · outbound

This paper cites Building Zyda-2 , a 5 Trillion Token High-Quality Dataset , with NVIDIA NeMo Curator , October 2024.

The Zamba2 Suite: Technical Report Building Zyda-2 , a 5 Trillion Token High-Quality Dataset , with NVIDIA NeMo Curator , October 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:04:38.872806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad4ff2c6-ddda-4dae-8203-2f42410eafbb · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

The Zamba2 Suite: Technical Report Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 57

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Observation 9a729c77-40d6-4664-9247-ae94f622aba1 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

The Zamba2 Suite: Technical Report Instruction-Following Evaluation for Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.329873Z

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Observation c4b94a19-6078-430f-95a9-2ad9eea0be12 · outbound

This paper cites Falcon Mamba: The First Competitive Attention-free 7B Language Model.

The Zamba2 Suite: Technical Report Falcon Mamba: The First Competitive Attention-free 7B Language Model

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.336043Z

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Observation 35ba5c94-b359-46b7-b05c-dfcdccfb544a · outbound

This paper cites write newline.

The Zamba2 Suite: Technical Report write newline

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.340700Z

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Pith citing papers

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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 The Zamba2 Suite: Technical Report

Reference 13

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Observation 511592ce-da80-49e7-a645-db5cee068e8c · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices The Zamba2 Suite: Technical Report

Reference 63

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 021c7a22-b247-4b44-84f0-21ce7882fa0b · inbound

LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement cites this paper.

LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement The Zamba2 Suite: Technical Report

Reference 7

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Observation c5f87c24-ede5-4183-ba96-f8f2899182f2 · inbound

SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot cites this paper.

SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot The Zamba2 Suite: Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:38.464248Z

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Observation 7cedab62-7fae-4d28-bc68-0dc68f18b2a8 · inbound

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

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights The Zamba2 Suite: Technical Report

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:21:15.138479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19b1b630-6f19-4e84-acd8-35d21ca6d74f · inbound

LayerBoost: Layer-Aware Attention Reduction for Efficient LLMs cites this paper.

LayerBoost: Layer-Aware Attention Reduction for Efficient LLMs The Zamba2 Suite: Technical Report

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:49:15.703080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce5f62a9-f21a-4102-862c-a43f2704c25a · inbound

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

The Impossibility Triangle of Long-Context Modeling The Zamba2 Suite: Technical Report

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:41:09.008678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66d059d1-a877-442f-8b35-8a46beabc224 · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report The Zamba2 Suite: Technical Report

Reference 172

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:26:05.375664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a6cea06-f8a6-4b78-9de1-0d4e59351183 · inbound

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

Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer Inference The Zamba2 Suite: Technical Report

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:31:14.115031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81c6b540-72ef-486e-890c-773e05e4ca6d · inbound

Zamba2-VL Technical Report cites this paper.

Zamba2-VL Technical Report The Zamba2 Suite: Technical Report

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.712927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff872b85-e87c-499a-8d3a-e8c0c4f7de46 · inbound

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

Forget Attention: Importance-Aware Attention Is All You Need The Zamba2 Suite: Technical Report

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:21.052889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1b14f43-e1a7-4d40-9dc6-0a48381093fd · 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 The Zamba2 Suite: Technical Report

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:46:26.674510Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7acb927d-71b2-43e4-aa4a-e094447a5932 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report The Zamba2 Suite: Technical Report

Reference 213

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:40:03.206937Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e49a6fe6-6ad2-4298-ad91-dfbe6eccca35 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report The Zamba2 Suite: Technical Report

Reference 213

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:15:58.947175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 950f8509-5ccb-41bf-893d-bb726ed96038 · inbound

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

The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale The Zamba2 Suite: Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T06:39:21.486507Z

Source-reported events for the cited work

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Observation be520e97-6d05-4bcf-8e83-abd7f191bf0a · inbound

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

The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale The Zamba2 Suite: Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T02:03:23.103188Z

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Observation 3ceafc7c-f9f3-47f3-ba6b-e8e2a017f950 · 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 The Zamba2 Suite: Technical Report

Reference 182

Resolution: unresolved; no resolver link, observed 2026-08-01T09:52:06.353911Z

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Observation 7d39d2e4-ab2e-4fa0-807e-4b3fc554fa30 · inbound

Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus cites this paper.

Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus The Zamba2 Suite: Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:18:34.748692Z

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